Chekin Nasrin, Ayatollahi Haleh, Karimi Zarchi Mojgan
Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.
JMIR Med Inform. 2022 Jun 22;10(6):e34753. doi: 10.2196/34753.
Cervical cancer has been recognized as a preventable type of cancer. As the assessment of all the risk factors of a disease is challenging for physicians, information technology and risk assessment models have been used to estimate the degree of risk.
The aim of this study was to develop a clinical decision support system to assess the risk of cervical cancer.
This study was conducted in 2 phases in 2021. In the first phase of the study, 20 gynecologists completed a questionnaire to determine the essential parameters for assessing the risk of cervical cancer, and the data were analyzed using descriptive statistics. In the second phase of the study, the prototype of the clinical decision support system was developed and evaluated.
The findings revealed that the most important parameters for assessing the risk of cervical cancer consisted of general and specific parameters. In total, the 8 parameters that had the greatest impact on the risk of cervical cancer were selected. After developing the clinical decision support system, it was evaluated and the mean values of sensitivity, specificity, and accuracy were 85.81%, 93.82%, and 91.39%, respectively.
The clinical decision support system developed in this study can facilitate the process of identifying people who are at risk of developing cervical cancer. In addition, it can help to increase the quality of health care and reduce the costs associated with the treatment of cervical cancer.
宫颈癌已被公认为是一种可预防的癌症。由于对医生来说评估一种疾病的所有风险因素具有挑战性,因此已使用信息技术和风险评估模型来估计风险程度。
本研究的目的是开发一种临床决策支持系统以评估宫颈癌风险。
本研究于2021年分两个阶段进行。在研究的第一阶段,20名妇科医生完成了一份问卷,以确定评估宫颈癌风险的基本参数,并使用描述性统计方法对数据进行分析。在研究的第二阶段,开发并评估了临床决策支持系统的原型。
研究结果表明,评估宫颈癌风险最重要的参数包括一般参数和特定参数。总共选择了对宫颈癌风险影响最大的8个参数。在开发临床决策支持系统后,对其进行了评估,灵敏度、特异度和准确度的平均值分别为85.81%、93.82%和91.39%。
本研究开发的临床决策支持系统可以促进识别有患宫颈癌风险人群的过程。此外,它有助于提高医疗保健质量并降低与宫颈癌治疗相关的成本。