Category: Clinical Coding & Education

Healthcare professional reviewing computer-assisted clinical coding technology to improve coding accuracy and efficiency in Australian hospitals.

Computer-Assisted Clinical Coding: Lessons Learned

by Marketing

Computer-Assisted Clinical Coding: Lessons Learned from Early Adoption in Australian Healthcare

As healthcare organisations continue to navigate workforce pressures, increasing documentation complexity, and growing demand for timely data, Artificial Intelligence (AI) is becoming an increasingly important part of the clinical coding conversation.

At the recent HIMAA QLD event, iMedX presented “AI Clinical Coding – Our Learnings So Far”, sharing practical insights from real-world implementation and adoption activities across Australian healthcare environments.

While AI in clinical coding continues to evolve, one message is already clear: successful adoption is not about replacing Health Information Managers (HIMs) and Clinical Coders — it is about augmenting their expertise with intelligent tools that improve efficiency, consistency, and scalability.

 

The Shift Towards Computer-Assisted Coding

Healthcare organisations are increasingly exploring how AI can support coding workflows, particularly in environments facing:

  • Growing coding backlogs
  • Workforce shortages
  • Increased activity-based funding pressures
  • Expanding digital health ecosystems
  • Greater expectations around data quality and compliance

Rather than moving immediately to fully autonomous coding, many organisations are taking a staged and governed approach to implementation. A typical maturity pathway may include:

  1. Coder-assisted workflows
  2. Coder validation models
  3. Semi-autonomous coding approaches
  4. Targeted autonomous coding opportunities

This phased approach enables organisations to gradually build confidence in AI outputs while maintaining governance and quality oversight.

 

AI Works Best When HIMs Stay “In the Loop”

One of the strongest themes emerging from early adoption activities is the ongoing importance of HIM and Clinical Coding expertise. AI may assist with code assignment and workflow optimisation, but human oversight remains essential to:

  • Validate outputs
  • Interpret clinical context
  • Apply coding standards and jurisdictional rules
  • Perform auditing and quality assurance
  • Govern data integrity and compliance
  • Guide implementation sequencing and readiness

In practice, HIMs are becoming the governance layer that ensures AI tools are used safely, effectively, and responsibly within healthcare environments.

 

Key Learnings from Early Computer-Assisted Coding Initiatives

As organisations begin implementing computer-assisted coding solutions, several consistent themes are emerging.

1. Data Quality Directly Impacts AI Performance

AI outputs are heavily dependent on the quality and structure of the source documentation provided. Common challenges include:

  • Inconsistent document naming conventions
  • Variable clinical documentation quality
  • Scanned records and OCR limitations
  • Missing or incomplete supporting documents

Even highly capable AI models can struggle when documentation inputs are fragmented or poorly structured.

2. Specialty-Specific Training Matters

Different specialties require different coding logic, terminology, and documentation understanding.
Early implementations have shown stronger outcomes when AI adoption is sequenced into:

  • High-volume specialties
  • More standardised episode types
  • Lower-complexity case categories

Representation examples may include:

  • Same-day procedures
  • Selected medical specialties
  • Structured surgical workflows
  • Clearly documented episodic care environments

This staged deployment model allows organisations to refine AI performance before expanding into more complex coding scenarios.

3. AI Readiness Assessments Are Critical

Many organisations underestimate the importance of assessing operational readiness before implementing Computer-assisted workflows. An effective readiness assessment may review:

  • Documentation quality and accessibility
  • Digital maturity
  • Coding workflow structure
  • Data governance practices
  • System integration capabilities
  • Specialty suitability
  • Existing coding variability

Establishing these foundations early can significantly improve implementation outcomes and user adoption.

 

Intelligent Workflow Orchestration Is Equally Important

AI adoption is not only about automated code assignment. Workflow orchestration and intelligent case management also play a major role in improving operational performance. Modern coding ecosystems are increasingly incorporating:

  • Automated case allocation
  • Priority-based queueing
  • Complexity routing
  • Coding workflow visibility
  • Integrated auditing and validation
  • Real-time coding assistance

These capabilities help coding teams focus their expertise where it delivers the greatest value.

