This document summarizes a webinar on achieving lower costs and greater usability through tailored software platforms for healthcare organizations. The webinar addressed the problems of overloaded niche systems, advocated for a "buy and build" approach using a flexible architecture. Speakers discussed their experiences with both building custom software and using off-the-shelf systems. They emphasized testing vendors' claims about system capabilities and establishing open communication during interactive development and deployment processes to ensure projects meet organizations' needs.
Healthcare Payers are increasingly looking for advanced solutions to lower overall healthcare cost and provide a better patient experience. A payer that puts the customer at the center requires seamless integration across communication channels and functions, and a holistic view of the enterprise.
The Data Maze: Navigating the Complexities of Data GovernanceHealth Catalyst
Most organizations struggle to turn their data into a strategic asset. Oftentimes they lack the data they need, and don’t trust the data they have. This results in a struggle to surface meaningful opportunities, quantify the value of those opportunities, and transform insight into action. In this webinar, your host Tom Burton shares strategies for improving data literacy, ensuring data quality, and expanding data utilization.
This interactive, “choose your own adventure” style experience, allowed attendees to discover how investing in a deliberate, principle-based strategy can help them navigate the complexities of data governance and maximize the value of data for outcomes improvement.
View the webinar and learn:
- Demonstrate how to unleash data at your organization with efforts across the improvement spectrum.
- Recognize how to sustain and spread improvements across your entire organization.
- Illustrate the importance of investing in analytics training and infrastructure to prepare for massive improvement in healthcare outcomes.
- Understand the 5 key stages of the Data Life Cycle.
- Demonstrate strategies to overcome the common challenges around data quality, data utilization, and data literacy.
- Show how a data governance framework can accelerate improvement in clinical, cost, and experience outcomes.
Why Healthcare Costing Matters to Enable Strategy and Financial PerformanceHealth Catalyst
According to Moody’s Investment Service Analysis, not-for-profit hospital margins are at an all-time low of 1.6% while the American Hospital Association has found that 30% of all hospitals have negative margins. Financial pressures are continuing to increase in an environment of rising costs, lower payments, an aging population, higher patient responsibility and changing consumer demands. Now more than ever healthcare providers need to have an accurate picture of their costing information to enable precise, strategic decisions that will improve financial performance.
Activity-based costing has the power to do just that. In this webinar Steve Vance, SVP, Professional Services, Health Catalyst explores different costing methodologies and discusses why activity-based costing is the preferable method to manage margins because it directly ties services to their costs. Many healthcare organizations base their costs on generalized drivers such as relative value units (RVUs) through their chargemaster rather than on specific activities associated with their services, leading to inaccurate assumptions and poor decisions.
View this webinar to learn:
- Why activity-based costing should be your core tool for improving financial performance.
- The differences and implications between costing methodologies.
- How to leverage data from an Electronic Data Warehouse (EDW) and automate processes while improving accuracy.
- Ways that you can make strategic decisions using clinical and operational data when tied to costing data.
- Activity-based costing use cases such as contract negotiations, pricing decisions, population health management (PHM), and process improvement efforts
We hope that you will view the webinar and learn from the depth and breadth of Steve’s extensive financial experience.
Why a Build-Your-Own Healthcare Data Platform Will Fall Short and What to Do ...Health Catalyst
Health system may have some compelling reasons for choosing to build a data platform versus partner with a healthcare analytics vendor on a commercial solution. However, while organizations may think they’re saving money, gaining control and security, and more by opting for a homegrown approach, they’ll more than likely encounter challenges, hidden costs, and limitations. In comparison to a commercial-grade, healthcare-specific platform from a vendor, build-your-own solutions fall short when it comes to domain-specific content, technical expertise, total cost of ownership, and more. Organizations that partner on a vended platform vastly improve their chances of optimizing and scaling their analytic investment over time and achieving measurable improvement.
Platforms and Partnerships: The Building Blocks for Digital InnovationHealth Catalyst
Virtually all service-oriented industries have experienced massive disruption and transformation, resulting from the confluence of digital, mobile, cloud, data, and consumerization. And then there’s healthcare…
In this webinar Ryan Smith, executive advisor at Health Catalyst, shares practical insights gained from his combined 25 years of IT and digital leadership roles at Banner Health and Intermountain Healthcare. He explores why our industry is struggling to provide the tools and self-service experiences that patients and consumers have come to expect in every other aspect of their lives. To attract and retain patients and members, healthcare organizations need to “shift gears” and go on the digital offensive to sustain brand loyalty; however, decades of siloed, monolithic approaches to implementing technology and managing data continue to hamper industry progress.
During this session, Ryan shares his approach for building business support to enable digital transformation.
By viewing this webinar, you will learn key digitization concepts:
- How to conceptualize a digital enablement framework.
- Ten strategic guiding principles for technology leaders.
- Why it’s vital to create business-driven technology governance.
