"Frequent flyers” in the no-show list? 👀Wilson Santos, CIO at T.H.E. Clinic, explains how they use predictive analytics from healow No Show to identify patients with an 85%+ no-show pattern—and then proactively intervene.Data-driven scheduling…
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Hospitals and clinics in some areas see enormous numbers of people who don't speak the local language well. While human interpreters have been common in exam rooms during patient care, it turns out that…
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Dr. Jason Acker, MBA, PhD, Co-founder of PanTHERA CryoSolutions
Cell and gene therapies (CGTs) are reshaping medicine. Hundreds of clinical trials are underway worldwide, and the first wave of commercial therapies is already changing the…
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Several life-threatening diseases have a major genetic component but gene testing for these conditions remains out of reach for many patients because current clinical guidelines don’t recommend the test. Why not?
By John Halamka, M.D.,…
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Derek Plansky, SVP Governance and Solutions, Health Gorilla
The healthcare industry has suffered from notorious data-quality issues for decades.
Poor, incomplete data can result in missed opportunities to improve patients’ health and improper treatments, while robust…
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It’s been a bumpy couple of weeks. I have spent more time than I generally prefer in the patient, family, and caregiver role.
I hate to say that I saw mostly the bad and…
For the 104th episode of the CIO podcast hosted by Healthcare IT Today, we are joined by Madhu Narasimhan, CIO at DaVita, to talk about leveraging AI! We kick this episode off by discussing…
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P4 medicine (Predictive, Preventive, Personalized, and Participatory) offers a comprehensive approach to personalized healthcare, emphasizing both the transition from disease to wellness and the importance of preventive care. In this perspective, we propose a…
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The Medicines and Healthcare products Regulatory Agency (MHRA) has advised that AI chatbots should not replace advice from healthcare professionals after research found one in four UK patients are turning to AI and social…
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Synthetic tabular data generation (SDG) is increasingly important in healthcare research and innovation while preserving patients’ privacy. However, ethical concerns remain, primarily over residual privacy vulnerability and insufficient oversight. This review analyzes the only…
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