Healthcare data is available in large number with organizations. But sorting out the most effective data from these Big Data is a tedious task for Providers. Since each objective requires different data. Providers who wish to succeed with Population Health Management should gather Healthcare Data based on following the type of information.
Claims Data
Claims Healthcare Data 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.
Claims data is standardized, structured, complete, and easily available. But it is old, misses important clinical details but only billable aspects.
Electronic Health Record (EHR) Data
Want to publish your own articles on DistilINFO Publications?
Send us an email, we will get in touch with you.
EHR Healthcare 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 as well as vital signs, medications, allergies, imaging reports, lab data, and immunization dates.
It is unstructured and unprocessed data that may result in weakening of the integrity of data.
Social and community determinants of health
Socioeconomic healthcare data and information are very crucial for PHM without which providers will not be able to tell the full story of their patients.
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)
The main sources of PGHD are surveys, PRO’s, patient portal, I0T, etc. This kind of unstructured healthcare data can be difficult to streamline for providers.
The reason for this is all patients do not require around-the-clock monitoring and many individuals will not require constant attention to their sleep patterns, heart rate data, and exercise regimes in order to remain healthy. Thus taking a broader view of PHM, the value of PGHD is still being explored by the data analytics team.
Prescription and Medication Adherence Data
Pharmacy and prescription healthcare data are valuable for PHM as medication non-adherence, intentional or otherwise, is the root cause of many chronic disease management issues.
In other terms, it is a combination of socioeconomic data predicting financial issues, pharmacy access, patient-generated responses for prescribed therapies and EHR and Claims data providing prescription rates and associated diagnosis.
There is a high need to invest in comprehensive healthcare data for PHM platforms.
Date: June 23, 2017
