Delivering on Responsible AI in Healthcare
0 likes77 views
The document outlines Gregory S. Nelson's background in social psychology and healthcare analytics, emphasizing the importance of responsible AI in healthcare. It discusses patient referral processes and the potential delays caused by system inefficiencies, using the case of a patient diagnosed with metastatic melanoma as an example. The content also highlights strategies for deploying AI ethically and transparently, detailing a framework for building trust, managing bias, and integrating AI solutions into healthcare workflows.
1 of 16
Download to read offline
Ad
Recommended
Spinka pechakucha1
Spinka pechakucha1Daniel Spinka
油
This document discusses equitable allocation of resources from Measure N and examines whether the distribution process has been equitable. It looks at student enrollment, achievement, and access across different groups, and whether any inequities in these areas could lead to inequities in how funding applications are approved. The document reports some alarming findings and establishes non-negotiables around ensuring equitable access for all students.Eapp Evaluation
Eapp EvaluationPGAEAPP
油
The document discusses the importance of evaluating projects and learning technologies. It provides reasons to evaluate, such as ensuring quality, meeting stakeholder needs, and demonstrating effectiveness. It also lists common stakeholders in evaluation like learners, funders, and educators. Several evaluation methods are described, including checklists, questionnaires, interviews, observation, and analyzing system log data. The document stresses considering objectivity, reliability, practicality and validity when choosing evaluation methods. It prompts the reader to select appropriate methods for their case and consider the pros and cons of different options.Artificial Intelligence for Societal Impact
Artificial Intelligence for Societal ImpactAmit Sharma
油
Artificial intelligence can help address societal problems in areas like healthcare, education, financial inclusion and more. The document discusses two examples: (1) Using machine learning to help tuberculosis health workers prioritize patients by predicting adherence and outcomes, and (2) Analyzing online mental health forums to understand effective peer support and identify "moments of change". While correlations can be misleading, focused work with domain experts can produce models that achieve accuracy over 70% in predicting moments of change. Overall, AI is an amplifier that must be developed responsibly with societal impact in mind.Digital Scholar Webinar: Breaking Down (Brick) Walls: Switching to Remote, Vi...
Digital Scholar Webinar: Breaking Down (Brick) Walls: Switching to Remote, Vi...SC CTSI at USC and CHLA
油
The document discusses the transition to decentralized clinical trials, outlining the importance of engaging all stakeholders, including patients and healthcare providers, to improve trial quality and efficiency. It presents recommendations for designing decentralized trials, addressing challenges posed by COVID-19, and emphasizes the need for adapting protocols and utilizing technologies such as telemedicine. The document ultimately highlights the momentum toward digital health integration in clinical trials and anticipates continued implementation of these changes.Algorithmic Bias: Challenges and Opportunities for AI in Healthcare
Algorithmic Bias: Challenges and Opportunities for AI in HealthcareGregory Nelson
油
The document discusses algorithmic bias in AI healthcare applications, emphasizing the need for responsible practices to ensure fairness and transparency in AI models. It highlights various potential biases in healthcare algorithms and stresses the importance of clinician involvement for validation. The text also calls for establishing trust through accountability, privacy protections, and rigorous evaluation of AI tools used in medical decision-making.Pandemic Tech: How Emerging Technologies Can Mitigate the Impact of Covid-19 ...
Pandemic Tech: How Emerging Technologies Can Mitigate the Impact of Covid-19 ...Tory Cenaj
油
This document summarizes how emerging technologies like blockchain can help address challenges posed by the COVID-19 pandemic and future pandemics. It discusses how blockchain can enable self-sovereign identity and health records, improve supply chain management, sustain economies, create medical professional registries, and incentivize responsible behavior. The document also provides an overview of Sean Manion's presentation on how blockchain can accelerate medical research by improving data sharing, tracking of methods/analyses, peer review processes, and publishing models.Algorithms and bias: What lenders need to know
Algorithms and bias: What lenders need to knowWhite & Case
油
The document discusses the implications of algorithms and artificial intelligence in lending practices, emphasizing the potential for unintended biases that can affect credit decisions. It highlights various types of biasinput, programming, and trainingthat can lead to discriminatory outcomes, particularly when using big data for assessing creditworthiness. Additionally, it advises lenders to monitor regulatory changes and adopt strategies to mitigate risks associated with bias in algorithmic decision-making processes.Full METL Research to Faster Miracles
Full METL Research to Faster MiraclesSean Manion PhD
油
The document outlines the distributed science value proposition, which includes better science through improved reproducibility, cheaper research through increased return on investment, and faster medical breakthroughs by reducing administrative delays. It notes current issues like a lack of reproducibility in 20% of U.S. health research and the high costs of non-replicable studies. Blockchain and related technologies could help address these problems by enabling greater transparency, standardization, and data sharing to improve research quality while reducing costs and speeding up the research process.Pbrn digital social media 2
Pbrn digital social media 2Amanda Ross
油
This document summarizes research on best practices in digital social media for hospitals and health systems. The research assessed the social media presence of over 2,400 hospitals on five dimensions: accessibility, content, marketing, technology, and usability. Scores on each dimension ranged from 0-10, with higher scores indicating better performance. On average, hospitals scored highest on content (6.49) and lowest on technology (4.43). The results imply that a strong, well-designed social media presence is important as it may be patients' first interaction with a facility and influence decisions. Hospitals should standardize website information quality and address accessibility, compliance, and search engine optimization.Reciprocity ROI, LLC Methods in Healthcare, Robotics and AI
Reciprocity ROI, LLC Methods in Healthcare, Robotics and AIPaul Claxton
油
The document outlines a strategic approach to innovating within healthcare by integrating robotics and AI through collaborative business development in diverse ecosystems. It emphasizes identifying short-term and long-term opportunities while leveraging external partnerships to generate fresh insights and enhance capabilities in the health and wellness sector. Key concepts include engaging extended teams for exploratory innovation, focusing on new models of care delivery, and utilizing technology for distributed and affordable healthcare solutions.What healthcare executives should know about artificial intelligence
What healthcare executives should know about artificial intelligenceArlen Meyers, MD, MBA
油