- Why building strategic vendor partnerships really matters.
- How to apply case studies to bolster digital investments.
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
Healthcare Payers are increasingly looking for advanced solutions to lower overall healthcare cost and provide a better patient experience. A payer that puts the customer at the center requires seamless integration across communication channels and functions, and a holistic view of the enterprise.
The Data Maze: Navigating the Complexities of Data GovernanceHealth Catalyst
Most organizations struggle to turn their data into a strategic asset. Oftentimes they lack the data they need, and don’t trust the data they have. This results in a struggle to surface meaningful opportunities, quantify the value of those opportunities, and transform insight into action. In this webinar, your host Tom Burton shares strategies for improving data literacy, ensuring data quality, and expanding data utilization.
This interactive, “choose your own adventure” style experience, allowed attendees to discover how investing in a deliberate, principle-based strategy can help them navigate the complexities of data governance and maximize the value of data for outcomes improvement.
View the webinar and learn:
- Demonstrate how to unleash data at your organization with efforts across the improvement spectrum.
- Recognize how to sustain and spread improvements across your entire organization.
- Illustrate the importance of investing in analytics training and infrastructure to prepare for massive improvement in healthcare outcomes.
- Understand the 5 key stages of the Data Life Cycle.
- Demonstrate strategies to overcome the common challenges around data quality, data utilization, and data literacy.
- Show how a data governance framework can accelerate improvement in clinical, cost, and experience outcomes.
Why Healthcare Costing Matters to Enable Strategy and Financial PerformanceHealth Catalyst
According to Moody’s Investment Service Analysis, not-for-profit hospital margins are at an all-time low of 1.6% while the American Hospital Association has found that 30% of all hospitals have negative margins. Financial pressures are continuing to increase in an environment of rising costs, lower payments, an aging population, higher patient responsibility and changing consumer demands. Now more than ever healthcare providers need to have an accurate picture of their costing information to enable precise, strategic decisions that will improve financial performance.
Activity-based costing has the power to do just that. In this webinar Steve Vance, SVP, Professional Services, Health Catalyst explores different costing methodologies and discusses why activity-based costing is the preferable method to manage margins because it directly ties services to their costs. Many healthcare organizations base their costs on generalized drivers such as relative value units (RVUs) through their chargemaster rather than on specific activities associated with their services, leading to inaccurate assumptions and poor decisions.
View this webinar to learn:
- Why activity-based costing should be your core tool for improving financial performance.
- The differences and implications between costing methodologies.
- How to leverage data from an Electronic Data Warehouse (EDW) and automate processes while improving accuracy.
- Ways that you can make strategic decisions using clinical and operational data when tied to costing data.
- Activity-based costing use cases such as contract negotiations, pricing decisions, population health management (PHM), and process improvement efforts
We hope that you will view the webinar and learn from the depth and breadth of Steve’s extensive financial experience.
Why a Build-Your-Own Healthcare Data Platform Will Fall Short and What to Do ...Health Catalyst
Health system may have some compelling reasons for choosing to build a data platform versus partner with a healthcare analytics vendor on a commercial solution. However, while organizations may think they’re saving money, gaining control and security, and more by opting for a homegrown approach, they’ll more than likely encounter challenges, hidden costs, and limitations. In comparison to a commercial-grade, healthcare-specific platform from a vendor, build-your-own solutions fall short when it comes to domain-specific content, technical expertise, total cost of ownership, and more. Organizations that partner on a vended platform vastly improve their chances of optimizing and scaling their analytic investment over time and achieving measurable improvement.
Platforms and Partnerships: The Building Blocks for Digital InnovationHealth Catalyst
Virtually all service-oriented industries have experienced massive disruption and transformation, resulting from the confluence of digital, mobile, cloud, data, and consumerization. And then there’s healthcare…
In this webinar Ryan Smith, executive advisor at Health Catalyst, shares practical insights gained from his combined 25 years of IT and digital leadership roles at Banner Health and Intermountain Healthcare. He explores why our industry is struggling to provide the tools and self-service experiences that patients and consumers have come to expect in every other aspect of their lives. To attract and retain patients and members, healthcare organizations need to “shift gears” and go on the digital offensive to sustain brand loyalty; however, decades of siloed, monolithic approaches to implementing technology and managing data continue to hamper industry progress.
During this session, Ryan shares his approach for building business support to enable digital transformation.
By viewing this webinar, you will learn key digitization concepts:
- How to conceptualize a digital enablement framework.
- Ten strategic guiding principles for technology leaders.
- Why it’s vital to create business-driven technology governance.
- Why building strategic vendor partnerships really matters.
- How to apply case studies to bolster digital investments.
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
How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...Health Catalyst
At a time when average hospital’s margins are stagnating, executives should be asking tough questions about the ROI of “indispensable” technologies. Will new technologies prove their worth or drive them further into the red? How do you measure and track ROI?
