Why Your AI Should Be Talking to Patients You Don’t See
WellSpan Health launched an AI platform roughly one month ago that calls selected at-risk patients to schedule colorectal cancer screenings. The AI agent, called Ana and developed by digital health startup Hippocratic AI, asks patients if they would agree to take the test and, if they agree, arranges to mail a testing kit to their homes.
Bad Medicine: Healthcare Struggles With Poor Technology
The study, the third in Black Book’s “What’s Hot and What’s Not in Healthcare IT Investments” series, finds that bad IT investments have jumped significantly since 2017, when those costs were estimated at $1.7 billion, and budget limitations are keeping healthcare leaders from correcting those problems.
PSQH: The Podcast Episode 114 – Reducing Medication Errors with Technology
On episode 114 of PSQH: The Podcast, Lani Bertrand, Senior Director, Clinical Marketing & Thought Leadership at Omnicell, talks about how technology can help reduce medication errors.
As AI Use Cases Grow in Healthcare, Executives Scramble to Grab the Reins
At the recent HIMSS AI in Healthcare Forum in Boston, issues of compliance and liability were front and center for health system executives looking to chart a clear and effective AI strategy. Sunil Dadlani, chief information and digital officer for the Atlantic Health System, said AI regulation must be handled carefully, so that it doesn’t curb innovation.
Are Hospital at Home Programs Forgetting About the Patient?
Fueled by the promise of remote patient monitoring and the acute care at home (or Hospital at Home) strategy, healthcare leaders see the home as a better place than the hospital room for many patients to recover from treatment.
Are RPM Programs Riddled With Fraud?
Following a report this week from the Office of the Inspector General (OIG) hinting at a possibility of fraud in requests for Medicare reimbursement in RPM programs, the Alliance for Connected Care has criticized the “inaccuracies and subjective nature” of that report and called on the OIG to retract it.
Mobile: Healthcare’s New Access-to-Care Differentiator
The opportunity to improve access to care via mobile is significant but only if consumer experiences meet expectations and drive adoption and reuse.
Mount Sinai to Use AI to Detect Mental Health Concerns
The $20 million project, funded by a grant from the National Institute of Mental Health (NIMH), will include researchers from Harvard, Johns Hopkins, Columbia and Carnegie Mellon Universities and use ambient tools developed by Deliberate AI.
Predictive AI Helps Providers Plan Patient Care
At West Tennessee Healthcare, executives say they’ve saved more than $5 million over the past year by using an AI platform from Xsolis to review patient data, enabling them to predict when a patient will be discharged and communicate with payers on authorizations and any denials.
Are Healthcare Leaders Getting Their AI Priorities Straight?
Schwamm says the healthcare industry has become “accustomed” and “complacent” in healthcare IT, and Ai is presenting healthcare leaders with issues they haven’t encountered before. The AI evolution, he pointed out, is similar to the development of the software-as-a-service (SaaS) model, but health systems and hospitals haven’t developed the governance to regulate these tools before they’re used.