�ݺ�ߣshows by User: dalesanders1

�ݺ�ߣshows by User: dalesanders1 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: dalesanders1 / Wed, 11 Mar 2020 20:18:05 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: dalesanders1 The Philosophy, Psychology, and Technology of Data in Healthcare /slideshow/the-philosophy-psychology-and-technology-of-data-in-healthcare/230095265 northwesternnguestlecturefeb25-200311201805
Over-application of data and analytics in healthcare is alienating clinicians and, for the most part, not bending the cost-quality curves. This lecture spends 60% of the time on the softer issues, 40% on the technology.]]>
Over-application of data and analytics in healthcare is alienating clinicians and, for the most part, not bending the cost-quality curves. This lecture spends 60% of the time on the softer issues, 40% on the technology.]]> Wed, 11 Mar 2020 20:18:05 GMT /slideshow/the-philosophy-psychology-and-technology-of-data-in-healthcare/230095265 dalesanders1@slideshare.net(dalesanders1) The Philosophy, Psychology, and Technology of Data in Healthcare dalesanders1 Over-application of data and analytics in healthcare is alienating clinicians and, for the most part, not bending the cost-quality curves. This lecture spends 60% of the time on the softer issues, 40% on the technology. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/northwesternnguestlecturefeb25-200311201805-thumbnail.jpg?width=120&height=120&fit=bounds" /> Over-application of data and analytics in healthcare is alienating clinicians and, for the most part, not bending the cost-quality curves. This lecture spends 60% of the time on the softer issues, 40% on the technology.

The Philosophy, Psychology, and Technology of Data in Healthcare from Dale Sanders

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1 Healthcare Analytics Summit Keynote Fall 2017 /slideshow/healthcare-analytics-summit-keynote-fall-2017/84583780 sandershas2017keynotev7-171221003021
The Data Operating System. Changing the Digital Trajectory of Healthcare. Why do we need to change the current digital trajectory? What’s the business case for a Data Operating System? What is a Data Operating System and how did we get here? What difference will DOS make? What should we do with it and what should we expect? ]]>
The Data Operating System. Changing the Digital Trajectory of Healthcare. Why do we need to change the current digital trajectory? What’s the business case for a Data Operating System? What is a Data Operating System and how did we get here? What difference will DOS make? What should we do with it and what should we expect? ]]> Thu, 21 Dec 2017 00:30:21 GMT /slideshow/healthcare-analytics-summit-keynote-fall-2017/84583780 dalesanders1@slideshare.net(dalesanders1) Healthcare Analytics Summit Keynote Fall 2017 dalesanders1 The Data Operating System. Changing the Digital Trajectory of Healthcare. Why do we need to change the current digital trajectory? What’s the business case for a Data Operating System? What is a Data Operating System and how did we get here? What difference will DOS make? What should we do with it and what should we expect? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sandershas2017keynotev7-171221003021-thumbnail.jpg?width=120&height=120&fit=bounds" /> The Data Operating System. Changing the Digital Trajectory of Healthcare. Why do we need to change the current digital trajectory? What’s the business case for a Data Operating System? What is a Data Operating System and how did we get here? What difference will DOS make? What should we do with it and what should we expect?

Healthcare Analytics Summit Keynote Fall 2017 from Dale Sanders

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1 AMDIS CHIME Fall Symposium /slideshow/amdis-chime-fall-symposium/84583547 amdischimenov2016v7-171221002606
Why should we care about integrating data? What should we be trying to achieve? Population Health. The Softer, Human Side of Being “Data Driven” not “Driven By Data." The New Era of Decision Support in Healthcare. Top 10 Challenges To Integrating External Data.]]>
Why should we care about integrating data? What should we be trying to achieve? Population Health. The Softer, Human Side of Being “Data Driven” not “Driven By Data." The New Era of Decision Support in Healthcare. Top 10 Challenges To Integrating External Data.]]> Thu, 21 Dec 2017 00:26:05 GMT /slideshow/amdis-chime-fall-symposium/84583547 dalesanders1@slideshare.net(dalesanders1) AMDIS CHIME Fall Symposium dalesanders1 Why should we care about integrating data? What should we be trying to achieve? Population Health. The Softer, Human Side of Being “Data Driven” not “Driven By Data." The New Era of Decision Support in Healthcare. Top 10 Challenges To Integrating External Data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/amdischimenov2016v7-171221002606-thumbnail.jpg?width=120&height=120&fit=bounds" /> Why should we care about integrating data? What should we be trying to achieve? Population Health. The Softer, Human Side of Being “Data Driven” not “Driven By Data." The New Era of Decision Support in Healthcare. Top 10 Challenges To Integrating External Data.

