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GE Healthcare Camden Group Insights Blog

Webinar Reminder: Building an Analytics-Based Value Model to Validate Transformation Investments

Posted by Matthew Smith on Nov 29, 2016 2:10:38 PM

Please join GE Healthcare Camden Group for a complimentary, 60-minute webinarBuilding an Analytics-Based Value Model to Validate Transformation Investments, on Thursday, December 8, 2016, at 12:00 P.M., ET.

Date:

Thursday, December 8th, 12:00 P.M., Eastern

Background:

Healthcare organizations are struggling to understand the impact of their investments in population health initiatives. To help measure performance risk and evaluate return on investment ("ROI"), organizations are building and implementing analytics-based value models as decision-making tools. Creating these value models allows healthcare organizations to quantify risks and evaluate viability. It also allows organizations to measure and track ROI in digital health technology and resources associated with various programs aimed at managing the health of the populations they serve.

GE Healthcare Camden Group's team of analysts, data scientists, and actuaries builds comprehensive analytics-based value models for organization leaders (CFO, CMO, CIO, Population Health Leaders) wanting to evaluate their ROI from investments in care management programs, look to better manage utilization, and predict outcomes.

Overview:

In this complimentary webinar, members of the GE Healthcare Camden Group team will deliver an overview of the analytics-based value model and how high-performing healthcare organizations are leveraging these to guide strategic decision making and prioritize investments in value-based care initiatives.  

Topics to be Addressed:

Held in a round-table format with GE Healthcare Camden Group senior leaders representing the roles of an organization's CFO, CMO, and CIO, the webinar will address the following questions facing today's leaders:
  • Where should organizations invest resources in order to drive the most value from their care management programs?
  • What is the impact on their programs to both acute and ambulatory utilization?
  • Which programs are driving the greatest value and how are these measured?
  • What “value levers” are important in order to drive the best outcomes?
  • What is the expected outcomes from managing certain medical conditions and/or population risk cohorts?
  • What is the typical ROI of their care management programs and population health initiatives?
  • How can this information be used to support risk-based contracting with payers and other providers?

GE Healthcare Camden Group Presenters:

Marino_Dan.jpgDaniel Marino, MBA, MHA, Executive Vice President Mr. Marino is an executive vice president with GE Healthcare Camden Group with more than 25 years of experience in the healthcare field. Mr. Marino specializes in shaping strategic initiatives for healthcare organizations and senior healthcare leaders in key areas such as population health management, clinical integration, physician alignment, and health information technology. With a comprehensive background in all aspects of practice management and hospital/physician alignment, Mr. Marino is a nationally acknowledged innovator in the development of Accountable Care Organizations and clinical integration programs.

chopra2-110511-edited-239718-edited.jpgShaillee J. Chopra, PMP, Senior Manager Ms. Chopra is a senior manager with GE Healthcare Camden Group and specializes in developing and managing innovative technology portfolios for value-based and clinically integrated healthcare networks. She is highly experienced in leading information technology and consumer experience strategy development, as well as transformations to enable clinical integration, accountable care, and population health management strategies for organizations invested in innovation and transformation of care delivery models.

 

DiLoreto.pngDavid DiLoreto, M.D., MBA Dr. DiLoreto, senior vice president at GE Healthcare Camden Group, is a physician-executive who is highly experienced in executive management, strategy and operations of healthcare delivery systems, and managed care companies. He has deep management expertise in community-based and academic health systems, large group medical practices, hospitals, and managed care organizations. His areas of specialty include clinical transformation, population health, business process improvement, leadership development, medical informatics, and data management and analytics.

GreenB1.pngRobert Green, MBA, FACHE, CHFP Mr. Green is a senior vice president and the practice lead for the Financial Operations and Transactions practice. He has more than 26 years of healthcare experience with 13 years of healthcare consulting experience and 13 years of provider-based financial, operational, and strategic experience among health systems, hospitals, medical groups, management services organizations, and physician hospital organizations.

