Open AccessImplementation of Machine Learning in Health Management to Improve the Process of Medical Appointments in Perú
Author(s) -
Edwin Jose Kcomt Ponce,
AUTHOR_ID,
Enrique Lee Huamaní,
Alexi Delgado
Publication year - 2022
Publication title -
international journal emerging technology and advanced engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-2459
DOI - 10.46338/ijetae0222_09
Subject(s) - schedule , health care , process (computing) , health management system , service (business) , digital health , health services , computer science , modernization theory , quality (philosophy) , knowledge management , process management , operations management , business , medicine , engineering , marketing , population , philosophy , alternative medicine , environmental health , epistemology , pathology , economics , economic growth , operating system
The Peruvian health system has presented various deficiencies, one in particular is the difficulty and time for a user to schedule a medical appointment, in various health centers nationwide it is a problem for many citizens to easily access the health service. This research proposes developing a mobile app that allows automating this process by streamlining the procedures that lead to good health management to optimize both financial and human resources for better performance, quality and user experience that is insured at the service of ESSALUD. The results show that digital transformation and modernization with the support of technology significantly improve health management and therefore the medical appointment process, as well as other aspects that reduce the time of care and guarantee a reduction in the administrative work of the personnel of health allowing them to spend more time in patient care. Keywords—artificial intelligence; health; health management; machine learning; medical appointment