TY - GEN
T1 - A Study on a Method to Reduce Medical Incidents in Healthcare
AU - Jin, Haizhe
AU - Fu, Quanwei
AU - Munechika, Masahiko
AU - Sano, Masataka
AU - Kajihara, Chisato
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Incidents during the medication process occur at high rates in most hospitals. Therefore, reducing medical incidents is vital to guarantee healthcare quality. It is an effective countermeasure that improves the working method. In this paper, an error-proofing method is applied to reduce the frequency of such incidents. In order to simplify the process of planning error-proofing countermeasures, the following approaches are employed in this study: (1)Improvement elements are extracted in order to planning error-proofing countermeasures.(2)The Improvement elements that caused the error-factor are called improvement objects, and we designed the extraction set of improvement objects.(3)We correlated the improvement objects with the recommended error-proofing solutions. Finally, these parameters are collated. Moreover, these tools are summarized as a procedure for analyzing such incidents and devising appropriate error-proofing countermeasures. Additionally, this paper presents the results of the application of the proposed method in other Hospitals. In conclusion, the proposed procedure can facilitate the planning of error-proofing countermeasures and can reduce the medical incidents.
AB - Incidents during the medication process occur at high rates in most hospitals. Therefore, reducing medical incidents is vital to guarantee healthcare quality. It is an effective countermeasure that improves the working method. In this paper, an error-proofing method is applied to reduce the frequency of such incidents. In order to simplify the process of planning error-proofing countermeasures, the following approaches are employed in this study: (1)Improvement elements are extracted in order to planning error-proofing countermeasures.(2)The Improvement elements that caused the error-factor are called improvement objects, and we designed the extraction set of improvement objects.(3)We correlated the improvement objects with the recommended error-proofing solutions. Finally, these parameters are collated. Moreover, these tools are summarized as a procedure for analyzing such incidents and devising appropriate error-proofing countermeasures. Additionally, this paper presents the results of the application of the proposed method in other Hospitals. In conclusion, the proposed procedure can facilitate the planning of error-proofing countermeasures and can reduce the medical incidents.
KW - Error-factor
KW - Error-proofing
KW - Healthcare
KW - Improvement object
UR - http://www.scopus.com/inward/record.url?scp=85112244930&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-80744-3_28
DO - 10.1007/978-3-030-80744-3_28
M3 - Conference contribution
AN - SCOPUS:85112244930
SN - 9783030807436
T3 - Lecture Notes in Networks and Systems
SP - 219
EP - 227
BT - Advances in Human Factors and Ergonomics in Healthcare and Medical Devices - Proceedings of the AHFE 2021 Virtual Conference on Human Factors and Ergonomics in Healthcare and Medical Devices, 2021
A2 - Kalra, Jay
A2 - Lightner, Nancy J.
A2 - Taiar, Redha
PB - Springer Science and Business Media Deutschland GmbH
T2 - AHFE Conference on Human Factors and Ergonomics in Healthcare and Medical Devices, 2021
Y2 - 25 July 2021 through 29 July 2021
ER -