Learning Health Care System Toolbox (LHS-toolbox)
Learning Healthcare System (LHS) is an emerging paradigm that promotes reuse of electronic health data collected in clinical practice to generate knowledge and fast feedback to the clinicians in form of guidelines and decision support.
This project aims to create a LHS infrastructure that provides the healthcare service with a holistic view of patient care using data collected in hospitals, GP offices, and homecare (clinical perspective). In addition, we propose patient self-reported profiles, representing personal health-related goals, outcomes, preferences and experiences (patient-reported perspective). Minimizing potential gaps between the two perspectives is the main goal of the project.
The project is structured as a loop, starting with extraction of clinical practice and patients` reporting. Data analysis and visualization enables comparison of the clinical and patient perspectives of health. The discovered trends are presented to focus groups of clinical experts for qualitative evaluation, then fed back to clinical practice, starting a new iteration, refining the models from the previous one.
The proposal combines the experiences from a number of ongoing research initiatives: distributed extraction and processing of healthcare data, secure multiparty computation, archetype-based modeling and transformation, development of collaboration mechanisms within healthcare. National and international experts are putting together their effort and knowledge to develop an innovative healthcare system in Norwegian municipalities.
The project serves as a pilot study, evaluating the response of the current healthcare services to the novel paradigms. It delivers the premises for implementing LHS on a national scale.
Primary objective of the project is to minimize the potential gap between clinical perspective of health and patients health-related goals, outcomes, preferences and experiences.
Secondary objectives are:
1) Develop infrastructure providing the clinicians with a holistic view of the patient health status, based on data collected in hospitals, GP offices, homecare and patient self-reporting.
2) Evaluate the usefulness of the provided information and its potential to deliver patient-centered healthcare.
3) Assess the potential differences between clinical and patient-reported perspectives of health.
4) Measure the response of the healthcare service to the provided knowledge.
5) Use the experience to support designs for future learning healthcare systems - learning tools.
- Freshehr Clinical Informatics Ltd
- Ocean Informatics UK Ltd
- Cambio Healthcare Systems
- NASJONAL IKT HF
- University of Auckland
- Universitat Politècnica de València
- Dr Furst Medisink Laboratorium AS
- MEDRAVE Software AS
- DIPS ASA
- Universidad de Sevilla
- Marand d.o.o.
- Department of Clinical Medicine, UiT – the Arctic University of Norway
- Department of Methematics and Statistics, UiT – the Arctic University of Norway
- University of Agder
The project is funded by a grant from the Research Council of Norway to the Norwegian Centre for e-health Research, University Hospital of North Norway. Grant number 248150/O70.
 Andrius Budrionis, Luis Marco Ruiz, Kassaye Yitbarek Yigzaw, and Jonan Gustav Bellika, “Building a Learning Healthcare System in North Norway,” in Proceedings from The 14th Scandinavian Conference on Health Informatics 2016, Gothenburg, Sweden, 2016.
 Andrius Budrionis, Johan Gustav Bellika, "The Learning Healthcare System: Where are we now? A systematic review", Journal of Biomedical informatics [Accepted for publication]
Siden er sist oppdatert 20.06.2017