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±¹°¡ Ç÷¾×¼ö±Þ°¨½Ãü°èÀÇ Àü¼ö°¨½Ã¿¡ ´ëÇÑ ÀÇ·á±â°üÀÇ ÁغñÇöȲ¿¡ ´ëÇÑ ¼³¹®Á¶»ç Survey on the Preparation Status of Medical Institutions Regarding the Full Revision of the Korean Blood Inventory Monitoring System

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õ¼¼Á¾ ( Chun Se-Jong ) 
Chonnam National University Medical School Department of Laboratory Medicine

ÃÖÁö¼± ( Choi Ji-Seon ) 
Catholic Kwandong University College of Medicine International St. Mary¡¯s Hospital Department of Laboratory Medicine
Á¤¿µÁØ ( Jung Yung-Zoon ) 
Nasaret International Hospital Department of Laboratory Medicine
½ÅÁ¤¿ø ( Shin Jeong-Won ) 
Soonchunhyang University Seoul Hospital Department of Laboratory Medicine
Á¤°æÀº ( Jeong Kyeong-Eun ) 
National Institute of Organ, Tissue and Blood Management Division of Human Blood Safety Surveillance
¿ÀÁø¾Æ ( Oh Jin-A ) 
National Institute of Organ, Tissue and Blood Management Division of Human Blood Safety Surveillance
±èÁسâ ( Kim Jun-Nyun ) 
National Institute of Organ, Tissue and Blood Management Division of Human Blood Safety Surveillance
ÀÓ¿µ¾Ö ( Lim Young-Ae ) 
Ajou University School of Medicine Department of Laboratory Medicine

Abstract


Background: The current Korean Blood Inventory Monitoring System (BMS) has several drawbacks. It does not provide real-time data and only monitors 211 of the more than 2500 institutes that performed blood transfusions. This survey study investigated the status of BMS use and the preparation status of the data input system of medical institutions to help in the revision of BMS in preparation for the full surveillance of BMS.

Methods: A survey questionnaire was given to 200 hospitals participating in the current BMS, along with another set of questionnaires to 150 non-participating hospitals. The questionnaire consisted of the method of data registry to BMS, the current status of electronic medical records (EMR) and order communication system (OCS), perception, and readiness of adaptation of an open application programming interface system (API).

Results: Two hundred and one BMS participating hospitals responded to the survey. Approximately 75% entered data with a comma-separated value (CSV) or Excel spreadsheet (xls) files, and approximately half had an in-house developed EMR and OCS. The majority showed enthusiasm for the introduction to an open API. Among the non-participating hospitals, 138 responded. Approximately 70% counted the blood inventory daily, but approximately half did not use electronic methods for this process. The response to the introduction to an open API was positive, but the readiness for a prompt introduction was low at 15.9%.

Conclusion: These results will help revise the current BMS. On the other hand, full surveillance of BMS is anticipated to be hindered by the ready state of each medical institute. Moreover, the encouragement of participation would require supportive government administrative measures.

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Blood inventory management; Blood management system; Blood supply; Blood demand; Blood use

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KCI
KoreaMed
KAMS