Automation, Trustworthy, Intelligent Prenatal Examinations - I Do!!
Chih-Kun Ke, Mei-Yu Wu, Bor-Lin Chung · 2024
Medical institutions are looking forward to importing innovative information services to reduce the burden on medical staff. For example, medical staff repeatedly process the contextual data in each stage of the prenatal examinations, which is labor-intensive and time-consuming. If a dispute happens, the data will become the evidence to support whether the prenatal examinations were handled appropriately. Therefore, if the prenatal examination data is not accurately recorded and properly preserved, it will become a source of pressure for medical staff to face disputes in the future. This research takes the prenatal examinations of pregnant as a use case. We apply robotic process automation technology to assist in the automation of prenatal examinations and blockchain technology to establish trustworthy prenatal examinations. Besides, we also use generative artificial intelligence technology to provide intelligent user-assisted consultation in open-domain question answering. The contribution of this work is to build an automated reliable prenatal examination information service to provide good care for pregnant.