Please Choose Options to Checkout

Course Description

It’s here! Artificial Intelligence (AI) is on the scene and on the rise in the real world of healthcare. Long gone are the days when a medical practitioner was up on all the latest diseases, medications and treatments/procedures in healthcare due to the vast explosion of information and technologies in today’s ever-changing world. Providers have begun to rely on technology to augment their knowledge and assist in treatments and procedures. The reliance on computerization has hit home and many advantages have been realized and continue to expand. Then, along came AI! AI can literally be incorporated into every area of patient care. AI’s amazing and wonderful impact so far on modern healthcare will be shared.

Exactly what is AI and how does it work? AI will be simply defined. The basic mechanics of how AI works will be explained. Learn how AI relates to machine learning. Natural language processing (NLP) will be discussed. Never heard of the Turing test? That will be explained too! Be up on the latest in healthcare technology after attending this session.

Organizations can learn how to prepare to adopt AI by securely connecting to the cloud and employing effective methods that protect the privacy and security of patient data. Information will be shared on those processes.

Concerned about the cost of implementing AI? Return on investment will be discussed with real life examples. Information provided may help an organization determine if it is ready and well prepared to adopt AI, or if more ground work needs to be done for system compatibility.

What are the concerns for AI in terms of privacy and safety? Are the concerns manageable? Will there be accountability if an AI program makes a mistake and a patient is harmed? Information governance, cyber insurance, provider workflows and enhancing policies and risk assessment protocols will be discussed to address those concerns with feasible resolutions.

AI system examples will be reviewed for making suggested diagnoses, recommending treatments and in preventing incidents and illnesses. IBM Watson’s numerous new applications in healthcare will be reviewed. Learn how PTSD, aging, clinical trials, radio-logical assessments, behavioral health and clinical documentation improvement can all benefit from AI. (Remember, we said that AI can be incorporated into every area of patient care.)

Healthcare costs continue to soar with no end in sight. Healthcare organizations are always looking for ways to save on expenses and maximize profits. In contrast, AI is predicted to save over a billion dollars in the next decade. Learn how this is possible based on the many efficiencies resulting from AI systems. It is quite possible some of these efficiencies may benefit your organization. Explore the possibilities.

Hospitals are just beginning to use AI to treat patients and its potential is most promising. Find out what the future projections are for AI in healthcare.  Will AI become the future provider’s computerized assistant? Will AI give healthcare organizations an edge over their competitors?

If all this interests you, please register for this upcoming webinar!

Area Covered In The Session:

  • What is artificial intelligence and how does it work?
  • Preparing organizations for artificial intelligence
  • Concerns for patient, privacy and safety
  • Uses and examples of artificial intelligence in healthcare
    o Diagnostic assessments
    o Treatment recommendations
    o Incident and illness prevention
  • Efficiencies realized
  • Future projections for artificial intelligence in healthcare

Learning Objectives:

  • Define and explain artificial intelligence and how it works.
  • Discuss organizational preparations for adopting artificial intelligence.
  • Discuss patient privacy and safety concerns.
  • Explain examples of artificial intelligence used in diagnosing patients, making treatment recommendations, along with reduction of incidents and disease prevention.
  • Discuss the efficiencies of using artificial intelligence in healthcare.
  • Discuss the future projections for artificial intelligence in healthcare.

Target Audience:

  • Healthcare CEOs
  • Healthcare CFOs
  • Health Information and IT Professionals
  • Healthcare Privacy and Security Officers
  • Healthcare Providers (Physicians, Physician assistants, Advanced Registered Nurse Practitioners, Nurses)
  • People with a desire to learn about artificial intelligence in healthcare

Instructor Profile:

Valerie McCleary, MS, RHIA, CCS has been working in the healthcare profession as a Health Information Management professional for over 40 years. She has served as a Program Director, Assistant Professor and course developer at several colleges and currently is working as an adjunct instructor at two universities. She has served as a Health Information Management Director, Supervisor, HIPAA Privacy Coordinator and worked many years in medical coding and abstracting. Her expertise includes higher education, academic programmatic accreditation, health information management, health informatics, medical coding, project management, privacy and security. She has many years of experience working in Public Health as a Health Information Management manager, consultant and workforce trainer. She has given numerous live and virtual presentations. She has authored articles relative to the health information management and academic professions.

Shopping Cart