A guideline-based decision support for pharmacological treatment can improve the quality of hyperlipidemia management

Chen, Chiehfeng; Chen, Kung; Hsu, Chien‐Yeh; Chiu, Wen-Ta; Li, Yu-Chuan

doi:10.1016/j.cmpb.2009.12.004

Cited by 23 publications

(28 citation statements)

References 16 publications

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“…Numerous medical institutions suggest that physicians use paper-based clinical guidelines; however, those that are paper based are inconvenient and time consuming to read, and fail to help physicians making clinical decisions in a timely manner. To address the problems mentioned, computerized CPGs were developed, implemented, and integrated into existing hospital information systems (HIS) or electronic medical record (EMR) systems by selected Taiwanese hospitals [ 6 ]. Although it was confirmed that computerized CPG use significantly improves the process of care [ 16 ], the development of computerized CPGs in Taiwan is still at the early stage and acceptance level among major users (physicians) of computerized CPGs is not satisfactory.…”

Section: Introductionmentioning

confidence: 99%

Critical factors influencing physicians’ intention to use computerized clinical practice guidelines: an integrative model of activity theory and the technology acceptance model

Hsiao

Chen

2015

BMC Med Inform Decis Mak

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BackgroundWith the widespread use of information communication technologies, computerized clinical practice guidelines are developed and considered as effective decision supporting tools in assisting the processes of clinical activities. However, the development of computerized clinical practice guidelines in Taiwan is still at the early stage and acceptance level among major users (physicians) of computerized clinical practice guidelines is not satisfactory. This study aims to investigate critical factors influencing physicians’ intention to computerized clinical practice guideline use through an integrative model of activity theory and the technology acceptance model.MethodsThe survey methodology was employed to collect data from physicians of the investigated hospitals that have implemented computerized clinical practice guidelines. A total of 505 questionnaires were sent out, with 238 completed copies returned, indicating a valid response rate of 47.1 %. The collected data was then analyzed by structural equation modeling technique.ResultsThe results showed that attitudes toward using computerized clinical practice guidelines (γ = 0.451, p < 0.001), organizational support (γ = 0.285, p < 0.001), perceived usefulness of computerized clinical practice guidelines (γ = 0.219, p < 0.05), and social influence (γ = 0.213, p < 0.05) were critical factors influencing physicians’ intention to use computerized clinical practice guidelines, and these factors can explain 68.6 % of the variance in intention to use computerized clinical practice guidelines.ConclusionsThis study confirmed that some subject (human) factors, environment (organization) factors, tool (technology) factors mentioned in the activity theory should be carefully considered when introducing computerized clinical practice guidelines. Managers should pay much attention on those identified factors and provide adequate resources and incentives to help the promotion and use of computerized clinical practice guidelines. Through the appropriate use of computerized clinical practice guidelines, the clinical benefits, particularly in improving quality of care and facilitating the clinical processes, will be realized.

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Section: Introductionmentioning

confidence: 99%

Critical factors influencing physicians’ intention to use computerized clinical practice guidelines: an integrative model of activity theory and the technology acceptance model

Hsiao

Chen

2015

BMC Med Inform Decis Mak

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“…4 Similarly, CDS based on patient-specific factors can reduce prescribing of excessive doses and may improve the percentage of patients who reach cholesterol goals. [21][22][23] The same can also be seen with alerts which are customized by an institution to produce better alert sensitivity and specificity. 33,34 Improvement in prescribing can also be achieved when providers are given alternative medications based on possible indications to promote changing medication orders or given indication or problem lists and asked to indicate the reason for particular medications.…”

Section: Discussion Of Impacts Error Reductionmentioning

confidence: 99%

Systematic Review of Medical Informatics–Supported Medication Decision Making

Melton

2017

Biomedical Informatics Insights

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This systematic review sought to assess the applications and implications of current medical informatics–based decision support systems related to medication prescribing and use. Studies published between January 2006 and July 2016 which were indexed in PubMed and written in English were reviewed, and 39 studies were ultimately included. Most of the studies looked at computerized provider order entry or clinical decision support systems. Most studies examined decision support systems as a means of reducing errors or risk, particularly associated with medication prescribing, whereas a few studies evaluated the impact medical informatics–based decision support systems have on workflow or operations efficiency. Most studies identified benefits associated with decision support systems, but some indicate there is room for improvement.

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“…On this track, the Guideline Definition Language (GDL) [22] is a rule-based language that allows to directly reference openEHR archetypes and allows the seamless integration of CDSS modules with openEHR-based EHRs [23]. Both GDL and the openEHR Task Planning models are designed to run over openEHR compliant repositories and when the EHR contains data stored in format different from openEHR, a preprocessing stage can be performed for making it openEHR compliant [81].…”

Section: Linking Cigs To Datamentioning

confidence: 99%

“…For workflow semantics, several languages have also been proposed. In openEHR, the openEHR Task Plan uses ADL for specifying workflows [21], another language for CDS rules is the Guideline Definition Language developed by Chen et al [22,23]. In the CIGs realm, workflows have been traditionally represented using two main alternative approaches.…”

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confidence: 99%

What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper

Gatta

Vallati

Fernández-Llatas

et al. 2020

IJERPH

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In the age of Evidence-Based Medicine, Clinical Guidelines (CGs) are recognized to be an indispensable tool to support physicians in their daily clinical practice. Medical Informatics is expected to play a relevant role in facilitating diffusion and adoption of CGs. However, the past pioneering approaches, often fragmented in many disciplines, did not lead to solutions that are actually exploited in hospitals. Process Mining for Healthcare (PM4HC) is an emerging discipline gaining the interest of healthcare experts, and seems able to deal with many important issues in representing CGs. In this position paper, we briefly describe the story and the state-of-the-art of CGs, and the efforts and results of the past approaches of medical informatics. Then, we describe PM4HC, and we answer questions like how can PM4HC cope with this challenge? Which role does PM4HC play and which rules should be employed for the PM4HC scientific community?

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A guideline-based decision support for pharmacological treatment can improve the quality of hyperlipidemia management

Cited by 23 publications

References 16 publications

Critical factors influencing physicians’ intention to use computerized clinical practice guidelines: an integrative model of activity theory and the technology acceptance model

Critical factors influencing physicians’ intention to use computerized clinical practice guidelines: an integrative model of activity theory and the technology acceptance model

Systematic Review of Medical Informatics–Supported Medication Decision Making

What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper

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