This document provides an overview of artificial intelligence in healthcare by an expert in the field. It discusses key concepts like machine learning, deep learning and artificial intelligence. It explores applications of AI in areas like computer vision, vocal biomarkers, and skin cancer detection. It also covers barriers to adoption like trust, transparency and bias issues. Ethical principles from WHO are outlined around human autonomy, safety, transparency and accountability. The impacts on the medical workforce and potential to widen healthcare access gaps are debated. A proposed "Patient AI Bill of Rights" addresses issues like consent, bias, explanations and oversight.EY Drug R&D: Big DATA for big returns
EY Drug R&D: Big DATA for big returnsThomas Wilckens
油
This document discusses how big data can help reduce costs and increase productivity in drug R&D. It outlines challenges such as increased clinical trials, patients, and data requirements that have led to higher R&D costs. Big data is presented as a solution by bringing more insights from data rather than resources. The document provides case studies and a 6-step approach for companies to leverage big data in R&D, including establishing an analytics strategy, identifying relevant data sources, and optimizing their analytics organization.Ai in healthcare (3)
Ai in healthcare (3)Nicholas Gormley
油
This document discusses how artificial intelligence is being used in healthcare for more accurate and faster diagnosis of medical conditions. It explains that AI can assist doctors in diagnosis or even make diagnoses independently using machine learning. The technology is being implemented in hospitals using diagnostic AI that can offer suggestions to doctors. While initial costs are high, AI is expected to save billions and greatly increase the efficiency of diagnosis. It predicts that AI will be widely used in healthcare by 2025 to benefit patients through reduced costs, more accessible care, and better outcomes.But Does It Work? The Critical Role of Evaluation in Digital Health
But Does It Work? The Critical Role of Evaluation in Digital HealthDustin DiTommaso
油
The document discusses the importance of evaluation in digital health products, emphasizing that effectiveness is the key differentiator for these offerings. It outlines the different types of evaluations that can be integrated into the design process, such as qualitative, descriptive, economic, and comparative evaluations. Furthermore, it suggests actionable steps for developing effective digital health solutions, including creating a model to guide product outcomes and behavior change techniques.Mobile Health Symposium #HIMSS15 Session Mh1
Mobile Health Symposium #HIMSS15 Session Mh13GDR
油
The presentation by Ahmed Albaiti discusses the current landscape of mobile health (mHealth), its definitions, applications, and challenges faced by both consumers and clinicians. It highlights the transition from mHealth to Health Internet of Things (IoT) and outlines patient perspectives on digital healthcare services, emphasizing the importance of accessibility and integration. The document concludes with considerations on the potential disruptions Health IoT could bring to healthcare by focusing on patient satisfaction and innovative technologies.AI for operations CDAO fall 2023.pdf
AI for operations CDAO fall 2023.pdfDr. Niren Sirohi
油
The document outlines steps for developing an effective AI strategy in healthcare operations, emphasizing the growing impact of generative AI, which is projected to outpace other industries. It details key pillars such as identifying high-impact use cases, workforce transformation, and cross-department collaboration, while addressing potential risks and efficiencies in administrative processes. Additionally, it discusses governance structures, agile prototyping, and the need for a renewed focus on data quality and management to leverage AI effectively.TeraCrunch: Transforming Organizations with Machien Learning and Gen-AI Solut...
TeraCrunch: Transforming Organizations with Machien Learning and Gen-AI Solut...KC Digital Drive
油
This document outlines the mission and services of Teracrunch AI Solutions, which focuses on providing AI-driven solutions to healthcare organizations to enhance patient care while ensuring cost-efficiency. Their offerings include machine learning and generative AI applications for patient risk assessment, scheduling, engagement, and claims management, aiming to improve healthcare outcomes and operational efficiencies. The document also highlights successful case studies showcasing significant improvements in patient outcomes and resource allocation through data-driven methodologies.Sergio Carbone - Gartner MDM Sumit
Sergio Carbone - Gartner MDM Sumitsccarbone
油
Vree Health's EngageAdvantage platform focuses on enhancing patient-centered outcomes by integrating technology with personalized healthcare services. The platform aims to address challenges in patient relationship management, data integration, and care optimization, while emphasizing rapid deployment and customer support. Key takeaways highlight the importance of commitment to vision, early impact, and leveraging expert partnerships to drive success in healthcare delivery.Strategies for Promoting Innovation in Healthcare Like Akiva Greenfield.pdf
Strategies for Promoting Innovation in Healthcare Like Akiva Greenfield.pdfakivagreenfieldus
油
Healthcare innovation has been greatly aided by leaders like Akiva Greenfield, CEO of Nexus, particularly in fields like operational efficiency, revenue cycle management (RCM), and client engagement. In order to ensure both operational success and better patient experiences, Akiva's approach combines technological advancements with an emphasis on improving the human side of healthcare.
David Champeaux @ChampeauxDavid
David Champeaux @ChampeauxDavid3GDR
油
This document discusses how predictive analytics and intelligent service platforms can transform healthcare delivery at scale by leveraging data and technology while keeping people at the center. It highlights Accenture's digital health technology vision which focuses on five trends: intelligent automation, liquid workforce, platform economy, digital trust, and predictable disruption. The trends emphasize the importance of people - both patients and healthcare workers. The document also provides a case study of analytics-driven case management in Valencia, Spain that has led to reductions in unplanned hospital admissions and stays through risk stratification, coordinated care, and a holistic patient approach.Best AI Healthcare Solution Company - Bluebash
Best AI Healthcare Solution Company - BluebashBluebash
油
Artificial intelligence (AI) is significantly transforming healthcare through innovations in diagnostics, personalized medicine, and administrative efficiencies, making systems more patient-centric. Key players like Bluebash, CureMetrix, and Viz.ai are enhancing care delivery by employing AI to detect diseases earlier, streamline hospital operations, and improve patient outcomes. Despite challenges such as data privacy and ethical concerns, the ongoing evolution of AI is set to redefine healthcare standards by prioritizing patient outcomes and fostering continuous innovation.IoHT Tatiana Abreu
IoHT Tatiana AbreuTatiana Abreu-Romu
油
Tatiana Abreu's final assignment analyzes the Apotti project and proposes an alternative healthcare ecosystem called S-Care, advocating for multiple suppliers instead of a singular solution. The document examines the current state of healthcare operations, the challenges posed by digital transformation, and the role of IoT and AI in improving healthcare efficiency and cost-effectiveness. It emphasizes the need for collaboration and integration among various technologies and stakeholders to create a more efficient and patient-centered healthcare system.What's your strategy? Getting tactical about being strategic.
