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分化型甲状腺癌人工智能语音随访系统的构建及应用

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目的 构建分化型甲状腺癌人工智能语音随访系统,评价该系统信息采集的完整性和准确性。方法 根据分化型甲状腺癌患者术后用药及复查情况,构建分化型甲状腺癌人工智能语音随访系统。对2024年2月25-29日本院甲乳血管外科甲状腺癌数据库管理系统中未进行随访的2 471例分化型甲状腺癌患者进行电话随访,并随机抽取10%,对220例患者的通话记录进行完整性和准确性分析。结果 本研究成功构建分化型甲状腺癌人工智能语音随访系统,总体电话接通率为88。9%。对于呼叫成功的患者,人工智能语音随访系统的随访平均用时(1。7±0。5)min,总体信息采集完整率为83。8%,术后3个月随访信息采集完整率为92。9%,术后长期随访信息采集完整率为82。7%,差异有统计学意义(x2=15。200,P<0。001)。该随访系统信息采集准确率为94。1%。说方言随访者和说普通话随访者的信息采集准确率分别为92。2%和95。4%,差异无统计学意义(x2=0。957,P=0。389)。结论 分化型甲状腺癌人工智能语音随访系统具有较高的信息采集效率、完整性和准确性,可降低随访人力成本,在大规模分化型甲状腺癌人群随访中具有良好的应用前景。
Establishment and application of artificial intelligence voice follow-up system for differentiated thyroid cancer
Objective To establish an artificial intelligence voice follow-up system for differenti-ated thyroid cancer and evaluate the completeness and accuracy of information collection by this sys-tem.Methods Based on the postoperative medication and follow-up status of patients with differenti-ated thyroid cancer,an artificial intelligence voice follow-up system for differentiated thyroid cancer was established.From February 25 to 29,2024,a total of 2,471 differentiated thyroid cancer pa-tients without follow-up in the thyroid cancer database management system of the Department of Thy-roid and Breast Vascular Surgery of the Hospital were followed up by telephone,and 220 patients(approximately 10%of the total)were randomly selected for completeness and accuracy analyses of their call records.Results This study successfully established an artificial intelligence voice follow-up system for differentiated thyroid cancer,and the overall call connection rate was 88.9%.For pa-tients with successful calls,the average follow-up time of the artificial intelligence voice follow-up sys-tem was(1.7±0.5)minutes,the overall information collection completeness rate was 83.8%,with a completeness rate of 92.9%for follow-up at 3 months after surgery and 82.7%for long-term follow-up,and the differences were statistically significant(x2=15.200,P<0.001).The accuracy rate of information collection by this follow-up system was 94.1%.The accuracy rates of information collec-tion for patients who spoke dialect and Mandarin during follow-up were 92.2%and 95.4%respective-ly,and the difference was not statistically significant(x2=0.957,P=0.389).Conclusion The arti-ficial intelligence voice follow-up system for differentiated thyroid cancer has high efficiency,complete-ness,and accuracy in information collection,which can reduce human costs for follow-up and has good application prospects in large-scale follow-up of populations with differentiated thyroid cancer.

differentiated thyroid cancerartificial intelligencefollow-up systemtelephone follow-upinformation collection

郭丝锦、延常姣、王洋、曹小花、王廷

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中国人民解放军空军军医大学第一附属医院甲乳血管外科,陕西西安,710032

分化型甲状腺癌 人工智能 随访系统 电话随访 信息采集

陕西省重点研发项目

2021JZ-29

2024

实用临床医药杂志
扬州大学,中国高校科技期刊研究会

实用临床医药杂志

CSTPCD
影响因子:1.543
ISSN:1672-2353
年,卷(期):2024.28(16)
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