A Novel Approach to Measure and Predict Digital Health Data Protection Compliant (DPC)

Many health institutions and government agencies have struggled to combat the challenges of digital health data protection. A prevailing issue with current strategies to effectively counter this threat is their incapacity to provide robust digital health data protection mechanisms. To varying degrees, the obstacles hinge significantly on the quality of IT infrastructure, regulatory frameworks, healthcare practices, proper data governance, and ethical frameworks underpinned by four principles: respect for persons, data fairness, privacy, and accountability. Thus, we have approached these challenges utilising a risk-based prioritisation framework. Our proposed contribution involves scientific observations and measurements derived from data analysis, as well as modelling and design of algorithms and systems that can be employed in digital health data protection, based on six identified domains or pillars of technology, cybersecurity, digital health data governance, data protection legislation, policies, and risk assessment, in the novel approach of measuring and forecasting compliance with digital health data protection.