Effective population health management depends on accessing and analyzing certain types of healthcare data. Selecting right information from the huge amount of data is crucial for population health management. Here is the most important type of information to be selected for it.
Claims Data
Claims data is standardized, structured, complete, and easily available.
It includes patient demographics, diagnosis codes, dates of service, and the cost of services in short the basics of who their patients are, which concerns they are facing, and how much they cost to treat. Most patients use one payer for their clinical care needs, so it will likely represent the entire scope of their utilization.
But Claims data is many times old and doesn’t include many important data.
Electronic Health Record (EHR) Data
EHR data contains information that is coded for reimbursement, details about the process of care, provider impressions of their patients, and volunteered patient concerns that may not have resulted in diagnoses. They also include vital signs, medications, allergies, imaging reports, lab data, and immunization dates.
EHR data is unstructured and unprocessed data that can’t be analyzed for population health management.
Social And Community Determinants Of Health
Socioeconomic data and information about the social determinants of health are extraordinarily rich resources for population health management.
It consists of community and social traits, such as average incomes, English proficiency, local healthy food choices, violence rates, transportation access, unemployment rates, and education levels.
Patient-Generated Health Data (PGHD)
PGHD is available from surveys, PRO’s, patient portal, I0T and lot of other sources. Making use of these largely unstructured datasets can be difficult to streamline for providers.
While some high-risk patients may benefit from around-the-clock monitoring, most individuals will not require constant attention to their sleep patterns, heart rate data, and exercise regimes in order to remain healthy.
For data analytics teams taking a broader view of population health, the value of PGHD is still being explored.
Prescription And Medication Adherence Data
Medication non-adherence, intentional or otherwise, is at the root of many chronic disease management issues, which makes pharmacy and prescription data highly valuable for population health management.
It is a combination of all the above-mentioned data types.
There is a high need to invest in comprehensive population health management platforms that can generate actionable insights from multiple data sources
Date: June 12, 2017