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Goldina T.A.

Sanofi Russia

Burmistrov V.A.

AO Sanofi Russia

Efimenko I.V.

Semantic Hub LLC

Khoroshevskiy V.F.

Federal Research Center «Computer Science and Management»

Artificial Intelligence in Healthcare: Real World Data and Patient Voice — Are We Ready for New Realities?

Authors:

Goldina T.A., Burmistrov V.A., Efimenko I.V., Khoroshevskiy V.F.

More about the authors

Journal: Medical Technologies. Assessment and Choice. 2021;43(2): 22‑31

DOI: 10.17116/medtech20214302122

Read: 3600 times

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Table of contents

ARTIFICIAL INTELLIGENCE IN HEALTHCARE: REAL WORLD DATA AND PATIENT VOICE — ARE WE READY FOR NEW REALITIES?
ARTIFICIAL INTELLIGENCE IN HEALTHCARE: REAL WORLD DATA AND PATIENT VOICE — ARE WE READY FOR NEW REALITIES?

To cite this article:

Goldina TA, Burmistrov VA, Efimenko IV, Khoroshevskiy VF. Artificial Intelligence in Healthcare: Real World Data and Patient Voice — Are We Ready for New Realities? Medical Technologies. Assessment and Choice. 2021;43(2):22‑31. (In Russ.)
https://doi.org/10.17116/medtech20214302122

Подписка 2026 Медицинские технологии. Оценка и выбор (Medical Technologies. Assessment and Choice)
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

Currently, one of the main trends in healthcare digitalization is application of the methods and tools of artificial intelligence (AI) and new information technologies for decision-making. At the same time, great attention is paid to patient-oriented approach among other medical technologies. This manuscript is devoted to systematization of the methods and tools of AI in healthcare and pharmaceutical industry, identification of new terms in the context of new realities considering new challenges and possible responses, updating of the role and features of routine practice data (Real World Data, RWD) in digital technologies. RWD underlie many processes and tasks in healthcare and pharmaceutical industry and have a significant role in data governance. Clinical Decision Support Software (CDSS) should be considered as medical technologies. Along with Real World Evidence (RWE), CDSS can be used in healthcare decision-making. Thus, we can observe a systematic approach in technologies themselves and one of their foundations (Real World Data) associated with development of digital technologies. Current challenges and limitations are also common for such areas as AI, RWD and RWE.

Keywords:

artificial intelligence
new information technologies
decision support
machine learning
natural language processing
real world data
real world evidence
patient voice

Authors:

Goldina T.A.

Sanofi Russia

Burmistrov V.A.

AO Sanofi Russia

Efimenko I.V.

Semantic Hub LLC

Khoroshevskiy V.F.

Federal Research Center «Computer Science and Management»

Received:

09.03.2021

Accepted:

23.03.2021

Close metadata

References:

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