What's your strategy? Getting tactical about being strategic.Doug Hall
油
The document discusses the importance of strategy in business, emphasizing that strategy is not just for leaders but for everyone within an organization. It highlights the need for clear communication and alignment with goals, particularly in areas such as data and brand strategy, and suggests a holistic approach to developing a strategy that adds value for stakeholders. The author shares personal insights from their experience in building a strategic services agency, focusing on collaboration, growth, and accountability.From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience
From Diagnosis to Delivery: How AI is Revolutionizing the Patient ExperienceAggregage
油
The document discusses the transformative impact of AI in healthcare, focusing on enhancements in patient communication, predictive medicine, and workflow efficiency. It highlights various use cases, such as the use of AI for personalized treatment plans, improved diagnostics, and operational automation, while also addressing challenges like ethical concerns and data privacy. The future of AI in healthcare points toward a more integrated, human-centric approach that emphasizes emotional intelligence and connection.The Pros & Cons of Brexit for UKs Automotive & Healthcare Industries
The Pros & Cons of Brexit for UKs Automotive & Healthcare IndustriesRNayak3
油
The document outlines a blueprint for implementing generative AI (gen AI) in healthcare and life sciences, emphasizing its potential to unlock significant value through enhanced diagnostics, drug discovery, and improved operational efficiencies. It highlights the rise in investments in gen AI, its capabilities in processing unstructured data, and the need for robust guidelines to address risks related to privacy and compliance. The EDGE framework is introduced as a structured approach to prioritize and implement gen AI initiatives while ensuring governance and maximizing return on investment.Healthcare BPM | Healthcare BPO Companies| Healthcare Outsourcing
Healthcare BPM | Healthcare BPO Companies| Healthcare OutsourcingRNayak3
油
The document outlines the transformative potential of generative AI (gen AI) in the healthcare and life sciences sectors, highlighting its ability to streamline operations, improve clinical decision-making, and enhance drug discovery processes. It discusses the expected high adoption rates of gen AI, projected economic benefits, and outlines key use cases across payers and providers, while addressing concerns regarding risk, privacy, and security. Additionally, the 'EDGE' framework is introduced as a strategic approach for implementation, emphasizing the need for governance, collaboration, and a focus on tangible ROI.Healthcare BPM | Healthcare BPO Services| Healthcare Outsourcing
Healthcare BPM | Healthcare BPO Services| Healthcare OutsourcingRNayak3
油
The document outlines the transformative potential of generative AI (gen AI) in healthcare and life sciences, highlighting its ability to unlock significant financial improvements and enhance operational efficiencies. By processing unstructured data, gen AI can innovate clinical diagnostics, administrative functions, and drug discovery, although concerns regarding privacy and compliance arise. A strategic framework, known as the EDGE framework, is proposed to prioritize and implement gen AI use cases while addressing associated risks and maximizing ROI.Health care analytics
Health care analyticsRohit Bisht
油
This document discusses healthcare analytics. It begins by defining healthcare analytics as focusing on technologies and processes that measure, manage, and analyze healthcare data to enable more effective and efficient operational and clinical decisions. It then outlines the objectives of healthcare analytics as making decisions data-driven, transparent, verifiable, and robust. The document describes the main types of analytics as descriptive, predictive, diagnostic, and prescriptive. It also lists some common sources of healthcare data and how healthcare companies use analytics to reduce costs, improve patient outcomes, and conduct randomized clinical trials. Emerging technologies discussed include big data, AI/ML, blockchain, and AR/VR. Finally, some existing healthcare analytics tools on the market are briefly described.AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdf
AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdfKikuyu Kiku
油
Jayesh Saini's Lifecare Hospital Group is revolutionizing healthcare in Africa by integrating artificial intelligence (AI) and machine learning (ML) into patient care, operational efficiency, and personalized treatment plans. The group focuses on predictive diagnostics, medical imaging, telemedicine, and enhanced patient engagement, aiming for accessible and high-quality healthcare for all socioeconomic levels. Despite challenges like privacy concerns and the need for skilled personnel, Lifecare and Bliss Healthcare are committed to overcoming these obstacles to redefine healthcare standards across the continent.AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdf
AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdfMeru Kilonzo
油
Jayesh Saini's Lifecare Hospital Group is revolutionizing healthcare in Africa by implementing artificial intelligence (AI) and machine learning (ML) to enhance patient care, streamline operations, and ensure accessibility. The hospitals utilize AI for predictive diagnostics, medical imaging, telemedicine services, and personalized treatment plans, which contribute to improved health outcomes and operational efficiency. Committed to ethical practices and addressing challenges in technology implementation, Lifecare is setting benchmarks for quality and affordable healthcare across the continent.More Related Content
What's hot (7)
Pbrn digital social media 2
Pbrn digital social media 2Amanda Ross
油
This document summarizes research on best practices in digital social media for hospitals and health systems. The research assessed the social media presence of over 2,400 hospitals on five dimensions: accessibility, content, marketing, technology, and usability. Scores on each dimension ranged from 0-10, with higher scores indicating better performance. On average, hospitals scored highest on content (6.49) and lowest on technology (4.43). The results imply that a strong, well-designed social media presence is important as it may be patients' first interaction with a facility and influence decisions. Hospitals should standardize website information quality and address accessibility, compliance, and search engine optimization.Reciprocity ROI, LLC Methods in Healthcare, Robotics and AI
