ArticleFrontiers in public health2023
Exploring intelligent hospital management mode based on artificial intelligence.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence in Operating Room Management.Journal of medical systems · 2024Pooled it
- Development and Deployment of DeepSeek-Based Applications in Healthcare: A Chinese Perspective.Health care science · 2026Article
- From broad strokes to fine details: qualitative research on the challenges of smart hospitals in Iran.Journal of health, population, and nutrition · 2026Article
- Application management and effectiveness analysis of intelligent logistics robots in hospital drug and specimen delivery scenarios.Scientific reports · 2026Article
- Reshaping Smart Pharmacy in TCM Hospitals via High-Reliability Organization Theory.Journal of multidisciplinary healthcare · 2026Article
- Transition Toward Smart Hospitals: A Scoping Review of Features, Technologies, and Challenges.Health science reports · 2025Review
- AI-assisted assessment of the IFSO consensus on obesity management medications in the context of metabolic bariatric surgery.PLOS digital health · 2025Article
- Feasibility of intelligent logistics management for operational efficiency in smart hospitals: a case study.Scientific reports · 2025Article
- Exploring bias risks in artificial intelligence and targeted medicines manufacturing.BMC medical ethics · 2024Article
- Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives.Healthcare (Basel, Switzerland) · 2024Review
- Effect of refined management in operating room nursing on surgical efficiency and nursing satisfaction during laparoscopic radical resection of colon cancer.American journal of translational research · 2024Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To address the challenges posed by the COVID-19 pandemic, our hospital developed an intelligent hospital management mode specifically tailored to COVID-19 patients. Methods: This study included patients with confirmed diagnosis of COVID-19 admitted to our hospital between January 2020 to December 2022. We sought to explore intelligent hospital management mode based on artificial intelligence (AI) and new technologies such as 5G, Internet of Things (IoT), wearable devices, robots, and small programs. Results: Intelligent hospital management mode can help improve the quality of life of patients, while also improving the management ability of the hospital, as it can automatically deliver timely patient reminders, maintain environmental cleanliness, and help in the transportation of medical equipment without any manual labor. This can help in conserving time and reducing the workload of medical staff. Moreover, itcan help intellectualize patient admission, patient discharge, and hospital management, thereby helping in providing efficient medical and patient humanistic care. Conclusions: The development of intelligent management mode can reduce the burden of medical personnel and the probability of developing infection and bring about timely and better patient care. Intelligent management can play a pivotal role in control of the epidemic, treating patients, allocation of resources, tracing the root cause of the virus, and monitoring.
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