Archetype based patient data modeling to support treatment of pituitary adenomas.
The treatment of patients with pituitary adenoma requires the assessment of various patient data by the clinician. Because of their heterogeneity, they are stored in different sub-information systems, limiting a fast and easy access. The objective of this paper is to apply and test the tools provided by the openEHR Foundation to model the patient data relevant for diagnosis and treatment of the disease with the future intention to implement a centralised standard-based information platform. This platform should support the clinician in the treatment of the disease and improve the information exchange with other healthcare institutions. Some results of the domain modeling, so far obtained, are presented, and the advantages of openEHR emphasized. The free tools and the large database of existing structured and standard archetypes facilitated the modeling task. The separation of the domain modeling from the application development will support the next step of development of the information platform.
Innovation Center Computer Assisted Surgery, Universität Leipzig, Germany.
Claire
C
Chalopin
University Hospital, Department of Neurosurgery, Universität Leipzig, Germany.
Dirk
D
Lindner
Innovation Center Computer Assisted Surgery, Universität Leipzig, Germany.
Stefan
S
Kropf
Innovation Center Computer Assisted Surgery, Universität Leipzig, Germany.
Kerstin
K
Denecke
D000236:Adenoma / Q000175:diagnosis / Q000628:therapy*; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D057286:Electronic Health Records / Q000458:organization & administration*; D005858:Germany; D006801:Humans; D008498:Medical Record Linkage / Q000592:standards*; D017146:Models, Organizational; D010911:Pituitary Neoplasms / Q000175:diagnosis / Q000628:therapy*; D017410:Practice Guidelines as Topic; D018875:Vocabulary, Controlled; D057188:Workflow