Step #1: Leverage data to identify care gaps
First and foremost, provider groups must have a holistic understanding of their patient population’s risk profile. For this, demographic information, medical history and other risk factors should be pulled from multiple data sources, including claims data, medical data and pharmacy data.
After you gather a comprehensive set of patient data, you can then leverage analytics technology to accomplish the following:
- Identify missed preventative screenings
- Pinpoint gaps in data for specific member segments, such as for members new to the health plan or Medicare
- Surface potential chronic conditions that are not diagnosed or documented yet by using machine learning and natural language processing capabilities
An effective care gap identification tool should provide reliable evidence of any suspected conditions so that the provider can address them during the visit and close these care gaps.
Leveraging data effectively helps create and inform targeted interventions. This paves the way to high quality, patient-centered care while prioritizing care for the patients that need it the most.