Health Insurance Portability and Accountability Act (HIPAA) explicitly states the confidentiality protection on health information that any sharable EHRs system must legally comply with. Medical organizations tend to have confidential agreements with patients, which strictly forbid them to disclose any identifiable information of the patients. However, exchanging data across organizations is a non-trivial task because of the embodied potential for privacy intrusion. This data dissemination serves as a basis for prevention and diagnosis of a disease and other secondary purposes such as health system planning, public health surveillance, and generation of anonymized data for testing. Patients' Electronic Health Records (EHRs) are stored, processed, and transmitted across several healthcare platforms and among clinical researchers for on-line diagnostic services and other clinical research. From the usability perspective, the approach can be used to query datasets by clinical researchers, governmental or non-governmental organizations in monitoring health care and medical record services to improve quality of care and treatment. The approach is validated on an endoscopic reporting application based on openEHR and MST standards. Our technique also inhibits retrospective processing of data such as attacks by an adversary on a medical dataset using advanced computational methods to reveal Protected Health Information (PHI).
Vcds coding list pdf software#
The implemented toolkit combines software engineering technologies such as Java EE, RESTful web services, JSON Web Tokens to allow exchanging medical data in an unidentifiable XML and JSON format as well as restricting users to the need-to-know principle. The novelty of the proposed approach lies in avoiding the data de-identification process often used as a means of preserving patient privacy. This lets us handle clinical data queries directly and far more efficiently for both internal and external queries. To achieve this goal, we suggest refactoring the legacy EHR systems into autonomous MicroServices communicating by the unified techniques such as RESTFul web service. This paper takes up the problem of medical resource sharing through MicroService architecture without compromising patient privacy.
0 kommentar(er)