Reciprocity ROI, LLC Methods in Healthcare, Robotics and AIPaul Claxton
油
The document outlines a strategic approach to innovating within healthcare by integrating robotics and AI through collaborative business development in diverse ecosystems. It emphasizes identifying short-term and long-term opportunities while leveraging external partnerships to generate fresh insights and enhance capabilities in the health and wellness sector. Key concepts include engaging extended teams for exploratory innovation, focusing on new models of care delivery, and utilizing technology for distributed and affordable healthcare solutions.What healthcare executives should know about artificial intelligence
What healthcare executives should know about artificial intelligenceArlen Meyers, MD, MBA
油
This document provides an overview of artificial intelligence in healthcare by an expert in the field. It discusses key concepts like machine learning, deep learning and artificial intelligence. It explores applications of AI in areas like computer vision, vocal biomarkers, and skin cancer detection. It also covers barriers to adoption like trust, transparency and bias issues. Ethical principles from WHO are outlined around human autonomy, safety, transparency and accountability. The impacts on the medical workforce and potential to widen healthcare access gaps are debated. A proposed "Patient AI Bill of Rights" addresses issues like consent, bias, explanations and oversight.EY Drug R&D: Big DATA for big returns
EY Drug R&D: Big DATA for big returnsThomas Wilckens
油
This document discusses how big data can help reduce costs and increase productivity in drug R&D. It outlines challenges such as increased clinical trials, patients, and data requirements that have led to higher R&D costs. Big data is presented as a solution by bringing more insights from data rather than resources. The document provides case studies and a 6-step approach for companies to leverage big data in R&D, including establishing an analytics strategy, identifying relevant data sources, and optimizing their analytics organization.Ai in healthcare (3)
Ai in healthcare (3)Nicholas Gormley
油
This document discusses how artificial intelligence is being used in healthcare for more accurate and faster diagnosis of medical conditions. It explains that AI can assist doctors in diagnosis or even make diagnoses independently using machine learning. The technology is being implemented in hospitals using diagnostic AI that can offer suggestions to doctors. While initial costs are high, AI is expected to save billions and greatly increase the efficiency of diagnosis. It predicts that AI will be widely used in healthcare by 2025 to benefit patients through reduced costs, more accessible care, and better outcomes.But Does It Work? The Critical Role of Evaluation in Digital Health
But Does It Work? The Critical Role of Evaluation in Digital HealthDustin DiTommaso
油
The document discusses the importance of evaluation in digital health products, emphasizing that effectiveness is the key differentiator for these offerings. It outlines the different types of evaluations that can be integrated into the design process, such as qualitative, descriptive, economic, and comparative evaluations. Furthermore, it suggests actionable steps for developing effective digital health solutions, including creating a model to guide product outcomes and behavior change techniques.Mobile Health Symposium #HIMSS15 Session Mh1
Mobile Health Symposium #HIMSS15 Session Mh13GDR
油
The presentation by Ahmed Albaiti discusses the current landscape of mobile health (mHealth), its definitions, applications, and challenges faced by both consumers and clinicians. It highlights the transition from mHealth to Health Internet of Things (IoT) and outlines patient perspectives on digital healthcare services, emphasizing the importance of accessibility and integration. The document concludes with considerations on the potential disruptions Health IoT could bring to healthcare by focusing on patient satisfaction and innovative technologies.Similar to Delivering on Responsible AI in Healthcare (20)
AI for operations CDAO fall 2023.pdf
AI for operations CDAO fall 2023.pdfDr. Niren Sirohi
油
The document outlines steps for developing an effective AI strategy in healthcare operations, emphasizing the growing impact of generative AI, which is projected to outpace other industries. It details key pillars such as identifying high-impact use cases, workforce transformation, and cross-department collaboration, while addressing potential risks and efficiencies in administrative processes. Additionally, it discusses governance structures, agile prototyping, and the need for a renewed focus on data quality and management to leverage AI effectively.TeraCrunch: Transforming Organizations with Machien Learning and Gen-AI Solut...
TeraCrunch: Transforming Organizations with Machien Learning and Gen-AI Solut...KC Digital Drive
油
This document outlines the mission and services of Teracrunch AI Solutions, which focuses on providing AI-driven solutions to healthcare organizations to enhance patient care while ensuring cost-efficiency. Their offerings include machine learning and generative AI applications for patient risk assessment, scheduling, engagement, and claims management, aiming to improve healthcare outcomes and operational efficiencies. The document also highlights successful case studies showcasing significant improvements in patient outcomes and resource allocation through data-driven methodologies.Sergio Carbone - Gartner MDM Sumit
Sergio Carbone - Gartner MDM Sumitsccarbone
油
Vree Health's EngageAdvantage platform focuses on enhancing patient-centered outcomes by integrating technology with personalized healthcare services. The platform aims to address challenges in patient relationship management, data integration, and care optimization, while emphasizing rapid deployment and customer support. Key takeaways highlight the importance of commitment to vision, early impact, and leveraging expert partnerships to drive success in healthcare delivery.Strategies for Promoting Innovation in Healthcare Like Akiva Greenfield.pdf
Strategies for Promoting Innovation in Healthcare Like Akiva Greenfield.pdfakivagreenfieldus
油
Healthcare innovation has been greatly aided by leaders like Akiva Greenfield, CEO of Nexus, particularly in fields like operational efficiency, revenue cycle management (RCM), and client engagement. In order to ensure both operational success and better patient experiences, Akiva's approach combines technological advancements with an emphasis on improving the human side of healthcare.
