The use of modern MIS with elements of artificial intelligence in nephrology and precision renal replacement therapy
Chronic kidney disease (CKD) is a serious, rapidly growing global health problem. The etiological heterogeneity of CKD, continuously increasing volumes of patient data, the need for simultaneous monitoring of a number of vital indicators, annually increasing requirements for the quality of medical care - this is an incomplete list of what makes it necessary to implement modern medical information systems (MIS), including elements of artificial intelligence/medical decision support systems (AI/CDSS) into the practice of a nephrologist. In our review, we tried to describe modern achievements in the digitalization of nephrological care in the world using MIS with AI to solve a wide variety of problems.Bolshakov S.A., Shutov E.V., Dolidze D.D., Sorokoletov S.M.
Keywords
CKD
hemodialysis
peritoneal dialysis
MIS
artificial intelligence
CDSS
About the Authors
Evgeny V. Shutov – MD, PhD, Head of the Interdistrict Nephrology Center, Botkin State Clinical Hospital, Moscow, Russia, Head of the Department of Nephrology and Dialysis, Russian Medical Academy of Continuing Professional Education ; e-mail: shutov_e_v@mail.ru. https://orcid.org/0000-0002-1047-0378.Stepan A. Bolshakov – Therapist, junior researcher of the department of science of Botkin State Clinical Hospital, Moscow, Russia; e-mail: my@stepan-bolshakov.ru. https://orcid.org/0000-0002-4556-6740.
David D. Dolidze – MD, PhD, Professor, Head of scientific-clinical department, Botkin State Clinical Hospital, Moscow, Russia. e-mail: ddolidzed@mail.ru. https://orcid.org/0000-0002-0517-8540.
Sergey M. Sorokoletov – MD, PhD, deputy chief physician for therapeutic care of Botkin State Clinical Hospital, Moscow, Russia; e-mail: sorokoletov-sm@mail.ru. https://orcid.org/0000-0002-2637-8197.
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