As the Age of Analytics emerges in healthcare, health system executives are increasingly challenged to define a data governance strategy that maximizes the value of data to the mission of their organizations.
Adding to that challenge, the competitive nature of the data warehouse and analytics market place has resulted in significant noise from vendors and consultants alike who promise to help health systems develop their data governance strategy. Having gone on his own turbulent data governance ride as a CIO in the US Air Force and healthcare, Dale Sanders, Senior Vice President at Health Catalyst will cut through the market noise to cover the following topics:
General concepts of data governance, regardless of industry
Unique aspects of data governance in healthcare
Data governance in a “Late Binding” data warehouse
The layers and roles in data governance
The four “Closed Loops” of healthcare analytics and data governance
The Philosophy, Psychology, and Technology of Data in HealthcareDale Sanders
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 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?
Healthcare Best Practices in Data Warehousing & AnalyticsDale Sanders
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.
Because everyone matters.
IBM Health and Social Programs Summit, October 2014
Stephen Morgan
Senior Vice President and Chief Medical Officer
Carilion Clinic
Jianying Hu
Research Staff Member and Manager of Healthcare Analytics Research
IBM
Paul Grundy
Global Director of Healthcare Transformation
IBM
Microsoft: A Waking Giant in Healthcare Analytics and Big DataDale Sanders
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.
As the Age of Analytics emerges in healthcare, health system executives are increasingly challenged to define a data governance strategy that maximizes the value of data to the mission of their organizations.
Adding to that challenge, the competitive nature of the data warehouse and analytics market place has resulted in significant noise from vendors and consultants alike who promise to help health systems develop their data governance strategy. Having gone on his own turbulent data governance ride as a CIO in the US Air Force and healthcare, Dale Sanders, Senior Vice President at Health Catalyst will cut through the market noise to cover the following topics:
General concepts of data governance, regardless of industry
Unique aspects of data governance in healthcare
Data governance in a “Late Binding” data warehouse
The layers and roles in data governance
The four “Closed Loops” of healthcare analytics and data governance
The Philosophy, Psychology, and Technology of Data in HealthcareDale Sanders
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 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?
Healthcare Best Practices in Data Warehousing & AnalyticsDale Sanders
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.
Because everyone matters.
IBM Health and Social Programs Summit, October 2014
Stephen Morgan
Senior Vice President and Chief Medical Officer
Carilion Clinic
Jianying Hu
Research Staff Member and Manager of Healthcare Analytics Research
IBM
Paul Grundy
Global Director of Healthcare Transformation
IBM
Microsoft: A Waking Giant in Healthcare Analytics and Big DataDale Sanders
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.
What the ONC's Proposed Rule on Information Blocking Means for Your WorkHealth Catalyst
Information blocking has been a hot-button issue for years as it has impeded innovation and patient healthcare options for too long. The 21st Century Cures Act (Cures Act) sought to eliminate these problems but information blocking persisted. However, in February 2019 the Office of the National Coordinator for Health Information Technology (ONC) announced a proposed rule with consequences to non-compliance with the Cures Act that may finally force true interoperability. As a healthcare decision maker you have a real opportunity to build an innovation strategy around these changes. To learn how, view this webinar.
True data interoperability enables innovation and better patient experience. In aggregate, both of these activities have the potential to accelerate the shift away from fee-for-service and towards fee-for-value healthcare. Dan Orenstein has spent much of his career providing legal counsel to healthcare organizations on regulatory and risk management issues as well as how to implement growth initiatives that comply with healthcare laws and regulations. That experience has made him an expert in applying policy to healthcare strategy. He has studied the proposed rule and in this webinar he will provide a summary of the existing legislation, implications of non-compliance with the proposed rule as well as insight into putting it into practice.
View this webinar and learn:
- To identify information blocking practices
- Seven exceptions to the information blocking provision and how they may apply to your work
- Summary of the public comments about the proposed rule and the overall perception of it in the industry
- The potential impact to your healthcare organization
A hybrid approach to data management is emerging in healthcare as organizations recognize the value of an enterprise data warehouse in combination with a data lake.
