The ability to collect and exchange health data is meaningless unless it is appropriately accessed and analyzed to inform clinical decisions about an individual’s condition and possible interventions. Data stored in disease registries and repositories create opportunities for us to develop a more refined healthcare consumer matching process, analyze and predict trends, and even make predictive assumptions about an individual and population.
As the world of health IT matures, so do the possibilities to make informed care decisions, deliver quality care, improve patient outcomes, and ultimately lower total cost of care. Industry leaders have to overcome a number of organizational and process challenges preventing them from fully participating in proper data access and use.
Data stored in disease registries and repositories create opportunities for us to develop a more refined healthcare consumer matching process, analyze and predict trends, and even make predictive assumptions about an individual and population. This workgroup will focus on the growing role of analytics in healthcare and how we utilize data to make informed clinical decisions at both the individual and population level.
- Review various roadblocks and successes of key areas of analytics such as costs and benefits of patient access and how data is shared such as:
- Access to data outside an organization/network
- Data integration
- Change management
- Cost of new health information technology
- Obtaining provider commitment to participate
- Investigate the role of predictive analytics to improve health outcomes, using data and the identification of risk profiles
- Provide insight into the needs of the healthcare industry and possible solutions
- Discover new examples of success stories that will be added to our online resource center
- Identify overarching trends and give recommendations on best practices as well as innovation models
- Identify priorities that can be recommended for federal partners to take action • Develop a whitepaper that identifies, analyzes and communicates successful examples of data analytics
Selection Process for Membership and Staffing
Members are expected to contribute success stories, complete surveys and engage in workgroup discussions. The group meets on a monthly basis virtually. One in person meeting is held annually at the eHI Annual Conference and Meeting. This group is open to all eHI members. The group is staffed by Claudia Ellison: firstname.lastname@example.org.
Data Analytics Leadership Council
- Chelsea N. King, Senior Manager, Product Innovations, Inovalon
- David J. Bensema, MD, MBA, FACP, Chief Information Officer, Baptist Health
- Jason Buckner, Senior Vice President, Informatics, The Health Collaborative
- Steven E. Waldren, MD MS, Director, Alliance for eHealth Innovation, American Academy of Family Physicians
The purpose of the Data Analytics Workgroup is to focus on the use part of Data Access and Use, and the growing role of analytics in healthcare.