AI Article Synopsis
- The paper discusses the challenges in treating pituitary adenoma due to the fragmented storage of patient data across various systems, which complicates access for clinicians.
- The authors aim to use tools from the openEHR Foundation to create a centralized information platform that will enhance diagnosis, treatment, and information exchange between healthcare providers.
- Initial results highlight the benefits of openEHR, including its free tools and extensive database of structured archetypes, which are helping to model relevant patient data for this platform.
Article Abstract
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.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!