 

To Register:

To register, simply click the button below, complete a short registration form, and press the "Cick to Register!" button. You will receive a confirming email. A second email will be sent the week of December 5th with webinar login/call-in instructions.

Please note: This webinar is intended for providers, provider organizations, and industry partners. Because of the proprietarty nature of the information shared during this webinar, independent consultants and consulting agencies will not be provided access to programming. GE Healthcare Camden Group reserves to the right to limit attendance at this event. 

Value Model, Webinar, Digital Health Analytics

Questions?

Please contact Matthew Smith at msmith@ge.com

Topics: Webinar, Daniel J. Marino, Shaillee Chopra, Digital Health Services and Data Analytics, Value Model, David DiLoreto, Robert Green

New Webinar: Building an Analytics-Based Value Model to Validate Transformation Investments

Posted by Matthew Smith on Nov 16, 2016 1:16:09 PM

Please join GE Healthcare Camden Group for a complimentary, 60-minute webinarBuilding an Analytics-Based Value Model to Validate Transformation Investments, on Thursday, December 8, 2016, at 12:00 P.M., ET.

Date:

Thursday, December 8th, 12:00 P.M., Eastern

Background:

Healthcare organizations are struggling to understand the impact of their investments in population health initiatives. To help measure performance risk and evaluate return on investment ("ROI"), organizations are building and implementing analytics-based value models as decision-making tools. Creating these value models allows healthcare organizations to quantify risks and evaluate viability. It also allows organizations to measure and track ROI in digital health technology and resources associated with various programs aimed at managing the health of the populations they serve.

GE Healthcare Camden Group's team of analysts, data scientists, and actuaries builds comprehensive analytics-based value models for organization leaders (CFO, CMO, CIO, Population Health Leaders) wanting to evaluate their ROI from investments in care management programs, look to better manage utilization, and predict outcomes.

Overview:

In this complimentary webinar, members of the GE Healthcare Camden Group team will deliver an overview of the analytics-based value model and how high-performing healthcare organizations are leveraging these to guide strategic decision making and prioritize investments in value-based care initiatives.  

Topics to be Addressed:

Held in a round-table format with GE Healthcare Camden Group senior leaders representing the roles of an organization's CFO, CMO, and CIO, the webinar will address the following questions facing today's leaders:
  • Where should organizations invest resources in order to drive the most value from their care management programs?
  • What is the impact on their programs to both acute and ambulatory utilization?
  • Which programs are driving the greatest value and how are these measured?
  • What “value levers” are important in order to drive the best outcomes?
  • What is the expected outcomes from managing certain medical conditions and/or population risk cohorts?
  • What is the typical ROI of their care management programs and population health initiatives?
  • How can this information be used to support risk-based contracting with payers and other providers?

GE Healthcare Camden Group Presenters:

Marino_Dan.jpgDaniel Marino, MBA, MHA, Executive Vice President Mr. Marino is an executive vice president with GE Healthcare Camden Group with more than 25 years of experience in the healthcare field. Mr. Marino specializes in shaping strategic initiatives for healthcare organizations and senior healthcare leaders in key areas such as population health management, clinical integration, physician alignment, and health information technology. With a comprehensive background in all aspects of practice management and hospital/physician alignment, Mr. Marino is a nationally acknowledged innovator in the development of Accountable Care Organizations and clinical integration programs.

chopra2-110511-edited-239718-edited.jpgShaillee J. Chopra, PMP, Senior Manager Ms. Chopra is a senior manager with GE Healthcare Camden Group and specializes in developing and managing innovative technology portfolios for value-based and clinically integrated healthcare networks. She is highly experienced in leading information technology and consumer experience strategy development, as well as transformations to enable clinical integration, accountable care, and population health management strategies for organizations invested in innovation and transformation of care delivery models.

