Planned data in healthcare

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Project

A Vinnova-funded (2023-2028) public–private collaboration aimed at demonstrating solutions that support the transition of healthcare from intervention-based care to continuous health management along the patient trajectory.

The project is based on preplanning data around locally developed healthcare processes. Once a workflow is defined, data collection can be fully structured and reused across EMRs, quality registries, and clinical research protocols. Better information service layer promotes interprofessional interoperability and patient participation.

Project Screenshot

Background

Semantic interoperability enables healthcare systems to share and understand data consistently, ensuring information keeps its meaning across settings. This is essential for outcomes-driven services, where accurate, comparable data is required to measure results, improve care quality, and drive evidence-based decisions. It is a foundation in the drive for personalized/precision medicine.

Subprojects

Subproject 1

Specialty level healthcare with concomitant processes for collecting the correct information for better clinical management, EMR documentation, reporting to quality registry, clinically embedded observational research. More than 800 patients have participated. Partners: Region Västra Götaland, Swedish Airway Quality Registry, Cambio, Karolinska Institutet.

Subproject 2

Distributed support for patients with rare diseases. The development of standard information models for support of self management in rare diseases gives an opportunity to develop assistance for correct management of the disease in question across national borders. A forceful application of known standards and principles of semantic interoperability simplifies the development of real-time support and quality control. Partners: SOBI/FLORI, Karolinska Institutet.

Subproject 3

Patient self-monitoring is highly desired by patients and providers. The current legislation and technical shortcomings of available information systems has resulted in a wide spread development of monoliths. While being excellent within diagnosis and data-stream they are becoming expensive and difficult to maintain from healthcare. The project aims at understanding the general requirements and real world test of the developed theories. Partners: Region Uppsala, Medituner AB, Cambio, Astma Allergi Förbundet.

Subproject 4

Secondary prevention in heart disease could possibly diminish further morbidity and improve quality of life. The ability to follow patients following the first year is low due to care structure and the low priority for immediate action in primary care. We have developed a simple administrative routine for calculating the need to meet the patient based on quality registry data. We now aim to connect this routine to secondary prevention support in primary health care. Partners: Region Uppsala, Karolinska Institutet, Novartis. Other partners will join.

Highlighted Principles

Common to all activities are the following:

Local Planning Tools

Planning of care must be done with locally available tools

Real-time Principles

Preplanning of data allows for real time principles in feedback

Avoid Post-organisation

Avoid post-organisation of data due to costs and risk of errors

Standards Compatibility

Always be prepared for Open EHR, FHIR and OMOP compatibility

Partners

The PDHC project is the result of collaboration between several organizations in healthcare, academic institutions, and industry.

Document

About Prototype 3.3

Prototype 3.3 represents a comprehensive healthcare workflow management system designed to support the transition from intervention-based care to continuous health management. The system implements an 8-step workflow for creating and managing patient pathways, from concept definition through care plan creation, dispatch, and provider responses.

Built on FHIR R5 standards, the platform enables semantic interoperability across healthcare systems, supporting structured data collection that can be reused across EMRs, quality registries, and clinical research protocols. The system includes role-based access control, API key management, and comprehensive documentation for users, developers, and administrators.

Comprehensive documentation is available for download below. All documents are provided as direct downloads and do not require login or API key access.

User Manual

Detailed guide for using the platform, including workflow descriptions and step-by-step instructions for all 8 workflow steps.

Download User Manual

Technical Documentation

Technical documentation for developers, including API reference, database structure and integration guides.

Download Technical Guide

Deployment Guide

Step-by-step instructions for deploying the platform to cloud environments, including Docker setup and configuration.

Download Deployment Guide

Prototype Summary

Overview of Prototype 3.3 features, capabilities, and development status.

Download Summary

Presentations

Presentations and demonstration materials from the project.

Coming soon: Presentation materials will be added here when available.

Contact

Project Lead

Professor Martin Ingvar, MD, PhD

Karolinska Institutet

Martin.ingvar@ki.se

+46 70 484 12 47

Disclaimers

GDPR Compliance

All data handling follows GDPR (General Data Protection Regulation) standards and regulations. Personal data is handled in accordance with applicable data protection legislation.

Important Information

This platform is a prototype (version 3.3) and is intended for development and testing purposes.

Terms of Use

  • The platform may only be used for development and testing purposes
  • No sensitive patient data should be handled in the prototype
  • Users are responsible for complying with applicable data protection regulations (GDPR)
  • The platform is provided "as is" without warranties

Data Protection

All data handling follows GDPR regulations. For more information about how we handle personal data or to exercise your rights under GDPR, please contact the project team.