Integration of real-world clinical data into the Munich Mental Health Biobank – clinical and scientific potential and challenges
Introduction New insights into the pathophysiology of mental disorders and innovations in psychiatric care depend on the availability of representative, longitudinal and multidimensional datasets across diverse, transdiagnostic populations. Biobanks usually attempt to collect such data in parallel...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2022-06-01
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| Series: | European Psychiatry |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933822014559/type/journal_article |
| _version_ | 1797617441711325184 |
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| author | J. Kálmán G. Burkhardt O. Pogarell F. Padberg T. Schulze P. Falkai |
| author_facet | J. Kálmán G. Burkhardt O. Pogarell F. Padberg T. Schulze P. Falkai |
| author_sort | J. Kálmán |
| collection | DOAJ |
| description |
Introduction
New insights into the pathophysiology of mental disorders and innovations in psychiatric care depend on the availability of representative, longitudinal and multidimensional datasets across diverse, transdiagnostic populations. Biobanks usually attempt to collect such data in parallel to clinical routine, which is resource-intensive, puts additional burden on health-care providers, and may reduce the generalizability of the results. Despite containing rich phenotypic and biological information, data generated in routine clinical care is seldomly used for research purposes, because it is usually unstructured and locked in data silos. To truly link clinical practice and research, solutions that optimize the generation and scientific utilization of real-world clinical data are needed.
Objectives
Evaluation of a new digital infrastructure which warrants the efficient, automatized, and structured collection of real-world data in psychiatric care, and integrates the generated data into existing biobanking efforts.
Methods
We have developed a new documentation system which augments the existing IT-structures, enables the collection of routine clinical data in a structured format and involves patients in the data generation process. In an implementation science approach, to replicate and extend the findings of Blitz et al. (JMIR Ment Health 2021), we are investigating the acceptance, efficacy, and safety of the system in our outpatient clinic for affective disorders.
Results
First results describing the technical safety, usage metrics, and acceptance of the system, and the quality of the collected data will be presented.
Conclusions
Challenges of collecting real-world data for biobanking and research purposes and perspectives on future digital solutions will be discussed.
Disclosure
No significant relationships.
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| first_indexed | 2024-03-11T07:56:01Z |
| format | Article |
| id | doaj.art-c38c5ecb438f4ed38861601d834ea079 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-03-11T07:56:01Z |
| publishDate | 2022-06-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-c38c5ecb438f4ed38861601d834ea0792023-11-17T05:05:48ZengCambridge University PressEuropean Psychiatry0924-93381778-35852022-06-0165S568S56810.1192/j.eurpsy.2022.1455Integration of real-world clinical data into the Munich Mental Health Biobank – clinical and scientific potential and challengesJ. Kálmán0G. Burkhardt1O. Pogarell2F. Padberg3T. Schulze4P. Falkai5University Hospital, LMU Munich, Department Of Psychiatry And Psychotherapy, Munich, GermanyUniversity Hospital, LMU Munich, Department Of Psychiatry And Psychotherapy, Munich, GermanyUniversity Hospital, LMU Munich, Department Of Psychiatry And Psychotherapy, Munich, GermanyUniversity Hospital, LMU Munich, Department Of Psychiatry And Psychotherapy, Munich, GermanyUniversity Hospital, LMU Munich, Institute Of Psychiatric Phenomics And Genomics, Munich, GermanyUniversity Hospital, LMU Munich, Department Of Psychiatry And Psychotherapy, Munich, Germany Introduction New insights into the pathophysiology of mental disorders and innovations in psychiatric care depend on the availability of representative, longitudinal and multidimensional datasets across diverse, transdiagnostic populations. Biobanks usually attempt to collect such data in parallel to clinical routine, which is resource-intensive, puts additional burden on health-care providers, and may reduce the generalizability of the results. Despite containing rich phenotypic and biological information, data generated in routine clinical care is seldomly used for research purposes, because it is usually unstructured and locked in data silos. To truly link clinical practice and research, solutions that optimize the generation and scientific utilization of real-world clinical data are needed. Objectives Evaluation of a new digital infrastructure which warrants the efficient, automatized, and structured collection of real-world data in psychiatric care, and integrates the generated data into existing biobanking efforts. Methods We have developed a new documentation system which augments the existing IT-structures, enables the collection of routine clinical data in a structured format and involves patients in the data generation process. In an implementation science approach, to replicate and extend the findings of Blitz et al. (JMIR Ment Health 2021), we are investigating the acceptance, efficacy, and safety of the system in our outpatient clinic for affective disorders. Results First results describing the technical safety, usage metrics, and acceptance of the system, and the quality of the collected data will be presented. Conclusions Challenges of collecting real-world data for biobanking and research purposes and perspectives on future digital solutions will be discussed. Disclosure No significant relationships. https://www.cambridge.org/core/product/identifier/S0924933822014559/type/journal_articledigitalizationbiobankreal-world dataaffective disorders |
| spellingShingle | J. Kálmán G. Burkhardt O. Pogarell F. Padberg T. Schulze P. Falkai Integration of real-world clinical data into the Munich Mental Health Biobank – clinical and scientific potential and challenges European Psychiatry digitalization biobank real-world data affective disorders |
| title | Integration of real-world clinical data into the Munich Mental Health Biobank – clinical and scientific potential and challenges |
| title_full | Integration of real-world clinical data into the Munich Mental Health Biobank – clinical and scientific potential and challenges |
| title_fullStr | Integration of real-world clinical data into the Munich Mental Health Biobank – clinical and scientific potential and challenges |
| title_full_unstemmed | Integration of real-world clinical data into the Munich Mental Health Biobank – clinical and scientific potential and challenges |
| title_short | Integration of real-world clinical data into the Munich Mental Health Biobank – clinical and scientific potential and challenges |
| title_sort | integration of real world clinical data into the munich mental health biobank clinical and scientific potential and challenges |
| topic | digitalization biobank real-world data affective disorders |
| url | https://www.cambridge.org/core/product/identifier/S0924933822014559/type/journal_article |
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