Strategy with AI!Strategy Management and Decision Support with AI : A Case Study of Regional Hospital

Abstract

With the advancement of computer technology and the digitization of a large amount of medical information big data analysis has become popular We can use Google Trends to search for relevant keywords It can be found that the search volume of big data begun in 2014 has become popular and the popularity for artificial intelligence has increased from 2016 Breakthroughs in deep learning and medical imaging-assisted diagnosis coupled with recognition technology capabilities have sprung up so the medical ecology will enter another series of revolutions The analysis results of big data influence decision-making process How the medical system should face artificial intelligence? Whether the medical assistant diagnostic system and image recognition system can replace the work of clinicians and hospital management what should be done? In the face of the offense of deep learning and artificial intelligence what strategies should clinicians and hospital management can to face and accept it or use it to formulate policies? Medical diagnosis is the most critical step in medical care Make a mistake in this step will cause improper or delayed treatment of patients This is also the most important ability of physicians in medical practice This ability will be different according to clinician’s experience Reducing medical mistakes is the most important ability for physicians to practice Artificial intelligence has many characteristics including fast accurate repeatable and low-cost It is getting more and more attention in various fields Computing technology and capabilities are used to learn from previous medical databases Applying it to medical diagnosis can help clinicians quickly integrate and create new information and then predict It can turn the saved time into care for patients and improves the doctor-patient relationship

Date of Award	2020
Original language	English
Supervisor	Sheng-Tun Li (Supervisor)