Enhancing Healthcare Data Integrity with ServiceNow Cloud and AI-Blockchain Integration

Accurate data is essential in modern healthcare, necessitating innovative strategies for data integrity. Patient health depends on reliable clinical data from healthcare entities. Current approaches prioritize confidentiality and availability, neglecting data integrity. Enhancing patient trust in clinical data integrity can improve evaluations of data-generating processes. Medical malpractice lawsuits can harm patient-physician relationships and lead to inconsistent records, causing data disputes. While recording interactions may help, US law restricts recordings of malpractice claims due to confidentiality. Such recordings must be sealed for twenty years and are seldom reviewed, resulting in inaccurate estimates. This paper advocates for the integrity of digitally recorded medical interactions for medico-legal purposes and assesses data integrity mechanisms’ health efficacy. It reviews managing recorded medical data and proposes three methods for real-time hospital recording and auditing. Objectives include developing genomics-based precision medicine, nationwide protocol detection, care assessment, litigation analysis, and privacy consent audits, although innovations have largely failed to yield actionable results.