The Java-Medical Diagnostics Expert System Shell: Basic Version
| developed by |
keywords |
| Based on Pro.M.D., developed by Prof. Chr. Trendelenburg and colleagues. Distributed by Sysmex (Europe) |
Knowledge-based diagnostic systems, expert system shells, clinical laboratory |
| status |
Download details |
| j.MD BASIC is a freeware version of a commercial product: j.MD PRO. |
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| description |
j.MD BASIC consists of:
- "Knowledge Editor – to create and edit medical knowledge bases consisting of laboratory parameters, diagnoses, rules and reports. Up to 10 knowledge bases can be integrated into j.MD BASIC"
- "Debugger – to test and debug knowledge bases "
- "Runtime – to enter patient and laboratory result data"
- An Anaemia knowledge base
- Standard report – to print or save as a pdf file
j.MD PRO offers enhanced functionality including XML standard interfaces and the inclusion of LOINC®.
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| references |
Schumacher T.
The Java-Medical Diagnostics Expert System Shell.
Infus Ther Transfus Med 2001;28:292-296
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[Infus Ther Transfus Med]
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The Java-Medical Diagnostics (j-MD) expert system shell is the successor to Pro-MD developed by Trendelenburg and Pohl (1988). Since j-MD may be widely used by the medical community, Trendelenburg sought an industrial partner. Sysmex (Europe), through its subsidiary Sysmex Molis which specializes in laboratory information systems agreed to support and integrate j-MD into its development strategy. The main problems were maintainability of the knowledge base, integration into modern networks, and improvement of end user acceptance. The keys to maintainable software products are i) structuring the code, ii) building hierarchies, iii) re-use of the code, and iv) versioning of software segments. All facts (or input values) are converted through decision algorithms into 'medical concepts', possessing clear meaning for any medically trained individual (basics knowledge base). One such concept may then be used directly as input to the next higher level of the knowledge base, thus creating hierarchies where the real expertise in an independent second-level knowledge base is added. The total knowledge base therefore becomes more compact and specific and thus easier to maintain. The j-MD system is provided on a modern network infrastructure. It possesses an XML interface, and the possibility to query j-MD both through the LIS (integrated solution) or through a web browser exists. Since the end user of the j-MD system is usually a clinician, an explanation subsystem is very necessary and is provided through the extensible mark-up language (XML) interface.
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Van Hoof V, Wormek A, Schleutermann S, Schumacher T, Lothaire O, Trendelenburg C.
Medical expert systems developed in j.MD, a Java based expert system shell: application in clinical laboratories.
Medinfo. 2004;11(Pt 1):89-93.
[PubMed]
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Growing complexity of diagnostic tests, combined with increased workload, stringent laboratory accreditation demands, continuous shortening of turn-around-time and budget restrictions have forced laboratories to automate most of their iterative tasks. Introduction of artificial intelligence by means of expert systems has gained an important place in this automation process. Different parts of clinical laboratory activity can benefit from their implementation and the present project deals with one aspect, namely the clinical interpretation of diagnostic tests. This paper describes how j.MD, a new Java based expert system shell, was used to reprogram the expert system for interpretation of amylase isoenzyme patterns that has been in use for many years in our laboratory, and that was originally programmed in Pro.MD, a Prolog based expert system shell. One of the most important advantages of the j.MD system is its bidirectional link with the laboratory information system. This project shows how expert systems for the interpretation of complex diagnostic tests that demand specific expertise can become an integrated part of the automated clinical chemistry lab.
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| contact |
links |
Sysmex Corporation
www.sysmex-europe.com
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| Acknowledgement |
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Entry on OpenClinical: 07 June 2005 Last main update: 07 June 2005
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