How COVID-19 Is Changing Digital Health

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In need of an update, existing healthcare infrastructure has been revamped during COVID-19, while telehealth has become a priority for many organizations.

Healthcare

The document discusses five steps to becoming a medical technician (med tech): 1. Start with education like a high school diploma or community college certificate program. 2. Explore the field through workplace tours to determine if it is a good fit. 3. Get formal medical training which is required to become a med tech. 4. Get certified by completing an approved training program and passing exams. 5. Start looking for jobs and build experience through volunteer work while gaining the required certification.

Health Equity and Mobile Health ClinicsTodd Berner MD

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Mobile health clinics have helped address healthcare access issues exacerbated by the COVID-19 pandemic by bringing care to underserved communities. The pandemic has overwhelmed brick-and-mortar clinics, so mobile clinics provide an alternative that allows for social distancing. They also help bridge existing disparities in access to care for populations struggling due to factors like distance from providers, financial constraints, housing instability, or immigration status. Mobile clinics aim to build trust by partnering with local organizations and providing culturally competent care, though implicit biases still present challenges to overcome.

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The Saints defeated the 49ers by maintaining a balanced offense with a nearly even run-pass split of 42-39, gaining 245 rushing yards and two touchdowns from Tim Hightower and Mark Ingram. Drew Brees passed for 323 yards and three touchdowns to ten receivers, complementing the effective running game. This balanced attack helped the Saints overcome the 49ers as they aim to continue their success this season.

Todd Berner: Assessment of Payer ACOs: Industry's RoleTodd Berner MD

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This document summarizes key points about payers' accountable care organizations (ACOs) and the industry's role in partnering with ACOs. It finds that ACOs with commercial contracts tend to be larger and more advanced. They have more experience with pay-for-performance initiatives and other reforms. The document also discusses various strategies for ACOs to better manage costs, such as considering drug acquisition costs, utilization management, and developing care coordination programs. It notes opportunities for specialty pharmaceutical companies to partner with ACOs in areas like managing high-cost conditions and supporting patient care.

How to design effective and efficient real world trials TB Evidence 2014 10.2...Todd Berner MD

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This document discusses strategies for designing effective and efficient real-world clinical trials. It covers topics such as using real-world evidence to inform clinical trial design, the differences between efficacy and effectiveness, challenges in defining quality metrics, and strategies for improving performance within healthcare systems. The document provides information on pragmatic clinical trials and how real-world evidence could reduce costs compared to traditional clinical trials.

Berner T Health Economics Research Collaborating with ACOs to Improve Patient...Todd Berner MD

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The document discusses collaborating with accountable care organizations (ACOs) to improve patient data. It notes that ACOs face challenges like implementing software, obtaining claims data, and translating data into actionable information. The typical ACO is risking $3.5 million and took out legal debt to finance their venture. Partnerships between providers and insurers are growing to better coordinate care and control costs through risk-based contracts and value-based relationships. Research collaborations can help ACOs understand factors influencing medication adherence and utilization to better manage patient populations.

Generating Quality Data through Collaborative Research with an ACOTodd Berner MD

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This document summarizes a presentation about generating quality data through collaborative research with an ACO. The number of public and private ACOs is growing rapidly, with over 250 CMS MSSP ACOs covering 4 million Medicare beneficiaries. The goal of the collaborative research is to disseminate valued information on effectiveness and costs of care to payers and policymakers. Real-world evidence studies can provide insights beyond randomized controlled trials by observing patient outcomes across delivery system models. Measuring quality requires considering multiple stakeholder perspectives to identify metrics that drive improvement and have utility.

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This retrospective study examined the clinical profiles and treatment patterns of nursing home residents (NHR) with overactive bladder (OAB) and/or urinary incontinence (UI), highlighting challenges in pharmacologic management. The findings indicated that a very small percentage of NHR were eligible for antimuscarinic therapy due to cognitive and mobility impairments, with only 6.6% meeting strict eligibility criteria. Additionally, the concurrent use of anticholinergic medications raises concerns about cognitive decline and functional impairment among these residents.

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This document summarizes Todd Berner's presentation on early dissemination of clinical data to support payer coverage decisions. The presentation discusses comparative effectiveness research standards and how cost, comparators, and ambiguous results should be handled. It also addresses tailoring drug development to patient heterogeneity and biomarkers. Developing an open dialogue with payers throughout drug development is emphasized to demonstrate clinical and economic value. Field teams can establish relationships, disseminate outcomes data, and conduct research to support products. The goal is for clinical programs to demonstrate value through meaningful endpoints and real-world evidence.

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The document discusses health economics research focused on Accountable Care Organizations (ACOs) and their challenges, including issues with implementation schedules, data management, and financial risks. It highlights various ACO experiences and provider-sponsored health plans, emphasizing the need for effective data utilization and improved care coordination. Additionally, it outlines several research projects aimed at addressing medication adherence and performance improvement within health systems.

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Artificial Intelligence and Mental Health is a pioneering exploration of how AI technologies can transform the mental health landscape. Written by Alishba, a verified young researcher and medical student, this book blends clinical insight, psychological understanding, and cutting-edge tech innovation to envision a future where machines don’t replace humans—but enhance healing. Through a thoughtful combination of case studies, research-backed analysis, and conceptual models, the book examines: The integration of AI in early mental health screening and diagnosis Ethical considerations and data privacy in AI-based therapy Chatbots and virtual reality in managing anxiety, depression, and trauma. The future of AI in destigmatizing mental illness globally This work stands as one of the first books authored by a 21-year-old Pakistani female medical student to deeply analyze the intersections of AI and mental health in a narrative format. It's written not only for clinicians and researchers, but also for students, innovators, and policy-makers aiming to bring equity, empathy, and technology together.

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