AMDIS CHIME Fall Symposium from Dale Sanders

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1 The Data Operating System: Changing the Digital Trajectory of Healthcare /slideshow/the-data-operating-system-changing-the-digital-trajectory-of-healthcare-76782312/76782312 doswebinarmay2017v3-170608230917
This is the next evolution in health information exchanges and data warehouses, specifically designed to support analytics, transaction processing, and third party application development, in one platform, the Data Operating System.]]>
This is the next evolution in health information exchanges and data warehouses, specifically designed to support analytics, transaction processing, and third party application development, in one platform, the Data Operating System.]]> Thu, 08 Jun 2017 23:09:17 GMT /slideshow/the-data-operating-system-changing-the-digital-trajectory-of-healthcare-76782312/76782312 dalesanders1@slideshare.net(dalesanders1) The Data Operating System: Changing the Digital Trajectory of Healthcare dalesanders1 This is the next evolution in health information exchanges and data warehouses, specifically designed to support analytics, transaction processing, and third party application development, in one platform, the Data Operating System. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/doswebinarmay2017v3-170608230917-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is the next evolution in health information exchanges and data warehouses, specifically designed to support analytics, transaction processing, and third party application development, in one platform, the Data Operating System.

The Data Operating System: Changing the Digital Trajectory of Healthcare from Dale Sanders

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1 Healthcare Best Practices in Data Warehousing & Analytics /slideshow/healthcare-best-practices-in-data-warehousing-analytics/66305253 bibestpracticesportlanddama-160922142531
This is from a class lecture that I gave in 2005. Rather dated, but 95% of content is still very relevant today, which is a bit unfortunate. That's an indication of how little we've progressed in the healthcare domain.]]>
This is from a class lecture that I gave in 2005. Rather dated, but 95% of content is still very relevant today, which is a bit unfortunate. That's an indication of how little we've progressed in the healthcare domain.]]> Thu, 22 Sep 2016 14:25:31 GMT /slideshow/healthcare-best-practices-in-data-warehousing-analytics/66305253 dalesanders1@slideshare.net(dalesanders1) Healthcare Best Practices in Data Warehousing & Analytics dalesanders1 This is from a class lecture that I gave in 2005. Rather dated, but 95% of content is still very relevant today, which is a bit unfortunate. That's an indication of how little we've progressed in the healthcare domain. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bibestpracticesportlanddama-160922142531-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is from a class lecture that I gave in 2005. Rather dated, but 95% of content is still very relevant today, which is a bit unfortunate. That's an indication of how little we've progressed in the healthcare domain.

