Title |
CMDX©-based single source information system for simplified quality management and clinical research in prostate cancer
|
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Published in |
BMC Medical Informatics and Decision Making, December 2012
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DOI | 10.1186/1472-6947-12-141 |
Pubmed ID | |
Authors |
Okyaz Eminaga, Mahmoud Abbas, Reemt Hinkelammert, Ulf Titze, Olaf Bettendorf, Elke Eltze, Enver Özgür, Axel Semjonow |
Abstract |
Histopathological evaluation of prostatectomy specimens is crucial to decision-making and prediction of patient outcomes in prostate cancer (PCa). Topographical information regarding PCa extension and positive surgical margins (PSM) is essential for clinical routines, quality assessment, and research. However, local hospital information systems (HIS) often do not support the documentation of such information. Therefore, we investigated the feasibility of integrating a cMDX-based pathology report including topographical information into the clinical routine with the aims of obtaining data, performing analysis and generating heat maps in a timely manner, while avoiding data redundancy. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
India | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 23% |
Student > Postgraduate | 5 | 17% |
Student > Master | 5 | 17% |
Student > Ph. D. Student | 4 | 13% |
Student > Bachelor | 3 | 10% |
Other | 2 | 7% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 40% |
Nursing and Health Professions | 2 | 7% |
Social Sciences | 2 | 7% |
Computer Science | 2 | 7% |
Mathematics | 1 | 3% |
Other | 5 | 17% |
Unknown | 6 | 20% |