• Bridging health registry data...

Treffer: Bridging health registry data acquisition and real-time data analytics.

Title:
Bridging health registry data acquisition and real-time data analytics.
Authors:
Schmidt J; Bonacci GmbH, Cologne, Germany., Arjune S; Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.; Center for Rare Diseases Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), Cologne, Germany., Boehm V; Institute for Genetics, University of Cologne, Cologne, Germany., Grundmann F; Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany., Müller RU; Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.; Center for Rare Diseases Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), Cologne, Germany., Antczak P; Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.; Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), Cologne, Germany.
Source:
Frontiers in medicine [Front Med (Lausanne)] 2024 Dec 18; Vol. 11, pp. 1430676. Date of Electronic Publication: 2024 Dec 18 (Print Publication: 2024).
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
Imprint Name(s):
Original Publication: Lausanne, Switzerland : Frontiers Media S.A., [2014]-
References:
EJIFCC. 2011 Jul 20;22(2):52-4. (PMID: 27683391)
Biol Res Nurs. 2023 Jan;25(1):107-116. (PMID: 36029021)
Res Synth Methods. 2019 Dec;10(4):569-581. (PMID: 31349391)
JAMIA Open. 2023 Jan 06;6(1):ooac109. (PMID: 36632327)
Healthc Inform Res. 2017 Oct;23(4):349-354. (PMID: 29181247)
J Biomed Inform. 2022 Mar;127:104009. (PMID: 35196579)
J Biomed Inform. 2011 Dec;44(6):943-7. (PMID: 21763459)
Appl Clin Inform. 2024 Mar;15(2):234-249. (PMID: 38301729)
Cureus. 2022 Nov 11;14(11):e31355. (PMID: 36514654)
JMIR Med Inform. 2022 Jul 19;10(7):e35724. (PMID: 35852842)
BMC Med Educ. 2023 Sep 22;23(1):689. (PMID: 37740191)
IEEE Trans Vis Comput Graph. 2021 Feb;27(2):689-699. (PMID: 33048727)
Contributed Indexing:
Keywords: cohort; database; healthcare; shiny; visualisation
Entry Date(s):
Date Created: 20250110 Latest Revision: 20250111
Update Code:
20250111
PubMed Central ID:
PMC11716499
DOI:
10.3389/fmed.2024.1430676
PMID:
39790555
Database:
MEDLINE

Weitere Informationen

The number of clinical studies and associated research has increased significantly in the last few years. Particularly in rare diseases, an increased effort has been made to integrate, analyse, and develop new knowledge to improve patient stratification and wellbeing. Clinical databases, including digital medical records, hold significant amount of information that can help understand the impact and progression of diseases. Combining and integrating this data however, has provided a challenge for data scientists due to the complex structures of digital medical records and the lack of site wide standardization of data entry. To address these challenges we present a python backed tool, Meda, which aims to collect data from different sources and combines these in a unified database structure for near real-time monitoring of clinical data. Together with an R shiny interface we can provide a near complete platform for real-time analysis and visualization.
(Copyright © 2024 Schmidt, Arjune, Boehm, Grundmann, Müller and Antczak.)

JS was employed by Bonacci GmbH. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.