Decision Support
Nioura Ghazni, partner at Sheppard Mullin Richter & Hampton LLP, explains how hospital leaders are focused on improving and streamlining mission and operations, mitigating regulatory risk and building new revenue streams.
The state has signed the Kentucky-based healthcare IT company, which now operates PDMPs in 44 states, to run a heavily-debated program expected to launch in spring 2023.
While more data is still needed to reveal if mandated compliance programs decrease opioid prescription diversion and doctor shopping, new ONC studies show "substantial growth" in the use of EPCS and "widespread use" of PDMPs in 2021.
Predictive analytics in EHRs aren't yet effective enough for clinical decision support at the point of care.
NLP can help providers make gains with social determinants of health, population health analytics, predictive analytics, real-time clinical decision support and precision medicine, says Dr. Calum Yacoubian, director of healthcare strategy at IQVIA.
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Advanced medication decision support tools are emerging as an enabler for the digital maturity journey of many leading hospitals. From improving patient care to reducing alert fatigue for clinicians, they are driving change throughout the care continuum.
The Translational Research Institute for Space Health and its partners have big plans in the coming years, says Director and Chief Innovation Officer James Hury, who shares what excites him about new avenues in space flight.
Leveraging AI, machine learning and neural networks can help healthcare standardize data, comply with info blocking requirements and improve health outcomes.
LA Children's received the funding to predict how critically ill children handle medication by applying machine learning to identify clinically significant patterns from the ICU data of 20,000 patients.
Resource constraints and inefficient manual processes are burdening cancer centers across the U.S., but a new report shows how machine learning capabilities outside of EHRs could help improve agility.