Clinicians need more education on financial metrics and finance people need to learn more about the clinical processes and outcomes. One of the historical problems with calculating ROI has been the fundamental culture divide between clinicians and finance.
This slide set gives some practical tools, templates (Excel), and how tos based on years of experience to quickly and effectively develop the ability to measure and communicate ROI on healthcare IT and improvement projects.
The Foundations of Success in Population Health ManagementHealth Catalyst
From hospital systems to large employers, organizations are increasingly taking on financial risk for the health of populations. Drivers of this trend include the update to the MSSP model, the recent CMS Primary Cares Initiative announcement, the increasing prevalence of the Medicare Advantage model, innovative partnerships in the self-insured employer space, and the proliferation of Medicaid ACOs. Yet while market pressures push organizations toward population risk, they don't necessarily help them succeed: most organizations are struggling to attain or sustain the dual imperatives of high-quality care and cost containment. A primary reason? Short-sighted and tactical approaches that don't provide the flexible data infrastructure and tools to adapt to emerging trends in population health—or to support short-term contractual requirements while building toward long-term success.
View this launch webinar to learn about Health Catalyst’s Population Health Foundations solution, a data and analytics-first starter set aimed at optimizing performance in value-based risk arrangements and providing the data ecosystem that will flex and adapt to complex needs of risk-bearing organizations. Solution services ensure that the strategic value of data is maximized to improve performance in risk contracts—and provide side-by-side subject matter expert partnership for establishing short- and long-term goals for population health management (PHM).
Built on Health Catalyst’s foundational technology and supported by the nationwide experience and perspective of its experts, the Population Health Foundations solution helps organizations leverage multiple data sources to understand their patient populations and create meaningful views of financial and clinical quality performance. As a starter set that organizations can build on based on their needs, the solution is designed to compensate for the known limitations of “black box” population health applications that fail to reveal the “why” of analytic insights and exacerbate the challenges of transforming quality, cost, and care. The Population Health Foundations solution delivers the essential analytic tools needed for success under value-based risk arrangements.
In these slides you can expect to:
- Review recent changes to the field of value-based care, and reactions and insights from the market
- Discover how the Population Health Foundations solution can act as a comprehensive, data-first analytics solution to support your population stratification and monitoring needs
- Understand how this solution functions as a foundational starter set for value-based care success, enabling clients to leverage all their data and other relevant population health tools
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
Growing amounts of data can be overwhelming for healthcare entities to organize, manage, and distribute effectively, sometimes making data more of a burden than a benefit. However, if organizations adopt the right data mentality, they can gain insight into performance, track an intervention’s success, and improve outcomes. According to data experts, Bryan Hinton, our Chief Technology officer, and TJ Elbert, our SVP and General Manager of Data, organizations can apply five mindset changes to avoid data overload and achieve data-driven improvement:
1. Focus on data orchestration, not data computing.
2. Leverage real-time data, especially in a pandemic.
3. Prioritize data democratization over data control.
4. Use AI, if you’re not already.
5. Change current care models to fit the data.
Why Payers, Providers and Life Science/Pharma Must Join Forces to Achieve Tru...Health Catalyst
Is value-based care (VBC) the path to reducing the 18% of GDP that is spent on healthcare? It just may be, but all parties must play their part. Iya Khalil, chief commercial officer & co-founder at GNS Healthcare argues that in order for VBC to reach peak levels of performance and adoption, there must be a convergence of understanding between three key players: payers, providers and the life science industry.
These three parties have developed lifesaving innovations, tech-enabled new procedures, and advanced medical training that have all contributed over the last half century to push the US economy to spend an unsustainable amount on healthcare. Data and analytics are key to fixing this problem and are transforming the way that healthcare is delivered, however, VBC implementation remains complex. In this webinar Iya and Elia Stupka, SVP and general manager, life sciences business at Health Catalyst discuss how the healthcare industry reached this tipping point, why the move to VBC is so important, and how these parties can jointly work together to make healthcare sustainable.
View the webinar and learn:
- How you can make the move to VBC
- The importance of AI and data to drive VBC
VBC will happen and presents an unprecedented moment for payers, providers and life science groups to work together.
8 must haves for modern Clinical Data IntegrationCitiusTech
The shift from volume based to value-based payment model has made the need for more and accurate clinical data all-important for payers. Today, a clinical data integration (CDI) platform that can enable payers to acquire, access and share clinical data to improve patient outcomes, reduce cost, and increase revenue is crucial.
Bracing for disruption: Building agility in life sciences and healthcareSlalom
What will it take to maintain a competitive advantage in the fast-approaching age of personalized, data-driven healthcare?
The rise of CRISPR genome editing technology and affordable genome sequencing have the potential to disrupt the life science and healthcare industries as irrevocably as the Internet disrupted retail, travel, and music. Industry leaders must adapt with unprecedented speed or risk getting displaced by new types of competitors.
