Using Natural Language Processing in the LACE Index Scoring Tool to Predict Unplanned Trauma and Surgical Readmissions in South Africa.

Journal: World journal of surgery

PMID: 40059292

Abstract

BACKGROUND: Unplanned and potentially avoidable readmission within 30 days post discharge is a major financial burden.

Authors

Umit Tokac

College of Nursing, University of Missouri-St. Louis, St. Louis, MO 63121, USA.
Jennifer Chipps

School of Nursing, Faculty of Community Health Sciences, University of Western Cape, Cape Town 7530, South Africa.
Petra Brysiewicz

School of Nursing and Public Health, University of KwaZulu-Natal, Durban 4041, South Africa.
John Bruce

School of Clinical Medicine, University of KwaZulu-Natal, Durban 4041, South Africa.
Damian Clarke

School of Clinical Medicine, University of KwaZulu-Natal, Durban 4041, South Africa.

Keywords

Adult Aged Comorbidity Electronic Health Records Feasibility Studies Female Humans Male Middle Aged Natural Language Processing Patient Readmission Retrospective Studies Risk Assessment South Africa Surgical Procedures, Operative Wounds and Injuries

External Resources

View on PubMed Access via DOI PubMed (40059292)

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