For the use of cloud computation artificial intelligence in non-urban area atrial fibrillation screening, the remote care center portable ECG unit of National Taiwan University Hospital (NTU Hospital) is utilized in conjunction with the tablet computer application program interface for easy operation, along with the remote care data viewing platform built-in with the ECG automatic determination program developed by the TELEHEALTH study group of NTU hospital in order to perform the non-urban area atrial fibrillation screening. In comparison to professional cardiology physicians, the sensitivity of the atrial fibrillation sensitivity is 95.5%, specificity is 97.7% and the satisfaction of screening is of the score of 92.1 points. This prospective research has not only received recognition from the JMIR mHealth and uHealth journal, but also provides a convenient and feasible method to prevent atrial fibrillation. People with atrial fibrillation are found to have 5 times greater potential of risks in stroke and 2 times greater potential of death rate. Presently, despite that there are anticoagulants capable of reducing the hazards of stroke caused by atrial fibrillation, nevertheless, it is estimated that approximately 1/4 of people with atrial fibrillation have not been diagnosed, which is mostly due to their residence at remote or non-urban areas. In this project, with minimum manpower, the utilization of cloud computation artificial intelligence is able to overcome come the insufficient healthcare manpower in order to improve the non-urban area healthcare accessibility such that the public health can be achieved.
"In this project, minimum manpower is able to complete the cloud computation artificial intelligence atrial fibrillation screening, and subjective and objective evaluations have been conducted to verify that the feasibility of this method. The implication of such method is as follows: 1. In response to the recommendations on treatment guidance provided by the American Heart Association and European Society of Cardiology, pulse diagnosis or ECG examination is to be performed on seniors (age>65) in order to detect atrial fibrillation. 2. The minimum manpower and procedure are able to compensate the shortcoming of the insufficient healthcare manpower at non-urban areas in order to improve the healthcare accessibility. 3. Tablet computer application program interface facilitated for operation is able to expedite the atrial fibrillation screening. 4. The use of cloud computation artificial intelligent method in performing data storage, sorting, computation, statistics and diagnosis can be the first line of screening method. In addition, it is able to handle large database computations at a greater scale. 5. The Health Promotion Administration, MOHW, emphasizes on the promotion of public health. If the control of atrial fibrillation is omitted, the impact on the health of older age population can be significant. Therefore, through the national screening, the health of citizens can be improved, and the use of cloud computation artificial intelligence in performing atrial fibrillation screening is a feasible method. "