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A Hospital Medical Record Quality Scoring Tool (MeReQ): Development, Validation, and Results of a Pilot Study.
Torsello, Alessandra; Aromatario, Mariarosaria; Scopetti, Matteo; Bianco, Lavinia; Oliva, Stefania; D'Errico, Stefano; Napoli, Christian.
Afiliación
  • Torsello A; Department of Medical Surgical Sciences and Translational Medicine, "Sapienza" University of Rome, 00189 Rome, Italy.
  • Aromatario M; Sant'Andrea Hospital, University La Sapienza, 00189 Rome, Italy.
  • Scopetti M; Department of Medical Surgical Sciences and Translational Medicine, "Sapienza" University of Rome, 00189 Rome, Italy.
  • Bianco L; Department of Public Health and Infectious Diseases, "Sapienza" University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
  • Oliva S; Department of Public Health and Infectious Diseases, "Sapienza" University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
  • D'Errico S; Department of Medicine, Surgery and Health, University of Trieste, 34137 Trieste, Italy.
  • Napoli C; Department of Medical Surgical Sciences and Translational Medicine, "Sapienza" University of Rome, 00189 Rome, Italy.
Healthcare (Basel) ; 12(3)2024 Jan 27.
Article en En | MEDLINE | ID: mdl-38338216
ABSTRACT
Hospital medical records are valuable and cost-effective documents for assessing the quality of healthcare provided to patients by a healthcare facility during hospitalization. However, there is a lack of internationally validated tools that measure the quality of the whole hospital medical record in terms of both form and content. In this study, we developed and validated a tool, named MeReQ (medical record quality) tool, which quantifies the quality of the hospital medical record and enables statistical modeling using the data obtained. The tool was applied to evaluate a sample of hospital individual patient medical records from a secondary referral hospital and to identify the departments that require quality improvement interventions and the effects of improvement actions already implemented.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Healthcare (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Healthcare (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Italia