A new clinical laboratory information system architecture from the OpenLabs project offering advanced services for laboratory staff and users

Boran, G.; O’Moore, R. R.; Grimson, William; Peters, Margaret; Hasman, Arie; Groth, Torgny; Merode, Frits van

doi:10.1016/0009-8981(95)06263-7

Cited by 8 publications

(3 citation statements)

References 14 publications

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“…In order to achieve the goal, the experts move to different diagnostic laboratories and notice the condition, cleanliness of the laboratories. They used to talk with the technicians; doctors, examine different reagent [18]and also monitor the day-to-day experiences (findings) of patients. Finally, they make their comments in the questionnaire.…”

Section: Investigating the Evaluation Attributesmentioning

confidence: 99%

Untitled

2019

IJFLS

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The aim of this paper is to present an evaluation process using OWA operator in fuzzy Multi-attribute group decision making (MAGDM) technique for helping the health-care department to choose a suitable diagnostic laboratory among several alternatives. In the process of decision making, experts provide linguistic terms to evaluate each of the alternatives, which are parameterized by generalized triangular fuzzy numbers (GTFNs). Subsequently fuzzy MAGDM method is applied to determine the overall performance value for each alternative (laboratory) to make a final decision. Finally, the diagnostic laboratory evaluation problem is presented involving seven evaluation attributes, five laboratories and five experts.

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Section: Investigating the Evaluation Attributesmentioning

confidence: 99%

Untitled

2019

IJFLS

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“…Furthermore, a drawback to the use of test-ordering protocols for laboratory utilization control is that clinicians do not show a test-ordering behaviour change in response to the deployment or dissemination of clinical guidelines even when they are in agreement [9] [10] [11]. Despite the above drawbacks, it is beneficial to provide computerized support for clinical test-ordering protocols as this would give rise to a number of desirable outcomes, which include: q reduction of unnecessary test orders, which will reduce laboratory costs [12] [13] [14] [15],…”

mentioning

confidence: 99%

Supporting clinical laboratory test-ordering protocol specification, execution and management: an event-condition-action rule and database approach

Dube¹,

Wu²

2001

Health Informatics J

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The cost of clinical laboratory testing has increased considerably during the past decade. This has prompted research and initiatives aimed at controlling clinical laboratory utilization without affecting the continued improvement of the quality of patient care. One of the most effective and proven approaches to clinical laboratory utilization management is the use of clinical test-ordering protocols. The major challenges being faced are those of modelling and specifying clinical guidelines and protocols in a manner that facilitates their integration into information systems, their subsequent management and their linking with electronic healthcare records. It is the authors’ belief that the event-condition-action (ECA) rule paradigm and modern database technology are of great potential in this area, and their applications here should be vigorously researched. This paper describes a generic model and language, called PLAN, based on the ECA rule paradigm for supporting clinical test-ordering protocols. The paper also discusses a database-based approach to the specification, execution and management of test ordering protocols.

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“…The challenge now to public health agencies will be to implement the findings of these two trials on a wide scale. It has been recognised in the literature that the application of Information Technology can enhance the quality and efficacy by promoting best practise in the Clinical Laboratory Environment [1,2,3,22] Currently, there is an on-going project in the Dublin Institute of Technology, Ireland, of which the main aim is to develop a generic framework and its associated specification language to specify clinical test protocols/guidelines. Together with this framework and language, a mechanism and implementation of protocolbased system for the creation, execution and management of the specified clinical test request protocols will also be developed by using the modern active rule mechanism.…”

Section: Introductionmentioning

confidence: 99%

PLAN: a framework and specification language with an event-condition-action (ECA) mechanism for clinical test request protocols

Wu¹,

Dube²

Proceedings of the 34th Annual Hawaii International Conference on System Sciences

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It has been generally recognised that the need to improve the quality of health care has lead to a strong demand for clinical protocols/guidelines supported by computer systems in their creation and execution. How to efficiently and effectively manage, query and manipulate the computerised clinical test protocols has posed a major challenge but received little research attention so far. This paper addresses this issue from a unified approach based on an active rule mechanism. This paper first presents PLAN -a generic modelling framework and specification language with an Event-Condition-Action (ECA) mechanism for clinical test request protocols. It then discusses in detail components of the test protocol and patient test plan expressed in PLAN. The implementation of PLAN is also briefly discussed. This research is unique in that it introduces an active ECA mechanism into test protocol modelling and specification, and emphasises the importance of the efficient and effective management of computerised test request protocols. 0-7695-

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A new clinical laboratory information system architecture from the OpenLabs project offering advanced services for laboratory staff and users

Cited by 8 publications

References 14 publications

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Untitled

Supporting clinical laboratory test-ordering protocol specification, execution and management: an event-condition-action rule and database approach

PLAN: a framework and specification language with an event-condition-action (ECA) mechanism for clinical test request protocols

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