Healthcare Best Practices in Data Warehousing & Analytics from Dale Sanders

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1 Is Big Data a Big Deal... or Not? /slideshow/is-big-data-a-big-deal-or-not-58990797/58990797 v2healthcatalystwebinarbigdatafeb2016-160302221230
The term “Big Data” emerged from Silicon Valley in 2003 to describe the unprecedented volume and velocity of data that was being collected and analyzed by Yahoo, Google, eBay, and others. They had reached an affordability, scalability and performance ceiling with traditional relational database technology that required the development of a new solution, not being met by the relational data base vendors. Through the Apache Open Source consortium, Hadoop was that new solution. Since then, Hadoop has become the most powerful and popular technology platform for data analysis in the world. But, healthcare being the information technology culture that it is, Hadoop’s adoption in healthcare operations has been slow. In this webinar, Dale Sanders, Executive Vice President of Product Development will explore several questions: Why should healthcare leaders and executives care about this technology? What makes Hadoop so attractive and rapidly adopted in other industries but not in healthcare? Why is Big Data a bigger deal to them than healthcare? What do they see that we don’t and are we missing the IT boat again? How is the cloud reducing the barriers to adoption by commoditizing the skilled labor impact at the local healthcare organizational level?]]>
The term “Big Data” emerged from Silicon Valley in 2003 to describe the unprecedented volume and velocity of data that was being collected and analyzed by Yahoo, Google, eBay, and others. They had reached an affordability, scalability and performance ceiling with traditional relational database technology that required the development of a new solution, not being met by the relational data base vendors. Through the Apache Open Source consortium, Hadoop was that new solution. Since then, Hadoop has become the most powerful and popular technology platform for data analysis in the world. But, healthcare being the information technology culture that it is, Hadoop’s adoption in healthcare operations has been slow. In this webinar, Dale Sanders, Executive Vice President of Product Development will explore several questions: Why should healthcare leaders and executives care about this technology? What makes Hadoop so attractive and rapidly adopted in other industries but not in healthcare? Why is Big Data a bigger deal to them than healthcare? What do they see that we don’t and are we missing the IT boat again? How is the cloud reducing the barriers to adoption by commoditizing the skilled labor impact at the local healthcare organizational level?]]> Wed, 02 Mar 2016 22:12:30 GMT /slideshow/is-big-data-a-big-deal-or-not-58990797/58990797 dalesanders1@slideshare.net(dalesanders1) Is Big Data a Big Deal... or Not? dalesanders1 The term “Big Data” emerged from Silicon Valley in 2003 to describe the unprecedented volume and velocity of data that was being collected and analyzed by Yahoo, Google, eBay, and others. They had reached an affordability, scalability and performance ceiling with traditional relational database technology that required the development of a new solution, not being met by the relational data base vendors. Through the Apache Open Source consortium, Hadoop was that new solution. Since then, Hadoop has become the most powerful and popular technology platform for data analysis in the world. But, healthcare being the information technology culture that it is, Hadoop’s adoption in healthcare operations has been slow. In this webinar, Dale Sanders, Executive Vice President of Product Development will explore several questions: Why should healthcare leaders and executives care about this technology? What makes Hadoop so attractive and rapidly adopted in other industries but not in healthcare? Why is Big Data a bigger deal to them than healthcare? What do they see that we don’t and are we missing the IT boat again? How is the cloud reducing the barriers to adoption by commoditizing the skilled labor impact at the local healthcare organizational level? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/v2healthcatalystwebinarbigdatafeb2016-160302221230-thumbnail.jpg?width=120&height=120&fit=bounds" /> The term “Big Data” emerged from Silicon Valley in 2003 to describe the unprecedented volume and velocity of data that was being collected and analyzed by Yahoo, Google, eBay, and others. They had reached an affordability, scalability and performance ceiling with traditional relational database technology that required the development of a new solution, not being met by the relational data base vendors. Through the Apache Open Source consortium, Hadoop was that new solution. Since then, Hadoop has become the most powerful and popular technology platform for data analysis in the world. But, healthcare being the information technology culture that it is, Hadoop’s adoption in healthcare operations has been slow. In this webinar, Dale Sanders, Executive Vice President of Product Development will explore several questions: Why should healthcare leaders and executives care about this technology? What makes Hadoop so attractive and rapidly adopted in other industries but not in healthcare? Why is Big Data a bigger deal to them than healthcare? What do they see that we don’t and are we missing the IT boat again? How is the cloud reducing the barriers to adoption by commoditizing the skilled labor impact at the local healthcare organizational level?