Slalom webinar, March 2017
Amy Loftus and Emily Borlik
Watch the recorded webinar:
https://www.slalom.com/thinking/bracing-for-disruption-life-sciences-healthcare-webinar
Healthcare Business Intelligence for Power UsersPerficient, Inc.
The Healthcare industry is accustomed to volumes of clinical and administrative data. Business intelligence helps convert these large amounts of data into actionable insights to reduce costs, streamline processes, and improve healthcare delivery. Our first webinar, “An Introduction to Business Intelligence for Healthcare,” introduces business intelligence in healthcare and common concepts.
In the second of this series of two webinars, Health BI Practice Manager, Mike Jenkins addresses:
- The BI Maturity Level
- Examples of Levels 3 and 4
- Attaining Level 5
Bundled Payment Changes: Learn What’s New and How to SucceedHealth Catalyst
In January, CMS announced the Bundled Payment for Care Improvement Advanced “BPCI Advanced” program, initiating renewed interest in a total cost of care payment model for specific episodes of care. Regardless of your organization’s current decision to participate, it’s important to understand how bundled payment programs have the ability to significantly decrease your internal costs, broaden your revenue opportunities, and improve patient outcomes across specific populations. The Center for Medicare and Medicaid Innovation’s newest iteration of bundled payments provides another tightly-defined program that allows organizations to scale Population Health Management. Best practice suggests that tactical interventions to assess clinical variation, implement strategic care redesign programs, and to adjust care management-facilitated patient stratification models are important to be successful with bundled payments – so knowing how to implement them is crucial. One organization’s savings is another’s income and without making overhead allocation changes, bundled payments may reduce revenue that has been critically important to maintain hospital profitability. Join this webinar to learn:
* What is new with bundled payments.
* The ramifications bundles can have across organizations.
* Leveraging data and strategic analysis to identify opportunities for bundled payment success.
* Operationalizing successful care program tactics to be successful in bundled payment contracts.
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.
The Data Operating System: Changing the Digital Trajectory of HealthcareHealth Catalyst
In 1989, John Reed, the CEO of Citibank and the early pioneer for ATMs, said, “I can see a future in which the data and information that is exchanged in our transactions are worth more than the transactions themselves.” We are at an interesting digital nexus in healthcare. Few of us would argue against the notion that data and digital health will play a bigger and bigger role in the future. But, are we on the right track to deliver on that future? It required $30B in federal incentive money to subsidize the uptake of Electronic Health Records (EHRs). You could argue that the federal incentives stimulated the first major step towards the digitization of health, but few physicians would celebrate its value in comparison to its expense. As the healthcare market consolidates through mergers and acquisitions (M&A), patching disparate EHRs and other information systems together becomes even more important, and challenging. An organization is not integrated until its data is integrated, but costly forklift replacements of these transaction information systems and consolidating them with a single EHR solution is not a viable financial solution.
How to Drive ROI from Your Healthcare Projects: Practical Tools, Templates, a...Health Catalyst
At a time when average hospital’s margins are stagnating, executives should be asking tough questions about the ROI of “indispensable” technologies. Will new technologies prove their worth or drive them further into the red? How do you measure and track ROI?
Clinicians need more education on financial metrics and finance people need to learn more about the clinical processes and outcomes. One of the historical problems with calculating ROI has been the fundamental culture divide between clinicians and finance.
This slide set gives some practical tools, templates (Excel), and how tos based on years of experience to quickly and effectively develop the ability to measure and communicate ROI on healthcare IT and improvement projects.
The Foundations of Success in Population Health ManagementHealth Catalyst
From hospital systems to large employers, organizations are increasingly taking on financial risk for the health of populations. Drivers of this trend include the update to the MSSP model, the recent CMS Primary Cares Initiative announcement, the increasing prevalence of the Medicare Advantage model, innovative partnerships in the self-insured employer space, and the proliferation of Medicaid ACOs. Yet while market pressures push organizations toward population risk, they don't necessarily help them succeed: most organizations are struggling to attain or sustain the dual imperatives of high-quality care and cost containment. A primary reason? Short-sighted and tactical approaches that don't provide the flexible data infrastructure and tools to adapt to emerging trends in population health—or to support short-term contractual requirements while building toward long-term success.
View this launch webinar to learn about Health Catalyst’s Population Health Foundations solution, a data and analytics-first starter set aimed at optimizing performance in value-based risk arrangements and providing the data ecosystem that will flex and adapt to complex needs of risk-bearing organizations. Solution services ensure that the strategic value of data is maximized to improve performance in risk contracts—and provide side-by-side subject matter expert partnership for establishing short- and long-term goals for population health management (PHM).
