Introduction
This page discusses the question of evaluating e-health standards for longevity.
Over the last 20 years many attempts have been made to solve the wicked problem of health data interoperability, and more recently, ‘semantic’ versions of the same. The problem to be solved is essentially:
- semantic interoperability across and within enterprises,
- semantic interoperability between layers of functionality within a system,
- with an ultimate aim of being able to compute intelligently on the data
A much larger list of concrete needs can be constructed from this abstract description. Solving these challenges would result in great advances for:
- shared care, community care, since health records can be not just shared but treated as a single point of truth
- individualised, preventive medicine, since semantically computable EHR data are amenable to automated evaluation of clinical guidelines
- medical research, since data would be far more computable, and more data per patient could be aggregated from multiple sources
- public health, since aggregation of computable data of large numbers of patients will clearly enable epidemiological functions as well as routine health statistics
- cost determination, re-imbursement, fraud detection and better management of public and private payer funds.
Source: Desiderata for successful e-health standards | Woland’s cat