New data sources and analytical research methods are providing better insight into patient behavior, which could lead to better care according to a recent Academy Health blog.
Authors suggest utilizing data from a variety of channels — including biometric readings on wireless devices, patterns of health service use through electronic health records and social media and internet use — can help researchers bridge the gap between controlled clinical trials and value as measured by patients, payers and providers.
ACOs and some other health care providers are using these sources to identify those patients in need of help and to use that information accordingly, such as making predictions on different treatments and the potential for adverse effects.
New analytic approaches give researchers the chance to learn from a much larger pool than traditional clinical trials. Using program support platforms, digital devices and apps, allows study of groups traditionally underrepresented in trials and helps determine how those populations fare on varying treatments or if those treatments yield other potential benefits.
New methods can also give greater insight into patient behavior and allow for personalized interventions and customized approaches.
However, providers, payers and policymakers will need to remain grounded in what matters to patients. Success will also depend on collaboration among all stakeholders.