Built on Health Catalyst’s foundational technology and supported by the nationwide experience and perspective of its experts, the Population Health Foundations solution helps organizations leverage multiple data sources to understand their patient populations and create meaningful views of financial and clinical quality performance. As a starter set that organizations can build on based on their needs, the solution is designed to compensate for the known limitations of “black box” population health applications that fail to reveal the “why” of analytic insights and exacerbate the challenges of transforming quality, cost, and care. The Population Health Foundations solution delivers the essential analytic tools needed for success under value-based risk arrangements.
In these slides you can expect to:
- Review recent changes to the field of value-based care, and reactions and insights from the market
- Discover how the Population Health Foundations solution can act as a comprehensive, data-first analytics solution to support your population stratification and monitoring needs
- Understand how this solution functions as a foundational starter set for value-based care success, enabling clients to leverage all their data and other relevant population health tools
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
Growing amounts of data can be overwhelming for healthcare entities to organize, manage, and distribute effectively, sometimes making data more of a burden than a benefit. However, if organizations adopt the right data mentality, they can gain insight into performance, track an intervention’s success, and improve outcomes. According to data experts, Bryan Hinton, our Chief Technology officer, and TJ Elbert, our SVP and General Manager of Data, organizations can apply five mindset changes to avoid data overload and achieve data-driven improvement:
1. Focus on data orchestration, not data computing.
2. Leverage real-time data, especially in a pandemic.
3. Prioritize data democratization over data control.
4. Use AI, if you’re not already.
5. Change current care models to fit the data.
Why Payers, Providers and Life Science/Pharma Must Join Forces to Achieve Tru...Health Catalyst
Is value-based care (VBC) the path to reducing the 18% of GDP that is spent on healthcare? It just may be, but all parties must play their part. Iya Khalil, chief commercial officer & co-founder at GNS Healthcare argues that in order for VBC to reach peak levels of performance and adoption, there must be a convergence of understanding between three key players: payers, providers and the life science industry.
These three parties have developed lifesaving innovations, tech-enabled new procedures, and advanced medical training that have all contributed over the last half century to push the US economy to spend an unsustainable amount on healthcare. Data and analytics are key to fixing this problem and are transforming the way that healthcare is delivered, however, VBC implementation remains complex. In this webinar Iya and Elia Stupka, SVP and general manager, life sciences business at Health Catalyst discuss how the healthcare industry reached this tipping point, why the move to VBC is so important, and how these parties can jointly work together to make healthcare sustainable.
View the webinar and learn:
- How you can make the move to VBC
- The importance of AI and data to drive VBC
VBC will happen and presents an unprecedented moment for payers, providers and life science groups to work together.
8 must haves for modern Clinical Data IntegrationCitiusTech
The shift from volume based to value-based payment model has made the need for more and accurate clinical data all-important for payers. Today, a clinical data integration (CDI) platform that can enable payers to acquire, access and share clinical data to improve patient outcomes, reduce cost, and increase revenue is crucial.
Bracing for disruption: Building agility in life sciences and healthcareSlalom
What will it take to maintain a competitive advantage in the fast-approaching age of personalized, data-driven healthcare?
The rise of CRISPR genome editing technology and affordable genome sequencing have the potential to disrupt the life science and healthcare industries as irrevocably as the Internet disrupted retail, travel, and music. Industry leaders must adapt with unprecedented speed or risk getting displaced by new types of competitors.
Slalom webinar, March 2017
Amy Loftus and Emily Borlik
Watch the recorded webinar:
https://www.slalom.com/thinking/bracing-for-disruption-life-sciences-healthcare-webinar
Healthcare Business Intelligence for Power UsersPerficient, Inc.
The Healthcare industry is accustomed to volumes of clinical and administrative data. Business intelligence helps convert these large amounts of data into actionable insights to reduce costs, streamline processes, and improve healthcare delivery. Our first webinar, “An Introduction to Business Intelligence for Healthcare,” introduces business intelligence in healthcare and common concepts.
In the second of this series of two webinars, Health BI Practice Manager, Mike Jenkins addresses:
- The BI Maturity Level
- Examples of Levels 3 and 4
- Attaining Level 5
Bundled Payment Changes: Learn What’s New and How to SucceedHealth Catalyst
In January, CMS announced the Bundled Payment for Care Improvement Advanced “BPCI Advanced” program, initiating renewed interest in a total cost of care payment model for specific episodes of care. Regardless of your organization’s current decision to participate, it’s important to understand how bundled payment programs have the ability to significantly decrease your internal costs, broaden your revenue opportunities, and improve patient outcomes across specific populations. The Center for Medicare and Medicaid Innovation’s newest iteration of bundled payments provides another tightly-defined program that allows organizations to scale Population Health Management. Best practice suggests that tactical interventions to assess clinical variation, implement strategic care redesign programs, and to adjust care management-facilitated patient stratification models are important to be successful with bundled payments – so knowing how to implement them is crucial. One organization’s savings is another’s income and without making overhead allocation changes, bundled payments may reduce revenue that has been critically important to maintain hospital profitability. Join this webinar to learn:
* What is new with bundled payments.
