Exploring Healthcare Patient Payer Data in Python

<p>Healthcare patient payer claims data contains insurance claim information for medical services such as PCP visits, emergency room visits, dental procedure, surgical procedures and more. The data contains sensitive patient information such as member insurance ID, details about healthcare services and procedures, insurance policy information as well as insurance coverage and patient responsibility costs. This data can be used for a variety of decision support use-cases in the healthcare space including reducing patient readmission rates, detecting fraud, and enforcing value-based care.</p> <p>With the rise of healthcare tech, the demand for anonymized healthcare data has increased as with it. Unlike many other types of data, payer claim data is protected by the Health Insurance Portability and Accountability act (HIPAA). This makes it difficult for many innovative health tech start ups to develop and innovate in the healthcare space. Synthetic payer claims data is a good option for small players in the space as it can enable companies to build out proofs of concepts (PoCs) without the hassle of acquiring sensitive patient data.</p> <p><a href="https://medium.datadriveninvestor.com/exploring-healthcare-patient-payer-data-in-python-894f680ef746">Read More</a></p>