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Development of prostate cancer research database with the clinical data warehouse technology for direct linkage with electronic medical record system.

Choi IY, Park S, Park B, Chung BH, Kim CS, Lee HM, Byun SS, Lee JY - Prostate Int (2013)

Bottom Line: To gain its objective, the prostate cancer database system was planned and cautiously accommodated different views from various professions.Among them, 538 patients conducted surgery and others have different treatments.Our database system could provide the infrastructure for collecting error free data to support various retrospective and prospective studies.

View Article: PubMed Central - PubMed

Affiliation: Department of Medical Informatics, The Catholic University of Korea College of Medicine, Seoul, Korea.

ABSTRACT

Purpose: In spite of increased prostate cancer patients, little is known about the impact of treatments for prostate cancer patients and outcome of different treatments based on nationwide data. In order to obtain more comprehensive information for Korean prostate cancer patients, many professionals urged to have national system to monitor the quality of prostate cancer care. To gain its objective, the prostate cancer database system was planned and cautiously accommodated different views from various professions.

Methods: This prostate cancer research database system incorporates information about a prostate cancer research including demographics, medical history, operation information, laboratory, and quality of life surveys. And, this system includes three different ways of clinical data collection to produce a comprehensive data base; direct data extraction from electronic medical record (EMR) system, manual data entry after linking EMR documents like magnetic resonance imaging findings and paper-based data collection for survey from patients.

Results: We implemented clinical data warehouse technology to test direct EMR link method with St. Mary's Hospital system. Using this method, total number of eligible patients were 2,300 from 1997 until 2012. Among them, 538 patients conducted surgery and others have different treatments.

Conclusions: Our database system could provide the infrastructure for collecting error free data to support various retrospective and prospective studies.

No MeSH data available.


Related in: MedlinePlus

Integrated prostate cancer database system. EMR, electronic medical record; CDW, clinical data warehouse; MRI, magnetic resonance imaging.
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f2-pi_1-2-59-02: Integrated prostate cancer database system. EMR, electronic medical record; CDW, clinical data warehouse; MRI, magnetic resonance imaging.

Mentions: This database system provides three different ways of data collection depending on the information technology infrastructure; direct manual entry; Excel upload, and direct EMR link using CDW technology (Fig. 2). For example, a hospital A already has affluent human resource for prostate cancer registry, and prefers manual entry. Then they can access web browser and enter each data field. A hospital prefers to enter data into Excel file and later upload Excel file into the web system. Other hospital wants to download research data automatically and import the extracted file into the research data base system.


Development of prostate cancer research database with the clinical data warehouse technology for direct linkage with electronic medical record system.

Choi IY, Park S, Park B, Chung BH, Kim CS, Lee HM, Byun SS, Lee JY - Prostate Int (2013)

Integrated prostate cancer database system. EMR, electronic medical record; CDW, clinical data warehouse; MRI, magnetic resonance imaging.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3814112&req=5

f2-pi_1-2-59-02: Integrated prostate cancer database system. EMR, electronic medical record; CDW, clinical data warehouse; MRI, magnetic resonance imaging.
Mentions: This database system provides three different ways of data collection depending on the information technology infrastructure; direct manual entry; Excel upload, and direct EMR link using CDW technology (Fig. 2). For example, a hospital A already has affluent human resource for prostate cancer registry, and prefers manual entry. Then they can access web browser and enter each data field. A hospital prefers to enter data into Excel file and later upload Excel file into the web system. Other hospital wants to download research data automatically and import the extracted file into the research data base system.

Bottom Line: To gain its objective, the prostate cancer database system was planned and cautiously accommodated different views from various professions.Among them, 538 patients conducted surgery and others have different treatments.Our database system could provide the infrastructure for collecting error free data to support various retrospective and prospective studies.

View Article: PubMed Central - PubMed

Affiliation: Department of Medical Informatics, The Catholic University of Korea College of Medicine, Seoul, Korea.

ABSTRACT

Purpose: In spite of increased prostate cancer patients, little is known about the impact of treatments for prostate cancer patients and outcome of different treatments based on nationwide data. In order to obtain more comprehensive information for Korean prostate cancer patients, many professionals urged to have national system to monitor the quality of prostate cancer care. To gain its objective, the prostate cancer database system was planned and cautiously accommodated different views from various professions.

Methods: This prostate cancer research database system incorporates information about a prostate cancer research including demographics, medical history, operation information, laboratory, and quality of life surveys. And, this system includes three different ways of clinical data collection to produce a comprehensive data base; direct data extraction from electronic medical record (EMR) system, manual data entry after linking EMR documents like magnetic resonance imaging findings and paper-based data collection for survey from patients.

Results: We implemented clinical data warehouse technology to test direct EMR link method with St. Mary's Hospital system. Using this method, total number of eligible patients were 2,300 from 1997 until 2012. Among them, 538 patients conducted surgery and others have different treatments.

Conclusions: Our database system could provide the infrastructure for collecting error free data to support various retrospective and prospective studies.

No MeSH data available.


Related in: MedlinePlus