Journal of evaluation in clinical practice
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Clinical pathways (CPWs) are structured care plans that set out essential steps in the care of patients with a specific clinical problem. Amidst calls for the prioritisation of integrated mental and physical health care for young people, multidisciplinary CPWs have been proposed as a step towards closer integration. There is very limited evidence around CPWs for young people with mental and physical health needs, necessitating a review of the literature. ⋯ This review identified a range of CPW designs but most fell under an integrated model. The results suggest that calls for integrated mental health pathways in this population may be appropriate; however, conclusions are limited by a paucity of evidence.
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Randomized Controlled Trial
Efficacy of a full management model in daytime surgery for gastrointestinal polyps based on WeChat: A study protocol for randomized controlled trials.
The objective of this study is to improve the efficiency of daytime surgery for gastrointestinal polyp and ensure the safety of patients. We tried an information management method based on WeChat platform in patients undergoing daytime gastrointestinal polypectomy and to explore the feasibility and effectiveness of a full management model. ⋯ Through the full management model based on WeChat, the preoperative waiting time, medical reception time, surgical cancellation rate, length of hospital stay and hospitalization cost in the experimental group were less than those in the control group. Patient satisfaction scores were significantly higher than those in the control group and the difference was statistically significant.
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ChatGPT, a large-scale language model, is a notable example of AI's potential in health care. However, its effectiveness in clinical settings, especially when compared to human physicians, is not fully understood. This study evaluates ChatGPT's capabilities and limitations in answering questions for Japanese internal medicine specialists, aiming to clarify its accuracy and tendencies in both correct and incorrect responses. ⋯ This study underscores ChatGPT's potential utility and limitations in internal medicine. While effective in some aspects, its dependence on question type and context suggests that it should supplement, not replace, professional medical judgment. Further research is needed to integrate Artificial Intelligence tools like ChatGPT more effectively into specialized medical practices.
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Machine learning techniques (MLT) build models to detect complex patterns and solve new problems using big data. ⋯ Using created prediction model may allow early identification of mothers with a risk of not breastfeeding their babies exclusively for the first 6 months. In this way, mothers in the risk group can be closely monitored in the early period.