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Published on: September 20, 2018
A scheme for assuring lifelong readability in computer based medical records
Yasushi Matsumura1, Noriyuki Kurabayashi, Tetsuya Iwasaki
1Department of Medical Informatics, Osaka University Hospital, Osaka, Japan. matumura@hp-info.med.osaka-u.ac.jp
The Document Archiving and Communication System (DACS) ensures lifelong medical record readability by converting documents to PDF and storing them with metadata. This system allows integrated viewing and data analysis, overcoming vendor system changes.
Area of Science:
- Health Informatics
- Digital Archiving
- Medical Record Management
Background:
- Medical records require long-term preservation, but digital systems are frequently updated (every 5-6 years).
- Ensuring consistent readability across different vendor systems is a significant challenge for long-term medical record accessibility.
Purpose of the Study:
- To propose and evaluate the Document Archiving and Communication System (DACS) for lifelong medical record readability.
- To address the challenge of maintaining access to medical records despite frequent system upgrades and vendor changes.
Main Methods:
- DACS treats medical records as aggregations of documents, converting them to universally readable formats like PDF.
- Document metadata and key data are stored in XML format and transferred to a Document Deliverer.
- Data is archived in a Document Archiver, Document Sharing Server, and Data Warehouse (DWH), with developed Matrix and Tree Views for document organization.
Main Results:
- The DACS enables integrated viewing of all documents through a single viewer, facilitating patient history review.
- Documents are presented in chronological (Matrix View) and hierarchical (Tree View) structures for efficient retrieval.
- Data sharing across systems and analysis via DWH are supported, enhancing data utility.
Conclusions:
- DACS successfully ensures the lifelong readability and accessibility of medical records.
- The system integrates disparate documents, improves user access to patient information, and enables valuable data analysis.
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