Quality and Safety
Nursing and IT
Integrating analytics and care coordination recommendations into EHR workflows has helped reduce lengths of stay, says the health system's COO – lowering costs, boosting patient access and reducing burdens for nurses and other clinicians.
AI & ML Intelligence
Stanford Health Care's Troy Foster believes the technology has enormous potential but still is a work in progress. He explains why providers will need to properly socialize and monitor the rollout and implementation of ambient voice.
By modernizing systems and improving leadership and culture to embrace reporting, healthcare organizations can better address the top 10 patient safety concerns for 2024, says Heidi Raines, founder and CEO of Performance Health Partners.
AI & ML Intelligence
AI-enabled computer vision could be a game-changer, says one CEO, who also discusses the risks of generative AI and the promise of automated transcription, which is already proving itself.
Artificial intelligence continues to permeate technologies that providers use. This week, it's helping to find relevant talent to improve data usage in care coordination and enhance signal-to-noise ratio in MRIs.
Memotext's digital therapeutic app for mental health patients can help caregivers engage with patients and identify the risks for relapse and readmission, says company founder Amos Adler, who discusses the markets in each country.
Justin Ryan, director and research scientist in the Webster Foundation 3D Innovations Lab at Rady Children's Hospital, gives a deep dive on the creation and application of this complex tool made user-friendly for any provider.
A recent health survey showed 47-49% of American respondents saying they had no objection to clinicians deploying AI tools to make diagnoses. Mark Polyak, president of global data management at IPSOS, discusses those results.
Health organisations must understand the needs of their staff and processes first before adding new technologies into the mix, says Harvard research associate Brian Spisak.
AI & ML Intelligence
Implementing AI in healthcare settings requires thoughtful consideration of the problems it aims to solve and a clear understanding of the potential impacts on clinical workflows and provider wellbeing, the digital health chief advises.