Digital Health

Mount Sinai Automates Clinical Trial Data to Boost Research Efficiency
Digital Health Mount Sinai Automates Clinical Trial Data to Boost Research Efficiency

Mount Sinai Tisch Cancer Center has officially ended the era of manual data transcription by implementing a routine automated workflow for oncology research records. This significant transition marks the move from a limited pilot phase to a comprehensive standard operating procedure that integrates

How Can EHR-to-EDC Integration Transform Clinical Research?
Digital Health How Can EHR-to-EDC Integration Transform Clinical Research?

Embedding automated infrastructure into the organizational fabric of a research hospital eliminates the need for difficult mid-study technology transitions. For decades, the clinical research industry has been hindered by a repetitive and inefficient administrative hurdle known as "double entry,"

IBD Diagnostics Market to Surpass $2.9 Billion by 2034
Digital Health IBD Diagnostics Market to Surpass $2.9 Billion by 2034

The global market for in-vitro inflammatory bowel disease diagnostics is projected to climb to USD 2.9 billion by 2034 as healthcare providers shift toward non-invasive protocols. This movement reflects a broader transformation within the gastrointestinal sector, where the focus is intensifying on

OSF HealthCare Doctor Warns of Risks in AI Medical Advice
Digital Health OSF HealthCare Doctor Warns of Risks in AI Medical Advice

The current trend in healthcare integration treats AI as a second brain for physicians, allowing for rapid literature review without bypassing human oversight. As generative platforms like ChatGPT increasingly serve as the initial point of contact for patients with medical questions, the

How Is AI Transforming Behavioral Health Risk Management?
Digital Health How Is AI Transforming Behavioral Health Risk Management?

Recent data indicates that approximately 79 percent of antidepressant prescriptions are issued by primary care physicians without a structured path to specialized follow-up care. This staggering statistic underscores a profound systemic gap where mental health issues are often identified but lack

AI Pipeline Automates Paraspinal Muscle Health Analysis
Digital Health AI Pipeline Automates Paraspinal Muscle Health Analysis

Surgeons can better predict the risk of failed back surgery syndrome by using automated metrics to evaluate a patient's physical condition before they enter the operating room. This technological shift addresses a longstanding gap in spinal diagnostics where clinicians traditionally focused on

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