diagnosic knowledge-based system for liver and biliary tract disease
developed by
clinical domains
keywords
Department of Computer Science / Artificial Intelligence, University of Würzburg; knowIT-Software GmbH; MedicoConsult GmbH
Hepatology, Gastroenterology, medical education, diagnosis, second opinion, consultation system
Knowledge-based systems, D3, know Assist, expert system shell, rule-based systems, critiquing systems
location
commissioned
status
Berlin-Köpenick hospital
late 1998
In clinical use
description
Built using the diagnostic expert system shell, D3 (now renamed "know Assist"),
HepatoConsult is a knowledge-based system designed to aid in the diagnosis of liver and biliary tract disease.
references
Buscher HP, Engler Ch, Fuhrer A, Kirschke S, Puppe F.
HepatoConsult: a knowledge-based second opinion and documentation system.
Artif Intell Med. 2002 Mar;24(3):205-16.
[PubMed]
[ScienceDirect]
"
HepatoConsult is a publicly available knowledge-based second opinion and documentation system aiding in the diagnosis of liver diseases. The positive results of a prospective diagnostic evaluation study encouraged its use in clinical routine, although the available hardware infrastructure was not optimal. The comments of the physicians who used the system confirmed the results of the study and showed that the time for data entering is acceptable and the implicit standardization of terminology and documentation is welcome. Suggestions for improvement included the interface to enter data more easily, the scope to be usable for more patients and the additional capability to generate medical reports from the data.
"
Puppe F. Knowledge reuse among diagnostic problem-solving methods in the shell-kit D3. Int. J. Hum.-Comput. Stud. 49 (1998), pp. 627–649.
[]
[ScienceDirect]
"
While diagnostic problem solving is in principle well understood, building and maintaining systems in large domains cost effectively is an open issue. Various methods have different advantages and disadvantages making their integration attractive. When switching from one method to another in an integrated system, as much knowledge as possible should be reused. We present an inference structure for diagnostic problem solving optimized with respect to knowledge reuse among methods motivated by experience from large knowledge bases built in medical, technical and other diagnostic domains.
"
contact
links
MedicoConsult GmbH
Trimbacher Str. 30
12349 Berlin
HepatoConsult 