Workflow
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Despite years of investment, many hospitals remain digitally fragmented. A command centre approach offers a practical way forward, integrating data and decision-making in real time to enhance operational and surgical performance – and patient care.
Before implementing AI tools, leaders must ensure data flows freely between their EHR and practice management systems, and that they know how the tool will fit into existing procedures, says Matt Murren, CEO of True North ITG.
Success Stories & ROI
Clinical decision support technology has enabled automatic inclusion of risk results in the health system's reports. Among many other improvements, the ability to stratify patients earlier and more accurately allows staff to provide additional care before cancer is detected.
When health systems upgrade their IT infrastructure, they should also train staff to use AI and other new technologies, says Dr. Guido Giunti, chief data officer at Dublin, Ireland's St James's Hospital.
Success Stories & ROI
The technology it's using to reach patients has not only improved clinical outcomes but is also providing tangible financial benefits, while ensuring patients can easily access the care they need.
Ever since financial institutions have significantly increased their security preparedness, bad actors have turned to healthcare organizations, seeing them as more vulnerable – and lucrative – targets, says Dr. Eric Liederman, CEO of CyberSolutionsMD.
The artificial intelligence agent texts patients to schedule their follow-ups – presenting options for provider availability, booking their choice and then confirming appointment details.
The radiologist shortage and increasing imaging demand are two intertwined challenges that can benefit from large language models. Penn Medicine is showing how.
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Endoscopy plays a critical role in early cancer detection and avoiding open surgery. But a combination of overburdened healthcare staff and fragmented workflows means endoscopy departments need greater interoperability to improve patient outcomes.
AI & ML Intelligence
The Indiana health system has seen an 86% drop in time to complete notes, with after-hours documentation time plunging by 34%. And documentation turnaround has improved by 87%. Says one provider: "I was sold after just one patient. It was such a relief."