 

DiLoreto.pngDavid DiLoreto, M.D., MBA Dr. DiLoreto, senior vice president at GE Healthcare Camden Group, is a physician-executive who is highly experienced in executive management, strategy and operations of healthcare delivery systems, and managed care companies. He has deep management expertise in community-based and academic health systems, large group medical practices, hospitals, and managed care organizations. His areas of specialty include clinical transformation, population health, business process improvement, leadership development, medical informatics, and data management and analytics.

GreenB1.pngRobert Green, MBA, FACHE, CHFP Mr. Green is a senior vice president and the practice lead for the Financial Operations and Transactions practice. He has more than 26 years of healthcare experience with 13 years of healthcare consulting experience and 13 years of provider-based financial, operational, and strategic experience among health systems, hospitals, medical groups, management services organizations, and physician hospital organizations.

 

To Register:

To register, simply click the button below, complete a short registration form, and press the "Cick to Register!" button. You will receive a confirming email. A second email will be sent the week of December 5th with webinar login/call-in instructions.

Please note: This webinar is intended for providers, provider organizations, and industry partners. Because of the proprietarty nature of the information shared during this webinar, independent consultants and consulting agencies will not be provided access to programming. GE Healthcare Camden Group reserves to the right to limit attendance at this event. 

Value Model, Webinar, Digital Health Analytics

Questions?

Please contact Matthew Smith at msmith@ge.com

Topics: Webinar, Daniel J. Marino, Shaillee Chopra, Digital Health Services and Data Analytics, Value Model, David DiLoreto, Robert Green

Two New Downloads: Analytics-Based Value Model | Health System Integration

Posted by Matthew Smith on Oct 8, 2016 10:16:45 AM


Two new downloads from GE Healthcare Camden Group are now available for download. Simply click the button below each description, and you will be taken to the respective download page.

Leveraging an Analytics-Based Value Model to Optimize Healthcare Strategies

Healthcare organizations are faced with the challenge of measuring optimal performance in a complex environment. An analytics-based value model can provide decision-making capabilities to measure performance, risk, and evaluate return on investments.

This new download from GE Healthcare Camden Group details the importance of creating an effective analytics-based value model and focuses on:

  • Key components of an analytics-based value model
  • Key drivers behind value modeling
  • Sample value drivers and KPIs
  • Benefits of leveraging advanced data mining
  • Relationships between trends and outcomes
  • Components of risk stratification
  • Barriers to success

Value Model, Health Analytics


Health System Integration: You Need a Plan!

Health systems fail to achieve full integration due to a lack of effective planning, poor management collaboration, or subpar implementation. Regardless of the reason, a sound integration plan focused on the goals of the system and dedicated true integration will increase the odds of success.  

This new download from GE Healthcare Camden Group details the importance of creating an effective integration plan and focuses on:

  • The increase in the number of hospitals in mergers and acquisitions
  • Health system efficiency imperatives
  • Definition and applications of a business plan of operational efficiencies ("BPOE")
  • Individual hospital vs. system-based savings
  • System integration efficiency strategies

Health System Integration

Topics: Download, Data Analytics, Hospital Integration, Value Model

Utilizing Analytics to Measure Risk and Evaluate ROI in Your Organization's Value-Based Care Initiatives

Posted by Matthew Smith on Oct 4, 2016 2:06:19 PM

By Shaillee Chopra, PMP, Senior Manager, and Daniel J. Marino, MBA, MHA, Executive Vice President, GE Healthcare Camden Group

Data AnalyticsHealthcare organizations transitioning from fee-for-service to value-based models are making substantial investments in building technology and operational infrastructure to drive new services and workflows. Developing an effective and an efficient care delivery system from which to identify and drive profitability under risk arrangements remains of utmost importance. However, developing an analytics framework to support population health management, evaluate potential and expected returns from investment continues to be a struggle for many healthcare organizations.

Creating an analytics-based evaluation model enables healthcare organizations to quantify risks and evaluate viability and value-add of outcomes associated with various decisions. It also allows them to measure and track return on their investments in technology and resources associated with various programs aimed at managing health of populations they serve.

