The Role of AI in Healthcare - EZDI - PowerPoint PPT Presentation

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The Role of AI in Healthcare - EZDI

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Artificial intelligence (AI) truly is a disruptive force across all industries. One such industry that has been transformed by AI technologies is healthcare. So, in this post, we discuss the many roles of AI in today’s healthcare industry. Visit: – PowerPoint PPT presentation

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Title: The Role of AI in Healthcare - EZDI


1
EZDI
Transforming clinical data into actionable
intelligence
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  • The Role of AI in Healthcare

3
  • Artificial intelligence (AI) truly is a
    disruptive force across all industries.
  • Whether its streamlining supply chain operations
    or allowing for personalization in fintech, AI
    has significantly altered how various industries
    provide goods and services.
  • One such industry that has been transformed by AI
    technologies is healthcare.
  • Due to the constant demand for healthcare
    organizations and workers to provide efficient
    and impactful patient care, this sector can
    certainly benefit from revolutionary technologies
    such as AI.
  • So, in this post, we discuss the many roles of AI
    in todays healthcare industry.

4
Automate Overbearing Administrative Tasks
  • While its true that healthcare providers should
    always prioritize patient care, it still operates
    as a business. This means that hospital
    administrators and managers have to deal with
    time-consuming and resource-intensive
    administrative tasks to keep the institution
    going.
  • Indeed, recent reports show that 34 of
    healthcare costs are related to administrative
    tasks. Fortunately, AI can be used in healthcare
    administration to automate tasks and
    significantly reduce costs. Thus, it allows
    healthcare providers to focus more on improving
    and enhancing patient care.
  • Some of the administrative tasks that can be
    automated include billing and insurance tasks.
    Through smart algorithms, AI automation can
    analyze costs and even negotiate with insurance
    providers. Another use of AI in healthcare
    administration is providing automated check-in
    systems that remind healthcare workers of
    necessary activities ? whether its as simple as
    washing their hands or maintaining healthcare
    equipment.

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Innovate Healthcare Education
  • In general, healthcare has become increasingly
    tech-oriented  from the rise of telemedicine to
    wearable medical devices. This integration with
    technology has shifted many nursing careers to
    becoming more digital-focused too. Some examples
    of nursing jobs that require knowledge of tech
    and modern practices include informatics
    specialists and clinical specialists. So, there
    is a real need for education programs that strike
    a balance between technology and the human aspect
    which is still the essential foundation of
    nursing.
  • Of course, AI is one such technology that has
    become prevalent in healthcare education too. For
    one, many healthcare students are testing their
    skills and knowledge through simulated scenarios
    and exams. This is helping them hone their key
    practical skills, build their confidence, and
    prepare them for the challenges theyll encounter
    in clinical practice. Again, it is vital that
    todays nursing students understand technology
    such as AI, and are open to innovating
    traditional methods.

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8
Ensure Compliant Medical Coding Practices
  • One of the most challenging tasks for many
    healthcare organizations is accurately coding
    evaluation and management services, as well as
    Current Procedure Terminology (CPT). It is a
    highly complex and detailed task where healthcare
    staff and physicians need to work with a myriad
    of rules and regulations. For this reason,
    healthcare workers are prone to making
    unintentional mistakes.
  • But now, we have AI-powered computer-assisted
    coding (CAC) capabilities that can significantly
    improve the quality of work and reduce mistakes.
    Combining AI-based platforms with machine
    learning and natural language processing features
    has allowed for efficient and effective clinical
    coding. As medical coding becomes more precise,
    healthcare organizations can secure their
    compliance to coding practices and put a stop to
    costly documentation discrepancies due to
    avoidable errors.

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THANKS!
  • You can find me at
  • https//www.ezdi.com/
  • https//twitter.com/EZDIInc
  • https//www.linkedin.com/company/ezdi-inc/
  • https//www.youtube.com/c/ezdiinc
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