Digital Transformation in Healthcare Management: Evaluating Hospital Productivity, Patient Experience, and Clinical Decision Performance
Year: 2026
Type: article
Abstract: Digital transformation has emerged as a significant driver of healthcare modernization, influencing hospital productivity, patient experience, clinical decision-making, and overall institutional performance. The integration of electronic health records (EHRs), artificial intelligence (AI), telemedicine, clinical decision support systems (CDSS), and hospital information management systems has created new opportunities to improve healthcare service delivery and administrative efficiency. This study aims to evaluate the influence of digital transformation on three critical dimensions of healthcare management: hospital productivity, patient experience, and clinical decision performance. The proposed research adopts a quantitative comparative approach using publicly available healthcare datasets, published empirical studies, and institutional performance indicators. The evaluation focuses on measurable parameters, including patient waiting time, hospital bed utilization, average length of stay, administrative processing time, patient satisfaction, clinical decision accuracy, diagnostic efficiency, and healthcare operational costs. Numerical comparison tables are used to examine performance differences across digital adoption levels, healthcare technologies, and institutional settings. The analytical framework also considers the relationships between digital infrastructure, managerial efficiency, clinical workflow integration, and patient-centred healthcare delivery. Particular attention is given to identifying the operational benefits and implementation challenges associated with digital healthcare technologies, including interoperability limitations, data security concerns, workforce readiness, and technological investment requirements. The study is designed to consolidate evidence on the extent to which digital transformation contributes to improved hospital management, enhanced patient engagement, and more effective clinical decision-making. The final analysis will identify measurable performance differences, technology-specific contributions, and managerial implications based on verified numerical evidence. The research seeks to provide an evidence-based framework to support healthcare administrators, hospital managers, policymakers, and clinical professionals in evaluating digital investments and developing sustainable healthcare transformation strategies.
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7225611806
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