Application of artificial intelligence phonetic system in postoperative follow-up of day surgery patients_West China Medical Journal

Authors：

FAN Yiling ,  ZHANG Jidong , JIA Hao , WU Lingdi , HU Xiaohong , WEN Daxiang

Medical Department, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200127, P. R. China;

Corresponding?author：

ZHANG Jidong, Email: zhangjidong@renji.com

Keywords：

Artificial intelligence; Intelligent medicine; Intelligent voice; Day surgery

DOI：

10.7507/1002-0179.201901173

Video：

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Objective To explore the application of artificial intelligence in postoperative follow-up of day surgery patients, so as to establish an intelligent medical framework, promote the intelligent process of hospitals, and improve the management level of day surgery.Methods The artificial intelligence phonetic system was carried out by the Day Surgery Center, Renji Hospital, Shanghai Jiaotong University School of Medicine on June 1st, 2018. Through the system, the artificial intelligence voice system based on speech and semantic recognition technology was adopted to connect the data of the information center in the hospital to carry out postoperative follow-up of day surgery patients. We selected the 2 245 patients followed up by the artificial intelligence phonetic system from June 1st to November 30th 2018 (the AI follow-up group) and the 2 576 patients followed up by the traditional manual method from January 2nd to May 31st 2018 (the manual follow-up group), to compare the telephone connection rate, information collection rate, and call duration between them.Results There was no statistically significant difference in telephone connection rate (85.70% vs. 86.68%) or information collection rate (98.86% vs. 98.48%) between the AI follow-up group and the manual follow-up group (P>0.05); but there was a statistically significant difference in call duration between the AI follow-up group and the manual follow-up group [(165.48±43.28) vs. (135.37±36.31) seconds, P<0.05], and the AI follow-up group had a longer call duration.Conclusions The application of artificial intelligence phonetic system in surgery has a good performance in call connection rate and information collection integrity. It plays an active role in improving efficiency, extending medical services and strengthening medical safety in the management of day surgery.

Citation： FAN Yiling, ZHANG Jidong, JIA Hao, WU Lingdi, HU Xiaohong, WEN Daxiang. Application of artificial intelligence phonetic system in postoperative follow-up of day surgery patients. West China Medical Journal, 2019, 34(2): 164-167. doi: 10.7507/1002-0179.201901173 Copy

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1. 劉鵬宇. 人工智能撬動智慧醫療. 互聯網經濟, 2017(3): 12-15.
2. 甘玉玨, 蘇軍根, 林健, 等. 智能語音產品現狀及展望. 廣東通信技術, 2017(12): 66-68.
3. 馬洪升, 戴燕. 日間手術治療模式國內外發展簡述. 中國醫院管理, 2012, 32(1): 47-48.
4. 賈昊, 張繼東, 聞大翔, 等. 應用品管圈探索日間手術醫院-社區延伸康復模式的實踐. 華西醫學, 2017, 32(4): 483-487.
5. 張繼東, 聞大翔, 駱華杰, 等. 日間醫療的實踐探索與思考. 中華醫院管理雜志, 2017, 33(5): 345-348.
6. 張繼東, 聞大翔, 范關榮. 日間手術對縮短平均住院日的影響. 中國醫院管理, 2009, 29(11): 27-28.
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8. 黃柳. 人工智能 AI 落地英美各類醫療機構. 中國醫院院長, 2017(12): 82-83.
9. 國務院. 新一代人工智能發展規劃. (2017-07-20)[2018-01-02]. http://www.gov.cn/zhengce/content/2017-07/20/content_ 5211996.htm.
10. 崔文彬, 唐燕, 劉永斌, 等. 智慧醫院建設理論與實踐探索. 中國醫院, 2017, 21(8): 1-4, 8.
11. 修燕, 李勇, 梁敏, 等. 研究型醫院智慧醫療體系構建的初步實踐. 中華醫院管理雜志, 2016, 32(1): 58-61.
12. 曹艷林, 王將軍, 陳璞, 等. 人工智能對醫療服務的機遇與挑戰. 中國醫院, 2018, 22(6): 25-28.
13. 劉佳. 人工智能: 撬動智慧醫療. 中國信息化, 2018(5): 85-87.
14. 陸春吉, 李軍蓮, 郭進京, 等. 醫療人工智能與臨床醫學術語標準. 醫學信息學雜志, 2018(5): 8-11, 24.
15. 陳梅, 呂曉娟, 張麟, 等. 人工智能助力醫療的機遇與挑戰. 中國數字醫學, 2018(1): 16-18.

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