Is Big Data a Big Deal... or Not? from Dale Sanders

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1 Microsoft: A Waking Giant in Healthcare Analytics and Big Data /slideshow/microsoft-the-waking-giant-in-healthcare-analytics-and-big-data/47340088 webinarmicrosoftwakinggiantapril2015-150423112710-conversion-gate01
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.]]>
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.]]> Thu, 23 Apr 2015 11:27:10 GMT /slideshow/microsoft-the-waking-giant-in-healthcare-analytics-and-big-data/47340088 dalesanders1@slideshare.net(dalesanders1) Microsoft: A Waking Giant in Healthcare Analytics and Big Data dalesanders1 Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webinarmicrosoftwakinggiantapril2015-150423112710-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.

Microsoft: A Waking Giant in Healthcare Analytics and Big Data from Dale Sanders

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1 Predicting the Future of Predictive Analytics in Healthcare /slideshow/predicting-the-future-of-predictive-analytics-in-healthcare/42936034 healthcatalystpredictiveanalyticswebinardec2014-141222085909-conversion-gate02
This is the latest version of a slide deck that discusses some of the less technical, but very important issues, related to the effective use of predictive analytics in healthcare.]]>
This is the latest version of a slide deck that discusses some of the less technical, but very important issues, related to the effective use of predictive analytics in healthcare.]]> Mon, 22 Dec 2014 08:59:09 GMT /slideshow/predicting-the-future-of-predictive-analytics-in-healthcare/42936034 dalesanders1@slideshare.net(dalesanders1) Predicting the Future of Predictive Analytics in Healthcare dalesanders1 This is the latest version of a slide deck that discusses some of the less technical, but very important issues, related to the effective use of predictive analytics in healthcare. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/healthcatalystpredictiveanalyticswebinardec2014-141222085909-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is the latest version of a slide deck that discusses some of the less technical, but very important issues, related to the effective use of predictive analytics in healthcare.

Predicting the Future of Predictive Analytics in Healthcare from Dale Sanders

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1 Precise Patient Registries for Clinical Research and Population Management /slideshow/disease20registries20webinar20-nov202014-tv2/41583923 disease20registries20webinar20nov202014tv-2-141114233701-conversion-gate02
Patient registries have evolved from external, mandatory reporting databases to playing a critical role in internal clinical research, clinical quality, cost reduction, and population health management. This slide deck describes how to design those precise registries.]]>
Patient registries have evolved from external, mandatory reporting databases to playing a critical role in internal clinical research, clinical quality, cost reduction, and population health management. This slide deck describes how to design those precise registries.]]> Fri, 14 Nov 2014 23:37:01 GMT /slideshow/disease20registries20webinar20-nov202014-tv2/41583923 dalesanders1@slideshare.net(dalesanders1) Precise Patient Registries for Clinical Research and Population Management dalesanders1 Patient registries have evolved from external, mandatory reporting databases to playing a critical role in internal clinical research, clinical quality, cost reduction, and population health management. This slide deck describes how to design those precise registries. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/disease20registries20webinar20nov202014tv-2-141114233701-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Patient registries have evolved from external, mandatory reporting databases to playing a critical role in internal clinical research, clinical quality, cost reduction, and population health management. This slide deck describes how to design those precise registries.

Precise Patient Registries for Clinical Research and Population Management from Dale Sanders

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1 Break All The Rules: What the Leading Health Systems Do Differently with Analytics and Data Warehousing /slideshow/break-all-the-rules-what-the/38369220 breakalltheruleswebinaraug2014final-140826084548-phpapp02
This was my attempt to capture the intangible differences between leaders and followers in data driven healthcare. It should be noted that the organizations listed are not necessarily Health Catalyst clients. This slide deck is not intended to market or advertise Health Catalyst, but rather highlight leadership in analytics, wherever it exists.]]>
This was my attempt to capture the intangible differences between leaders and followers in data driven healthcare. It should be noted that the organizations listed are not necessarily Health Catalyst clients. This slide deck is not intended to market or advertise Health Catalyst, but rather highlight leadership in analytics, wherever it exists.]]> Tue, 26 Aug 2014 08:45:48 GMT /slideshow/break-all-the-rules-what-the/38369220 dalesanders1@slideshare.net(dalesanders1) Break All The Rules: What the Leading Health Systems Do Differently with Analytics and Data Warehousing dalesanders1 This was my attempt to capture the intangible differences between leaders and followers in data driven healthcare. It should be noted that the organizations listed are not necessarily Health Catalyst clients. This slide deck is not intended to market or advertise Health Catalyst, but rather highlight leadership in analytics, wherever it exists. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/breakalltheruleswebinaraug2014final-140826084548-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> This was my attempt to capture the intangible differences between leaders and followers in data driven healthcare. It should be noted that the organizations listed are not necessarily Health Catalyst clients. This slide deck is not intended to market or advertise Health Catalyst, but rather highlight leadership in analytics, wherever it exists.

Break All The Rules: What the Leading Health Systems Do Differently with Analytics and Data Warehousing from Dale Sanders

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1 Healthcare Billing and Reimbursement: Starting from Scratch /slideshow/healthcare-billing-and-reimbursement-starting-from-scratch/38103304 healthcarebillingandreimbursementstartingfromscratchv4-140818134944-phpapp02
The healthcare billing environment in the US is a disaster. It creates huge waste in care and cost. As presented at the Cayman Islands International Healthcare Conference in October 2010, this slide deck suggests what the billing system might look like, if we could start over.]]>
The healthcare billing environment in the US is a disaster. It creates huge waste in care and cost. As presented at the Cayman Islands International Healthcare Conference in October 2010, this slide deck suggests what the billing system might look like, if we could start over.]]> Mon, 18 Aug 2014 13:49:44 GMT /slideshow/healthcare-billing-and-reimbursement-starting-from-scratch/38103304 dalesanders1@slideshare.net(dalesanders1) Healthcare Billing and Reimbursement: Starting from Scratch dalesanders1 The healthcare billing environment in the US is a disaster. It creates huge waste in care and cost. As presented at the Cayman Islands International Healthcare Conference in October 2010, this slide deck suggests what the billing system might look like, if we could start over. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/healthcarebillingandreimbursementstartingfromscratchv4-140818134944-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> The healthcare billing environment in the US is a disaster. It creates huge waste in care and cost. As presented at the Cayman Islands International Healthcare Conference in October 2010, this slide deck suggests what the billing system might look like, if we could start over.

Healthcare Billing and Reimbursement: Starting from Scratch from Dale Sanders

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1 The 12 Criteria of Population Health Management /slideshow/the-12-criteria-of-population-health-data-management/33057024 sanderspopulationhealthmanagementapril2014-140402181346-phpapp01
]]>
]]> Wed, 02 Apr 2014 18:13:46 GMT /slideshow/the-12-criteria-of-population-health-data-management/33057024 dalesanders1@slideshare.net(dalesanders1) The 12 Criteria of Population Health Management dalesanders1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sanderspopulationhealthmanagementapril2014-140402181346-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

The 12 Criteria of Population Health Management from Dale Sanders

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1 Population Health Management /slideshow/population-health-management-slide/31520451 populationhealthmanagementslide-140222141935-phpapp02
A one-slide checklist for evaluating vendors and developing a 3-5 year roadmap on the journey to Population Health Management]]>
A one-slide checklist for evaluating vendors and developing a 3-5 year roadmap on the journey to Population Health Management]]> Sat, 22 Feb 2014 14:19:35 GMT /slideshow/population-health-management-slide/31520451 dalesanders1@slideshare.net(dalesanders1) Population Health Management dalesanders1 A one-slide checklist for evaluating vendors and developing a 3-5 year roadmap on the journey to Population Health Management <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/populationhealthmanagementslide-140222141935-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> A one-slide checklist for evaluating vendors and developing a 3-5 year roadmap on the journey to Population Health Management

