Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol.
Ciarán D McInerneyCarolyn McCrorieJonathan BennIbrahim HabliTom LawtonTeumzghi F MebrahtuRebecca RandellNaeem SheikhOwen JohnsonPublished in: BMJ open (2022)
This protocol has been approved by the University of Leeds Engineering and Physical Sciences Research Ethics Committee (#MEEC 20-016) and the National Health Service Health Research Authority (IRAS No.: 285933). Our results will be communicated through peer-reviewed publications in international journals and conferences. We will provide ongoing feedback as part of our engagement work with local trust stakeholders.
Keyphrases
- artificial intelligence
- big data
- machine learning
- healthcare
- quality improvement
- randomized controlled trial
- deep learning
- liver failure
- palliative care
- public health
- physical activity
- mental health
- case report
- study protocol
- respiratory failure
- social media
- emergency department
- systematic review
- clinical trial
- acute care
- drug administration
- meta analyses