Data sharing: using blockchain and decentralized data technologies to unlock the potential of artificial intelligence: What can assisted reproduction learn from other areas of medicine?


Journal

Fertility and sterility
ISSN: 1556-5653
Titre abrégé: Fertil Steril
Pays: United States
ID NLM: 0372772

Informations de publication

Date de publication:
11 2020
Historique:
received: 25 09 2020
accepted: 25 09 2020
entrez: 8 11 2020
pubmed: 9 11 2020
medline: 19 5 2021
Statut: ppublish

Résumé

The extension of blockchain use for nonfinancial domains has revealed opportunities to the health care sector that answer the need for efficient and effective data and information exchanges in a secure and transparent manner. Blockchain is relatively novel in health care and particularly for data analytics, although there are examples of improvements achieved. We provide a systematic review of blockchain uses within the health care industry, with a particular focus on the in vitro fertilization (IVF) field. Blockchain technology in the fertility sector, including data sharing collaborations compliant with ethical data handling within confines of international law, allows for large-scale prospective cohort studies to proceed at an international scale. Other opportunities include gamete donation and matching, consent sharing, and shared resources between different clinics.

Identifiants

pubmed: 33160515
pii: S0015-0282(20)32402-X
doi: 10.1016/j.fertnstert.2020.09.160
pii:
doi:

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

927-933

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

Auteurs

Cristina Fontes Lindemann Hickman (CFL)

Apricity, Paris, France; Institute of Reproduction and Developmental Biology, Imperial College London, London, United Kingdom; TMRW Life Sciences, New York, New York.

Hoor Alshubbar (H)

Apricity, Paris, France; Institute of Reproduction and Developmental Biology, Imperial College London, London, United Kingdom.

Jerome Chambost (J)

Apricity, Paris, France.

Celine Jacques (C)

Apricity, Paris, France.

Chris-Alexandre Pena (CA)

Apricity, Paris, France.

Andrew Drakeley (A)

Hewitt Fertility Centre, Liverpool Women's Hospital, Liverpool, United Kingdom.

Thomas Freour (T)

Service de Médecine et Biologie de la Reproduction, CHU de Nantes, Nantes, France; Centre de Recherche en Transplantation et Immunologie, INSERM, Université de Nantes, Nantes, France.

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Classifications MeSH