David Champeaux @ChampeauxDavid
David Champeaux @ChampeauxDavid3GDR
油
This document discusses how predictive analytics and intelligent service platforms can transform healthcare delivery at scale by leveraging data and technology while keeping people at the center. It highlights Accenture's digital health technology vision which focuses on five trends: intelligent automation, liquid workforce, platform economy, digital trust, and predictable disruption. The trends emphasize the importance of people - both patients and healthcare workers. The document also provides a case study of analytics-driven case management in Valencia, Spain that has led to reductions in unplanned hospital admissions and stays through risk stratification, coordinated care, and a holistic patient approach.Best AI Healthcare Solution Company - Bluebash
Best AI Healthcare Solution Company - BluebashBluebash
油
Artificial intelligence (AI) is significantly transforming healthcare through innovations in diagnostics, personalized medicine, and administrative efficiencies, making systems more patient-centric. Key players like Bluebash, CureMetrix, and Viz.ai are enhancing care delivery by employing AI to detect diseases earlier, streamline hospital operations, and improve patient outcomes. Despite challenges such as data privacy and ethical concerns, the ongoing evolution of AI is set to redefine healthcare standards by prioritizing patient outcomes and fostering continuous innovation.IoHT Tatiana Abreu
IoHT Tatiana AbreuTatiana Abreu-Romu
油
Tatiana Abreu's final assignment analyzes the Apotti project and proposes an alternative healthcare ecosystem called S-Care, advocating for multiple suppliers instead of a singular solution. The document examines the current state of healthcare operations, the challenges posed by digital transformation, and the role of IoT and AI in improving healthcare efficiency and cost-effectiveness. It emphasizes the need for collaboration and integration among various technologies and stakeholders to create a more efficient and patient-centered healthcare system.What's your strategy? Getting tactical about being strategic.
What's your strategy? Getting tactical about being strategic.Doug Hall
油
The document discusses the importance of strategy in business, emphasizing that strategy is not just for leaders but for everyone within an organization. It highlights the need for clear communication and alignment with goals, particularly in areas such as data and brand strategy, and suggests a holistic approach to developing a strategy that adds value for stakeholders. The author shares personal insights from their experience in building a strategic services agency, focusing on collaboration, growth, and accountability.From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience
From Diagnosis to Delivery: How AI is Revolutionizing the Patient ExperienceAggregage
油
The document discusses the transformative impact of AI in healthcare, focusing on enhancements in patient communication, predictive medicine, and workflow efficiency. It highlights various use cases, such as the use of AI for personalized treatment plans, improved diagnostics, and operational automation, while also addressing challenges like ethical concerns and data privacy. The future of AI in healthcare points toward a more integrated, human-centric approach that emphasizes emotional intelligence and connection.The Pros & Cons of Brexit for UKs Automotive & Healthcare Industries
The Pros & Cons of Brexit for UKs Automotive & Healthcare IndustriesRNayak3
油
The document outlines a blueprint for implementing generative AI (gen AI) in healthcare and life sciences, emphasizing its potential to unlock significant value through enhanced diagnostics, drug discovery, and improved operational efficiencies. It highlights the rise in investments in gen AI, its capabilities in processing unstructured data, and the need for robust guidelines to address risks related to privacy and compliance. The EDGE framework is introduced as a structured approach to prioritize and implement gen AI initiatives while ensuring governance and maximizing return on investment.Healthcare BPM | Healthcare BPO Companies| Healthcare Outsourcing
Healthcare BPM | Healthcare BPO Companies| Healthcare OutsourcingRNayak3
油
The document outlines the transformative potential of generative AI (gen AI) in the healthcare and life sciences sectors, highlighting its ability to streamline operations, improve clinical decision-making, and enhance drug discovery processes. It discusses the expected high adoption rates of gen AI, projected economic benefits, and outlines key use cases across payers and providers, while addressing concerns regarding risk, privacy, and security. Additionally, the 'EDGE' framework is introduced as a strategic approach for implementation, emphasizing the need for governance, collaboration, and a focus on tangible ROI.Healthcare BPM | Healthcare BPO Services| Healthcare Outsourcing
Healthcare BPM | Healthcare BPO Services| Healthcare OutsourcingRNayak3
油
The document outlines the transformative potential of generative AI (gen AI) in healthcare and life sciences, highlighting its ability to unlock significant financial improvements and enhance operational efficiencies. By processing unstructured data, gen AI can innovate clinical diagnostics, administrative functions, and drug discovery, although concerns regarding privacy and compliance arise. A strategic framework, known as the EDGE framework, is proposed to prioritize and implement gen AI use cases while addressing associated risks and maximizing ROI.Health care analytics
Health care analyticsRohit Bisht
油
This document discusses healthcare analytics. It begins by defining healthcare analytics as focusing on technologies and processes that measure, manage, and analyze healthcare data to enable more effective and efficient operational and clinical decisions. It then outlines the objectives of healthcare analytics as making decisions data-driven, transparent, verifiable, and robust. The document describes the main types of analytics as descriptive, predictive, diagnostic, and prescriptive. It also lists some common sources of healthcare data and how healthcare companies use analytics to reduce costs, improve patient outcomes, and conduct randomized clinical trials. Emerging technologies discussed include big data, AI/ML, blockchain, and AR/VR. Finally, some existing healthcare analytics tools on the market are briefly described.AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdf
AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdfKikuyu Kiku
油
Jayesh Saini's Lifecare Hospital Group is revolutionizing healthcare in Africa by integrating artificial intelligence (AI) and machine learning (ML) into patient care, operational efficiency, and personalized treatment plans. The group focuses on predictive diagnostics, medical imaging, telemedicine, and enhanced patient engagement, aiming for accessible and high-quality healthcare for all socioeconomic levels. Despite challenges like privacy concerns and the need for skilled personnel, Lifecare and Bliss Healthcare are committed to overcoming these obstacles to redefine healthcare standards across the continent.AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdf
AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdfMeru Kilonzo
油
Jayesh Saini's Lifecare Hospital Group is revolutionizing healthcare in Africa by implementing artificial intelligence (AI) and machine learning (ML) to enhance patient care, streamline operations, and ensure accessibility. The hospitals utilize AI for predictive diagnostics, medical imaging, telemedicine services, and personalized treatment plans, which contribute to improved health outcomes and operational efficiency. Committed to ethical practices and addressing challenges in technology implementation, Lifecare is setting benchmarks for quality and affordable healthcare across the continent.AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdf
AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdfKikuyu Kiku
油
Jayesh Saini's Lifecare Hospital Group is revolutionizing healthcare in Africa through the integration of artificial intelligence (AI) and machine learning (ML), enhancing patient care, operational efficiency, and accessibility. By utilizing AI for predictive diagnostics, telemedicine, personalized treatment, and resource management, the organization positions itself as a leader in healthcare innovation, striving for a more responsive and equitable healthcare system. Through Saini's visionary leadership, Lifecare and Bliss Healthcare are setting benchmarks for affordable care and continuous improvement in patient engagement.AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdf
AI & ML Workshop_Career Launcher_Africare & Lifecare Group.pdfMeru Kilonzo
油
Jayesh Saini's Lifecare Hospitals and Bliss Healthcare are pioneering the use of artificial intelligence (AI) and machine learning (ML) to enhance patient care and operational efficiency in healthcare across Africa. By implementing AI-driven predictive diagnostics, medical imaging, telemedicine, personalized treatment plans, and improved resource management, they aim to make healthcare more accessible and affordable. The institutions are committed to overcoming challenges associated with AI adoption while focusing on innovation to set new healthcare standards.Structured solutions to wicked problems
Structured solutions to wicked problemsNasir Hussain
油
Strategy Foresight Ltd is a technology company developing decision support software that integrates qualitative and quantitative data to help organizations tackle complex, uncertain problems. The company has a multi-disciplinary team and is based at Imperial College London, focusing on proprietary technology that streamlines decision-making processes and addresses 'wicked problems' prevalent in various industries. Their unique morphological analysis methodology is designed to analyze large data sets quickly, significantly reducing the problem space while maintaining effectiveness.2015 Houston CHIME Lead Forum
2015 Houston CHIME Lead ForumHealth IT Conference iHT2
油
This document summarizes a presentation about setting vision and strategy for health IT leaders in dynamic times. It discusses exploring new leadership skills required for effective collaboration. It also addresses aligning technology strategies with organizational services and objectives. Additionally, it covers representing the organization to external partners to achieve business goals while leveraging technology. The presentation provides approaches for health IT leaders to develop an organizational vision and strategy that can adapt to changing conditions.Connecting the Healthcare Ecosystem - An Architecture for Improved Health
Connecting the Healthcare Ecosystem - An Architecture for Improved HealthProlifics
油
The document outlines an architecture for improved healthcare connectivity, focusing on Prolifics' expertise in integrating IBM solutions for better healthcare management. It highlights the increasing market demand for health IT, emphasizing a shift toward value-based care, automation of data processing, and the importance of connectivity among healthcare providers. Essential components discussed include enterprise service bus (ESB) technology and the advantages of integrating various health information systems to enhance clinical decision-making and patient care outcomes.Ad
Recently uploaded (20)
Radiological diagnosis of Gastric carcinoma
Radiological diagnosis of Gastric carcinomaabid hossain
油
radiological presentation of stages of gastric cancer , different modalities to identify and doagnose them VoyageHealing- ketamine and wellness clinic.pdf
VoyageHealing- ketamine and wellness clinic.pdfVoyage Healing
油
A Compassionate Ketamine and Wellness Clinic.
At Voyage, we are reimagining mental health treatment offering talk therapy, medication management, and novel tools like ketamine therapy and Spravato.
Deep Vein Thrombosis Treatment in East Brunswick, NJ
Deep Vein Thrombosis Treatment in East Brunswick, NJVein & Vascular Medicine Clinic
油
Deep Vein Thrombosis (DVT) is a serious condition that often develops silently, especially after long periods of immobility. This blog explores the common symptomslike leg swelling, tenderness, and warmthand explains when to seek medical help to prevent life-threatening complications like pulmonary embolism. Learn how to recognize early warning signs and reduce your risk through simple lifestyle changes.
Public-Private Partnerships in Healthcare_ A Sustainable Model for African Na...
Public-Private Partnerships in Healthcare_ A Sustainable Model for African Na...oliverwanyama96
油
Across Africa, healthcare systems are under increasing pressure from rising populations, chronic underfunding, and infrastructure gaps that limit access to quality care. In response, Public-Private Partnerships (PPPs) are gaining momentum as a sustainable model to deliver healthcare infrastructure, services, and innovation.
Improving access to appropriately fitted equipment to support mothers express...
Improving access to appropriately fitted equipment to support mothers express...Health Innovation Wessex
油
The document outlines a project toolkit created by Health Innovation Wessex to improve access to properly fitted equipment for mothers expressing breast milk, aimed at promoting better health outcomes for premature infants. It includes two sections: the first discussing the project's background and evidence, while the second provides resources and training materials for implementation in healthcare settings. The initiative is based on research indicating that correctly sized flanges can enhance milk yield and reduce discomfort, ultimately supporting maternal and infant health.
The original toolkit was published in January 2025. Version 2, published June 2025, contains further information about flange sizing and kits available. Soft Tissue Injury/Handling in orthopedics.
Soft Tissue Injury/Handling in orthopedics.Dr. Prabhat Pandey
油
This presentation provides a comprehensive overview of soft tissue injuries commonly encountered in orthopedic practice. It covers the classification, pathophysiology, clinical features, diagnostic approaches, and evidence-based management strategies for various soft tissue injuries, including compartment syndrome, fracture blisters, open fracture, Morel-Lavall辿e lesion etc .The content is designed to support medical students, orthopedic trainees, physiotherapists, and healthcare professionals in understanding the mechanisms of injury, treatment principles such as RICE and the importance of prevention in clinical practice.
In orthopedic trauma care, soft tissue management is as vital as the management of the skeletal injury itself. Often overshadowed by the dramatic presentation of fractures, soft tissue injuries profoundly influence prognosis, healing capacity, and surgical decision-making. As eloquently expressed by Gathorne Girdlestone:
Fracture is an injury to soft tissues in which you shall also find a broken bone.
The vascular and biological integrity of the soft tissue envelope determines whether the fracture site heals naturally, requires surgical intervention, or develops complications like infection, non-union, or necrosis. This presentation explores not only the pathophysiology and classifications of soft tissue injuries but also offers a practical assessment and management framework for clinicians.