 

Augmenting — Not Replacing — Clinical Coding Professionals

There is understandable discussion across the industry regarding the future role of AI within healthcare administration and clinical coding. However, current implementation experience suggests that AI is most effective when used to:

  • Reduce repetitive manual effort
  • Accelerate straightforward coding activities
  • Support coding consistency
  • Surface potential documentation gaps
  • Enable coders to focus on higher-complexity cases

Clinical judgement, governance, compliance oversight, and contextual interpretation remain fundamentally human responsibilities.

 

The Future of AI in Clinical Coding

AI adoption within Australian healthcare is still in its early stages, but momentum continues to build. Organisations that are likely to achieve the strongest outcomes will be those that:

  • Take a governed and staged implementation approach
  • Invest in readiness and data quality
  • Involve HIMs and Clinical Coders from the outset
  • Focus on augmentation rather than replacement
  • Maintain strong auditing and compliance frameworks

The future of computer-assisted clinical coding will not be defined solely by technology capability, but by how effectively healthcare organisations combine intelligent automation with human expertise.

As the healthcare sector continues evolving, collaboration between technology providers, HIM professionals, and coding teams will remain central to achieving safe, scalable, and sustainable outcomes.

Executive Briefing: Computer-Assisted Clinical Coding Governance Framework

Understand how governance-led AI implementation protects funding and strengthens compliance.

Request a confidential executive briefing to explore how computer-assisted clinical coding solutions can be deployed under robust governance frameworks to improve DRG integrity and reduce audit risk.

Book an Executive Consultation
Computer-Assisted Clinical Coding Governance for Australian Hospitals. Executive reviewing computer-assisted clinical coding analytics dashboard in hospital office.

Executive Priorities for Computer-Assisted Clinical Coding Solutions

by Marketing

Governance Before Algorithms

Introduction: Why Governance Must Lead AI Adoption

Artificial intelligence in healthcare is no longer a future concept, it is an operational reality. Across Australia, public and private hospitals are under sustained pressure from workforce shortages, activity-based funding constraints, heightened audit scrutiny and rising clinical complexity. For executive teams, the question is no longer whether to adopt computer-assisted clinical coding support, but how to do so responsibly.

AI clinical coding solutions promise improvements in workflow efficiency, clinical coding completeness and funding optimisation. However, technology deployed without governance can create as much risk as opportunity. Data integrity, compliance alignment, clinical engagement and executive oversight must come before automation.

Put simply: governance before algorithms.

For CEOs, CFOs and COOs, AI in clinical coding is not an IT initiative. It is a strategic funding, compliance and workforce decision.

The Industry Challenge: Funding Integrity Under Pressure

Australia’s Activity Based Funding (ABF) model ties hospital revenue to Diagnosis Related Groups (DRGs) and National Weighted Activity Units (NWAUs). Inaccurate or incomplete clinical coding directly affects funding allocation. Under-coding erodes revenue, over-coding increases audit exposure and reputational risk.

At the same time, hospitals face:

  • Persistent shortages of qualified clinical coders
  • Increasing documentation complexity across multi-disciplinary care
  • Tightening external audit environments
  • Growing executive accountability for funding assurance
  • Backlogs that delay episode finalisation and revenue recognition.

Clinical documentation has expanded, but clinical coding resources have not kept pace. Clinical coding teams are often managing higher case complexity with limited capacity, creating operational bottlenecks and financial uncertainty.

Executives need solutions that increase clinical coding accuracy and timeliness without compromising compliance.

The Role of AI in Clinical Coding

Computer-assisted (AI) clinical coding solutions are designed to support, not replace, qualified coders. When implemented correctly, they function as workflow augmentation tools that enhance human expertise.

At a high level, computer-assisted clinical coding systems can:

  • Analyse structured and unstructured clinical documentation
  • Surface potential diagnosis and procedure codes for coder review
  • Highlight documentation gaps or inconsistencies
  • Assist in identifying comorbidities and complications
  • Prioritise high-value or complex episodes.

Importantly, AI does not make final clinical coding decisions. The clinical coder retains authority and accountability. The technology accelerates review, improves visibility across documentation and reduces manual searching.

For executives, the distinction matters. The objective is not automation for its own sake. The objective is improved clinical coding completeness, consistency and throughput under robust governance frameworks.

Successful AI deployment requires:

  • Clear clinical governance oversight
  • Defined accountability structures
  • Alignment with Australian Clinical Coding Standards
  • Transparent auditability
  • Ongoing monitoring of performance metrics.

Without these controls, AI becomes a risk multiplier. With them, it becomes a performance accelerator.

Operational & Financial Impact

1. DRG Optimisation and NWAU Integrity

Improved clinical coding completeness ensures episodes are appropriately classified within the correct DRG. For public hospitals, this directly influences NWAU calculation and ABF funding. For private hospitals, it impacts insurer claims and revenue cycle performance.

Even small percentage improvements in clinical coding accuracy across thousands of separations can translate into significant funding recovery.

2. Reduced Backlogs and Faster Finalisation

AI-supported workflows can reduce clinical coding turnaround times by streamlining documentation review. This supports earlier episode finalisation, improving cash flow predictability and revenue recognition timelines.

3. Audit Readiness and Executive Assurance

Executives are increasingly accountable for funding integrity. AI systems that provide traceability, version control and structured audit trails enhance internal and external audit readiness.

With appropriate governance dashboards, executives gain:

  • Visibility of clinical coding performance trends
  • Insight into DRG variance patterns
  • Early warning indicators for documentation risk
  • Measurable ROI reporting

This moves AI from a “technology project” to a board-level funding assurance initiative.

Executive Briefing: Computer-Assisted Clinical Coding Governance Framework

Understand how governance-led AI implementation protects funding and strengthens compliance.

Request a confidential executive briefing to explore how computer-assisted clinical coding solutions can be deployed under robust governance frameworks to improve DRG integrity and reduce audit risk.

Book an Executive Consultation

How iMedX Can Help

iMedX partners with Australian hospitals to strengthen clinical coding governance while introducing computer-assisted coding and workflow support.

Our approach prioritises:

  • Governance Framework First:  Before implementation, we work with executive and clinical coding leadership teams to define oversight structures, performance metrics and compliance safeguards aligned to Australian standards.
  • Workflow Integration, Not Disruption:  Our Computer-Assisted Coding (CAC) solutions are designed to complement existing clinical coding workflows, supporting coders with intelligent prompts while preserving professional judgement.
  • Funding & Compliance Alignment:  We understand the ABF environment, DRG optimisation and audit requirements specific to Australian healthcare. Our focus is measurable improvements in clinical coding completeness and funding integrity, not experimental technology deployment.
  • Executive-Level Reporting:  We provide transparent performance insights so CEOs, CFOs and COOs can confidently demonstrate governance, compliance and return on investment. AI is powerful. But in healthcare, power without governance is unacceptable. iMedX ensures hospitals implement computer-assisted clinical coding solutions responsibly, strategically and sustainably.

Key Takeaways

  • AI in clinical coding should be governed before it is deployed.
  • Australian hospitals face funding and workforce pressures that demand smarter workflow solutions.
  • AI can enhance clinical coding completeness, accuracy and timeliness when aligned with governance frameworks.
  • Improved DRG classification directly influences NWAUs, ABF funding and revenue integrity.
  • Executive oversight, audit readiness and measurable ROI are essential.
  • iMedX supports hospitals with governance-led AI implementation tailored to the Australian healthcare environment.