In this SlideShare, we discuss data lakes in healthcare and we:
Provide an overview of a Hadoop-based data lake architecture and integration platform, and its application in machine learning, predictive modeling, and data discovery
Discuss several key use cases driving the adoption of data lakes for both providers and health plans
Discuss available data storage forms and the required tools for a data lake environment
Detail best practices for conducting data lake assessments and review key implementation considerations for healthcare
20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...Health Catalyst
The enterprise data warehouse (EDW) at Intermountain Healthcare went live in 1998. The EDW at Northwestern Medicine went live in 2006. Dale Sanders was the chief architect and strategist for both. The business inspiration behind Health Catalyst was, in essence, to create the commercial availability of the technology, analytics, and data utilization skills associated with these systems at Intermountain and Northwestern. Lee Pierce assumed leadership of the Intermountain EDW in 2008. Andrew Winter assumed leadership of the Northwestern EDW in 2009, and transitioned leadership of the EDW to Shakeeb Akhter in 2016. This webinar is a fireside chat among friends and colleagues as they look back across their healthcare IT decisions to answer these questions:
What did we do right and what did we do wrong?
What advice do we have for others in this emerging era of Big Data?
What does the future of analytics and Big Data look like in healthcare?
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...Health Catalyst
Lessons learned over 20 years. This time we focus on technology lessons learned from experience at Intermountain Healthcare, Northwestern Medicine and Cayman Islands Health Authority
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
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.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Healthcare Analytics Careers: New Roles for the Brave, New World of Value-bas...Health Catalyst
Job titles can be leading indicators of the direction an industry is moving and the same holds true for healthcare. The new healthcare economic model—from fee-for-service (FFS) to value-based—is driving a change in roles and responsibilities for professionals seeking healthcare analytics careers. Motivated by CMS and commercial payers, healthcare organizations are realizing the need to find and hire new types of healthcare professionals, a Chief Population Health Officer or Vice President of Clinical Informatics, who are focused on value. Senior leaders are seeking to build teams that have the ability to bring together analytics, best-practice clinical content, and process improvement to create long-term, sustainable change across their healthcare systems.
Getting to the Wrong Answer Faster with Your Analytics: Shifting to a Better ...Health Catalyst
Wrong conclusions in your analytics can cause waste and disillusionment, not to mention suboptimal outcomes that may take months or even years to recover from. But analytic analysis isn’t about perfection—it’s about getting to the right answer by quickly getting to the wrong one.
In this interactive webinar, Jason Jones, chief data scientist at Health Catalyst, walks through scenarios that illustrate how commonly used analytic methods can lead analysts and leaders to the wrong conclusions, and shares how to course correct if this happens to you. In health and healthcare, leaders drive change by understanding and supporting better approaches, and analytics provide the best foundation for informed change management. Let’s work together to shift towards a better use of AI in healthcare.
View this webinar to learn:
- How analysis of the same data set can result in different conclusions.
- Tools and techniques to get your organization back on track after a misstep.
- Lessons from two case studies that will help you drive better analytics in your own organization.
By leveraging Big Data, the healthcare industry has an incredible potential to improve lives. This session will give examples of how data volume, velocity and variety is transforming the “art” of a doctor to the science of care. It will describe how the use of machine learning and massive amount of data will drive the new Consumer Drive healthcare movement.
This group paper, written as a graduate student at CMU, attempts to define and summarize the huge challenge ahead of North American healthcare providers by illuminating current and future trends of healthcare business intelligence (BI); ramifications of EMR; the pros and cons of BI and analytics; the myriad ethical and privacy issues of big data’s role (normally associated with market share and profits); and lastly provide an industry overview of BI and analytics solutions specific to healthcare.
To view the 30+ page paper for which this presentation summarizes, please contact James Young via LinkedIn: https://www.linkedin.com/in/jamesyoung007
A Reference Architecture for Digital Health: The Health Catalyst Data Operati...Health Catalyst
There are essentially four strategic options to address the enterprise data platform requirements of today’s healthcare systems: (1) build your own, (2) buy from EHR vendors, (3) look to a Silicon Valley high-tech startup, and (4) partner with Health Catalyst or a handful of similar companies.
In this webinar, Health Catalyst’s CTO, Dale Sanders, comments on all four approaches, hoping to help you to assess your organization’s strategy against the options and vendors in each category.
It’s been exactly three years since Health Catalyst embarked on a major investment in its next-generation technology, the Data Operating System (DOS™) and its applications. This webinar is an update on the progress, less about marketing the technology, but rather offering DOS as a reference architecture that can support analytics, AI, text processing, data-first application development, and interoperability, as an all-in-one agile cost-savings architecture.
In addition to the successes, Dale comments on the challenges that Health Catalyst has faced under a very ambitious DOS development plan. In its current state, DOS has made some significant improvements to overcome early mistakes, and is now a very solid enterprise data platform. In the interests of industry-wide learning, Sanders will talk transparently about those mistakes and how those learnings are being applied to the DOS platform, positioning it to evolve gracefully over the next 25 years.
View the webinar to learn how the DOS reference architecture:
- Helps manage the 2,000+ compulsory measures in US healthcare
- Enables applications as varied as a real-time patient safety surveillance system, and an activity-based costing system in one platform
- Can ingest data of any type or velocity from over 300 healthcare source systems and growing
- Bundles tools, applications, and analytics that would cost 3-6x more to build on your own
- Compares to EHR vendors as an option to serve as an enterprise data and analytics platform
- Is a performant, sustainable, and maintainable platform for deploying AI models in the natural flow of the healthcare data pipeline
- Provides curated data content and models while still allowing for the agility of a late binding design option
- Functions as a reference architecture that all healthcare organizations and vendors will ultimately have to build in their pursuit of digital health
The Data Operating System: Changing the Digital Trajectory of HealthcareDale Sanders
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 presentation is about basics of Big data Analytics along with Characteristics,Challenges,Structures,Differences between Traditional and Big data,How Big data is getting benefited in Healthcare Industry,Big data in Real time
Does it feel like you’re falling behind on the latest CMS regulatory updates? You’re not alone. The CareOptimize COVID-19 Insights webinar is designed to keep you informed of everything going on with CMS as healthcare practices continue to adjust. Along with CMS updates, this webinar goes over SBA loans and Fee-for-service Advance/Accelerated Medicare payments.
Gain insights from data analytics and take action! Learn why everyone is making a big deal about big data in healthcare and how data analytics creates action.
Managing National Health: An Overview of Metrics & OptionsDale Sanders
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.
Revenue opportunities in the management of healthcare data delugeShahid Shah
Healthcare data is hard to deal with and getting even harder and more expensive . In this presentation, Shahid Shah covers why:
* Healthcare data is going from hard to nearly impossible to manage.
* Applications come and go, data lives forever.
* Data integration is notoriously difficult, even in the best of circumstances, and requires sophisticated tools and attention to detail.
And, then talks about how new techniques are needed to store and manage healthcare data.
The Future of Data: High-Value Data is the Next Big ThingHealth Catalyst
The data today’s healthcare leaders need to drive decisions is locked away in siloed source systems. As a result, health systems must devote significant time and expense to access the information they need to empower decision makers.
In today’s rapidly changing healthcare environment, leaders need to make decisions in hours and days— not weeks and months. And too often the requisite data to drive fully informed decisions is unavailable or inaccurate. Meanwhile, over the past 18 months, COVID-19 has increased the urgency for high-value data in decision making. In this webinar, TJ Elbert, Senior Vice President and General Manager of Data, will outline Health Catalyst’s strategy to empower leaders with the trusted, timely, high-value data assets the need to drive decision making and maximize value.
You’ll Learn How to:
• Reduce data acquisition time and cost with DOS Marts™.
• Lower barriers to access through data integration and normalization.
• Create high-value, reusable data assets with Expert Data Collections™.
• Drive insights into clinical workflows and analytics applications through DOS™ data-sharing capabilities.