A fracture is not just a bony eventit almost always represents underlying soft tissue trauma. The "zone of injury" around any fracture must be respected. This area often contains:
Muscle necrosis
Damaged microvasculature
Hidden contamination
Partial tendon tears or ligamentous damage
Neglecting this can lead to:
Infection
Nonunion
Soft tissue contracture
Compartment syndrome
Understanding this biomechanical interplay is crucial for interpreting injury severity, estimating healing potential, and customizing treatment plans. High-energy trauma such as RTAs or gunshot wounds causes widespread damage beyond what is visible, including deep muscular necrosis and occult vascular compromise.
The bone cannot heal in isolation. As the presentation emphasizes, soft tissue is the biological foundation upon which successful orthopedic outcomes rest. Whether in a rural trauma setting or a tertiary care surgical suite, meticulous attention to soft tissue injury:
Improves healing timelines
Reduces complication rates
Enhances functional outcomes
Saves limbsand sometimes lives
Soft tissue status is often the limiting factor in fracture healing.
Proper classification guides decision-making and prognosis.
Compartment syndrome is a limb-threatening emergency; recognize early!
Open fractures require urgent debridement and stabilization.
Use objective tools (e.g., MESS, GHOIS) for complex limb injuries.
Never underestimate edema or fracture blistersthey signal deeper damage.
Soft tissue management is not ancillary; it is fundamental.Ayurveda: Ancient Wisdom for Modern Wellness
Ayurveda: Ancient Wisdom for Modern WellnessNutrazin
油
Discover how the 5,000-year-old science of Ayurveda offers practical, daily habits for maintaining holistic health in todays fast-paced world. This presentation explores the foundational principles of Ayurveda, including the three doshas, daily wellness routines (Dinacharya), seasonal practices (Ritucharya), and powerful natural remedies like herbal teas, adaptogens, and mindful breathing.
Whether you're a beginner or wellness enthusiast, learn how integrating simple Ayurvedic practices can enhance immunity, mental clarity, digestion, and emotional balance all without dependency on synthetic medications.Common Medical Billing Errors.pppptttttx
Common Medical Billing Errors.pppptttttxjohnbutlermbc
油
Explaining how Common Medical Billing Errors could be costing you revenue loss, and how Medical Billers and Coders can help you to reduce it.
"Why Am I Not Affected?" Understanding Emotional Detachment
"Why Am I Not Affected?" Understanding Emotional DetachmentRangen A. Ghafur
油
Not everyone cries after loss.
Some of us feel nothing.
This presentation explores why some people go numb, how it feels, and what it really means.
Based on science, reflection, and quiet truths we rarely say out loud.
If youve ever asked yourself, Why dont I feel like others do? this is for you.Errors that Could be Deemed Fraudulent in Ambulance Billing.pptx
Errors that Could be Deemed Fraudulent in Ambulance Billing.pptxjohnbutlermbc
油
Ambulance Billing could be replete with errors that could end up in being a fraudulent case. Know how to ensure correct billing.
Dengue Basic Information_Mitigation & Response_Dr. Pankaj Singh
Dengue Basic Information_Mitigation & Response_Dr. Pankaj Singhpanpunpra
油
Dengue Basic Information_Mitigation & Response_Dr. Pankaj SinghCongenital Vertical Talus: Clinical Presentation, Imaging, Etiology, and Mult...
Congenital Vertical Talus: Clinical Presentation, Imaging, Etiology, and Mult...Dr. Prabhat Pandey
油
Congenital Vertical Talus (CVT)also known as Congenital Convex Pes Valgus or Teratologic Dorsolateral Dislocation of the Talocalcaneonavicular Jointis a rare but significant pediatric foot deformity, characterized by a fixed dorsal dislocation of the talonavicular joint and rigid hindfoot equinus. This unique anatomical disruption gives rise to the hallmark "rocker-bottom" deformity, often evident at birth.
In this comprehensive presentation by Dr. Prabhat Pandey, DNB Orthopedics Resident at Tata Main Hospital, we explore every crucial aspect of Congenital Vertical Talusfrom its pathoanatomy and etiology to detailed clinical assessment and advanced management strategies. This 際際滷Share is tailored for orthopedic surgeons, pediatricians, medical students, and physiotherapists engaged in pediatric musculoskeletal care.
Congenital Vertical Talus is rare, rigid, and complex
Must distinguish from positional deformities like calcaneovalgus foot
Accurate radiographic analysis is essential for diagnosis
Reverse Ponseti casting can reduce need for extensive surgery
Surgical release is often definitive but must be timed and tailored
Multidisciplinary management is crucial in syndromic casesBurns types and its management .pptx
Burns types and its management .pptxRishika Rawat
油
Damage to the skin or deeper tissues caused by sun, hot liquids, fire, electricity or chemicals.
Most burns happen accidentally. The degree of severity of most burns is based on the size and depth of the burn. Electrical burns, however, are more difficult to diagnose because they're capable of causing significant injury beneath the skin without showing any signs of damage on the surface.Leading Mammography System Companies Revolutionizing Breast Cancer Detection ...
Leading Mammography System Companies Revolutionizing Breast Cancer Detection ...ganeshdukare428
油
Introduction
As the global healthcare community continues its fight against breast cancer, mammography systems remain one of the most essential diagnostic tools in early detection. In 2025 and beyond, major advances in digital imaging, artificial intelligence (AI), and patient-centric innovations are set to redefine how breast cancer is identified, monitored, and managed. Leading manufacturers in the mammography market are not only pushing the technological envelope but are also making significant strides in accessibility, accuracy, and efficiency. This article explores the top companies driving this transformation, their breakthrough innovations, and the emerging market landscape for mammography systems in the years ahead.
Newly-released Mammography market industry analysis report by Persistence Market Research shows that global sales of Mammography in 2024 were held at US$ 2,987.80 Million. With a CAGR of 9.9% from 2025 to 2032, the market is projected to reach a valuation of US$ 6,288.7 Million by 2032. Digital Systems are expected to be the highest revenue-generating product type, which is expected to grow at a CAGR of 9.9% from 2025 to 2032.
