Return On Investment (ROI) Model
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SOLUTION BRIEF Return On Investment (ROI) Model A modeling tool to help employers, health plans and government agencies evaluate the cost savings and ROI from risk reduction efforts Understanding potential ROI for health promotion and wellness programs We believe finding better ways to manage the risk level of consumers, in particular those with chronic conditions, is important for organizations to manage costs and increase profitability. Many organizations have developed health and wellness programs to help address behaviors that may lead to chronic conditions. Watson Health © IBM Corporation 2018 Potential benefits – Design and implement high impact programs – Establish a business case and guide investments in health promotion programs – Justify the time, effort and money spent on intervention programs – Negotiate with vendors – Run alternative “what if” scenarios to model potential results with various levels of investment – Flexibility to run location- specific inputs to identify optimal opportunities for health programs Features –Incorporates organization- specific demographic, health risk and program impact data – Estimates potential cost savings from programs designed to address 10 modifiable health risks – Proactively or retrospectively estimates the financial return for a program – Incorporates findings from peer-reviewed studies showing the relationship between health risk and cost – Normative data updated annually for relevant, current comparisons
Transcript of Return On Investment (ROI) Model
SOLUTION BRIEF
Return On Investment (ROI) Model
A modeling tool to help employers, health plans and government agencies evaluate the cost savings and ROI from risk reduction efforts
Understanding potential ROI for health promotion and wellness programs We believe finding better ways to manage the risk level of consumers, in particular those with chronic conditions, is important for organizations to manage costs and increase profitability. Many organizations have developed health and wellness programs to help address behaviors that may lead to chronic conditions.
Watson Health © IBM Corporation 2018
Potential benefits –Design and implement high impact programs –Establish a business case and guide investments in health promotion programs –Justify the time, effort and money spent on intervention programs –Negotiate with vendors –Run alternative “what if” scenarios to model potential results with various levels of investment –Flexibility to run location-specific inputs to identify optimal opportunities for health programs
Features –Incorporates organization-specific demographic, health risk and program impact data –Estimates potential cost savings from programs designed to address 10 modifiable health risks –Proactively or retrospectively estimates the financial return for a program –Incorporates findings from peer-reviewed studies showing the relationship between health risk and cost –Normative data updated annually for relevant, current comparisons
Truven Health Analytics®, acquired by IBM® in 2016 and now part of the IBM Watson Health™ business, in collaboration with Johns Hopkins, recently developed an updated modeling tool to help employers, health plans and government agencies estimate the potential cost savings and ROI that their risk reduction efforts could produce. This ROI Model helps organizations answer questions such as:
– Which health risks are the most prevalent and the most costly for your organization?
– What level of risk reduction is needed to justify an investment in health promotion?
– What is the break-even point for a wellness program?
Designed to show the relationship between modifiable risk factors and medical expenditures, the ROI Model helps in addressing the following common health risks:
– high blood glucose – obesity – physical inactivity – depression – poor nutrition/eating habits – tobacco use – high total cholesterol – high stress – high blood pressure – high alcohol consumption
Basis for the ROI ModelWe, in collaboration with the Johns Hopkins Institute for Health and Productivity Studies (IHPS), conduct empirical research on the relationship between health and productivity. Our research helps inform public and private sector decision makers on issues related to health and productivity management.
The empirical data on which the ROI Model is built is derived from the original Health Enhancement Research Organization (HERO) study that was published in 1998 in the Journal of Occupational and Environmental Medicine.1 Updated findings were published in the November 2012 issue of Health Affairs.2
Data inputs and ease of useThe ROI Model helps you get the information you’re looking for in three steps.
The first step is to work with the Watson Health team to gather the data inputs for use in the ROI Model.
The information required to populate the model includes:
– health risks (health risk assessment, electronic medical records, etc.)
– demographic characteristics – the amount spent on risk reduction programs
Next, we enter the data into the ROI Model to estimate cost impacts and potential ROI. Short- or long-term program effects can be projected by altering the various inputs. If information for certain input values is not known, the ROI Model uses selected default values that are based on scientific literature or reliable government sources.
Finally, we work with you to review and interpret the results and determine next steps.
For more informationFor information about licensing the ROI Model, please contact your Watson Health client team for use options and a pricing schedule.
If you have technical questions about the ROI Model, please contact Matt Flanery, Senior Analytic Consultant at IBM Watson Health, email: [email protected].
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Produced in the United States of America April 2018
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Get connectedEmail: [email protected]
About IBM Watson HealthEach day, professionals throughout the health ecosystem make powerful progress toward a healthier future. At IBM Watson Health, we help them remove obstacles, optimize efforts and reveal new insights to support the people they serve. Working across the landscape, from payers and providers to governments and life sciences, we bring together deep health expertise; proven innovation; and the power of artificial intelligence to enable our customers to uncover, connect and act — as they work to solve health challenges for people everywhere.
For more information on IBM Watson Health, visit:ibm.com/watsonhealth
Footnotes
1 Goetzel RZ, Anderson DR, Whitmer RW, Ozminkowski RJ, Dunn RL, Wasserman J. The relationship between modifiable health risks and health care expenditures: An analysis of the multi-employer HERO health risk and cost database.
J Occup Environ Med. 1998 Oct; 40(10):843-854, https://www.ncbi.nlm.nih.gov/pubmed/9800168
2 Goetzel, RZ et al. Ten modifiable health risk factors are linked to more than one-fifth of employer-employee health care spending. Health Affairs. 2012 Nov; 31: No. 11, http://content.healthaffairs.org/content/31/11/2474.abstract
