Applying AI To Medical Beds
In the field of healthcare, the application of Artificial Intelligence (AI) is gradually deepening, especially in the niche area of medical beds, where the prospects for AI technology are vast. With the National Health Commission's (NHC) release of the "Notice on Issuing AI Application Scenarios in the Health Industry" on November 14, 2023, the development of intelligent medical beds has received new policy support and industry guidance.
I. The Current Status of AI Application in the Field of Medical Beds
1.1 Intelligent Diagnostic and Treatment Assistance
The application of AI technology in the field of intelligent diagnostics and treatment has already achieved significant results. For example, Baidu's Lingyi large model, utilizing its powerful data processing capabilities, has been applied in more than 200 medical institutions, significantly improving the accuracy and efficiency of diagnoses. In addition, MedGPT, a large model launched by MedLinker, is based on the Transformer architecture, with a parameter scale reaching 100B (trillion-level), and it used over 2 billion medical text data during the pre-training phase, committed to achieving a full process of intelligent diagnostics and treatment from disease prevention to rehabilitation.
1.2 Personalized Treatment Plans
In terms of personalized treatment, AI large models can create precise patient profiles and formulate personalized treatment plans, helping to achieve a patient management strategy that caters to individual needs. For instance, the Yuanquan large model from Round Heart Technology assigns tags to each user, and the management service focuses on patient medication compliance, combined drug predictions, and disease rehabilitation management based on different characteristics of individuals.
1.3 Improvement in Medical Quality Control
The application of AI large models has also made breakthroughs in the field of medical quality control. The medical large model launched by Hui Mei Technology, when applied in the scenario of medical record quality control, can simulate human experts, automatically analyze the intrinsic defects in medical records, and push defect issues and modification suggestions through CDSS for doctors to reference when modifying medical records.
II. Technological Advances of AI Technology in the Field of Medical Beds
2.1 Voice Recognition and Control Technology
In terms of control technology for medical beds, voice recognition technology has already made practical progress. A study on the control needs of anti-pressure sore multifunctional medical beds has researched voice recognition technology, allowing voice control of medical bed functions such as back pushing and turning, sitting posture conversion, and free leg lifting, which is highly practical and economically beneficial.
2.2 Intelligent Operating Room Management
Intelligent operating room management is another application scenario for AI technology in the field of medical beds. By integrating technologies such as artificial intelligence and digital twins, it comprehensively analyzes the urgency of surgery, expected duration, patient condition, doctor's work schedule, and the availability of operating rooms, automatically arranges surgeries, optimizes surgical plans, and enhances the efficiency of operating room operations.
III. Industry Impact of AI in the Field of Medical Beds
3.1 Enhancing Medical Service Efficiency
The application of AI technology can greatly enhance the efficiency of medical services. In clinical decision support systems, AI can combine multimodal data (such as genomics, medical imaging, electronic medical records, etc.) to provide precise, real-time medical support, greatly improving the efficiency and quality of medical services.
3.2 Improving Patient Experience
The application of AI technology can also improve the patient experience. For example, AI drug instructions not only support patients in reading drug information but also support patients in asking questions to AI drug instructions through text or voice, providing a more convenient channel for patient education and information acquisition.
IV. Future Development Trends of AI in the Field of Medical Beds
4.1 Deep Integration of Intelligent and Personalized Services
With the continuous advancement of AI technology, intelligence and personalization will deeply integrate in the field of medical beds. Future medical beds will be more intelligent, capable of automatically adjusting according to the needs and conditions of patients, providing more personalized medical services.
4.2 Integrated Application of Interdisciplinary Technologies
Future medical beds will integrate more interdisciplinary technologies, such as the Internet of Things, big data, cloud computing, etc., to achieve more intelligent management and services.
4.3 Strengthening International Cooperation and Exchange
With the advancement of globalization, international cooperation and exchange will play an increasingly important role in the field of AI medical beds. Through international cooperation, advanced AI technologies from abroad can be introduced to promote the innovative development of China's medical industry.
The application prospects of AI technology in the field of medical beds are broad, and the "Notice on Issuing AI Application Scenarios in the Health Industry" released by the NHC provides policy support and industry guidance for the development of intelligent medical beds. With the continuous advancement of technology and the deepening of applications, AI technology will play an increasingly important role in the field of medical beds, contributing to enhancing medical service efficiency, improving patient experience, and promoting the innovative development of the medical industry.