Machine learning model based on RCA-PDCA nursing methods and differentiating factors to predict hypotension during cesarean section surgery

Yang, Xue; Li, Yu-Mei; Wang, Qiong; Li, Run; Zhang, Ping

doi:10.1016/j.compbiomed.2024.108395

Cited by 1 publication

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“…Against this backdrop, numerous medical institutions have embarked on endeavors to enhance the coding process, aiming to bolster the accuracy and efficiency of ICD-10 coding. Among these initiatives, the adoption of computer network systems[ 9 ] and implementation of the plan-do-check-action (PDCA) cycle management paradigm[ 10 ] are recognized as promising solutions with considerable potential.…”

Section: Introductionmentioning

confidence: 99%

Adoption of network and plan-do-check-action in the international classification of disease 10 coding

Lian

2024

World J Clin Cases

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BACKGROUND with the widespread application of computer network systems in the medical field, the plan-do-check-action (PDCA) and the international classification of diseases tenth edition (ICD-10) coding system have also achieved favorable results in clinical medical record management. However, research on their combined application is relatively lacking. Objective: it was to explore the impact of network systems and PDCA management mode on ICD-10 encoding. Material and Method: a retrospective collection of 768 discharged medical records from the Medical Record Management Department of Meishan People’s Hospital was conducted. They were divided into a control group (n = 232) and an observation group (n = 536) based on whether the PDCA management mode was implemented. The two sets of coding accuracy, time spent, case completion rate, satisfaction, and other indicators were compared. AIM To study the adoption of network and PDCA in the ICD-10. METHODS A retrospective collection of 768 discharged medical records from the Medical Record Management Department of Meishan People’s Hospital was conducted. They were divided into a control group (n = 232) and an observation group (n = 536) based on whether the PDCA management mode was implemented. The two sets of coding accuracy, time spent, case completion rate, satisfaction, and other indicators were compared. RESULTS In the 3, 6, 12, 18, and 24 months of PDCA cycle management mode, the coding accuracy and medical record completion rate were higher, and the coding time was lower in the observation group as against the controls (P < 0.05). The satisfaction of coders (80.22% vs 53.45%) and patients (84.89% vs 51.72%) in the observation group was markedly higher as against the controls (P < 0.05). CONCLUSION The combination of computer networks and PDCA can improve the accuracy, efficiency, completion rate, and satisfaction of ICD-10 coding.

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Section: Introductionmentioning

confidence: 99%

Adoption of network and plan-do-check-action in the international classification of disease 10 coding

Lian

2024

World J Clin Cases

View full text Add to dashboard Cite

show abstract

Machine learning model based on RCA-PDCA nursing methods and differentiating factors to predict hypotension during cesarean section surgery

Cited by 1 publication

References 14 publications

Adoption of network and plan-do-check-action in the international classification of disease 10 coding

Adoption of network and plan-do-check-action in the international classification of disease 10 coding

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