⚡ Quick Summary
This article explores the transformative potential of human-machine collaboration in healthcare, particularly in addressing the challenges posed by an aging population and uneven medical resource distribution. The study highlights the application of intelligent algorithms across various healthcare domains, aiming to enhance decision-making and patient outcomes.
🔍 Key Details
- 📊 Literature Reviewed: 68 relevant articles
- 🌐 Databases Searched: CNKI, Wanfang Data, VIP, CBM, PubMed, Web of Science, Embase, Cochrane Library
- 🧩 Key Concepts: Human-machine collaboration, Health management, Precision medicine
- 🏥 Application Areas: Disease screening and treatment, health management, medical education, traditional medicine, medical data integration
🔑 Key Takeaways
- 🤖 Human-machine collaboration leverages the strengths of both humans and machines for improved healthcare delivery.
- 📈 Intelligent algorithms play a crucial role in data exchange and decision support.
- 🏥 Traditional healthcare models often struggle with personalized patient care due to centralized management.
- 🌍 The study identifies five main areas where human-computer interaction can significantly impact healthcare.
- 💡 Innovation-driven technology is essential for optimizing healthcare resource allocation.
- 📚 The research aims to drive continuous innovation in healthcare models.
- 🔍 Challenges in implementing human-machine collaboration are acknowledged, emphasizing the need for ongoing research.
📚 Background
The healthcare landscape is undergoing a significant transformation due to the technological revolution and the rise of digital intelligence. As the incidence of chronic diseases increases and the population ages, the demand for quality medical resources becomes more pressing. Traditional healthcare systems often struggle to provide personalized care, leading to poor patient outcomes and increased hospital readmissions. This context sets the stage for exploring innovative solutions like human-machine collaboration.
🗒️ Study
The authors conducted a comprehensive review of existing literature to assess the application of human-computer interaction (HCI) in healthcare. By analyzing data from various databases, they identified 68 studies that illustrate the broad applicability of HCI in enhancing healthcare delivery. The study emphasizes the importance of collaboration between humans and machines in addressing current healthcare challenges.
📈 Results
The findings reveal that human-machine collaboration can significantly improve healthcare outcomes across five key areas: disease screening and treatment, health management, medical education, traditional medicine, and the integration of medical data. This collaboration not only enhances decision-making but also optimizes the allocation of healthcare resources, paving the way for more personalized and effective patient care.
🌍 Impact and Implications
The implications of this study are profound. By embracing human-machine collaboration, healthcare systems can address the pressing challenges of resource distribution and patient management. This innovative approach has the potential to revolutionize healthcare delivery, making it more efficient and tailored to individual patient needs. As we move forward, the integration of technology in healthcare will be crucial for improving patient outcomes and enhancing the overall quality of care.
🔮 Conclusion
This study underscores the critical role of human-machine collaboration in modern healthcare. By leveraging intelligent algorithms and fostering collaboration between humans and machines, we can create a more efficient and effective healthcare system. The future of healthcare lies in innovation, and continued research in this area is essential for driving progress and improving patient care.
💬 Your comments
What are your thoughts on the integration of human-machine collaboration in healthcare? We would love to hear your insights! 💬 Share your comments below or connect with us on social media:
Advances in the application of human-machine collaboration in healthcare: insights from China.
Abstract
In the context of the technological revolution and the digital intelligence era, the contradiction between the rising incidence of diseases and the uneven distribution of quality medical resources is highlighted, and the diagnosis and prevention of diseases, and the prognosis and management of diseases are particularly important in the current society of aging population. “Human-machine collaboration” is based on an intelligent algorithmic system that utilizes the complementary strengths of humans and machines for data exchange, task allocation, decision making and collaborative work to provide more decision support. The traditional healthcare model is highly dependent on the unified management of hospitals, which further increases the burden on the healthcare system and often makes it difficult to formulate and implement personalized and precise rehabilitation programs for patients, which seriously affects their prognosis and quality of life, and increases the risk of re-admission to hospitals. In view of this, human-computer collaboration, an innovation-driven technology, is a groundbreaking solution to the outstanding healthcare issues of today. We use the subject words “Human-machine collaboration” OR “Human-Computer Interaction” OR “HCI” AND “chronic disease” OR “Health management” OR “Precision medicine “were searched for CNKI, Wanfang Data, VIP, CBM, PubMed, Web of science, Embase, Cochrane Library and other Chinese and English databases to identify all relevant studies and compare their results, and finally include 68 relevant literature articles, we identified the broad application of HCI in five main areas: disease screening and treatment, health management, medical education, traditional medicine, and the integration and processing of medical data. The aim is to review the concept of human-computer collaboration, its application in global healthcare environments, and the challenges it faces, with a view to continually driving innovation in healthcare models, optimizing the allocation of healthcare resources, and providing new paradigms for the development and application of innovative technologies in healthcare.
Author: [‘Wang W’, ‘Liu L’]
Journal: Front Public Health
Citation: Wang W and Liu L. Advances in the application of human-machine collaboration in healthcare: insights from China. Advances in the application of human-machine collaboration in healthcare: insights from China. 2025; 13:1507142. doi: 10.3389/fpubh.2025.1507142