* The ramifications bundles can have across organizations.
* Leveraging data and strategic analysis to identify opportunities for bundled payment success.
* Operationalizing successful care program tactics to be successful in bundled payment contracts.
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.
The Data Operating System: Changing the Digital Trajectory of HealthcareHealth Catalyst
In 1989, John Reed, the CEO of Citibank and the early pioneer for ATMs, said, “I can see a future in which the data and information that is exchanged in our transactions are worth more than the transactions themselves.” We are at an interesting digital nexus in healthcare. Few of us would argue against the notion that data and digital health will play a bigger and bigger role in the future. But, are we on the right track to deliver on that future? It required $30B in federal incentive money to subsidize the uptake of Electronic Health Records (EHRs). You could argue that the federal incentives stimulated the first major step towards the digitization of health, but few physicians would celebrate its value in comparison to its expense. As the healthcare market consolidates through mergers and acquisitions (M&A), patching disparate EHRs and other information systems together becomes even more important, and challenging. An organization is not integrated until its data is integrated, but costly forklift replacements of these transaction information systems and consolidating them with a single EHR solution is not a viable financial solution.
Using CRM to Make Physician Referral Networking/Tracking Easier 10 09 ModifiedSuzanne Dewey
What kinds of CRM tools are available to help a physician relations effort with physician tracking? Overview of tools and benefits for physician referral development.
Mission: Possible! Your cognitive future in governmentIBM Government
Read the full report here: http://bit.ly/CognitiveFutureInGov
Welcome to the age of cognitive computing, where intelligent machines simulate human brain capabilities to help solve society’s most vexing problems. Early adopters in government and other industries are already realizing significant value from this innovative technology, and its potential to transform government is enormous. Currently, cognitive systems are helping government organizations navigate complexity in operational environments and foster improved engagement with constituents. Our research indicates that government leaders are poised to embrace this groundbreaking technology and invest in cognitive capabilities to improve outcomes for government organizations across mission areas.
How to Create a Big Data Culture in PharmaChris Waller
A talk presented at the Big Data and Analytics conference in Boston on January 28, 2014. Emphasis on data and information sharing cultures in companies.
How to successfully implement Business Intelligence into your organisation.
A completely agnostic and independent view from a market leader in delivering technology transformation.
Details on how to build a strategy to successfully execute on and more importantly how to get the business to adopt Business Intelligence into their day to day role.
Essential tool kit for any organisation looking to invest in Business Intelligence.
Slideshow presentation for a proposal to implementation an EHR solution in a small hospital. Presented in conjunction with Gannt Chart and project plan.
Collaboration Excellence: Strategies for Enabling a Social BusinessPerficient, Inc.
What goes in to creating exceptional work and web experiences in a social business?
It goes far beyond a simple “build it and they will come” mentality.
Through the use of collaboration tools, enterprises can engage workers, drive innovation, find efficiencies, mobilize workforces, empower leaders and much more.
What's Next: What's Next: Healthcare Marketing Cloud ft. TriplOgilvy Consulting
We are living in the age of data and the promise for marketers is the ability to harness this potential to become smarter about our customers. The opportunity is also the challenge, with so much data, how can we decipher what is useful and valuable to our customers?
GDPR and HIPPA have redefined the approach Healthcare companies use to manage data for marketing, in this webinar learn how Ogilvy has created a proprietary data set dubbed Tripl that, combined with our data consultancy, enables the use of data to intelligently market to HCP’s.
Unleash Enterprise Innovation with Sogeti’s Industry SolutionsCapgemini
Sogeti’s industry solutions, built on Hewlett Packard Enterprise ConvergedSystem for Microsoft Analytic Platform System (APS) and Power BI, create a proven platform for visualizing, modeling and reporting data insights for industries including Healthcare and Retail.
Learn how to unite structured inpatient and outpatient data. Find out how to converge real-time inventory visualization and notifications from external sources and Social Media. Learn to capture and analyze data to improve your decision-making.
Presented at Discover London 2015.
A brief tour of why we focused on building out a data warehouse early on at Clover, and why we think the Data Science function has room to grow in health insurance.
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
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.
How to Leverage Increased Data Granularity in the ICD-10 Code SetPerficient, Inc.
A webinar designed for healthcare professionals. We explore how to leverage the increased data granularity in the ICD-10 code set. While there are risks, a properly executed ICD-10 implementation will deliver plentiful rewards.
Similar to Transforming Healthcare: Build vs Buy (20)
Modern Data Integration Expert Session Webinar ibi
William McKnight, President of McKnight Consulting Group and Information Builders’ Jake Freivald discuss the tools needed for a successful modern data integration.
Artificial Intelligence Expert Session Webinar ibi
Tom Redman of Data Quality Solutions and Information Builders' CMO Michael Corcoran share the latest on artificial intelligence trends in this webinar.
