Scripps Health and HIMSS Share New Insights into IT-Driven Clinical Process Efficiencies

Clinicians are under an increasing time burden to care for patients. Even under the best circumstances, technologies implemented to automate and streamline workflows may not achieve the right balance to deliver as promised and improve effectiveness, efficiency, and job satisfaction.
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Spotlight

OTHER ON-DEMAND WEBINARS

Application of Machine Learning in Healthcare

Bestintown Analytics

Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. In this webinar, we'll discuss the Application MachineLearning especially Support Vector Machines in Cancer Detection.
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A YEAR OF CHANGES IN HEALTHCARE CYBERSECURITY

News of cybersecurity incidents impacting healthcare systems and medical technologies is becoming an all-too-common occurrence recently.
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Research Findings Technology and Clinician Cognitive Overload Easing the Pain

Hcinnovationgroup

HIMSS Analytics received 323 survey responses from clinical and IT leaders at HIMSS19 and online. Join to hear our panel of experts discuss the research findings and examine the implications for executives from disciplines in the acute care setting. HIMSS Analytics received 323 survey responses from clinical and IT leaders at HIMSS19 and online.
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The Collaborative Role of Technology and PharmD in Managing Chronic Conditions

Himsslearn

The prevalence and cost of chronic, cardiometabolic conditions like Type 2 Diabetes and Heart Disease is one of the greatest healthcare challenges we face today. Luckily, price points are coming down on cellular and Bluetooth-enabled medical devices like blood pressure cuffs and glucometers, and at the same time, enhanced interoperability capabilities are allowing us to seamlessly pull patient-generated data from the devices into analytics platforms and combine it with patient record data from the EHR. The connection gives clinicians a more complete view of their patients’ health whether at the point-of-care or virtually giving them the ability to detect costly complications before they happen, and prompting them to intervene with appropriate guideline-based management.
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