The Role of Artificial Intelligence in Hospital Case Management

Added by Referral on 2020-06-29

Conference Dates:

Start Date Start Date: 2020-07-07
Last Date Last Day: 2020-07-07
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2020-06-26

Conference Contact Info:

Contact Person Contact Person: Ashutos Swain
Email Email: [email protected]
Address Address: 2479 E. Bayshore Road Suite 260, Palo Alto, CA, 94303, United States
Phone Tel: 8887172436

Conference Description:

Artificial intelligence (AI) has become a strategy to turn smart tasks into game-changing tools and technologies for healthcare providers. This has been documented in the processes of coding, diagnosing some diseases, and has assisted financial teams in identifying outcomes that would have all taken many hours by staff performing these tasks. Coupled with the right expertise, AI has been shown to be effective in case management departments, as well-especially with the utilization management process.

Why Should You Attend:

With AI being utilization more and more in healthcare and well-introduced into acute care case management, it is time for hospital case management leaders and staff to become familiar with this process. Through familiarity, the opportunity to investigate the possible use of an AI process can be reviewed by department leaders and staff.

Hospital executives and IT leaders are welcoming such support to their staff and this could be a remarkably interesting concept to introduce to your leadership executive.

This webinar will provide an introduction to AI in healthcare, in hospitals and in the hospital case management department. A structure for use will also be introduced. Be inquisitive in the future of IT in your department and this innovative process to enhance your staff and move them to best-practice operations. Just a reminder—AI does not replace all your staff; it only enhances your staff.

As hospital case management departments have evolved, it is not unusual to find that the vast majority of departments are not able to fill all of their positions. As a result, both RN case managers and social work case managers are working with a higher than optimal patient load. With this increased patient load, they cannot maintain a sense of urgency during their day—they are just struggling to get through what they feel are their priority areas.

AI has been able to take some of the tasks that RN case managers perform in the utilization management role and mimic these human functions, or smart tasks, through “learning” the tasks in an algorithmic format in the medical record. AI bringing an entire paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. Popular AI UM techniques include machine learning methods of data that an RN case manager would review during a first level medical necessity review.

Naturally, there is unease and concern with this sort of “outsourcing” part of the UM process to a computer, but there has been well-studied use of the AI process in UM, showing success. In no way will AI take over the role of the RN case manager in utilization management, but it can be a significant enhancement to the process.

This webinar will review the history of AI, the current use in hospitals for both UM and discharge planning. It will also review the pros and cons, leaving the attendee with great information to consider the possible use of AI in their case management program.


Areas Covered in the Webinar:

AI: History
AI: Transition to Healthcare
AI: Case Management
Challenges in Hospital Case Management Lending the UM Process to An AI Initiative
The Pros
Automation of A Highly Manual Process
Subjectivity in The UM Process
Challenges of High Patient Loads and Ensuring Appropriate Prioritization
Value of AI in A Hospital Case Management Department
AI And the Denial Process
The Cons
The Computer Might Replace the RN UM Role
Having the Technology
Being Able to Explain AI to Your Executive
Staff Buy-In
Alignment with It
Discharge Planning: Is There A Role for AI in This Role?
Making the Decision
Putting A Plan in Place—Whether It Is Yes or No
Evaluating Your Decision
Artificial Intelligence or Augmented Intelligence?

Who Will Benefit:

RN case managers
Case management leaders
Social workers
Physician advisors
Executives responsible for case management
IT leaders responsible for collaboration with case management
Hospital case management departments
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