Please use this identifier to cite or link to this item: https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/1090
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCipriani, Andrea-
dc.date.accessioned2022-07-13T19:57:33Z-
dc.date.available2022-07-13T19:57:33Z-
dc.date.issued2022-04-
dc.identifier.citationO'Dell B, Stevens K, Tomlinson A, Ilina Singh, Andrea Cipriani. Building trust in artificial intelligence and new technologies in mental healthEvidence-Based Mental Health 2022;25:45-46.en
dc.identifier.urihttps://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/1090-
dc.descriptionAvailable with an NHS OpenAthens log in for eligible usersen
dc.description.abstractIn 2019, the Topol review was published on behalf of the secretary of state for health and social care in the UK, preparing the healthcare workforce to deliver the digital future.1 A multidisciplinary team of experts, including clinicians, researchers, ethicists, computer scientists, engineers and economists, reviewed the available data and projected into the future (ie, next 20 years) two key questions: what impact technological developments (including genomics, artificial intelligence (AI), digital medicine and robotics) will have on the roles and functions of National Health System clinical staff? How could this innovation (ie, biosensors, electronic patient record, smartphone apps, digital infrastructure and virtual reality) ensure safer, more productive, more effective and more personalised care for patients? It is now widely recognised that data science and information technologies enable understanding of the uniqueness of each individual and the ability to deliver healthcare on a far more timely, efficient and tailored basis.en
dc.description.urihttp://dx.doi.org/10.1136/ebmental-2022-300489en
dc.language.isoenen
dc.subjectArtificial Intelligence (AI)en
dc.subjectMental Health (General)en
dc.titleBuilding trust in artificial intelligence and new technologies in mental healthen
dc.typeArticleen
Appears in Collections:Digital Medicine

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.