AI is not a shortcut. It is a strategic tool. When implemented correctly, it protects funding, strengthens compliance and empowers clinical coding teams, delivering sustainable performance outcomes across the organisation.

Rapid Return on Investment: Improve cash flows and minimise delays in revenue recognition, driving faster revenue cycles.

The iMedX HIM Companion Suite (HCS) is designed to empower healthcare providers, leveraging data, and unlocking time & money to provide better care.

Would you like to see how our computer-assisted coding solution can enhance your workflow? REGISTER NOW for a free demonstration of the HIM Companion Suite technology and to hear more about the ROI you can achieve for your organisation.

Get started today! Book your demo now.
Hospital executives reviewing AI clinical coding performance dashboard

Practical Steps for AI Clinical Coding Readiness

by Marketing

Preparing the Runway: Practical Steps for AI Clinical Coding Readiness in Australian Hospitals

Australian hospitals are navigating sustained funding pressure, increasing audit scrutiny, and workforce constraints across health information management functions. As documentation volumes grow and compliance expectations tighten, executives are exploring AI enabled clinical coding solutions to strengthen accuracy, protect revenue and improve operational visibility. 

However, successful AI adoption begins well before implementation. Preparing the organisational runway is what determines whether AI enhances governance — or simply adds another system. 

Industry Challenge 

Across both public and private hospitals, clinical coding backlogs, documentation variability and audit exposure continue to impact Diagnosis-Related Groups (DRGs) and National Weighted Activity Unit (NWAU) optimisation. At the same time, experienced clinical coders remain in short supply, placing additional strain on teams. 

Executive leaders are asking: 

  • How do we protect funding integrity?
  • How do we reduce audit risk? 
  • How do we support clinical coders without compromising compliance? 

AI clinical coding solutions are increasingly part of the answer — but readiness is not purely technical. It is operational, cultural and governance-based. 

Role of AI in Clinical Coding 

When applied responsibly, AI clinical coding solutions assist by: 

  • Identifying documentation gaps and clinical coding risk indicators
  • Prioritising episodes for review 
  • Supporting consistency in code assignment 
  • Strengthening audit readiness through enhanced visibility 

Importantly, AI does not replace clinical coders. It augments expertise, allowing highly skilled professionals to focus on complex judgement calls rather than manual review alone. 

Hospitals that see the greatest benefit treat AI as a governance support tool — embedded within existing quality and compliance frameworks. 

Operational & Financial Impact 

The operational implications are significant. 

Improved documentation accuracy supports more precise DRG allocation and protects NWAU calculations. Earlier identification of documentation gaps reduces retrospective audit exposure. Greater workflow visibility assists executives in understanding clinical coding turnaround times, resourcing pressure and revenue risk. 

For Boards and Executive teams, this translates to: 

  • Increased confidence in funding outcomes
  • Reduced audit volatility 
  • Clearer performance reporting 
  • Stronger revenue integrity governance 

AI preparedness, therefore, is not just about automation — it is about protecting sustainability. 

How iMedX Can Help 

At iMedX, we work with Australian hospitals to assess readiness for AI clinical coding solutions before implementation begins. 

Our approach focuses on: 

  • Workflow assessment and optimisation
  • Governance alignment 
  • Data quality evaluation 
  • Change management planning 
  • Executive reporting frameworks 

By preparing the runway first, hospitals can adopt AI with clarity, compliance confidence and measurable impact — rather than uncertainty. 

Key Takeaways 

  • AI clinical coding solutions are most effective when governance is established first. 
  • Operational readiness determines financial outcomes. 
  • Executive oversight must extend across the admission-to-funding lifecycle. 
  • Preparing for AI is a strategic decision — not simply a technology purchase. 

If your organisation is exploring AI clinical coding solutions, now is the time to assess your readiness. 

Speak with the iMedX team to discuss your AI preparedness strategy. 

Assess Your AI Readiness with Confidence.

