University of Iowa Health Care (UI Health Care) has shared how artificial intelligence is being utilised within the organisation with the aim of supporting teams, reducing the administrative burden, and developing stronger connections with patients.
In order to shape future directions with regards to technology use, UI Health Care sought feedback from clinicians on the strengths and weaknesses of current systems such as the electronic health record, with clinician feedback highlighting particular challenges around integration outside patient records; chart review; and clinician documentation.
Two new tools have been implemented in order to tackle these challenges: Evidently, a chart review application utilising artificial intelligence to summarise and display all relevant patient data in one place, and Nabla, an advanced ambient scribing tool capable of taking notes for clinicians during a patient visit in order to allow the clinician to focus their attention on the individual in front of them.
Evidently was piloted with 20 providers across specialties and give members of UI Health Care’s clinical documentation improvement team to test how well it identified conditions, with “strong positive feedback” gained on the tool and over 2,000 clinicians accessing the application on the first day.
A five-week pilot of Nabla found that participating clinicians rated it 4.3 out of 5 for clinical note taking, and reported a 26 percent reduction in burnout symptoms.
In other news from the USA, HTNI reported now New York’s Mount Sinai Health System has announced a new research collaboration with IBM Research, Harvard, Johns Hopkins, Columbia, Carnegie Mellon, and Deliberate AI, using AI and behavioural data to predict outcomes such as treatment discontinuation, hospitalisations and ED visits for young people seeking mental health evaluation and treatment.
We also highlighted how USA non-profit organisations OCHIN and OSIS’s announcement that they would enter a formal partnership with the aim of helping to address challenges facing the healthcare delivery system.
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