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Biomedical subjects

C Breant

Publications and source records attributed to C Breant.

4 recordsLinked to original sources

Issues in designing a controlled vocabulary and a patient data representation model for a hospital-wide EPR system.

Careful attention must be paid when designing the following components of a hospital-wide electronic patient record (EPR) system: the common medical controlled terminology, the semantic data model for a standardized representation of patient data and the normalized database. Requirements are detailed. Problems encountered when coordinating the development of a medical terminology with the modeling of patient medical data are analyzed. Solutions implemented in the hospital-wide DOCLIN EPR system at the University Hospital of Geneva (HUG) are presented.

Computer Communication Networks↗

Finding similar cases within a hospital information system.

Most of the theoretical medical knowledge comes from literature. The knowledge obtained from the vast majority of patients is then lost. The vast majority of patients do not participate in the elaboration of medical knowledge, apart from the lucky few entering a clinical trial or a published case study. Moreover, locally treated patients do not always correspond to the same time, space or age context as literature patients. How can the knowledge of one patient be used for treating other patients? How can we save the knowledge of our own patients? Hospital information systems contain a lot of detailed and precise information about many patients over several years. Databases containing detailed information can provide solutions based on case analysis (Case-based reasoning or "similar case approach"). An example of a Geneva's decision system called Archimed is shown here.

Artificial Intelligence↗

Implementation of a large-scale picture archiving and communication system.

This paper describes the implementation of a large-scale picture archiving and communication system (PACS) in a clinical environment. The system consists of a PACS infrastructure, composed of a PACS controller, a database management system, communication networks, and optical disk archive. It connects to three MR units, four CT scanners, three computed radiography systems, and two laser film digitizers. Seven display stations are on line 24 h/day, 7 days/wk in genitourinary radiology (2K), pediatric radiology in-patient (1K and 2K) and outpatient (2K), neuroradiology (2K), pediatric ICU (1K), coronary care unit (1K), and one laser film printing station. The PACS is integrated with the hospital information system and the radiology information system. The system has been in operation since February 1992. We have integrated this PACS as a clinical component in daily radiology practice. It archives an average of 2.0-gigabyte image data per workday. A 3-mo system performance of various components are tabulated. The deployment of this large-scale PACS signifies a milestone in our PACS research and development effort. Radiologists, fellows, residents, and clinicians use it for case review, conferences, and occasionally for primary diagnosis. With this large-scale PACS in place, it will allow us to investigate the two critical issues raised when PACS research first started 10 yrs ago: system performance and cost effectiveness between a digital-based and a film-based system.

Computer Communication Networks↗