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HTO Robot Nurse Will Robots Replace Healthcare Providers?

Automation has been making human workers superfluous for centuries, but until recently, workers whose jobs required high-level cognitive skills have been able to rest easy, confident no machine could possibly replace them when it came to making nuanced decisions based on the evaluation of complicated, sometimes contradictory data. By Khal Rai, Senior Vice President, Product Development & Operations, SRS Health

PRODUCTS TO SEE AT HIMSS14

The Ultra Phoenix is an integrated state-of-the-art touch-screen computer-based nurse call system.
PrognoCIS EMR has specialty templates, encounter scripts and key equipment integration points ideal for the Endocrinology practice. Our technology enables plug and play integration with most Endocrinology hardware. The user interface is ideal, tab formatted, user friendly, intuitive and fast. Endocrinologists using PrognoCIS EMR save time with automated SOAP (Progress notes) in addition to elimination of transcription costs, HL7 integration, ePrescriptions and more.
Protiviti’s Electronic Discovery professionals help organizations institute a systematic and disciplined approach to evaluate and improve their electronic discovery (e-discovery) capabilities.
Pocket™ “Tablet” is Nurture’s new mobile workstation specifically designed to support the active work of healthcare professionals by accommodating both the demands of the task at hand as well as emerging portable tablet technology like the iPad, Xoom and Playbook.

The Intermec SR61T handheld scanner family meets the needs of rugged applications in warehouse, distribution and industrial manufacturing, and also supports proof of delivery and point of service applications.

We've developed HIPAA Simplified to help our clients prepare for HIPAA readiness.

HIMSS14 NEWS

FEATURED CONTENT

  • 3 Ways To Empower Health Equity With AI
    7/9/2019

    The World Health Organization’s priorities this year include health as a human right, universal health coverage, appropriate access to care, and high-quality care. These themes increasingly echo as part of international public discourse, especially in the United States where we continue to explore the most efficient and effective ways to take care of our communities.

  • Applying Machine Learning To Live Data
    8/4/2017

    According to the OECD, U.S. healthcare devotes far more of its economy to health than any other country, yet the life expectancy of the American population is shorter than in other countries that spend less. The biggest areas of spending and concern are for coordination of care and preventing hospital admissions for people with chronic conditions such as heart disease. The combination of connected medical devices, streaming analytics, big data, and machine learning has become more powerful and less expensive than before, which could enable scalable chronic disease management with better care at lower costs.

  • A Person-Centric Approach To Managed Care
    11/9/2017

    Putting data to work to ensure members receive behavioral healthcare when it’s needed most.

  • NLP, AI, And Machine Learning: Complementary Technologies For Advancing Patient Care
    7/17/2017

    For the past few years, artificial intelligence (AI) — especially natural language processing (NLP) and machine learning — has been a hot topic in healthcare as vendors, researchers, and providers consider ways to leverage technology to transform medical research and clinical care. By Simon Beaulah, Senior Director of Healthcare, Linguamatics

  • Using Bedside Labeling To Reduce Errors And Improve Efficiency
    12/9/2010

    This article explores the link between sample identification and patient safety, documents the benefits of bedside sample labeling, explains effective bedside labeling processes, and identifies the printer and label media features that are required to be successful. By Intermec, Inc.

  • Case Study: Preventing Medical Identity Theft
    9/21/2009
    Medical identity theft is also a very dangerous issue. This type of theft can expose a person’s sensitive personal information which can then be used by fraudsters to get medical treatments, benefits, prescription drugs and generally defraud the medical system. By Shred It

TWEETS FROM @HIMSS