The Value of Improved Clinical Information Management for Payersibi
A solid strategy for managing clinical data offers providers a single, consistent, and accurate view of member care outside their practices. Payers can quickly identify gaps in care and alert providers to promote better outcomes. This new relationship paradigm, however, can only be successful if it is data-driven. View some possible enhancements.
Five Critical Success Factors for Embedded Analyticsibi
This presentation explores operational embedded analytics and customer-facing analytics to provide insight into why organizations should be considering embedded analytics as part of their overall business intelligence strategy.
Here are 10 reasons to attend the Information Builders Summit 2017, June 5-8 at the Gaylord Texan in Grapevine, TX.
Learn more and register: http://www.informationbuilders.com/events/summit
Solving the BI Adoption Challenge With Report Consolidationibi
Check out the slides from a webcast with Rado Kotorov, chief innovation officer at Information Builders, on how to resolve data clutter in your organization with report consolidation.
View the webcast recording at: http://ow.ly/uzPP30alz3J
Check out slides from this 45-minute webcast to see what your organization needs to do to stay on top of the coming technology transformations and gain insight into upcoming trends in analytics.
View the webcast recording at: http://ow.ly/Rnu3307Umb9
You know how much we love data, so to get in the spirit of the 2016 election season, we’ve collected some fun and interesting tidbits about U.S. presidential elections.
Knowing that a problem exists is one thing. Knowing how to solve it efficiently and cost-effectively is another. Discover the core foundational requirements in UX and Design Thinking that are vital to the success of an application that gets optimal buy-in from your users. If you're looking to optimize data visualizations, dashboards, and reports for effective communication of key business metrics, this will put you on the right track.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
1. Build vs Buy: Achieving Lower Costs, Greater Usability
Through a Tailored Platform
Information Builder’s Healthcare Webinar Series – Part 3
1
Speakers:
Colt Hubbartt, Manager of Health and Life Sciences, Information Builders
Fred Goldstein, CEO, Accountable Health
Moderator:
Frances Carroll, Healthcare Account Executive, Information Builders
2. Focus of Today’s Webinar
What we will be covering today:
Addressing ‘niche system’ overload
Why best of breed build
Buy + Build
Reducing costs through tailored systems
Lessons learned from experience in the field
Our Approach to Building
IB Overview
Healthcare Success Stories
Wrap up discussion:
Seeing the Value from your Data
2
3. Today’s Speakers
Colt Hubbartt, Manager of Health and Life Sciences, Information Builders
Colt works with organizations across the country on designing solution-oriented
implementation plans. He has the unique ability to see challenges in both the payer and
provider levels across the country. His seven years of EMR implementation experience allows
him to help drive a solution towards your organizational initiatives.
Fred Goldstein, Founder and President, Accountable Health, LLC
Fred is founder and president of Accountable Health, LLC, a consulting firm providing expert
guidance in population health program design and development. He is a Certified
Professional by the Validation Institute and founder and co-host of PopHealth Week, a
weekly podcast.
3
4. Why ‘one stop’ is not always your ‘shop’
4
Fred Goldstein, Accountable Health
5. System Overload
Today’s health systems…
Spend $40 billion annually on IT programs
Plan an average of six major IT investments per year*
Single system or multiple?
How much time do you spend in multiple, siloed systems per day?
Survey carried out by eHealth Initiative revealed that of the
nearly 200 providers surveyed; 70 of them were required to
connect to 10 different systems
5
How many systems do you access a day?
6. Unbreak Siloed Software
[Siloed] Software is killing health systems. It’s expensive.
It’s inefficient. It can’t keep pace with industry change.
One survey showed that 94% of “struggling” hospital
CFOs blame failed or delayed IT projects*
6
7. Specific Data Challenges
AHIMA survey of 815 HIM pros with 12 different EHRs most wrestle with
duplicate medical records on a regular basis:
Key takeaways from the survey:
57% spend time sorting through duplicates "regularly."
72% said they work to mitigate duplicate patient records at least weekly
47% said they lack resources to correct dups & quality assurance step in their
registration or post-registration process to identify dups.
55% communicate duplicate medical records rates with their orgs., but report lack
of standard definitions re. how duplicate rates are calculated.
Inadequate information governance policy support
7
Patient Matching Problems Plague HIM Pros Beckers 1/7/2016
The fact there are duplicates is only the tip of the iceberg re. data problems.
8. Build vs Buy
8
Why not Buy + Build?
BUY
PROS
Covers most of the requirements
Vendor does enhancements/upgrades
NEED
BUILD
PROS
Addresses all your requirements best
Full control and flexibility
Control over costs
Integrated platform that enables:
Complete customization to
your needs
Removal of ‘home grown’
labeling
Best control over costs
In-house application
maintenance
Knowledge transfer
9. Land and Expand Model
You can start small and add capabilities over time…
9
10. Cons to Build
According to some…
Learning lessons that others have already learned– that’s the
reason for working with an experienced company that has done it
and can assist you in the process…
Find a vendor that helps you build!
