Factors Affecting Venture Funding of Healthcare AI Companies.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
04 Jul 2019
Historique:
entrez: 27 7 2019
pubmed: 28 7 2019
medline: 3 9 2019
Statut: ppublish

Résumé

Venture Capital (VC) funding raised by companies producing Artificial Intelligence (AI) or Machine Learning (ML) solutions is on the rise and a driver of technology development. In healthcare, VC funding is distributed unevenly and certain technologies have attracted significantly more funding than others have. We analyzed a database of 106 Healthcare AI companies collected from open online sources to understand factors affecting the VC funding of AI companies operating in different areas of healthcare. The results suggest that there is a significant connection between higher funding and having research organizations or pharmaceutical companies as the customer of the product or service. In addition, focusing on AI solutions that are applied to direct patient care delivery is associated with lower funding. We discuss the implications of our findings for public health technology funding institutions.

Identifiants

pubmed: 31349319
pii: SHTI190070
doi: 10.3233/SHTI190070
doi:

Types de publication

Journal Article

Langues

eng

Pagination

268-271

Auteurs

Olli Halminen (O)

Department of Industrial Engineering and Management, Aalto University, Espoo, Finland.

Henni Tenhunen (H)

Department of Industrial Engineering and Management, Aalto University, Espoo, Finland.

Antti Heliste (A)

Department of Industrial Engineering and Management, Aalto University, Espoo, Finland.

Timo Seppälä (T)

Department of Industrial Engineering and Management, Aalto University, Espoo, Finland.
Research Institute of the Finnish Economy, ETLA, Helsinki, Finland.

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