Population Health Management from Dale Sanders

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1 Healthcare 2.0: The Age of Analytics /slideshow/healthcare-20-the-age-of-analytics/25645796 modernhealthcareageofanalyticsaug2013v1-130827111416-phpapp01
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]]> Tue, 27 Aug 2013 11:14:16 GMT /slideshow/healthcare-20-the-age-of-analytics/25645796 dalesanders1@slideshare.net(dalesanders1) Healthcare 2.0: The Age of Analytics dalesanders1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/modernhealthcareageofanalyticsaug2013v1-130827111416-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Healthcare 2.0: The Age of Analytics from Dale Sanders

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1 Managing National Health: An Overview of Metrics & Options /slideshow/managing-national-health-strategy-metrics/24317533 nationalhealthstrategymetrics-130716195652-phpapp02
This is a presentation that I gave at the annual international healthcare conference hosted by the Cayman Islands government. It summarizes the international standards and frameworks for planning and managing the health of a nation. One of the most fun parts of a very fun career was the time that I spent working and living in the Cayman Islands and serving as the CIO of the national health system. The Cayman Islands national health system sat at the intersection of three very influential healthcare ecosystems-- the United States, United Kingdom, and the Pan-American Healthcare Organization. As a result, I was fortunate enough to learn from these international settings and contrast that to the US healthcare system. Other healthcare systems tend to benchmark themselves internationally more so than the United States, where we tend to benchmark ourselves internally. Unfortunately, those internal US benchmarks are the lowest in the developed world by almost every measure of national health. ]]>
This is a presentation that I gave at the annual international healthcare conference hosted by the Cayman Islands government. It summarizes the international standards and frameworks for planning and managing the health of a nation. One of the most fun parts of a very fun career was the time that I spent working and living in the Cayman Islands and serving as the CIO of the national health system. The Cayman Islands national health system sat at the intersection of three very influential healthcare ecosystems-- the United States, United Kingdom, and the Pan-American Healthcare Organization. As a result, I was fortunate enough to learn from these international settings and contrast that to the US healthcare system. Other healthcare systems tend to benchmark themselves internationally more so than the United States, where we tend to benchmark ourselves internally. Unfortunately, those internal US benchmarks are the lowest in the developed world by almost every measure of national health. ]]> Tue, 16 Jul 2013 19:56:52 GMT /slideshow/managing-national-health-strategy-metrics/24317533 dalesanders1@slideshare.net(dalesanders1) Managing National Health: An Overview of Metrics & Options dalesanders1 This is a presentation that I gave at the annual international healthcare conference hosted by the Cayman Islands government. It summarizes the international standards and frameworks for planning and managing the health of a nation. One of the most fun parts of a very fun career was the time that I spent working and living in the Cayman Islands and serving as the CIO of the national health system. The Cayman Islands national health system sat at the intersection of three very influential healthcare ecosystems-- the United States, United Kingdom, and the Pan-American Healthcare Organization. As a result, I was fortunate enough to learn from these international settings and contrast that to the US healthcare system. Other healthcare systems tend to benchmark themselves internationally more so than the United States, where we tend to benchmark ourselves internally. Unfortunately, those internal US benchmarks are the lowest in the developed world by almost every measure of national health. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nationalhealthstrategymetrics-130716195652-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is a presentation that I gave at the annual international healthcare conference hosted by the Cayman Islands government. It summarizes the international standards and frameworks for planning and managing the health of a nation. One of the most fun parts of a very fun career was the time that I spent working and living in the Cayman Islands and serving as the CIO of the national health system. The Cayman Islands national health system sat at the intersection of three very influential healthcare ecosystems-- the United States, United Kingdom, and the Pan-American Healthcare Organization. As a result, I was fortunate enough to learn from these international settings and contrast that to the US healthcare system. Other healthcare systems tend to benchmark themselves internationally more so than the United States, where we tend to benchmark ourselves internally. Unfortunately, those internal US benchmarks are the lowest in the developed world by almost every measure of national health.