Software
Services
Education
...and YOU!
10
11. Building off a Framework
We’re not talking about writing the system from scratch
but using qualified best of breed applications combined
with external and internal expertise and support and
current bought and or built systems….
Flexible architecture
Multiple product offerings on a single platform
11
The Assembly Model
12. Particularly in the end user data analytics area a build approach is
better
You have multiple data sources and may have even more in the
future – Building them all into one configurable warehouse
platform is the best approach
Flexibility to add future data as you need it, not when they can
get around to it
Customize reports and dashboards to meet the needs of the
individual users from different areas with the same data
You know your work flows
You know where the data came from, its not a black box
12
A Single Data Analytics and Reporting System
Building off of a Framework
13. My Experience with Software Development
I have both built and bought systems to do population health and
other provider specific
Building provided greater flexibility
Able to meet unique needs simply
Quicker turnaround for custom designs
Easier handoffs to others as we knew system inside and out
Bought
Limited by their development capabilities
Costs for development were higher
13
Learn from, work with those that know
14. Our system can do that!
How many times have you heard that?
The horror stories…
A vendor with a custom platform system
Costs went through the roof
Changes took forever we were queued up with their
other clients
Data extracts were difficult,
Had to supplement with outside analytics, reporting
14
Test the Facts!
15. Working on a 30 day readmit program
Vendor selected by a client before I was involved
Yes you can add fields, we can change workflows, you can have mobile
access, reporting
All proved to be problematic
Ran out of field types
Dates and numeric field would be entered as text only
Work flows were more fixed than explained
Access was not as needed and updates were inconsistent
Could not put out reports in the required format to bill
Activity monitoring was not as needed
Fortunately got them out for only a portion of their deposit.
15
18. Portal Embedded InfoApps™
ApplicationsLegacy Systems Relational/Cubes Big Data Columnar/In Memory Unstructured Social Media Web Services Trading Partners
Enterprise Integration
Mobile Write-Back
Data Discovery Reporting Dashboards
High-Performance
Data Store
Data
Quality
Data
Governance
Master Data
Management
Batch ETL Real-Time ESB
Data Integrity & Preparation
Business Analytics
Location
Analytics
Casting
and Archiving
In-Document
Analytics
SearchPredictive
Analytics
Sentiment and
Word Analytics
Performance
Management
Social
Hot
Bad
Feedback
3i Platform – Intelligence, Integrity & Integration
Governed Self-Service Analytics
19. Understanding organizational needs helps establish a value driven roadmap
Business Value Assessment
• Executives and leadership
• Clinical leaders
• Business managers
• Business analysts
• IT and analytics
• Stakeholders
Understand Organizational Needs
20. What to Expect
Findings overview with value based InfoApp ideas
Customized demonstration
Suggested roadmap for implementation
Data profiling (where applicable)
20
Assessment Deliverables
22. Decision
Management
Value
High
Low
Raw Data Integrated and
Enriched Data
Analyzed
Information
Repurpose data for
Strategic Growth &
Transformation
Land of
Opportunities
Analytical ToolsIT Tools InfoApps™
(Analytic Apps.)
External Facing
InfoApps™
Network Wide Harmonized Data and Business Analytics
Increased Value Across Care Settings Combined with External Data
Butler wins lab
work w/BI that IDs
optimal antibiotics
St. Luke’s IDs gaps
in care for better
outcomes & fewer
readmits.
NYU Langone
improves Labor
Productivity to
optimize staff
saving $5M/yr.
Memorial Health
"Omni-Patient
provides complete
demographics &
histories, remediates
records, & monitor
data lineage."
24. Value Adds: Reducing Costs
Deploy a solution that would prevent the need to pay for additional
developers
Enabling self-service capabilities to end business users
Flexible enough to enable development of your own applications
No need to purchased third-party programs
Scalability for future growth
Support greater number if users, applications, integration types
24
Where can you reduce costs now and in the future?
25. Value Adds: Increasing Revenue
Dig deep into data to uncover processes or operations where
income could be generated
Increase admissions
Add new revenue streams
Qualify for new types of funding
Identify market trends
25
Monetizing Your Data and Strengths
26. Questions for our Speakers…
Links to a recording of today’s webinar will be sent out shortly!
THANK YOU!
www.informationbuilders.com
26
Editor's Notes
Back in 1999 I began building a custom system
Integrated member demographics, claims, clinical data, care management functionality, reporting for one disease state
Expanded over time for multiple disease states, multiple contracts, standard and custom reporting, new care management functionality as our model changed
We could change on the fly at a low cost
Ford –
Fedex –
Target –
DST –
Autozone –
US Bank –
Executing your roadmap
Identifying the immediate, long-term needs
Defining the integration, development plan
Blend of resources, roles and responsibilities
Deploying an interactive development process