Murray Aitken
IMS Institute for Healthcare
USA
Title: Closing the Healthcare Gap by Applying Predictive Analytics to Improve the Use of Medicines
Biography
Biography: Murray Aitken
Abstract
The combination of expanded real-world data generation, technology platforms to access, link and aggregate the data, and advanced analytical methods, is bringing new opportunities to close the healthcare gap – reducing the difference between optimal care at reasonable cost and healthcare care as it is generally practiced. The value of predictive analytics is being recognized across the health system as a critical tool in the application of informatics, and can be utilized to improve the use of medicines. Specific areas of application include: identifying types of patients most likely to experience disease progression (prognostic models); detecting undiagnosed patients (diagnostic models); and patient-level responses to different treatment options (applied precision or personalized medicine models). Examples of such applications and impact brought to health systems will be presented. Further areas of opportunity to apply predictive analytics in high priority areas will require further development of data resources, analytic tools, and health systems aligned to applying predictive analytics as a critical input to decision-making.
