In Search for Methods to Support Electronic Patient Recruitment in a Multi-ICU Clinical Trial.

In Search for Methods to Support Electronic Patient Recruitment in a Multi-ICU Clinical Trial.

Diesch, Katharina;Held, Jürgen;Kraus, Stefan;Kunze, Ulrich;Kraska, Detlef;Prokosch, Hans-Ulrich;
Studies in health technology and informatics 2019 Vol. 267 pp. 262-269
84
diesch2019instudies

Abstract

Antimycotics are substances to treat fungal infections, a frequent cause of death on intensive care units. It is of great importance to administer such drugs only to patients who actually need them, since the unnecessary application leads to the selection of multiresistent fungi, making future therapy more difficult, and represents a significant financial burden for the health care system. Within the scope of a prospective study, which analyses the premature discontinuation of the administration of unnecessary antifungal drugs, two software platforms for recruitment support were implemented and compared at the University Hospital Erlangen. Besides technical aspects, such as the necessary development time and query runtimes, their usability and user friendliness for the clinical users were compared. We found that the practical identification of patient cohorts is possible both with a full featured business intelligence application and with a low effort approach based on language constructs of the Arden Syntax. Furthermore, this pilot evaluation led to important insights related to the clinical documentation context and data quality issues. A comprehensive analysis of the clinical environment and documentation context is essential for the final decision on the tool to be used.

Citation

ID: 39704
Ref Key: diesch2019instudies
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
39704
Unique Identifier:
10.3233/SHTI190836
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet