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Clinical Documentation Improvement: Leveraging Advanced AI to Transform Coding & Documentation

Format: Live Webinar | Presenter: Cassi Birnbaum, MS, RHIA, CPHQ, FAHIMA | Event Date: TBD

Time: 1 pm ET | 12 pm CT | 11 am MT | 10 am PT | Duration: 60 minutes | Location: Online Webinar

Live

$249

On-Demand

$251

Live + On-Demand

$349

Live (2 to 4 Attendees)

$399

Live (5 to 10 Attendees)

$649

On-Demand (Multiple Attendees)

$549

Podcast

$239

E-book

$253

Replay + Flash Drive

$354

Live + Replay + DVD

$499

Course Description:

In recent years, generative artificial intelligence (GenAI) has passed medical exams, diagnosed complex cases. In fact, large language models (LLMs) such as GPT-4, Google’s BARD, and BioGPT now perform complex tasks that can completely transform clinical decision-making and enhance administrative efficiency. The financial backbone of healthcare, RCM, entails everything from payments and pre-authorization before treatment to reimbursement, compliance, and interoperability with other systems. This flow of revenue from patient encounters to post discharge management has grown even more complicated with evolving regulations, data overload, shifting payment models, and increasing patient financial responsibility. This is where Advanced AI can be a game-changer by managing and processing the intricate web of unstructured data across clinical notes, insurance claims, diagnostic images, medical charts, and more.


The presenter will showcase advanced AI use cases for coding to demonstrate the promising advancements that this technology can bring to coding operations to reduce the resource burden, decrease denials, improve workflow and increase accuracy and efficiency. The speaker will unpack the journey from the differences between Computer Assisted Coding (CAC)/ Natural Language Processing (NLP) of today versus advanced AI platforms using large language models (LLMs) infused with deep machine learning. She will showcase the requirements, outcomes, selection process and the AI governance guardrails needed to guide your organization to success.


Learning Objectives:

  • To provide a road map to infuse current documentation capture and computer assisted coding systems with advanced AI to reduce resource burden and increase productivity without adversely impacting quality, financial and denial metrics
  • To identify use cases ripe for AI using large language models to reduce coder, physician and CDI burden
  • To facilitate the analysis of the current AI technology landscape to enable the creation of a business case and project charter
  • How to select, oversee and manage an AI technology partner from a proof of concept (if applicable) to implementation
  • To assist with the identification of an AI governance strategy with specific guardrails to mitigate potential risks, and track metrics and revenue realization

Areas Covered in the Session:

  • Current Coding Scenarios
  • Learning Outcomes
  • Business Case to Leverage Advancements in AI to facilitate Coding and Clinical Documentation Improvement (CDI)
  • Journey from CAC (NLP) to AI
  • AI Use Cases for CDI
  • AI Use Cases for Coding
  • How to Prepare a Business Case, Choose a Partner and Define Metrics
  • AI Governance – Rules and Regulations
  • Summary/ Next Steps
  • Live Q&A Session

Suggested Attendees:

  • Chief Revenue Officers
  • RCM Directors
  • Technology Officers
  • Coding Directors
  • Coding Professionals
  • Compliance Officers
  • Billing Professionals
  • Auditors
  • Healthcare Providers
  • Practice Administrators
  • Revenue Cycle Staff
  • CDI Specialists
  • Health Information Management (HIM) Directors and Officers

About the Presenter:

Cassi Birnbaum, MS, RHIA, CPHQ, FAHIMA, is a Board Member of the Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM). She served as board member and officer of SDHC Board (San Diego Connect – Regional Health Information Exchange) from 2010 – 2022. Since 1990, Cassi has been an adjunct baccalaureate HIMS faculty member for San Diego Mesa College. As a Past Board Chair/ President of AHIMA (2014 – 2016), Cassi was able to successfully lead the industry, profession, and its members to realizing its vision with a successful transition to ICD-10, Information Governance, and adoption of its Global Curriculum. Cassi was previously an AHIMA Director from 2009 – 2012, and she was honored to receive the 2019 AHIMA Distinguished Member Award, and the 2017 Distinguished Health Professions Alumna recipient for the University of Kansas Medical Center. She accepted on behalf of PeaceHealth 3M Healthcare’s Professional Fee Coding Award, and while at UCSD, 3M’s 2018 Innovator of the Year for accomplishments associated with Professional Fee and Single Path Coding. Cassi is a Past President for California Health Information Association from 2006 -2008, and she received its prestigious Distinguished Member Award in 2009.

Snippet From Our Previous Session


Testimonials

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— Melissa Preston, Health Information Management Staff

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"Great presentation. Able to do during the day. Timing was great."


— Tina Duffy, Compliance Officer