ArticleHealth science reports2025
Development of a Conceptual Framework for Smart Hospitals: A Qualitative Study in Iran.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Development of a Conceptual Framework for Smart Hospitals: A Qualitative Study in Iran.Health science reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: The concept of a smart hospital refers to an advanced care model aimed at improving quality of care while using resources efficiently. This study aims to develop a comprehensive conceptual model that clearly defines the key dimensions of smart hospitals. Methods: This qualitative study was conducted in 2024. The participants included 22 health system managers with a minimum of 5 years of managerial experience, alongside policymakers and scientific experts familiar with the concept of smart hospitals in Iran. Data were collected through targeted semi-structured interviews, followed by snowball sampling until data saturation was reached. The interview questions focused on the concepts and dimensions of smart hospitals. Subsequently, the interviews were transcribed, meaning units were identified, coded, and classified based on similarities and patterns. Themes were then extracted and analyzed using content analysis. Results: The analysis identified 5 main themes, 21 subthemes, and 94 items. These themes included: Management and Leadership (control, human resource, financial resource, planning, and management dashboard), Care and Treatment (inpatient services, outpatient services, pharmaceutical services, and health promotion), Information and Communication Systems (health files, communication infrastructure, information infrastructure, and network management), Medical Equipment (therapeutic equipment, diagnostic equipment, detection equipment, and rehabilitation equipment), and Structures and Facilities (energy management, risk management, waste management, and smart facilities). Conclusion: The smart hospital concept is complex, requiring multidisciplinary collaboration and adherence to health standards. Success depends on optimizing resources, strengthening policies and planning, enhancing information systems, upgrading facilities, and prioritizing smart care processes and medical equipment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.