Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies

Tomasz Mucha; Olli Halminen; Henni Tenhunen; Timo Seppälä

doi:10.3233/SHTI200133

Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies

Tomasz Mucha, Olli Halminen, Henni Tenhunen, Timo Seppälä

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Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Chapter › Scientific › vertaisarvioitu

1 Sitaatiot (Scopus)

43 Lataukset (Pure)

Abstrakti

The use of Artificial Intelligence (AI) technologies within the healthcare sector is growing. However, there are differences in the speed of commercial adoption of AI across sub-sectors. We employ a dataset including news mentions and executive communications of all S&P500 Health Care Index companies to explore these differences. Pharmaceutical and medicine manufacturing companies had the earliest AI-linked news presence, yet they appeared to be among the slowest commercial implementers of AI. Ambulatory health care services and hospitals, as well as insurance carriers, received media coverage later, but were the quickest to take AI into commercial use. From the theory perspective our results indicate that the classical innovation diffusion theory might not fully explain these differences.

Alkuperäiskieli	Englanti
Otsikko	Digital Personalized Health and Medicine
Kustantaja	IOS PRESS
Sivut	113-117
Sivumäärä	5
ISBN (elektroninen)	978-1-64368-083-5
ISBN (painettu)	978-1-64368-082-8
DOI - pysyväislinkit	https://doi.org/10.3233/SHTI200133
Tila	Julkaistu - 16 kesäk. 2020
OKM-julkaisutyyppi	A3 Kirjan osa tai toinen tutkimuskirja
Tapahtuma	Medical Informatics Europe Conference - Online, Geneva, Sveitsi Kesto: 28 huhtik. 2020 → 1 toukok. 2020 Konferenssinumero: 30

Julkaisusarja

Nimi	Studies in Health Technology and Informatics
Kustantaja	IOS PRESS
Vuosikerta	270
ISSN (painettu)	0926-9630

Conference

Conference	Medical Informatics Europe Conference
Lyhennettä	MIE
Maa/Alue	Sveitsi
Kaupunki	Geneva
Ajanjakso	28/04/2020 → 01/05/2020

Pääsy asiakirjaan

10.3233/SHTI200133

Mucha_Commercial.SHTI-270-SHTI200133Final published version, 404 KBLisenssi: CC BY-NC

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title = "Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies",

abstract = "The use of Artificial Intelligence (AI) technologies within the healthcare sector is growing. However, there are differences in the speed of commercial adoption of AI across sub-sectors. We employ a dataset including news mentions and executive communications of all S&P500 Health Care Index companies to explore these differences. Pharmaceutical and medicine manufacturing companies had the earliest AI-linked news presence, yet they appeared to be among the slowest commercial implementers of AI. Ambulatory health care services and hospitals, as well as insurance carriers, received media coverage later, but were the quickest to take AI into commercial use. From the theory perspective our results indicate that the classical innovation diffusion theory might not fully explain these differences.",

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author = "Tomasz Mucha and Olli Halminen and Henni Tenhunen and Timo Sepp{\"a}l{\"a}",

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Mucha, T , Halminen, O , Tenhunen, H & Seppälä, T 2020, Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies. julkaisussa Digital Personalized Health and Medicine. Studies in Health Technology and Informatics, Vuosikerta 270, IOS PRESS, Sivut 113-117, Medical Informatics Europe Conference, Geneva, Sveitsi, 28/04/2020. https://doi.org/10.3233/SHTI200133

Commercial Adoption of AI in the Healthcare Sector : An Exploratory Analysis of S&P500 Companies. / Mucha, Tomasz ; Halminen, Olli ; Tenhunen, Henni et al.

Digital Personalized Health and Medicine. IOS PRESS, 2020. s. 113-117 (Studies in Health Technology and Informatics; Vuosikerta 270).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Chapter › Scientific › vertaisarvioitu

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AB - The use of Artificial Intelligence (AI) technologies within the healthcare sector is growing. However, there are differences in the speed of commercial adoption of AI across sub-sectors. We employ a dataset including news mentions and executive communications of all S&P500 Health Care Index companies to explore these differences. Pharmaceutical and medicine manufacturing companies had the earliest AI-linked news presence, yet they appeared to be among the slowest commercial implementers of AI. Ambulatory health care services and hospitals, as well as insurance carriers, received media coverage later, but were the quickest to take AI into commercial use. From the theory perspective our results indicate that the classical innovation diffusion theory might not fully explain these differences.

KW - Artificial Intelligence

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Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies

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