Reviving 30 Year Old Technology: Lessons Learned from Transferring Patient Data Using Data Matrix Codes.

Bar Codes Computer Software Application Electronic Medical Record

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
2019
Historique:
entrez: 4 4 2019
pubmed: 4 4 2019
medline: 31 8 2019
Statut: ppublish

Résumé

In patient care and medical research patient data often has to be transferred between different electronic systems. These systems can be very heterogeneous, sometimes even legacy systems, and thus, often do not support standardized interfaces for data transfer. Since nowadays barcode scanners are commonly used in clinical routine and smartphones are accessible to most patients, we implemented different interfaces based on Data Matrix codes to transfer patient data between several medical applications. Objective of this work is to show different use cases in which Data Matrix codes have been successfully applied and discuss the lessons we have learned during the process of implementation and practical usage.

Identifiants

pubmed: 30942721

Types de publication

Journal Article

Langues

eng

Pagination

90-94

Auteurs

Tobias Johannes Brix (TJ)

Institute of Medical Informatics, University of Münster, Germany.

Philipp Neuhaus (P)

Institute of Medical Informatics, University of Münster, Germany.

Michael Storck (M)

Institute of Medical Informatics, University of Münster, Germany.

Iñaki Soto-Rey (I)

Institute of Medical Informatics, University of Münster, Germany.

Martin Dugas (M)

Institute of Medical Informatics, University of Münster, Germany.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH