Development and Evaluation of a Data Validation System for Healthcare Quality Indicators within China's Tiered Hospital Accreditation Framework

【Abstract】Background: Data validation is essential for ensuring the authenticity and reliability of healthcare quality monitoring indicators. China’s 2022 Tertiary Hospital Accreditation Standards require internal validation of quality monitoring data

Authors

Institutions

Publication Details

Published
2025-09-23
DOI
https://doi.org/10.22541/au.175860012.23607202/v1
Primary Topic
Healthcare Quality and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Evaluation of a Data Validation System for Healthcare Quality Indicators within China's Tiered Hospital Accreditation Framework

Guanghui Ming, Xue Zhang, Ling Luo, Rong Qin et al.
Healthcare Quality and Management
article

Development and Evaluation of a Data Validation System for Healthcare Quality Indicators within China's Tiered Hospital Accreditation Framework

Guanghui Ming, Xue Zhang, Ling Luo, Rong Qin, Pang Wenwen, Wang Jinian
article en

Abstract

【Abstract】Background: Data validation is essential for ensuring the authenticity and reliability of healthcare quality monitoring indicators. China’s 2022 Tertiary Hospital Accreditation Standards require internal validation of quality monitoring data

Lishui University (CN), Third People's Hospital of Hefei (CN), Hefei First People's Hospital (CN)
Anhui Medical University
Openalex Percentile: Top 71%
Healthcare Quality and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.