Clinical
The University of Toledo is building and piloting AI models to assist in clinical decision support and to accurately answer patients' and clinicians' questions. Dr. R. Ryan Sadeghian, CMIO and a pediatrician, explains.
The nation has maintained longitudinal electronic health records for patients since the 1990s, says Ran Balicer, chief innovation officer at Clalit Health Services – which has since enabled clinicians to leverage AI for predictive, proactive care.
Amprion has partnered with Mayo Clinic Laboratories to expand access to its test, which detects misfolded proteins associated with Parkinson’s, Lewy body dementia, and multiple system atrophy. Russ Lebovitz, the company's CEO, explains.
Nurse involvement in new clinical tool development can help ensure that they fit into their workflows, says Darren Batara, nursing innovation and informatics manager at Stanford Healthcare.
Consolidating vaccine records from multiple providers and recommending additional needed doses has big benefits for patients, says Rebecca Coyle, executive director of the American Immunization Registry Association.
After the Change Healthcare breach, healthcare organizations are diversifying their buying strategies and asking about vendors' cybersecurity policies, says Karly Rowe, interim president of Inovalon's provider business unit.
Telehealth and other clinical digital tools can shift the burden from overburdened psychiatrists by performing some specialized tasks such as collecting symptoms or giving basic guidance to patients.
Anika Gardenhire, RN, chief digital and transformation officer, offers her perspective on improving IT support for the clinician and patient experience, and insights on data informing decision making for operational processes.
The five-year collaboration aims to develop and deploy more artificial intelligence tools for faster disease detection in public and private healthcare, and advance the university's leadership in digital pathology.
Business school professor Joe Peppard penned a Wall Street Journal op-ed recently, making the case that many companies shouldn't necessarily be investing in AI – because many aren't well-positioned to succeed with it. What about healthcare providers?