What the ONC's Proposed Rule on Information Blocking Means for Your WorkHealth Catalyst
Information blocking has been a hot-button issue for years as it has impeded innovation and patient healthcare options for too long. The 21st Century Cures Act (Cures Act) sought to eliminate these problems but information blocking persisted. However, in February 2019 the Office of the National Coordinator for Health Information Technology (ONC) announced a proposed rule with consequences to non-compliance with the Cures Act that may finally force true interoperability. As a healthcare decision maker you have a real opportunity to build an innovation strategy around these changes. To learn how, view this webinar.
True data interoperability enables innovation and better patient experience. In aggregate, both of these activities have the potential to accelerate the shift away from fee-for-service and towards fee-for-value healthcare. Dan Orenstein has spent much of his career providing legal counsel to healthcare organizations on regulatory and risk management issues as well as how to implement growth initiatives that comply with healthcare laws and regulations. That experience has made him an expert in applying policy to healthcare strategy. He has studied the proposed rule and in this webinar he will provide a summary of the existing legislation, implications of non-compliance with the proposed rule as well as insight into putting it into practice.
View this webinar and learn:
- To identify information blocking practices
- Seven exceptions to the information blocking provision and how they may apply to your work
- Summary of the public comments about the proposed rule and the overall perception of it in the industry
- The potential impact to your healthcare organization
A hybrid approach to data management is emerging in healthcare as organizations recognize the value of an enterprise data warehouse in combination with a data lake.
In this SlideShare, we discuss data lakes in healthcare and we:
Provide an overview of a Hadoop-based data lake architecture and integration platform, and its application in machine learning, predictive modeling, and data discovery
Discuss several key use cases driving the adoption of data lakes for both providers and health plans
Discuss available data storage forms and the required tools for a data lake environment
Detail best practices for conducting data lake assessments and review key implementation considerations for healthcare
20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...Health Catalyst
The enterprise data warehouse (EDW) at Intermountain Healthcare went live in 1998. The EDW at Northwestern Medicine went live in 2006. Dale Sanders was the chief architect and strategist for both. The business inspiration behind Health Catalyst was, in essence, to create the commercial availability of the technology, analytics, and data utilization skills associated with these systems at Intermountain and Northwestern. Lee Pierce assumed leadership of the Intermountain EDW in 2008. Andrew Winter assumed leadership of the Northwestern EDW in 2009, and transitioned leadership of the EDW to Shakeeb Akhter in 2016. This webinar is a fireside chat among friends and colleagues as they look back across their healthcare IT decisions to answer these questions:
What did we do right and what did we do wrong?
What advice do we have for others in this emerging era of Big Data?
What does the future of analytics and Big Data look like in healthcare?
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...Health Catalyst
Lessons learned over 20 years. This time we focus on technology lessons learned from experience at Intermountain Healthcare, Northwestern Medicine and Cayman Islands Health Authority
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
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.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Healthcare Analytics Careers: New Roles for the Brave, New World of Value-bas...Health Catalyst
Job titles can be leading indicators of the direction an industry is moving and the same holds true for healthcare. The new healthcare economic model—from fee-for-service (FFS) to value-based—is driving a change in roles and responsibilities for professionals seeking healthcare analytics careers. Motivated by CMS and commercial payers, healthcare organizations are realizing the need to find and hire new types of healthcare professionals, a Chief Population Health Officer or Vice President of Clinical Informatics, who are focused on value. Senior leaders are seeking to build teams that have the ability to bring together analytics, best-practice clinical content, and process improvement to create long-term, sustainable change across their healthcare systems.
Getting to the Wrong Answer Faster with Your Analytics: Shifting to a Better ...Health Catalyst
Wrong conclusions in your analytics can cause waste and disillusionment, not to mention suboptimal outcomes that may take months or even years to recover from. But analytic analysis isn’t about perfection—it’s about getting to the right answer by quickly getting to the wrong one.
