巴东市基于卫生服务的药学聊天机器人对疑似结核病的识别

S. Siswati, Elsa Giatri, Yolanda Safitri
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引用次数: 0

摘要

结核病是世界十大主要死亡原因中的第一位,印度尼西亚是继印度和中国之后的第三大死亡原因。卫生部长说,有82.4万人疑似患有结核病,并要求所有卫生官员优先开展监测工作,以查找通过姓名和地址发现的结核病患者。到2020年,西苏门答腊省的结核病治愈率为76.9%,尚未达到85%的国家目标,巴东市仅为23%。目的:本研究的目的是利用pharamed Chatbot通过姓名和地址查找结核病疑似病例,以便于发现并克服结核病。方法:这类研究是使用一个20个问题的聊天机器人对疑似结核病病例进行定量描述,以获取姓名、地址和疑似结核病病例的社会数据。结果:838名应答者的结果获得91人疑似结核,应答者构成BPJS者占78.5%,非BPJS者占22.5%。BPJS受访者的生产年龄为15-24岁的26.91%,年龄范围为45-64岁的34.4%。聊天机器人作为数字卫生在获得疑似结核病患者和结核病控制的初步步骤方面相对成功和创新。有必要开发更完整的聊天机器人,并进一步研究印度尼西亚的结核病预防
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Suspected Tuberculosis Using A Pharmamed Chatbot Based on Health Services in The City of Padang
Introduction: TB disease is the first of the 10 leading causes of death in the world, and Indonesia is the 3rd highest country after India and China. The Minister of Health said there were 824,000 people suspected of having TB and asked all health officials to prioritize surveillance efforts to find people with TB detected by name by address. The TB cure rate in West Sumatra Province in 2020 is 76.9% and has not reached the national target of 85% and the city of Padang is only 23%. Objective: The purpose of this study is to find suspected cases of TB using the Pharmamed Chatbot, by name and by address so that they are easy to find to overcome TB. Methods: This type of research is quantitative descriptive of suspected TB cases using a 20-question chatbot to obtain social data by name and by address and suspected cases of TB. Results: The results of 838 respondents obtained 91 people suspected of TB, the composition of respondents BPJS 78.5% and 22.5%, not BPJS. BPJS respondents of productive age 15-24 years 26.91% and age range 45-64 years 34.4%. Chatbots are relatively successful and innovative as digital health in obtaining patients with suspected TB and the initial steps for TB control. It is necessary to develop a more complete chatbot and further research on TB disease prevention in Indonesia
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