An Analytics-Based Value Model for Population Health

The framework for this model is grounded in measurement of utilization by place of service. It provides near real-time insight into “what works and what does not” in an operational environment. It also serves as a mechanism to ensure an organization’s positive position during re-contracting discussions with payers since it is supported with demonstrable value of delivering the right care to the right patient at optimal cost in the most appropriate setting. It serves as an information-based decision making model that enables the organization to make the transition to pay-for-value while preserving margins and without upsetting the apple cart of existing payer -provider relationships.

The Need for a Value Model Within an Organization’s Population Health Framework

A value model allows your organization to develop a deeper understanding around which variables drive outcomes that impact decisions about investments and resource allocation. For example, high-performing and value-based organizations are committed to improving quality and reducing avoidable utilization and costs. Cost reductions are a byproduct of the reduction in avoidable ER and acute inpatient utilization for individuals with chronic conditions. These costs are offset by an increase in “good utilization” such as increased PCP visits, wellness screenings, and pharmacy costs associated with medication adherence.  An analytics-based value model allows your organization to meaningfully sift through large amounts of data to identify and isolate important variables for future strategic success.

It allows for assessment of returns on investments made in various disease management intervention programs for at-risk, rising-risk and chronically ill population cohorts. It identifies assets and value levers that can be leveraged to prioritize and tweak the operational models for optimal returns.

Finally, it allows your organization to use analytics as a cornerstone for an innovative and data-driven approach to population health management.

Key Questions to Ask Within Your Healthcare Organization

Top performing healthcare organizations that are invested in developing their analytic capabilities begin with the end in mind and work from an analytics roadmap. Below are some of the key questions to consider to ensure you are achieving outcomes you desire without “boiling the ocean” and wasting valuable resources on programs that have minimally aligned outcomes:

  • What are the key questions you want to answer? Do you have 3-5 clearly defined use cases?
  • Accuracy, validity and credibility of your data: Do you know what data is needed? Do you have the right data? Is the data useable, i.e., accurate and credible? What data do you not have? Do you have a data acquisition strategy?
  • Analytics roadmap: Have you established a needs based analytics framework within your organization? Do you have right skillset and adequate tools to conduct analytics? After you perform analytics do you know how to interpret the results and make them actionable?
  • Driving actions: Do you have an actionable strategy for executing on the results? What are the actionable opportunities to execute against? How are you evaluating competing analytic priorities for resources and investment?
  • Monitoring impact and evaluate results: Have you implemented processes to track performance as part of your activation plan? Are you tracking both outcomes and the steps required to achieve the outcomes? Are you leveraging predictive modelling to consider varied “What if” scenarios to continually optimize the focus areas of your operational work plan?

Utilizing an analytics-based value model allows your healthcare organization to optimally invest resources and dollars towards operational programs that generate outcomes and value most alignment with strategic goals.

Value Model, Health Analytics


chopra2-110511-edited-239718-edited.jpgMs. Chopra is a senior manager with GE Healthcare Camden Group and specializes in developing and managing innovative technology portfolios for value-based and clinically integrated healthcare networks. She is highly experienced in leading information technology and consumer experience strategy development, as well as transformations to enable clinical integration, accountable care, and population health management strategies for organizations invested in innovation and transformation of care delivery models. She may be reached at shaillee.chopra@ge.com.

 

Marino_Dan.jpgMr. Marino is an executive vice president with GE Healthcare Camden Group with more than 25 years of experience in the healthcare field. Mr. Marino specializes in shaping strategic initiatives for healthcare organizations and senior healthcare leaders in key areas such as population health management, clinical integration, physician alignment, and health information technology. With a comprehensive background in all aspects of practice management and hospital/physician alignment, Mr. Marino is a nationally acknowledged innovator in the development of Accountable Care Organizations and clinical integration programs. He may be reached at daniel.marino@ge.com.

Topics: Value-Based Care, Healthcare Analytics, Daniel J. Marino, Data Analytics, Shaillee Chopra, Digital Health Services and Data Analytics, Value Model

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