If your organisation is exploring AI clinical coding solutions, the most important step is understanding your operational and governance readiness. 

iMedX works with Australian hospitals to evaluate documentation workflows, funding risk exposure and executive reporting frameworks — before AI implementation begins. 

Book a confidential AI preparedness discussion with our team.

Schedule an Executive Consultation
AI clinical coding solutions supporting revenue cycle management in hospitals

AI-Powered Revenue Cycle Management

by Marketing

How Automation Drives Faster Payments

Across Australian public and private hospitals, pressure on revenue cycles continues to intensify. Funding models are becoming more complex, audit scrutiny is increasing, and Health Information Services teams are being asked to do more with fewer resources. At the same time, executives require greater confidence that hospital activity is being accurately captured, coded and funded.

Within this environment, AI clinical coding solutions are increasingly being adopted as a practical way to strengthen revenue cycle management. When applied responsibly, automation supports faster, more accurate workflows while protecting compliance and improving confidence in funding outcomes.

Industry Challenge

Revenue cycle delays are rarely caused by a single issue. More often, they arise from a combination of incomplete clinical documentation, manual coding processes, fragmented systems and retrospective audit activity.

For Australian hospitals, these challenges can result in:

  • Delays from discharge to funding
  • Increased rework and coding amendments
  • Missed DRG and NWAU optimisation opportunities
  • Heightened audit and compliance risk

Workforce pressures further compound the issue. Experienced clinical coders and Health Information Managers are spending valuable time managing manual processes and documentation queries, rather than focusing on quality, optimisation and assurance activities that protect hospital revenue.

Role of AI in Clinical Coding

AI does not replace Australian Coding Standards or clinical judgement, nor people. Instead, AI clinical coding solutions embed intelligence into everyday workflows to support accuracy, prioritisation and efficiency.

At a high level, AI-enabled revenue cycle tools can:

  • Analyse coding and clinical data to identify anomalies or optimisation opportunities
  • Prioritise episodes based on risk, value or complexity
  • Support earlier identification of documentation gaps that may impact coding
  • Reduce reliance on retrospective audits by improving quality upstream

By automating low-value, repetitive tasks and surfacing actionable insights, AI allows coding teams to focus effort where it delivers the greatest impact.

Operational & Financial Impact

For executives, the value of AI-powered revenue cycle management lies in measurable operational and financial outcomes.

Improved coding accuracy and workflow efficiency support:

  • More timely DRG assignment and submission
  • Improved NWAU allocation aligned to patient complexity
  • Shorter timeframes from discharge to funding
  • Greater audit readiness and governance confidence

Near real-time visibility into coding performance and revenue risk enables CEOs, CFOs and COOs to make informed decisions with confidence, supported by defensible data and transparent processes.

How iMedX Can Help

iMedX supports Australian hospitals with AI clinical coding solutions designed to strengthen revenue cycle performance while maintaining compliance and governance.

Through the iMedX HIM Companion Suite, hospitals can:

  • Gain insight into coding accuracy, optimisation and revenue risk
  • Automate and manage coding and audit workflows more effectively
  • Support clinical coders and HIM teams with AI-enabled guidance aligned to Australian standards
  • Improve documentation quality and reduce unnecessary rework across episodes of care

iMedX combines deep Health Information Management expertise with practical technology to help hospitals accelerate funding outcomes without compromising quality or compliance.

Key Takeaways

  • Revenue cycle delays are often driven by documentation gaps, manual workflows and retrospective processes
  • AI clinical coding solutions support faster, more accurate and compliant coding workflows
  • Automation improves DRG integrity, NWAU optimisation and audit readiness
  • Executives gain greater confidence in funding outcomes through improved visibility and governance
  • iMedX delivers AI-enabled solutions purpose-built for the Australian healthcare environment
iMedX AI Technology – Health Information Management, Clinical Documentation Improvement, Medical Transcription solutions

See What AI Clinical Coding Could Deliver for Your Hospital

Accurate and timely coding underpins hospital financial performance. AI-assisted coding workflows help organisations:

  • Reduce missed funding due to documentation or coding gaps
  • Optimise DRG and NWAU outcomes in line with standards
  • Shorten the time from discharge to funding

For CFOs and COOs, this means greater confidence that hospital activity is appropriately funded, with improved visibility of revenue risks and opportunities across episodes of care.

