After surgery, hospitals usually call patients to check on their recovery. Nurses or office staff do these calls by hand. This process takes a lot of time and needs many workers. While personal, manual calls can be slow and expensive. AI-assisted systems use machines and computer programs to call patients automatically. These systems can call many people at once. They also use speech recognition to understand answers and try to sound like a real person to avoid sounding too mechanical.<\/p>\n
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At Peking Union Medical College Hospital (PUMCH), they tested an AI call system from April 2019. The study focused on patients who had orthopedic surgery. They looked at 270 patients who received AI calls and compared them to 2,656 patients called by staff. The goal was to see how well the two systems worked and how patients responded.<\/p>\n
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One important measure is how many calls actually reach patients. The study found no big difference between manual and AI calls on this. Manual calls reached patients 93.3% of the time, while AI calls reached them 92.2% of the time. Overall follow-up rates were also very close: 92.9% for manual and 92.8% for AI.<\/p>\n
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This means that switching to AI calls in the U.S. will not reduce the chance of reaching patients. Keeping high contact rates is important for checking on patient health after surgery and avoiding problems.<\/p>\n
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Feedback collection means getting patients to share their thoughts and satisfaction during follow-ups. The study showed AI calls collected feedback much more often\u201410.3% compared to 2.5% for manual calls. That is about four times higher.<\/p>\n
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This is important for healthcare offices that want better quality checks and patient input. AI systems ask specific questions which help gather more answers. This lets staff catch problems earlier and more reliably.<\/p>\n
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The type of feedback patients gave was different between the two methods. In manual calls, 87% of feedback was about medical questions. In AI calls, only 10.7% was about medical concerns. Most responses in the AI group focused on nursing care (28.6%), health education (7.1%), and hospital environment (53.6%).<\/p>\n
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AI calls seem to get patients to think more about their overall care, not just medical issues. For U.S. healthcare managers, this can help improve nursing and hospital conditions along with medical treatment.<\/p>\n
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Time is very important in hospitals and clinics. Manual follow-up calls took about 9.3 hours for every 100 patients. AI-assisted calls took almost no staff time because many calls can happen at once without workers making each call.<\/p>\n
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This saves money and lets nurses and staff focus on other important tasks. For U.S. practices with few workers or many patients, AI follow-ups improve how time is used.<\/p>\n
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