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A Web-Based Electronic Patient Record System as a Means for Collection of Clinical Data
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 1933/2000 |
| Book | Medical Data Analysis |
| DOI | 10.1007/3-540-39949-6 |
| Copyright | 2000 |
| ISBN | 978-3-540-41089-8 |
| DOI | 10.1007/3-540-39949-6_24 |
| Pages | 127-128 |
| Subject Collection | Computer Science |
| SpringerLink Date | Saturday, January 01, 2000 |
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A Web-Based Electronic Patient Record System as a Means for Collection of Clinical Data
Lutz Fritsche6 , Kay Schröter7 , Gabriela Lindemann7 , Regina Kunz6, Klemens Budde6 and Hans-H. Neumayer6
| (6) |
Department of Nephrology Charité Campus Mitte, University Hospital Charité, Schumannstr. 20/21, D-10117 Berlin, Germany |
| (7) |
Department of Computer Science, Artificial Intelligence Laboratory, Humboldt University Berlin, Unter den Linden 6, D-10099 Berlin, Germany |
Abstract
Availability of valid data is a prerequisite for medical data analysis. Traditional data collection (prospective studies,
registries, use of administrative data) tends to be either expensive or inaccurate. By transferring the workflow of routine
patient care to an electronic patient record(EPR), large amounts of detailed information are stored in a retrievable format,
but the maintainance of EPRs in mainframe- or client/server-architecture is expensive.We therefore investigated the feasibility
of an EPR based entirely on Web-Technology. The system is now operational since two years and has replaced the former paper-based
patient records of the outpatient clinic completely (now 789 patients). With an average duration of access to all values of
a specific laboratory day for a given patient taking 0.9s (SD:0.5s) and the automatic composition of a discharge letter taking
6.1s (SD:2.4s) the speed is adequate. We intend to enlarge the data pool by proliferating the system to other institutions.
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