In this interactive webinar, Jason Jones, chief data scientist at Health Catalyst, walks through scenarios that illustrate how commonly used analytic methods can lead analysts and leaders to the wrong conclusions, and shares how to course correct if this happens to you. In health and healthcare, leaders drive change by understanding and supporting better approaches, and analytics provide the best foundation for informed change management. Let’s work together to shift towards a better use of AI in healthcare.
View this webinar to learn:
- How analysis of the same data set can result in different conclusions.
- Tools and techniques to get your organization back on track after a misstep.
- Lessons from two case studies that will help you drive better analytics in your own organization.
By leveraging Big Data, the healthcare industry has an incredible potential to improve lives. This session will give examples of how data volume, velocity and variety is transforming the “art” of a doctor to the science of care. It will describe how the use of machine learning and massive amount of data will drive the new Consumer Drive healthcare movement.
This group paper, written as a graduate student at CMU, attempts to define and summarize the huge challenge ahead of North American healthcare providers by illuminating current and future trends of healthcare business intelligence (BI); ramifications of EMR; the pros and cons of BI and analytics; the myriad ethical and privacy issues of big data’s role (normally associated with market share and profits); and lastly provide an industry overview of BI and analytics solutions specific to healthcare.
To view the 30+ page paper for which this presentation summarizes, please contact James Young via LinkedIn: https://www.linkedin.com/in/jamesyoung007
A Reference Architecture for Digital Health: The Health Catalyst Data Operati...Health Catalyst
There are essentially four strategic options to address the enterprise data platform requirements of today’s healthcare systems: (1) build your own, (2) buy from EHR vendors, (3) look to a Silicon Valley high-tech startup, and (4) partner with Health Catalyst or a handful of similar companies.
In this webinar, Health Catalyst’s CTO, Dale Sanders, comments on all four approaches, hoping to help you to assess your organization’s strategy against the options and vendors in each category.
It’s been exactly three years since Health Catalyst embarked on a major investment in its next-generation technology, the Data Operating System (DOS™) and its applications. This webinar is an update on the progress, less about marketing the technology, but rather offering DOS as a reference architecture that can support analytics, AI, text processing, data-first application development, and interoperability, as an all-in-one agile cost-savings architecture.
In addition to the successes, Dale comments on the challenges that Health Catalyst has faced under a very ambitious DOS development plan. In its current state, DOS has made some significant improvements to overcome early mistakes, and is now a very solid enterprise data platform. In the interests of industry-wide learning, Sanders will talk transparently about those mistakes and how those learnings are being applied to the DOS platform, positioning it to evolve gracefully over the next 25 years.
View the webinar to learn how the DOS reference architecture:
- Helps manage the 2,000+ compulsory measures in US healthcare
- Enables applications as varied as a real-time patient safety surveillance system, and an activity-based costing system in one platform
- Can ingest data of any type or velocity from over 300 healthcare source systems and growing
- Bundles tools, applications, and analytics that would cost 3-6x more to build on your own
- Compares to EHR vendors as an option to serve as an enterprise data and analytics platform
- Is a performant, sustainable, and maintainable platform for deploying AI models in the natural flow of the healthcare data pipeline
- Provides curated data content and models while still allowing for the agility of a late binding design option
- Functions as a reference architecture that all healthcare organizations and vendors will ultimately have to build in their pursuit of digital health
The Data Operating System: Changing the Digital Trajectory of HealthcareDale Sanders
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 presentation is about basics of Big data Analytics along with Characteristics,Challenges,Structures,Differences between Traditional and Big data,How Big data is getting benefited in Healthcare Industry,Big data in Real time
Does it feel like you’re falling behind on the latest CMS regulatory updates? You’re not alone. The CareOptimize COVID-19 Insights webinar is designed to keep you informed of everything going on with CMS as healthcare practices continue to adjust. Along with CMS updates, this webinar goes over SBA loans and Fee-for-service Advance/Accelerated Medicare payments.
Gain insights from data analytics and take action! Learn why everyone is making a big deal about big data in healthcare and how data analytics creates action.
Managing National Health: An Overview of Metrics & OptionsDale Sanders
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.
