185763 Data-Driven Decision-Making: A Model Decision Support Analytic Tool

Tuesday, October 28, 2008

Richard Hartman, PhD , Office of the Assistant Deputy Under Secretary for Health for Policy and Planning, Veterans Health Administration, Washington, DC
Kara Hawthorne, MSW , Office of Rural Health, Veterans Health Administration, Washington, DC
James Minier , Department of Health Systems Administration, SNHS, Georgetown University, Washington, DC
Ryung Suh, MD MPH MPP MBA , Department of Health Systems Administration, SNHS, Georgetown University, Washington, DC
Central to the establishment of effective measures of access and quality for rural veterans and to the optimal management of resources by the VA's Office of Rural Health (ORH) is the development of a robust decision support system. This decision support system leverages existing and new streams of data to raise situational awareness of aggregate trends, to develop prompt and accurate responses to both political leaders and policy planners, to generate flexible analytic strategies to meet challenging policy questions, and to provide effective evaluations and assessments of the impacts of policies, initiatives, and services promoted by the ORH. It includes interactive graphical representations, geocoded overlays, and analytic maps; provides aggregate measures, tracks local variability, and allows local drill-down capability; tracks both clinic metrics and program management measures and allows specific directed analyses; and provides a basic medical surveillance capability. This session describes the conceptual framework for the ORH decision support system, reports on progress on development of the beta testing version, and highlights its role in ORH's data-driven decision-making approach.

Learning Objectives:
Describe the conceptual framework for the decision support analytic platform being developed for the VA's Office of Rural Health (ORH) Report on progress to date in developing the best testing version Highlight the role of the decision analytic tool in ORH's data-driven decision-making process

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I reviewed and participated in planning and research activities, to include a literature review, structured interviews, internal VA review, and environmental scan for the VA Office of Rural Health, as well as contributed to the Office of Rural Health strategic plan.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.