2nd Annual Health Care Predictive Analytics Summit

Innovation and technology are changing the way healthcare systems engage patients and consumers. Predictive analytics hold enormous potential for improving clinical outcomes, increasing efficiencies, and turning big data into better care. Today, healthcare systems that know how to use big data to both understand and meet the needs of their patients are better positioned for success.

• Understand how one organization is harnessing the power of big data to provider real-time insights for delivering greater value, transforming care delivery and personalizing their services
• Explore the role predictive analytics plays in the approach to population health, patient engagement, and organizational strategy

Predictive analytics can help identify gaps in care, allowing providers to intervene and offer services that consumers need to improve their health.

• Use predictive analytics to detect gaps in care and prevent these gaps in the future
• Predict which individuals would benefit most from care management interventions

Depending on the timing and severity of the health issue, as well as relationships with their providers, consumers jump between various health care facilities for their care. The best care is delivered when providers have access to information about health care services provided at other locations as well as their own. Additionally, hospitals and health plans often have access to varying data about consumers and would benefit from sharing and integrating data. However, there is not always an ease at which data are shared across technologies and systems.

• Understand the benefit of sharing data across systems, even with those at competing organizations
• Discover strategies for overcoming interoperability issues

Lifestyle behaviors – such as healthy eating, regular exercise, refraining from smoking, and drinking alcohol in moderation – are associated with improved physical health, emotional health, and increased productivity. Consumers are tracking data on lifestyle behaviors individually through use of apps, wearables, and fitness sites and health care organizations have an opportunity to utilize this data to influence the health of populations.

• Improve population health using patient reported data
• Illustrate the value of primary prevention and health promotion
• Utilize patient-generated data to determine where intervention can improve health

Obtaining support and implementing predictive analytics programs tend to be the biggest hurdles within health care analytics teams, but once these are complete, the work is not over. Since the fields of health care and predictive analytics are constantly changing, organizations must prepare for changes and updates within their health care predictive analytics programs.

• Discuss timelines for re-evaluating programs and processes
• Explain the need for a dedicated staff to monitor and maintain programs