Every hospital’s casemix, documentation maturity and funding profile is different. A short demonstration shows how AI can support your specific coding, audit and revenue objectives.

Book a demo of the HIM Companion Suite or download the brochure to share with your leadership team.

BOOK A DEMO
Download brochure

Supporting Financial Performance and Return on Funding

AI clinical coding solutions supporting accuracy and compliance in hospitals

The Role of AI in Clinical Coding

by Marketing

Improving Accuracy & Compliance

Clinical coding sits at the heart of hospital funding, data integrity and regulatory compliance. In Australia’s increasingly complex health funding environment, Health Information Services (HIS) teams are under sustained pressure to deliver accurate, timely and compliant coding outcomes while managing workforce constraints and growing documentation complexity.

Artificial intelligence is now emerging as a practical enabler for Health Information Management, supporting clinical coders and hospital executives to improve accuracy, reduce risk and protect revenue. When applied responsibly, AI clinical coding solutions enhance human expertise rather than replace it—strengthening governance, improving workflow efficiency and supporting optimal Diagnosis Related Group (DRG) and NWAU outcomes.

The Growing Complexity of Clinical Coding

Australian public and private hospitals operate within a framework that demands precision. Coding accuracy directly influences:

  • DRG assignment and NWAU allocation
  • Hospital Activity Based Funding (ABF)
  • Regulatory compliance and audit outcomes
  • The integrity of data used for planning, research and performance reporting

At the same time, coding teams are challenged by incomplete or non-specific clinical documentation, manual audit processes, system fragmentation and increasing audit scrutiny. These pressures heighten organisational risk and can lead to missed funding opportunities or compliance exposure if not addressed proactively.

Where AI Fits in Clinical Coding

AI does not change Australian Coding Standards or jurisdictional rules. Instead, it enhances how those standards are applied at scale and at speed.

Modern AI clinical coding solutions analyse structured and unstructured hospital data to:

  • Identify coding anomalies and optimisation opportunities
  • Flag high-risk or high-value episodes for review
  • Support real-time workflow prioritisation
  • Reduce manual rework and post-coding amendments

By embedding intelligence into everyday coding processes, AI supports consistency, transparency and defensible decision-making across the admission-to-funding lifecycle.

Improving Coding Accuracy Through AI Assistance

Accuracy remains the cornerstone of effective clinical coding. AI-enabled tools can assist by:

  • Highlighting documentation gaps that may impact DRG assignment
  • Identifying mismatches between clinical indicators and coded data
  • Supporting coders with contextual guidance aligned to Australian standards

This targeted support reduces reliance on retrospective audits and helps ensure coding quality is achieved earlier in the process. For executives, this translates to stronger assurance that reported activity accurately reflects patient complexity and care delivery.

Strengthening Compliance and Audit Readiness

Audit activity across the Australian health system continues to intensify. AI plays a critical role in strengthening compliance by enabling:

  • Consistent, rules-based episode selection for audit
  • Near real-time visibility of coding quality trends
  • Earlier detection of systemic issues or emerging risks

Rather than relying on ad hoc or manual sampling, AI-driven audit workflows allow hospitals to focus resources where they deliver the greatest value—improving governance while reducing operational burden.

Enhancing Workflow and Workforce Sustainability

Workforce sustainability is a growing concern for Health Information Managers and hospital executives alike. AI clinical coding solutions support teams by:

  • Reducing time spent on low-value manual tasks
  • Streamlining audit management and reporting
  • Supporting coder development through embedded guidance and insights

By improving throughput without compromising quality, AI helps stabilise coding teams and enables HIM leaders to focus on higher-value strategic and quality initiatives.

