2026 GHIMA Virtual Annual Conference
HIM: the Center of Healthcare’s Future
Overview
Thursday — June 25, 2026
The goal of the 2026 AHIMA in Action Report is to provide an authentic and transparent report that encourages interaction and open discussion between the Board Liaison, staff, and attendees.
The 2026 AHIMA in Action Report is designed to deliver on the following learning objectives:
- Identify AHIMA’s 2026 strategic imperatives and connect members on how they align with the broader enterprise strategic plan.
- Summarize the 2025 year-end financial results and describe the specific best practices being implemented to maintain long-term financial solvency.
- Outline key milestones in the 2026 technology roadmap and explain how upcoming investments will enhance our member’s user experience.
- Describe how member feedback has directly shaped recent resource and benefit enhancements to strengthen the AHIMA value proposition.
Healthcare organizations are rapidly implementing AI and automation tools across HIM, CDI, coding, compliance, and revenue cycle operations—but technology alone cannot fix broken workflows. This engaging and real-world session explores what happens when automation is layered onto disconnected processes, communication gaps, siloed departments, unclear ownership, and operational inefficiencies. Attendees will learn how to identify workflow “loose bolts,” strengthen communication, improve operational readiness, and prepare teams for responsible AI integration. Blending organizational development, systems thinking, workflow optimization, and healthcare operations, this presentation provides practical strategies to build smarter, stronger, and more connected workflows before AI and automation magnify existing problems.
More info coming soon!
As healthcare organizations continue to mature with technology solutions, it has become increasingly critical to evaluate the need to archive and govern critical data. In this session, we will explore the fundamentals for archiving data from core and legacy systems and the tools and features needed to make this data not only accessible to other systems and users but governed by retention policies. We will examine the use of an enterprise content management (ECM) system as the solution for data archival and the key features that could turn data into protected, searchable, and shareable content.
Learning Objectives:
Understand opportunities to archive legacy data with ECM.
Employ ECM strategies and functions for archived data to elevate access and deliver insights.
Discover ECM tools to govern data with retention policies and automated notification workflows.
Claim denials continue to rise, making them a top priority for healthcare executives. Denials cost organizations millions of dollars annually and require significant staff time and resources to resolve.
This presentation will outline strategies to analyze the root causes of denials, evaluate and optimate workflows, implement solutions to reduce recurrent and prevent future denials. We will also cover best practices for submitting successful appeals.
Learning Objectives:
Attendees will learn strategies to
• Identify denial types
• Form and engage cross-functional teams to address workflow issues
• Monitor, track and report denial trends and outcomes
Friday — June 26, 2026
More info coming soon!
As the guardians of protected health information (PHI), health information professionals are at the forefront of balancing patient access rights with privacy safeguards. This presentation explores the evolving landscape of HIPAA regulations — focusing on the legal, ethical and operational dimensions of sensitive information and patient access to their health data. Through real-world scenarios and regulatory updates, attendees will gain clarity on what constitutes appropriate access, how to manage sensitive disclosures, and how to navigate the tension between compliance and patient empowerment. The session will also address emerging challenges in digital health records, third-party apps, and patient-directed sharing.
Learning Objectives:
• Interpret key provisions of the HIPAA Privacy Rule related to patient access and data ownership
• Identify common compliance pitfalls and best practices in releasing sensitive health information
• Evaluate the impact of emerging technologies and patient-directed apps on HIPAA compliance and privacy
- Subhangi
- Installation of Officers
- Annual Business meeting PPT
This presentation explores how predictive analytics and artificial intelligence are reshaping clinical, operational, and population health decision-making across modern healthcare systems. Attendees will examine real-world applications of healthcare analytics, including risk prediction, quality improvement, patient safety, and care coordination initiatives. The session will also discuss emerging challenges related to data quality, bias, governance, and responsible AI implementation in healthcare environments. Participants will gain practical insights into how healthcare organizations can move beyond traditional dashboards to create more proactive, data-driven strategies that improve patient outcomes and organizational performance.
Learning Objectives:
Evaluate the application of predictive analytics, machine learning models, and artificial intelligence algorithms in supporting clinical decision support systems (CDSS), operational optimization, and population health management within healthcare organizations.
Analyze the impact of healthcare data quality, interoperability, governance frameworks, and responsible AI methodologies on the reliability, validity, and scalability of analytics-driven healthcare solutions.
Assess advanced analytics and AI implementation strategies used to enhance patient outcome prediction, risk stratification, care coordination workflows, operational efficiency, and healthcare quality improvement initiatives across complex healthcare systems.
Student Symposium
More info coming soon!
More info coming soon!
More info coming soon!
