Your browser doesn't support javascript.
Customer Centricity in Medical Affairs Needs Human-centric Artificial Intelligence.
Bedenkov, Alexander; Moreno, Carmen; Agustin, Lyra; Jain, Nipun; Newman, Amy; Feng, Lana; Kostello, Greg.
  • Bedenkov A; AstraZeneca Medical Affairs, International Region, Luton, UK.
  • Moreno C; AstraZeneca Medical Affairs, International Region, Madrid, Spain.
  • Agustin L; AstraZeneca Medical Affairs, International Region, Luton, UK.
  • Jain N; AstraZeneca Medical IT, International Region, Bangalore, India. Nipun.Jain@astrazeneca.com.
  • Newman A; AstraZeneca Global Medical Affairs, BioPharmaceutical Business, Gaithersburg, MD, USA.
  • Feng L; HUMA.AI, San Francisco, CA, USA.
  • Kostello G; HUMA.AI, San Francisco, CA, USA.
Pharmaceut Med ; 35(1): 21-29, 2021 01.
Article in English | MEDLINE | ID: covidwho-1037215
ABSTRACT
The evolution of healthcare, together with the changing behaviour of healthcare professionals, means that medical affairs functions of pharmaceutical organisations are constantly reinventing themselves. The emergence of digital ways of working, expedited by the COVID-19 pandemic, means that pharmaceutical-healthcare relationships are evolving to operate in an increasingly virtual world. The value of the pharmaceutical medical affairs function is dependent on understanding customers' needs and providing the right knowledge at the right time to physicians. This requires a human-centric artificial intelligence (AI) approach for medical affairs, which allows the function to query internal and external data sets in a conversational format and receive timely, accurate and concise intelligence on their customers.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Delivery of Health Care, Integrated / Information Management / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Pharmaceut Med Year: 2021 Document Type: Article Affiliation country: S40290-020-00378-1

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Delivery of Health Care, Integrated / Information Management / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Pharmaceut Med Year: 2021 Document Type: Article Affiliation country: S40290-020-00378-1