Integrating Digital Healthcare – How Can Patient-Reported Outcomes Data Link Up?

Author(s)

Moderator: Beate Jahn, Dipl.-Math. oec. Dr.rer.soc.oec, Institute of Public Health, Medical Decision Making and HTA, Dep. of Public Health, Health Services Research and HTA, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria
Speakers: Noemi Kiss, MSc, Competence Center for Integrated Care, Austrian Public Health Insurance (ÖGK), Vienna, 9, Austria; Judit Simon, MD (Hons), BA, BSc, MSc, DPhil, FFPH, Department of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria; Günther Zauner, MSc, PhD, DWH Technical Solutions/Simulation Services, Vienna, Austria; Dina Jankovic, PhD, Centre for Health Economics, University of York, York, UK

In the increasingly digitalized healthcare sector, patient reported outcomes data have become easier to collect. Due to the rapid development of digital data collection through apps, much of this data exists in silos and is not linked with administrative data, clinical trials, or economic evaluations for maximum use of generated evidence. This forum aims to discuss opportunities and challenges with evidence generation from many unstructured data sources and lessons learned on how digital transformation may enhance importance of PROs in the decision making in the healthcare settings from a European perspective. The Austrian PRÖMs project aims to link point-of-care PROMs with administrative data for use in every day health care decision making at a patient, provider, and system level. The EUROSTARS 2 RB4.0 project focuses on combining patient level app data, registry data, clinical trials, and secondary claims data to improve the care of rheumatoid arthritis patients. The PECUNIA PROM-MH Compendium out of the European H2020 PECUNIA project describes to what extent it is possible to harmonize cost and outcome assessment methods and tools across Europe. This outcome tool provides an overview of the relevant PROMs and their linked meta-data in mental health for the purpose of choosing a suitable instrument for mental health economic evaluations. Finally, how the integration of in-app data collection linked to external primary care data could change economic evaluations for HTA will be explored drawing on lessons from the CODI project on evaluations of digital mental health interventions.

Conference/Value in Health Info

2022-11, ISPOR Europe 2022, Vienna, Austria

Code

117

Topic

Medical Technologies

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