Revenue opportunities in the management of healthcare data delugeShahid Shah
Healthcare data is hard to deal with and getting even harder and more expensive . In this presentation, Shahid Shah covers why:
* Healthcare data is going from hard to nearly impossible to manage.
* Applications come and go, data lives forever.
* Data integration is notoriously difficult, even in the best of circumstances, and requires sophisticated tools and attention to detail.
And, then talks about how new techniques are needed to store and manage healthcare data.
The Future of Data: High-Value Data is the Next Big ThingHealth Catalyst
The data today’s healthcare leaders need to drive decisions is locked away in siloed source systems. As a result, health systems must devote significant time and expense to access the information they need to empower decision makers.
In today’s rapidly changing healthcare environment, leaders need to make decisions in hours and days— not weeks and months. And too often the requisite data to drive fully informed decisions is unavailable or inaccurate. Meanwhile, over the past 18 months, COVID-19 has increased the urgency for high-value data in decision making. In this webinar, TJ Elbert, Senior Vice President and General Manager of Data, will outline Health Catalyst’s strategy to empower leaders with the trusted, timely, high-value data assets the need to drive decision making and maximize value.
You’ll Learn How to:
• Reduce data acquisition time and cost with DOS Marts™.
• Lower barriers to access through data integration and normalization.
• Create high-value, reusable data assets with Expert Data Collections™.
• Drive insights into clinical workflows and analytics applications through DOS™ data-sharing capabilities.
Relocating.com.au the Australian Relocation Directory is the easiest way to find all the service providers needed for domestic, corporate and international moving solutions.
Big data in the real world opportunities and challenges facing healthcare -...Leo Barella
The Healthcare system will be target of major disruption more than any other industry in the next 10 years.
The Digital economics and increasing demand by consumers for more real time information in order to make better decisions on who they want to "hire" to perform services for them or in their behalf will be the driver of this disruption. Analytics, Big Data and Machine Learning will lay the foundation for the next generation of healthcare yet there are still many challenges to truly revolutionize the healthcare system end to end (Providers, Pharma, Payers)
iHT2 Health IT Summit Boston 2013 – Scott Lundstrom, Group Vice President Presentation, IDC Health Insights "IT Strategies for an Uncertain Future - Embracing Change and Innovation"
Presentation "IT Strategies for an Uncertain Future - Embracing Change and Innovation"
The widespread changes demanded by reform continue to create angst and opportunities for healthcare providers. Quality, cost and compliance initiatives, changing business models, and new care delivery technologies are all demanding our attention. Uncertainty is high, but the call to action is strong, and there is tremendous pressure to show broadly based progress across the technology portfolio. How can IT and the business move forward on a common plan in these uncertain times? Leading organizations are already building a platform for the future. By focusing on reducing costs, improving quality, and supporting business innovation technology, significant progress can be made to support a broad range of possible post reform business models. By focusing on a core group of enabling technologies health organizations can become better prepared to survive in the post reform market. What are the core key enabling technologies required by any health organization in the future? Where should resource constrained organizations focus their attention?
In this presentation, I tried to succinctly discuss the future technology trends and explain how they can impact the healthcare industry. Also Business Transformation, as a key to tackle, has been discussed.
Modernizing Architecture for a Complete Data StrategyCloudera, Inc.
Data is the future of business. Either take advantage of it, or get surpassed by those who do.
In this webinar, Ovum's Tony Baer discusses the importance of building a modern data strategy that ensures your journey with Apache Hadoop and big data is a successful one. Together, we'll walk through how to build a plan for long-term success while realizing short-term gains, including:
How to pinpoint the business goals that matter most
How to assess your strengths and weaknesses to meet those goals
How to build a thoughtful approach that ensures your initiatives succeed
Healthcare software and SaaS companies continue to be in high demand as regulatory, technological and social influences drive significant change. From electronic health records to point-of-care solutions and now to m-health solutions, companies in this sector continue to receive significant interest from buyers. This Market Spotlight webcast, designed for owners, executives and investors in healthcare technology, will address attributes driving interest and valuations with perspectives from analysts, bankers, investors, and CEOs who have recently sold.
