Administrative and Registry Databases for Patient Safety Tracking and Quality Improvement

Brian C. Brajcich; Chelsea P. Fischer; Clifford Y. Ko

doi:10.1016/j.suc.2020.09.010

Administrative and Registry Databases for Patient Safety Tracking and Quality Improvement

Brian C. Brajcich, Chelsea P. Fischer^*, Clifford Y. Ko

^*Corresponding author for this work

Surgery, Gastrointestinal/Endocrinology Division

Research output: Contribution to journal › Review article › peer-review

5 Scopus citations

Abstract

Acquisition of data on clinical performance is essential to improve outcomes in surgery. Large, national datasets allow hospitals to monitor events involving patient safety, complications, and benchmark against peer hospitals and facilitate quality improvement (QI) development. Although clinical datasets are often preferable, administrative data also have potential for actionable QI. Hospitals should use whatever data resources may be available and be creative in combining data sources for the most clinically meaningful metrics. Although collection of data is essential in understanding the problems an individual hospital is facing, rigorous QI infrastructure is necessary to translate data to action and achieve sustained change.

Original language	English (US)
Pages (from-to)	121-134
Number of pages	14
Journal	Surgical Clinics of North America
Volume	101
Issue number	1
DOIs	https://doi.org/10.1016/j.suc.2020.09.010
State	Published - Feb 2021

Funding

B.C. Brajcich and C.P. Fischer have no disclosures, financial or otherwise, to report. C.Y. Ko is the Director of the American College of Surgeons Division of Research and Optimal Patient Care. Funding: BCB and CPF are supported by the American College of Surgeons as part of the Clinical Scholars in Residence Program. CYK receives salary support from the American College of Surgeons. Funding: BCB and CPF are supported by the American College of Surgeons as part of the Clinical Scholars in Residence Program. CYK receives salary support from the American College of Surgeons.

Keywords

Datasets
Patient safety
Quality improvement
Quality infrastructure

ASJC Scopus subject areas

Surgery

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10.1016/j.suc.2020.09.010

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abstract = "Acquisition of data on clinical performance is essential to improve outcomes in surgery. Large, national datasets allow hospitals to monitor events involving patient safety, complications, and benchmark against peer hospitals and facilitate quality improvement (QI) development. Although clinical datasets are often preferable, administrative data also have potential for actionable QI. Hospitals should use whatever data resources may be available and be creative in combining data sources for the most clinically meaningful metrics. Although collection of data is essential in understanding the problems an individual hospital is facing, rigorous QI infrastructure is necessary to translate data to action and achieve sustained change.",

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AU - Fischer, Chelsea P.

AU - Ko, Clifford Y.

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N2 - Acquisition of data on clinical performance is essential to improve outcomes in surgery. Large, national datasets allow hospitals to monitor events involving patient safety, complications, and benchmark against peer hospitals and facilitate quality improvement (QI) development. Although clinical datasets are often preferable, administrative data also have potential for actionable QI. Hospitals should use whatever data resources may be available and be creative in combining data sources for the most clinically meaningful metrics. Although collection of data is essential in understanding the problems an individual hospital is facing, rigorous QI infrastructure is necessary to translate data to action and achieve sustained change.

AB - Acquisition of data on clinical performance is essential to improve outcomes in surgery. Large, national datasets allow hospitals to monitor events involving patient safety, complications, and benchmark against peer hospitals and facilitate quality improvement (QI) development. Although clinical datasets are often preferable, administrative data also have potential for actionable QI. Hospitals should use whatever data resources may be available and be creative in combining data sources for the most clinically meaningful metrics. Although collection of data is essential in understanding the problems an individual hospital is facing, rigorous QI infrastructure is necessary to translate data to action and achieve sustained change.

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KW - Quality improvement

KW - Quality infrastructure

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Administrative and Registry Databases for Patient Safety Tracking and Quality Improvement

Abstract

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Keywords

ASJC Scopus subject areas

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