Managing National Health: An Overview of Metrics & Options from Dale Sanders

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1 Healthcare Analytics Market Categorization /slideshow/healthcare-analytics-market-categorization/24259575 healthcareanalyticsmarketcategorization-130715130306-phpapp01
This is another perspective on the categorization of options and vendors in this very complicated, fluid space.]]>
This is another perspective on the categorization of options and vendors in this very complicated, fluid space.]]> Mon, 15 Jul 2013 13:03:06 GMT /slideshow/healthcare-analytics-market-categorization/24259575 dalesanders1@slideshare.net(dalesanders1) Healthcare Analytics Market Categorization dalesanders1 This is another perspective on the categorization of options and vendors in this very complicated, fluid space. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/healthcareanalyticsmarketcategorization-130715130306-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is another perspective on the categorization of options and vendors in this very complicated, fluid space.

Healthcare Analytics Market Categorization from Dale Sanders

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1 Strategic Options for Analytics in Healthcare /slideshow/strategic-analytic-options/23579453 strategicanalyticoptions-130627103854-phpapp01
There are essentially four analytic strategies available in the healthcare IT market at present. This slide summarizes those options, the pros and cons, and vendors in the space. ]]>
There are essentially four analytic strategies available in the healthcare IT market at present. This slide summarizes those options, the pros and cons, and vendors in the space. ]]> Thu, 27 Jun 2013 10:38:54 GMT /slideshow/strategic-analytic-options/23579453 dalesanders1@slideshare.net(dalesanders1) Strategic Options for Analytics in Healthcare dalesanders1 There are essentially four analytic strategies available in the healthcare IT market at present. This slide summarizes those options, the pros and cons, and vendors in the space. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/strategicanalyticoptions-130627103854-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> There are essentially four analytic strategies available in the healthcare IT market at present. This slide summarizes those options, the pros and cons, and vendors in the space.

Strategic Options for Analytics in Healthcare from Dale Sanders

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1 Late Binding in Data Warehouses /slideshow/just-in-time-binding-no-brand/16958873 justintimebindingnobrand-130305175310-phpapp02
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]]> Tue, 05 Mar 2013 17:53:10 GMT /slideshow/just-in-time-binding-no-brand/16958873 dalesanders1@slideshare.net(dalesanders1) Late Binding in Data Warehouses dalesanders1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/justintimebindingnobrand-130305175310-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Late Binding in Data Warehouses from Dale Sanders

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1 Choosing an Analytics Solution in Healthcare /slideshow/choosing-an-analytics-solution-in-healthcare/16954916 choosingananalyticssolution-130305132242-phpapp02
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]]> Tue, 05 Mar 2013 13:22:42 GMT /slideshow/choosing-an-analytics-solution-in-healthcare/16954916 dalesanders1@slideshare.net(dalesanders1) Choosing an Analytics Solution in Healthcare dalesanders1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/choosingananalyticssolution-130305132242-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Choosing an Analytics Solution in Healthcare from Dale Sanders

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1 An Overview of Disease Registries /slideshow/disease-registries-final-ugm-2007-1/16682811 diseaseregistriesfinalugm2007-1-130221192419-phpapp02
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]]> Thu, 21 Feb 2013 19:24:19 GMT /slideshow/disease-registries-final-ugm-2007-1/16682811 dalesanders1@slideshare.net(dalesanders1) An Overview of Disease Registries dalesanders1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/diseaseregistriesfinalugm2007-1-130221192419-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

An Overview of Disease Registries from Dale Sanders

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1 https://cdn.slidesharecdn.com/profile-photo-dalesanders1-48x48.jpg?cb=1706125190 www.healthcatalyst.com https://cdn.slidesharecdn.com/ss_thumbnails/northwesternnguestlecturefeb25-200311201805-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-philosophy-psychology-and-technology-of-data-in-healthcare/230095265 The Philosophy, Psycho... https://cdn.slidesharecdn.com/ss_thumbnails/sandershas2017keynotev7-171221003021-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/healthcare-analytics-summit-keynote-fall-2017/84583780 Healthcare Analytics S... https://cdn.slidesharecdn.com/ss_thumbnails/amdischimenov2016v7-171221002606-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/amdis-chime-fall-symposium/84583547 AMDIS CHIME Fall Sympo...