Disruptive Insurance Product Innovation Using IoT in HealthcareAmazon Web Services
Potential for consumer healthcare
1. No more non-value apps – consumers want insights
2. Lifestyle and Wellness platforms will win
3. Data INTENSITY = New OPPORTUNITY
4. Real Time is the NORM
5. Machines learn to IMPROVE our lives
Speakers:
Gaurav Sharma, Senior Industry Principal and Lead for Finacle on Cloud business, Infosys Finacle
&
Michael Braendle, Principal Cloud Architect, Professional Services, AWS
What is big data ? | Big Data ApplicationsShilpaKrishna6
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Managing The Risk of Open Payments - Validate Spend Report Before CMS Submissionqordata
This presentation is meant to help you understand how you, as a pharmaceutical company, can protect yourself from risks of audit and fines even before you submit your final report to CMS.
The top trends changing the landscape of Information ManagementVelrada
The role of information and data in the private sector, and how employees and users interact with that information, is changing rapidly.
With endless buzzwords and hot topics, and a ream of new technologies and upgrades, it can be difficult for organisations to know where to begin or how it translates into actionable insight.
Similar to Mobility Management in Healthcare: MDM, BYOD, mHealth (20)
Since the HITECH Act was passed in 2009, healthcare executives have felt the pressure to implement the electronic health record and achieve Meaningful Use status resulting in the flow of incentive dollars over the next five years.
Healthcare executives have felt the pressure to implement the EHR and achieve Meaningful Use Status.
In the rush to purchase and implement EHR solutions, executives are finding that the PMBOK and ITIL need to blend together in order to establish a reliable road-map to achieve and sustain the HITECH objectives.
Robust patient privacy and security protection are essential to build and maintain a necessary level of trust among patients, providers, health plans and other stakeholders.
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Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Dr. David Greene Arizona
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CRISPR-Cas9, a revolutionary gene-editing tool, holds immense potential to reshape medicine, agriculture, and our understanding of life. But like any powerful tool, it comes with ethical considerations.
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One of the most developed cities of India, the city of Chennai is the capital of Tamilnadu and many people from different parts of India come here to earn their bread and butter. Being a metropolitan, the city is filled with towering building and beaches but the sad part as with almost every Indian city
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
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Mobility Management in Healthcare: MDM, BYOD, mHealth
1. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015 DSScorp.com | DSSDataCenter.com Business Confidential
Mobility Management in Healthcare:
aka MDM,BYOD, mHealth
HDI Susquehanna Valley Chapter
Executive Forum
Holy Spirit Healthsystem
October 11, 2013
2. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015 DSScorp.com | DSSDataCenter.com Business Confidential
William “Buddy” Gillespie
Board Member and Chair Business, Health Outcomes & HIE
Committee, PAeHI
Director of HealthCare Solutions
Distributed Systems Services (DSS)
Former CIO-CTO WellSpan Health, Retired
wgillespie@dsscorp.com
3. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth Agenda
Landscape/Trends
Drivers
HIMSS Survey-Other
Gone Viral
Impact to Patient Care
Challenges
MDM Software
Best Practice
5. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
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Three Primary Components:
Use of a Certified EMR in a Meaningful Manner
Use of Certified EMR Technology for Electronic
Exchange of Health Information to Improve
Quality of Healthcare (HIE)
Use of Certified EMR Technology to Submit
Clinical Quality and Other Measures (Analytics)
What is Meaningful Use?
9. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
Click to edit Master title style
The Healthcare IT Landscape
HIMSS Survey
Drivers
10. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
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1. Performance Measurement
2. Population Health Management
3. ACOs and Care Coordination Tools
4. Care Management Transitions
5. Decision Support
6. Privacy and Security
7. Private vs. Public HIEs
8. Imaging
9. Mobile Health
10. Personalized Medicine
2013 Top 10 Trends in
Healthcare IT
12. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth – Goes Viral
Clinical Mobility Spreading
– New Devices, New Apps, Sprawling
– Basic Devices
– Mobile Medical Devices/FDA Approval
– Wide-Spread Adoption
– Impact Across Patient Care
• Nursing
• Homecare/Hospice
• Physicians
• Patients/Consumers
• LTC/Nursing Home
13. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth – Better Care
Clinical Mobility Spreading
– EMR data, images, order procedures,
prescribe meds
– Physician to Physician
– Remote Monitoring
– Collaborative/Coordinated Care
– Engage Patients-PHR
– Rural/Underserved Populations
14. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth – IT Impact
Slippery Slope/BYOD
High Security Risk
IT Struggles to Keep Pace
Increased Costs
16. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth – Challenges
Slippery Slope-BYOD
– Multiple OS
– No Downtime Acceptable
–Help Desk Overloaded
– Loss or Theft
– Breach of PHI
17. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth - Challenges
Management of Mobile Devices
– Increased Complexity
– Higher Risk(s) of PHI Breach
– Strain on IT Infrastructure and IT
Resources
18. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth - Challenges
Solution
– Develop and Implement a
comprehensive Mobility Management
Policy, Software and Procedures which
should address:
• Security
• Device
• Mobile Apps
• Policy
• Support
19. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
Mobile Device Management
“Enterprise mobile device management (MDM)
software is:
– (1) a policy and configuration management tool for mobile handheld
devices (smartphones and tablets based on smartphone OSs), and
– (2) an enterprise mobile solution for securing and enabling enterprise
users and content.
It helps enterprises manage the transition to a more complex mobile
computing and communications environment by supporting security,
network services, and software and hardware management across
multiple OS platforms and now sometimes laptop and ultra books.
This is especially important as bring your own device (BYOD)
initiatives and advanced wireless computing become the focus of
many enterprises. MDM can support corporate-owned as well as
personal devices, and helps support a more complex and
heterogeneous environment. “
Source: Gartner (May 2013)
20. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
Click to edit Master title styleGartner Healthcare Hype Cycle
M
D
M
BYOD
21. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
Mobile Device Management –
Software Market
Source: Gartner (May 2013)
22. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
Mobile Device Management –
Software Market
MDM Software Evaluation Criteria
– Ability to Execute
– Vision
– Technical
– Business
23. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
Mobility – Security Risk
81 percent of hospitals store PHI
on mobile devices:
– 50 percent have no MDM in place
Source: Ponemon Institute
24. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
Mobility – Security Risk
Encryption
Malware
Outside of Enterprise Control
Breach Outcome:
– Impact to Reputation
– Avg Cost $ 2 m per Breach
26. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth – IT Struggles
Impact to IT
– VDI
– Service Levels
– Increased Bandwidth
– Carrier Networks
• Higher Costs
• Reduced Security
27. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth – IT Cost
Increased Cost- per the Aberdeen
Research Group
– $ 170k per year for every 1k mobile devices
– Service Desk/Staff Time
– MDM Software
– Security Breach
– Programming Mobile Apps
28. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth – Best Practice
Strong and Enforceable Policy
– Security, Use, Support and Consequences
MDM Software
Customer Education
Ongoing Evaluation of Wireless Carriers
Allow for Expansion to Meet Demand
– Infrastructure
– Help Desk
Stay-Tuned to Trends in BYOD
Marketplace
29. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth – Industry Views
“Mobile devices not just for
Facebook, they are poised to
revolutionize healthcare”
-Steve Ranger, UK editor of TechRepublic
30. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
mHealth – Industry Views
“Research by analyst Ovum found that 17.6
percent of the employees it surveyed had
already been provided with a tablet by their
employer, up from 12.5 percent in 2012: but
of the respondents who owned a tablet
themselves, 66.7 percent used that device at
work.”
-Richard Absalom, analyst for consumer impact
technology at Ovum
32. DSScorp.com | DSSDataCenter.com Business ConfidentialAugust 16, 2015
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Thank youThank you
Healthcare Solutions & Overview
William “Buddy” Gillespie
www.dsscorp.com
wgillespie@dsscorp.com
Q & A and Discussion
