Fundamental elements identified for success of disease state management clinical decision support systems

Paulina Stehlik*, Amirhossein Bahmanpour, Y. Ahmet Sekercioglu, Peteris Darziņš, Jennifer L. Marriott

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Traditional forms of communicating best practice disease state management do not adequately support appropriate prescribing in patients with complex needs, such as those with multi-morbidities or aged patients. An effective solution is the use of clinical decision support systems; however, currently available systems do not meet the needs of health professionals (HPs). We wished to evaluate whether HPs find the way in which an early-stage prototype delivers information is useful; however, during prototype development, articles defining fundamental elements of clinical decision support systems (CDSS) success, process model and data requirements were found to be widely dispersed and lacking. We describe a new CDSS prototype for healthcare information delivery tailored for health professional using the identified fundamental elements for success. Concepts described in this article could be used to as the foundation for other CDSS and to inform electronic medical record design.

Original languageEnglish
Article numbere6
JournalElectronic Journal of Health Informatics
Volume9
Issue number1
Publication statusPublished - 2015
Externally publishedYes

Fingerprint Dive into the research topics of 'Fundamental elements identified for success of disease state management clinical decision support systems'. Together they form a unique fingerprint.

Cite this