EHR-ng is a new approach to EHR-systems.
There is no code yet. Just ideas!
In no particluar order of seriousness:
- Monolithic systems.
- Data hoarding systems. No simple export or import of data.
- Bad or poor API:s. Poor support for systems integration.
- Expensive licenses. Customers pay for both licenses and development.
- Huge and complex standards that are difficult and seldome fully implemented.
- Tight integration of health care process data and features with EHR data and features.
- No clear separation of communication between health care professionals and EHR data. Communication often stored in EHR.
- Based on the assumption that the healthcare provider "owns" the EHR, not the patient.
- No modern UX and usability design.
The core principles:
- The patient owns the EHR-data.
- EHR-data is the most valuable asset of the system.
- Separate the EHR-data from health care process data, and communication between health care professionals.
- EHR-data should be seen as a time log of events; a journal.
- Conserve integrety and traceability of changes to EHR-data.
Note: By health care process data is meant, among other things, information on health care units and organisation, status of patient treatment in health care flow, bookings, invoices etc.
Technical principles:
- Data-centric design.
- Distributed by design.
- No technical or data dependencies between different peoples EHR-data.
- Separate persistance and integrity of EHR-data from presentation of and features on EHR-data.
- Standards used must be open, free, simple and have open-source reference implementations.
- It should be easy for third party providers to develop and provide tools and servcies for manipulating EHR-data.
- Blockchain.
- C API for accessing EHR-data.
- Command line tools for accessing and manipulating EHR-data.
- Mobile app
- Webb app
- Microservices for core data sets
Note: All data should be seen as being entered on a time line; a journal!
- Personal core characteristics; birth date, weight, length, sex, blood type, etc.
- Personal characteristics; allergies, etc.
- Personal comments on health.
- Measurement based data and calculated characteristics; age, BMI, blood pressure, etc.
- Medication data.
- Vaccination data.
- Lab-based data and calculated characteristics; blood samples, renal clearance, etc.
- Image based data; radiography, magnetic resonance imaging, ultrasound, photoacoustic imaging, magnetic particle imaging, etc.
- Diagnostics by medical professionals.
- Comments by medicial professionals.
- Recommended treatment and instructions by medical professionals.