AI can automate the work. Data governance can build trust. Revenue cycle management (RCM) orchestration can connect the process. Health Information (HI) professionals have an opportunity to lead the transformation.
Attending the AHIMA 2026 Annual Conference in San Antonio, Texas, reinforced a clear message: HI is moving beyond traditional records management into a strategic role that influences data integrity, operational performance, compliance, and financial outcomes.
From educational sessions to conversations with vendors on the exhibit floor, three trends stood out: AI-powered automation, enterprise data governance, and RCM orchestration. Together, these developments are changing how healthcare organizations manage information and creating new opportunities for HI professionals to lead.
Driving the future of HI: Three key trends to watch
1. AI automation: Where HI professionals drive quality
AI-assisted coding, clinical documentation improvement (CDI), and automated auditing are changing how routine work gets done. As technology takes on more repetitive tasks, HI professionals can focus on complex cases, exception management, quality validation, and compliance.
But automation alone is not success. AI-generated outputs must be accurate, explainable, and appropriately reviewed. HI professionals bring the coding knowledge, documentation expertise, and regulatory understanding needed to validate results and identify risk.
HI professionals must move from performing every task manually to overseeing quality, resolving exceptions, and ensuring automated workflows produce reliable outcomes.
2. Data governance: Where HI expertise meets information integrity
AI is only as reliable as the information behind it. Incomplete records, inconsistent data, and poor documentation can affect coding accuracy, reporting, reimbursement, and downstream decision-making.
HI professionals are uniquely positioned to support enterprise data governance through their expertise in documentation integrity, coding standards, privacy, compliance, and information quality.
The opportunity: Help establish the standards and controls that ensure health information is accurate, secure, traceable, and fit for use.
3. Strategy in action: HI leaders transforming documentation into business value
HI is increasingly connected to clinical operations, technology, compliance, and finance. This creates an opportunity for professionals to move beyond identifying errors and begin helping organizations understand their causes and business impact.
For example, recurring coding errors may reveal documentation gaps. Denial patterns may point to opportunities for CDI improvement. Delays in record completion may expose workflow problems that affect billing.
HI professionals must translate information and quality findings into measurable improvements across the healthcare enterprise.
RCM orchestration: Connecting the revenue cycle
One emerging development deserves particular attention: revenue cycle management orchestration.
Traditional automation often addresses individual tasks, such as coding a record, identifying a documentation gap, checking claim edits, or managing a denial. RCM orchestration takes a broader approach by coordinating people, applications, AI tools, rules, and workflows across the revenue cycle.
Instead of simply identifying a problem, orchestration helps move it toward resolution.
This matters to HI because coding, CDI, record completion, data quality, and audit performance directly influence downstream revenue cycle processes.
When systems operate independently, staff may rely on spreadsheets, emails, and disconnected work queues to track issues. Problems can remain unresolved, handoffs can be delayed, and recurring errors may go unnoticed.
An RCM orchestration platform can connect these workflows, assign responsibility, track deadlines, route exceptions, and provide visibility into progress. It does not necessarily replace existing EHR or RCM applications; its value depends on effective integration, workflow design, and governance.
RCM orchestration helps HI professionals:
- Improve coordination: Reduce manual follow-up across disconnected systems and work queues.
- Support better documentation: Route documentation gaps to the appropriate HI, CDI, or clinical professional for review.
- Strengthen coding quality: Coordinate coding tools, edits, human review, and exception handling.
- Enable earlier intervention: Help identify incomplete records and recurring documentation issues before they contribute to claim delays or denials.
- Improve performance visibility: Connect documentation quality, coding accuracy, claim readiness, and denial trends.
Consider a potential documentation-related denial. A coding tool may flag an issue, but the flag alone does not resolve it. An orchestrated workflow can route the case to the appropriate professional, track the review, support compliant clarification when necessary, and return the case to the claim process once resolved. Recurring issues can then inform education and process improvement.
For HI professionals, this represents a shift from managing individual tasks to helping improve the entire information workflow.
HI professionals can drive transformative AI implementation
Identify opportunities
Examine where manual processes, disconnected systems, incomplete records, and recurring data-quality issues create avoidable work or risk.
Measure performance
Establish baseline metrics for coding accuracy, CDI outcomes, record-completion turnaround, audit findings, denials, and exception-resolution time.
Evaluate solutions
Assess AI and orchestration tools for accuracy, compliance, integration, auditability, human oversight, and measurable operational benefits.
Invest in skills
Develop expertise in AI governance, complex coding, CDI, data analytics, workflow design, and cross-functional collaboration.
Words of wisdom for HI leaders: Learn to direct automation
The true value of HI professionals extends far beyond data entry and record processing. It lies in understanding the clinical, regulatory, operational, and financial meaning of health information.
As the profession evolves, three capabilities will become increasingly important:
- Data translation: Connect documentation and data-quality findings to patient care, compliance, reimbursement, and operational performance.
- Critical judgment: Validate AI outputs, resolve complex cases, interpret requirements, and oversee exceptions that technology cannot reliably handle alone.
- Change leadership: Participate in technology selection, workflow redesign, governance, and performance improvement. HI should help shape automation, not simply adapt to it.
The bottom line: HI professionals turn AI and data into strategic enterprise value
The future of HI is not about processing information faster. It is about making information accurate, actionable, connected, and trustworthy.
AI can automate tasks. Data governance builds trust. RCM orchestration connects workflows.
HI professionals bring the expertise that makes these capabilities effective, compliant, and meaningful. By embracing technology while strengthening their roles in governance, quality, and strategic decision-making, HI professionals can help transform information into measurable organizational improvement.
The next chapter of HI belongs to those who can turn insights into action and help healthcare organizations act on the right information at the right time.