Digital networks for laboratory data: Potentials, barriers and current initiatives
Ganslandt T, Neumaier M (2019)
Publication Type: Journal article
Publication year: 2019
Journal
Book Volume: 57
Pages Range: 336-342
Journal Issue: 3
Abstract
Medical care is increasingly delivered by multiple providers across healthcare sectors and specialties, leading to a fragmentation of the electronic patient record across organizations and vendor IT systems. The rapid uptake of wearables and connected diagnostic devices adds another source of densely collected data by the patients themselves. Integration of these data sources opens up several potentials: a longitudinal view of laboratory findings would close the gaps between individual provider visits and allow to more closely follow disease progression. Adding non-laboratory data (e.g. diagnoses, procedures) would add context and support clinical interpretation of findings. Case-based reasoning and disease-modelling approaches would allow to identify similar patient groups and classify endotypes. Realization of these potentials is, however, subject to several barriers, including legal and ethical prerequisites of data access, syntactic and semantic integration, comparability of items and user-centered presentation. The German Medical Informatics Initiative is presented as a current undertaking that strives to address these issues by establishing a national infrastructure for the secondary use of routine clinical data.
Authors with CRIS profile
Involved external institutions
Germany (DE)How to cite
APA:
Ganslandt, T., & Neumaier, M. (2019). Digital networks for laboratory data: Potentials, barriers and current initiatives. Clinical Chemistry and Laboratory Medicine, 57(3), 336-342. https://dx.doi.org/10.1515/cclm-2018-1131
MLA:
Ganslandt, Thomas, and Michael Neumaier. "Digital networks for laboratory data: Potentials, barriers and current initiatives." Clinical Chemistry and Laboratory Medicine 57.3 (2019): 336-342.
BibTeX: Download