As the US population continues to age and people are living longer, healthcare IT-supported care coordination across organizations—and with patients themselves—is particularly critical to manage the rising demand for (and cost of) care. New care delivery models such as patient-centered medical homes and accountable care organizations are thought to hold great potential for improving chronic disease management, while the development of mobile solutions will enable patients to manage their own care.
As is the case in most other countries around the world, the use of data analytics for organizational and public health reporting is still in its early stages in the US, but it is likely to be an important focus of connected health development in the future. Experts welcome this development since they believe that analytics has a huge potential for improving quality of care at the local level, shaping improvements in public health and developing more cost-effective solutions across the system. The meaningful use criteria will, experts believe, drive future progress and accelerate the use of analytics.
The relatively limited use of patients’ clinical data for analytical purposes is largely due to a lack of comprehensive and comparable patient data sets. To enable sophisticated analytics, healthcare professionals need to collect and store individual patient data in a form that is easily accessible and enables interrogation. This in turn, requires physicians and other health professionals to enter data in a structured, ideally coded, way.