Accuracy of a computerized clinical decision-support system for asthma assessment and management

Hoeksema, Laura; Bazzy‐Asaad, Alia; Lomotan, Edwin A.; Edmonds, Diana; Ramírez-Garnica, Gabriela; Shiffman, Richard N.; Horwitz, Leora I.

doi:10.1136/amiajnl-2010-000063

Cited by 39 publications

(40 citation statements)

References 26 publications

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“…Computerized asthma decision support systems delivered through an EHR can be helpful in adhering to asthma guidelines [16]- [20]. Most of these decision support systems are limited, however, to one or two aspects of the asthma guidelines.…”

Section: Related Workmentioning

confidence: 99%

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Translating Effective Paper-Based Disease Management into Electronic Medical Systems

Cloutier

2014

2014 IEEE International Conference on Healthcare Informatics

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We developed an innovative approach to computerize and integrate a previously-validated but paper-based asthma disease management program into an electronic medical systems. Asthma is the leading chronic disease of children and currently affects about 6.2 million (8.5%) children in the United States. National Asthma Education and Prevention Program (NAEPP) Guidelines recommend a multimodal chronic care approach. However, both the 1997 and 2007 NAEPP guidelines have not been widely adopted by primary care clinicians. Easy Breathing c is a cost-effective, asthma management program that has improved the quality of pediatric and adult asthma care, but uses paper and pencil dictations that have not been translated to an electronic format. When practices transition to an electronic health record (EHR), a paper-based program becomes cumbersome for clinicians to use in their new clinical workflow. Although integrating Easy Breathing into practice-based EHRs is most desirable, it is expensive and technically difficult as EHRs are proprietary and are the greatest barriers to continued use of the validated paper-based program. In this paper, we describe an informatics and software development model that translates Easy Breathing into a web-based system. This system is ready for integration into payer-provider web portals, such as the portals of Medicare/Medicaid vendors or private insurance companies. The availability of such a software system will allow clinicians to test the feasibility of using non-practice-based electronic systems that cut across different EHRs to integrate effective paperbased disease programs. Our preliminary evaluation with a few healthcare professionals demonstrates that the resulting software is a streamlined and effective tool. Future clinical studies will be needed for system evaluation at the point of patient care.

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Section: Related Workmentioning

confidence: 99%

“…The EHR implementation via the framework for a different disease may not be optimal. A comprehensive CDS system [16], [17] was developed by a multidisciplinary team at Yale University based on the NAEPP guidelines. This system was not targeted for use by PCPs and was only evaluated in a pediatric pulmonary clinic.…”

Section: Related Workmentioning

confidence: 99%

Translating Effective Paper-Based Disease Management into Electronic Medical Systems

Cloutier

2014

2014 IEEE International Conference on Healthcare Informatics

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“…It should be noted that the clinical decision support systems can offer great precision in managerial carefulness (Hoeksema et al [22] ).…”

Section: Decision Supportmentioning

confidence: 99%

“…Asthma oriented advice decision support systems may be employed during the critical care (Hoeksema et al [22] ; Tierney et al, [23] ). It should be noted that the clinical decision support systems can offer great precision in managerial carefulness (Hoeksema et al [22] ).…”

Section: Decision Supportmentioning

confidence: 99%

Knowledge Management in Health Care Sectors

Sharma

2106

IJCHMR

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“…However, in recent years most great achievements have been made in the applications of diagnosis decision support service for some specific diseases since many specific diseases have their own standard diagnostic processes and therapeutic criterions so it will be easier to make these traditionally manual processes automated. For example, Hoeksema, Bazzy-Asaad, Lomotan, Edmonds, Ramírez-Garnica, Shiffman and Horwitz [22] point out that the clinical decision support service has been proposed as a promising approach to improve guideline-based care for the treatment of pediatric asthma. This system can provide many useful assessments of impairment, risk, control, severity, and generated treatment recommendations for new patients according to the guidelines for the treatment of pediatric asthma created by the National Asthma Education and Prevention Program in the United States.…”

Section: Related Workmentioning

confidence: 99%

Literature Recommendation to Support Clinical Diagnostic Decision — An Approach Based on Link Analysis in the Weighted Keywords Network

Sun¹

2015

IJKE

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Abstract-We present an approach of selecting medical literature for the purpose of supporting clinical diagnostic decision. The proposed approach is based on link analysis in the weighted keywords network. The keywords in the network are extracted from the keywords lists in the articles, the Mesh lexicon and acronyms, with which the full relation of keywords and articles (the link network) is built. In this paper we introduced in details how to extract the collection of valid sentences and diagnosis-related keywords based on the keywords co-occurrence analysis and existing description of symptoms. The paper also lays out the detailed process of measuring the relevance between keywords and articles with link analysis in the weighted keywords network. Finally, we report some related experiments and the results of user evaluations.Index Terms-Clinical decision support, link analysis, weighted keyword network, medical information retrieval.

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Accuracy of a computerized clinical decision-support system for asthma assessment and management

Abstract: A computerized CDSS performed relatively accurately compared to clinicians for assessment of asthma control but was inaccurate for treatment. Pediatric pulmonologists failed to follow guideline-based care in a small proportion of patients.

Cited by 39 publications

References 26 publications

Translating Effective Paper-Based Disease Management into Electronic Medical Systems

Translating Effective Paper-Based Disease Management into Electronic Medical Systems

Knowledge Management in Health Care Sectors

Literature Recommendation to Support Clinical Diagnostic Decision — An Approach Based on Link Analysis in the Weighted Keywords Network

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