{"title":"Framework for key benchmarking indicators in hospital information system.","authors":"Asghar Ehteshami, Ahamad-Reza Raeisi, Maedeh Rashedi, Yasin Sabet Kouhanjani","doi":"10.1186/s12911-025-03038-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Developing key benchmarking indicators (KBIs) for Hospital Information Systems (HIS) has the potential to enhance operational efficiency and effectiveness, resulting in the successful achievement of hospital goals. This study endeavored to develop a comprehensive framework of KBIs for HIS to address the need for structured evaluation in healthcare systems.</p><p><strong>Methods: </strong>This qualitative study was conducted at Ahvaz Jundishapour University of Medical Sciences' academic hospitals. The study comprised two distinct phases. In the initial phase, data collection involved purposive sampling with a snowball technique, consisting of 14 semi-structured interviews with health information technology, medical informatics, and health information management experts. During the second phase, benchmarking indicators were extracted through conventional content analysis and prioritized using two rounds of the Delphi technique.</p><p><strong>Results: </strong>The study identified three main themes and eight sub-themes, including Technical (software, hardware, architecture and user interface, and outputs), Human and Organizational (vendors, IT support, and HIS workflows), and Financial (costs). A total of 76 KBIs were developed and prioritized, with key indicators such as user-friendliness and response time scoring 100% in importance, while others like cost-effectiveness and interoperability quality scored 96.4% and 98.8%, respectively.</p><p><strong>Conclusion: </strong>The proposed framework incorporates essential benchmarking indicators intended to enhance HIS efficiency, effectiveness, and successful attainment of its objectives. These indicators may serve as a comprehensive tool for Health Information Technology managers to benchmark their HISs. Practical implications include the potential for hospital administrators to identify gaps in system performance, optimize resource allocation, and improve user satisfaction by applying the KBIs. The framework may also guide decision-making processes, supporting alignment with organizational goals and promoting the long-term sustainability of HIS implementations.</p>","PeriodicalId":9340,"journal":{"name":"BMC Medical Informatics and Decision Making","volume":"25 1","pages":"213"},"PeriodicalIF":3.3000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12210575/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medical Informatics and Decision Making","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12911-025-03038-z","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Developing key benchmarking indicators (KBIs) for Hospital Information Systems (HIS) has the potential to enhance operational efficiency and effectiveness, resulting in the successful achievement of hospital goals. This study endeavored to develop a comprehensive framework of KBIs for HIS to address the need for structured evaluation in healthcare systems.
Methods: This qualitative study was conducted at Ahvaz Jundishapour University of Medical Sciences' academic hospitals. The study comprised two distinct phases. In the initial phase, data collection involved purposive sampling with a snowball technique, consisting of 14 semi-structured interviews with health information technology, medical informatics, and health information management experts. During the second phase, benchmarking indicators were extracted through conventional content analysis and prioritized using two rounds of the Delphi technique.
Results: The study identified three main themes and eight sub-themes, including Technical (software, hardware, architecture and user interface, and outputs), Human and Organizational (vendors, IT support, and HIS workflows), and Financial (costs). A total of 76 KBIs were developed and prioritized, with key indicators such as user-friendliness and response time scoring 100% in importance, while others like cost-effectiveness and interoperability quality scored 96.4% and 98.8%, respectively.
Conclusion: The proposed framework incorporates essential benchmarking indicators intended to enhance HIS efficiency, effectiveness, and successful attainment of its objectives. These indicators may serve as a comprehensive tool for Health Information Technology managers to benchmark their HISs. Practical implications include the potential for hospital administrators to identify gaps in system performance, optimize resource allocation, and improve user satisfaction by applying the KBIs. The framework may also guide decision-making processes, supporting alignment with organizational goals and promoting the long-term sustainability of HIS implementations.
期刊介绍:
BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.