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1.
Journal of Medical Postgraduates ; (12): 755-759, 2020.
Artículo en Chino | WPRIM | ID: wpr-822597

RESUMEN

ObjectiveAs a new mode and format of health care service, Internet hospital has created a convenient and efficient medical treatment channel for patients and promoted more access to high-quality medical resources. In order to better identify patients′ service demands of Internet hospitals and thus meet people′s diversified health needs, refined classification management of service demands of Internet hospitals is implemented by KANO model, so as to promote the improvement of service quality of Internet hospitals and enhance patient satisfaction as well.MethodsBased on the analysis ideas of KANO model, 300 patients were randomly selected from the social pharmacy of an Internet hospital for questionnaire survey and service demand survey.ResultsIn the KANO requirement attribute classification of Internet hospital service items, there were 6 items belonging to charm attribute, 10 items belonging to expectation attribute and 5 items belonging to necessity attribute. Service items corresponding to expected attributes and necessary attributes account for more than 70% of Internet hospital services.ConclusionThe application of KANO model to the service demand survey of Internet hospitals can effectively improve the service management level of Internet hospitals, and the continuous improvement of service quality of Internet hospitals requires regular monitoring of service demand changes.

2.
Journal of Medical Postgraduates ; (12): 1080-1083, 2019.
Artículo en Chino | WPRIM | ID: wpr-818144

RESUMEN

The introduction of artificial intelligence into the medical field is also facing social ethical challenges while promoting changes in the field of health services. To realize the healthy development of medical artificial intelligence, we must consider the ethical issues inherent in the application of artificial intelligence technology in medical services. The article analyzes the ethical issues brought about by medical artificial intelligence from the aspects of security, doctor’s principal status, doctor-patient relationship, and fair benefit. By implementing special supervision, clarifying the principal status of doctors, and strengthening ethical protocols, the application of artificial intelligence in medical services will be guided to promote artificial intelligence to better improve the service capabilities and quality of healthcare system.

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