On-Demand Sessions
This session provides a practical overview of the federal and Minnesota developments shaping health information regulation in 2026. Sam Roods will address federal legislative, regulatory, enforcement, and policy trends affecting health information management, while Kyle Probst will review Minnesota legislative proposals related to medical record disclosures, fees, sensitive health data, and parental access. The session will also highlight practical compliance and operational strategies for ROI, HIM, privacy, and legal professionals.
Learning Outcomes
By the end of the session, attendees will be able to:
• Identify key federal enforcement, regulatory, and policy trends in 2026 shaping health information compliance obligations and operational risk.
• Review Minnesota legislative proposals affecting health information management and summarize their potential impact on medical record disclosures, fee practices, sensitive data handling, parental access, and AI-related compliance.
• Develop practical steps ROI, HIM, privacy, and legal teams can take to prepare for changing federal and state regulatory and compliance requirements.
In this session, we will explore how HI professionals can optimize effective collaboration with other critical stakeholders within your organization. This collaborative effort will enable organizations to recognize the strategic significance of information governance and how leveraging it can enhance healthcare quality and cost-effectiveness.
Learning Objective:
- Recognize the importance of stakeholder collaboration in healthcare organization leadership
- Explore communication strategies and conflict resolution methods tailored to the healthcare information environment.
- Formulate a strategic action plan, encompassing stakeholder identification, engagement strategies, and communication plans.
Artificial intelligence is rapidly becoming embedded within healthcare operations, clinical workflows, documentation, coding, analytics, and decision support. While AI offers tremendous opportunities to improve efficiency and insight, healthcare organizations cannot rely on automation alone. Human expertise remains essential to ensuring AI systems are accurate, ethical, equitable, and safe for patients and providers. This webinar will explore the critical role of “humans in the loop” in healthcare AI implementation and governance. Participants will examine how health information professionals, clinicians, and organizational leaders can serve as oversight partners who validate outputs, identify bias and hallucinations, protect data integrity, and maintain accountability and trust in AI-enabled environments. Through practical healthcare examples and emerging use cases, attendees will gain a deeper understanding of where AI can augment human work, where human judgment must remain central, and how organizations can build sustainable governance models that balance innovation with trust.
Learning Objectives:
- Define human-in-the-loop AI and explain its importance in maintaining trust, safety, and accountability in healthcare environments.
- Identify key risks associated with healthcare AI, including bias, hallucinations, automation over-reliance, and data integrity concerns.
- Discuss the role of health information and healthcare professionals in AI oversight, governance, validation, and ethical implementation.
More info coming soon!
This presentation examines the use of large language models (LLMs) to translate Spanish–English patient portal messages in a multicenter study across U.S. health systems. Findings demonstrate that AI-generated translations are statistically non-inferior to certified human translators for routine communication, while revealing important differences in error patterns and clinical risk. Attendees will explore implications for health information governance, including risk-based routing, quality monitoring, and regulatory compliance under ACA Section 1557. The session emphasizes how AI translation can expand language access and support health equity while maintaining safety, trust, and information quality within digital health communication workflows.
Learning Objectives
- Explain key information quality concepts—accuracy, consistency, reliability, and fitness for use—in AI translated patient communications.
- Evaluate the risks of AI translation compared to human interpreters, including compliance with language access regulations.
- Identify practical governance approaches to manage AI translation while protecting data integrity, accountability, and compliance.
Course Info
Published Date
July 2026
Total CEs
18.0
Domain(s)
Data Structure, Content and Information Governance
Evolving Topics
Health Law & Compliance
Informatics, Analytics and Data Use
Information Protection: Access, Disclosure, Archival, Privacy and Security
Organizational Management and Leadership
Revenue Cycle Management
Pricing
GHIMA Member
$175
Non-Member
$225
Student
$50
GHIMA Member – an AHIMA dues-paying member who has selected Georgia as their Component Association (CA)
Non-Member – includes AHIMA dues-paying members from other AHIMA Component Associations (CA) as well as AHIMA Credentialed Non-Members
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Speaker
Name
Additional Information
AHIMA
This educational offering has been approved for continuing education credit for use in fulfilling the continued education requirements of the American Health Information Management Association (AHIMA).
AAPC
CEUs are accepted from programs sponsored by AHIMA national offices and the state or regional AHIMA branches. One hour of instruction is worth one CEU. A certificate of attendance or completion is necessary to show participation.
ACDIS
AHIMA CEUs that are CDI-related are accepted.
Register
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Registration will close at 11:59 PM ET on December 31, 2026.
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You must click on the button labeled “Mark Complete” at the bottom of each course page before the CE will appear on the My Certificates page.
- For on-demand events, access instructions for the course will be emailed to you within 2 business days following receipt of payment.
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- You must click on the button labeled “Mark Complete” at the bottom of each course page before the CE will appear on the My Certificates page.
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Course Content
Course Includes
- 23 Lessons
- Course Certificate
