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Clinical Decision Support

The Transformation of Clinical Decision Support (CDS) through Automation at Geisinger

“The Steele Institute for Health Innovation at Geisinger has been striving to leverage automation technology to improve patient care and streamline clinical workflows, in an innovative move unlike many other healthcare establishments. Among the progressive initiatives being undertaken by Geisinger, one is working to automate compliance audits for patient charts, focusing specifically on crucial areas in…

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Commitment to Improvement: Steering the Progress of Clinical Decision Support Systems

Clinical Decision Support Systems (CDSS) revolutionizes healthcare by utilizing Electronic Health Records (EHR) to enhance patient safety, improve clinical outcomes, and simplify care processes. Despite early promises, there have been challenges in delivering this promise due to obstacles birthed by CDSS adoption. However, by properly leveraging Artificial Intelligence (AI), we can overcome these barriers and…

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Artificial Intelligence (AI) Fuels Precision in Narrating a Patient’s Health Journey

Artificial Intelligence (AI) is significantly impacting the healthcare industry, especially in Clinical Documentation Integrity (CDI). CDI programs are vital in maintaining accurate and comprehensive clinical documentation necessary for patient care and reimbursement. These programs, enhanced by AI, improve the efficacy and efficiency of healthcare services. CDI works by translating clinical chart documentation and reimbursement codes…

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Advancements in Healthcare: How Clinical Decision Support Systems are Transforming Patient Care.

The current healthcare landscape, particularly in the post-pandemic era, presents significant challenges to clinicians striving for excellence in patient care. Among these challenges are rising demands from an expanding patient population, organizational and economic hurdles, and pressures of maintaining a healthy work-life balance, all of which may contribute to professional burnout and increased stress levels.…

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Caring Nurses: The Impact of AI-Powered Self-Care Instruments on Everyday Wellness

In the high-pressure, fast-paced world of healthcare, nurses represent the embodiment of dedication and compassion. They maneuver lengthy shifts, demanding tasks, and emotional strains, regularly prioritizing the welfare of others over themselves. However, a new era is emerging, introducing Artificial Intelligence (AI) driven self-care tools for nurses to support their mental health and overall well-being.…

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Improving Health and Care by Utilizing the Strength of Clinical Decision Support Systems

Clinical Decision Support Systems (CDSS) are data-driven digital tools that assist healthcare professionals in diagnosing diseases, prescribing treatments, and managing patient care. By harnessing data from electronic health records, CDSS offers real-time and patient-specific recommendations, ensuring patients receive optimal, evidence-based care. They range from simple notifications to comprehensive care plans, significantly enhancing decision-making processes and…

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The Fine Line between Aid and Interference: Insights from Informatics on Healthcare AI

Artificial Intelligence (AI) is increasingly being integrated into healthcare, promising enhanced efficiency and improved patient care. Employed more as a supplement rather than a substitute to human decision-making, AI in healthcare serves multiple functions ranging from alerts integrated in electronic medical records (EMRs), to advanced large language models (LLMs) capable of making highly accurate clinical…

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The Imperative of Engaging a Multidisciplinary Team for Constructing AI Algorithm and Technology in EHR for Clinical Decision Making

The Covid-19 pandemic compelled hospitals worldwide to adopt innovative measures aimed at reducing the administrative burden on healthcare staff already battling burnout, according to Teray Johnson, Director of Data Automation and Transformation at Lifepoint Health. Applications ranged from hospital-at-home to within-EHR automation of clinical decision-making processes. One of the notable innovations was a clinical decision-making…

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Etiometry: Leading the charge in implementing AI in Healthcare Technology – A Groundbreaker Prior to AI Becoming Popular

The healthcare industry often grapples with the issues of staff burnout and talent shortages. These issues arise in trying to optimize medical staff while maintaining reasonable operating and administrative costs. In addition, the enormous mental burden on medical professionals to make accurate clinical decisions predicated on patient data exacerbates these difficulties. Etiometry, an AI-driven platform,…

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