A test ordering system with automated reminders for primary care based on practice guidelines

Bindels, Rianne; Clercq, P.A. de; Winkens, Ron; Hasman, Arie

doi:10.1016/s1386-5056(00)00089-7

Cited by 20 publications

(11 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The overall agreement in the ® nal validation round was 69%, where the number of correct reactions of the reminder system was almost as high as the number of correct reactions of the human expert. Details are described elsewhere [30,31].…”

Section: Resultsmentioning

confidence: 99%

GASTON: an architecture for the acquisition and execution of clinical guideline-application tasks

Clercq¹

2000

Medical Informatics and the Internet in Medicine

View full text Add to dashboard Cite

Recently, studies have shown the benefits of using clinical guidelines in the practice of medicine. There have been numerous efforts to develop clinical decision support systems that support guideline-based care in an automated fashion, covering a wide range of clinical settings and tasks. Despite these efforts, only a few systems progressed beyond the prototype stage and the research laboratory. For guideline-based clinical decision support systems to be successful, a balance must be made between intuitive but imprecise representations usually encountered by most of today's systems and representations that support a strong underlying clinical performance model. The project described in this paper tries to achieve such a balance. It presents the GASTON architecture that contains a set of reusable software components for the application of guidelines, including design-time components to facilitate the guideline authoring process based on guideline representation models along with execution-time components for building decision support systems that incorporate these guidelines. This architecture was used to develop several guideline representation models such as a rule-based representation to model rule-based guidelines and guideline representation models that address more complex tasks. Also, decision support systems that incorporate these models were developed with the architecture. For the representation and application of various classes of guidelines, rules were also viewed as instances of more complex tasks. By identifying similar characteristics of sets of rules, we developed several tasks such as a drug intera ction and drug contraindication task. Based on these models, we have developed and validated guidelines and decision support systems for use in several application domains such as intensive care, family physicians and psychiatry. In order to be able to represent more complex time-oriented plans, new guideline representation models are being developed.

show abstract

Section: Resultsmentioning

confidence: 99%

GASTON: an architecture for the acquisition and execution of clinical guideline-application tasks

Clercq¹

2000

Medical Informatics and the Internet in Medicine

View full text Add to dashboard Cite

show abstract

“…the recommendations), a module that provides passive support and a database. 12 The knowledge base in which the recommendations are stored now contains 150 rules (recommendations) derived from accepted national and regional guidelines about various medical problems. To use the GRIF system in daily practice, the general practitioner (GP) must enter relevant medical patient data (signs, symptoms, working hypotheses, and the reason for request) and the tests to be ordered into an electronic order entry form.…”

Section: Methodsmentioning

confidence: 99%

“…12,13 GRIF is meant to stimulate adherence to accepted practice guidelines on diagnostic tests. This system was developed to support or even replace the written feedback given by the Transmural Care Unit of the Maastricht University Hospital since 1985.…”

Section: Refereed Papersmentioning

confidence: 99%

The efficacy of an automated feedback system for general practitioners

Bindels¹,

Hasman

Kester³

et al. 2003

Journal of Innovation in Health Informatics

Self Cite

View full text Add to dashboard Cite

“…Computerized physician orderentry (CPOE) is increasingly discussed in them edical informatics community.F ew articles focus on topics of order entryliketest ordering [1,2], or quality aspects liket he timeliness of results [2] .The majority of articles dealwith medication [3][4][5] and discuss thet opico f patientsafety [6]. Butespecially theroleof CPOE in patientsafety is currentlythe subject to debate.…”

Section: Introductionmentioning

confidence: 99%