Trending-Now_-Ayurvedic-Bone-Regeneration-Therapies-for-AVN-_2025_.ppt
Trending-Now_-Ayurvedic-Bone-Regeneration-Therapies-for-AVN-_2025_.pptkhephioisols
油
Discover how Ayurvedic therapies in 2025 offer non-invasive, holistic solutions for avascular necrosis (AVN), promoting bone regeneration and improved mobilityImproving access to appropriately fitted equipment to support mothers express...
Improving access to appropriately fitted equipment to support mothers express...Health Innovation Wessex
油
Ad
Delivering on Responsible AI in Healthcare
- 1. Gregory S. Nelson University of Georgia PhD, ABD Social Psychology Duke University Fuqua School of Business, M.S., Clinical Informatics, Healthcare Analytics University of California, Santa Cruz B.A. Social Psychology, Quantitative Methods AVP Analytic Services: Intermountain Healthcare VP Analytics & Strategy: Vidant Health Adjunct Faculty: Duke University Author: The Analytics Lifecycle Toolkit Founder and CEO ThotWave Technologies
- 2. Delivering on the Promise of Responsible AI Seizing the Opportunities and Managing the Risks of Use of AI in Health IT An ONC Artificial Intelligence Showcase Greg Nelson FACHE, MMCi, CHCO, CPHIMS AVP, Analytics Services Intermountain Healthcare
- 3. Meet Shakira, Age 34 Shakira presents at an Urgent Care for skin concern Physician findings indicate possible melanoma Patient needs dermatology consult ASAP Physician fills out referral paper Paper gets lost Patient care delayed by several months Patient finally seen by a dermatologist and diagnosed with metastatic melanoma
- 4. Shakiras Referral Journey Map Journey mapping is the process of illustrating a complete story about the relationship and resulting experience that unfolds over time between an individual and a system, service, product, organization Sentiment Referral Specialist Choice Recommendation Importance Search Scheduling Insurance Path forward Email Care Pathway Communication Optimistic Puzzled Annoyed Forgetful Curiously obligated Irritated Satisfied Delighted Happy Exasperated Frustrated
- 5. AI-Enabled Process Sentiment Referral Specialist Choice Recommendation Importance Search Scheduling Insurance Path forward Email Care Pathway Communication Next Best Action Algorithm Patients-like me Recommender engine AI Enabled Patient Matching Virtual Assistant Virtual Assistant Follow up Pre-authorization/ payor confidence algorithm Care pathway lane departure warning eConsult Recommender
- 6. Generation next ought to be systems of intention, insight and cognition systems that know what we want, help us see what we otherwise wouldn't see and help us think. Cris Ross Mayo Clinic
- 7. ED Arrivals, Acuity,& Census Predictions LWBS Prediction ED Flow Optimization Inpatient Admission Prediction Short Stay Prediction Inpatient LOS Prediction Readmission Prediction ICU High Cost/LOS Prediction ICU Readmission Prediction Same Day Surgery Cancellation Prediction EOL Prediction Opportunity Landscape Pre-Diagnosis Acute Care Well-Care Prevention Chronic Care Palliative Care
- 8. What is true what would have to be true? Inspired by A Simple Nuance that Produces Great Strategy Discussions by Roger L. Martin
- 9. Responsible might mean different things Proven & Private Patient Fair & Ethical Community Trustworthy & Involved Provider Transparent & Validated Caregiver Responsible AI is a framework for deploying artificial intelligence in an ethical, equitable, and transparent way. Using AI responsibly is the act of making sure we always couple AI solutions with these key values in order to identify and avoid unintended consequences.
- 10. AI Playbook: Building Trust and AI Literacy
- 11. Our AI XLA Experience Level Agreement
- 12. How we are executing against that vision Community of Practice Validation & Monitoring Model Catalog & Monitor Vendor Accountability AI Literacy Bias Detection Toolkit Product Management
- 13. Strategic Development Engineering A. Intake B. Feasibility Analysis C. Model Development D. Pilot E. Deployment & Sustainment Perform Data Identification Problem Identification/Req uirement Identify Impact Cohort Method Proposal & Review: Adoption Potential Plausibility Is All Data in EDW? Design Data Inflow Process Review Existing Internal Solution Yes No Whats the impact if we take this action to the cohort? Industry & External Research Identify Actions Could Be Taken in Workflow Identify Enterprise Partnership Conduct Method Review Build Baseline Models and Select Model Identify Additional Research Needs & Weight Cost vs Added Benefit Perform Baseline Model Validation Evaluate Pilot KPIs Conduct Pilot Ethical AI & Bias Review (SA-ME) Design Experiment Conduct Pilot Analytics Benefit Review Perform Pilot Model Validation Deploy Model to Production Generate EDC Documents Integrate into Workflow Conduct Annual Analytics Benefit Review Evaluate Project & Team Fit Develop UX/UI Draft UX/UI Design Iterative Process Complete Ethical AI & Bias Model Review Draft Key Messaging and Communication Deploy Model into Test Environment Develop Test Environment for Workflow Integration Define Pilot KPIs Refine Baseline Model Data Science Workflow Version 0.1 Automate Annual Ethical AI & Bias Review Establish Feedback Loop Evaluate Workflow Integration Potential Automate Model Validation Conduct Annual Ethical AI & Bias Review (SA-ME) Conduct User Trainings Conduct User Interviews Monitor Key Metrics Complete ROI Assessment Determine Data Availability & Frequency Compare Initial Governance and Compliance Standard Perform Data Wrangling Draft Pilot Test Environment and Workflow Integration Plan Build MVP Propose ETL Process and Production Environment Evaluate Model Speed & Complexity Conduct Product Retirement Assessment F. Retirement Sunset Development Work Shut down Production Pipeline Archive Engineering Pipeline for Future Accessibility Document Product for Future Reference Complete Ethical Review intake form Sample Assessment (SA) and Equity Escalation (Compliance/Chief Equity officer) Model Evaluation (ME) and Equity Escalation
- 14. Vended Solutions Proven off-the-shelf solutions In-House Developed Improve our internal capabilities and agility Collaborations Build community relationships to accelerate learning Our Approach to Responsible AI 14