Literature DB >> 29726429

Development of a Protocol for Automated Glucose Measurement Transmission Used in Clinical Decision Support Systems Based on the Continua Design Guidelines.

Markus Meyer1, Klaus Donsa1, Thomas Truskaller1, Matthias Frohner2, Birgit Pohn2, Alexander Felfernig3, Frank Sinner1, Thomas Pieber1.   

Abstract

BACKGROUND: A fast and accurate data transmission from glucose meter to clinical decision support systems (CDSSs) is crucial for the management of type 2 diabetes mellitus since almost all therapeutic interventions are derived from glucose measurements.
OBJECTIVES: Aim was to develop a prototype of an automated glucose measurement transmission protocol based on the Continua Design Guidelines and to embed the protocol into a CDSS used by healthcare professionals.
METHODS: A literature and market research was performed to analyze the state-of-the-art and thereupon develop, integrate and validate an automated glucose measurement transmission protocol in an iterative process.
RESULTS: Findings from literature and market research guided towards the development of a standardized glucose measurement transmission protocol using a middleware. The interface description to communicate with the glucose meter was illustrated and embedded into a CDSS.
CONCLUSION: A prototype of an interoperable transmission of glucose measurements was developed and implemented in a CDSS presenting a promising way to reduce medication errors and improve user satisfaction.

Entities:  

Keywords:  Clinical Decision Support Systems; Medication Errors; Mobile Health; Standardization; Type 2 Diabetes Mellitus

Mesh:

Substances:

Year:  2018        PMID: 29726429

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Concordance Study Between IBM Watson for Oncology and Real Clinical Practice for Cervical Cancer Patients in China: A Retrospective Analysis.

Authors:  Fang-Wen Zou; Yi-Fang Tang; Chao-Yuan Liu; Jin-An Ma; Chun-Hong Hu
Journal:  Front Genet       Date:  2020-03-24       Impact factor: 4.599

2.  A thematic analysis to examine the feasibility of EHR-based clinical decision support for implementing Choosing Wisely ® guidelines.

Authors:  Brian J Douthit; Catherine J Staes; Guilherme Del Fiol; Rachel L Richesson
Journal:  JAMIA Open       Date:  2021-06-16
  2 in total

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