How iMedX Can Help

iMedX supports Australian public and private hospitals with practical, governance-led AI clinical coding solutions designed to complement existing systems and workflows.

Through the iMedX HIM Companion Suite, hospitals can:

  • Gain insight into coding accuracy and optimisation opportunities
  • Manage coding and audit workflows more efficiently
  • Support clinical coders with AI-enabled guidance aligned to Australian standards

Improve documentation quality and reduce unnecessary rework

iMedX’s approach is grounded in deep Health Information Management expertise, ensuring AI is applied responsibly, transparently and in a way that supports both compliance and financial sustainability.

Key Takeaways

  • AI clinical coding solutions are a practical enabler of accuracy, compliance and efficiency
  • AI supports, rather than replaces, experienced clinical coders and HIM teams
  • Improved workflow visibility strengthens audit readiness and governance
  • Accurate coding underpins DRG integrity, NWAU optimisation and funding confidence
  • iMedX delivers AI clinical coding solutions purpose-built for the Australian healthcare environment
iMedX AI Technology – Health Information Management, Clinical Documentation Improvement, Medical Transcription solutions

See What AI Clinical Coding Could Deliver for Your Hospital

Accurate and timely coding underpins hospital financial performance. AI-assisted coding workflows help organisations:

  • Reduce missed funding due to documentation or coding gaps
  • Optimise DRG and NWAU outcomes in line with standards
  • Shorten the time from discharge to funding

For CFOs and COOs, this means greater confidence that hospital activity is appropriately funded, with improved visibility of revenue risks and opportunities across episodes of care.

Every hospital’s casemix, documentation maturity and funding profile is different. A short demonstration shows how AI can support your specific coding, audit and revenue objectives.

Book a demo of the HIM Companion Suite or download the brochure to share with your leadership team.

BOOK A DEMO
Download brochure

Supporting Financial Performance and Return on Funding

Health information management provider iMedX has launched its new HIM Companion Suite at this year’s Digital Health Festival in Melbourne

iMedX Launches AI-Powered HIM Companion Suite at Digital Health Festival 2025

by Marketing

At this year’s Digital Health Festival in Melbourne, iMedX proudly unveiled the HIM Companion Suite — a transformative step forward in streamlining health information management (HIM) and medical coding processes. Built for healthcare providers navigating increasing complexity, this new platform brings together the full coding workflow — all in one place.

The solution was developed to eliminate the need for multiple third-party tools and platforms, helping healthcare organisations gain greater accuracy, efficiency, and cost savings in their coding operations.

“We’re really trying to give time and money back to care,” said Alexander Zacher, Managing Director of iMedX Australia & New Zealand. “There are so many point solutions across the workflow, and what we’ve created is a true one-stop shop.”

Smart Coding with Humans in the Loop

The HIM Companion Suite is powered by multi-agent AI designed to mirror human decision-making in coding and auditing — while ensuring healthcare professionals remain at the centre of the process.

Through this human-in-the-loop approach, coders, auditors, and educators can rely on the platform for support, not replacement. Simpler episodes such as infusions or scopes can be processed in minutes, freeing coders to focus on more complex clinical cases and upskilling.

Mike Smith, former founder of Pallas AI and now Chief Technology Officer at iMedX ANZ, explained that multi-agent AI overcomes legacy token limits and distributes tasks among expert agents for more scalable, accurate outcomes. The suite supports all documentation types, from scanned paper to EMRs, and integrates with leading systems like Cerner, Epic, and custom hospital EMRs using modern APIs and HL7 standards.

“Finally, it’s all in one place,” said a client. “I don’t have to juggle multiple platforms anymore.”

Built with Privacy and Interoperability in Mind

Patient privacy is foundational to the platform’s architecture. All personally identifiable (PII) and protected health information (PHI) is removed before any AI processing begins, ensuring data remains secure and compliant.

iMedX’s commitment to interoperability and lower-cost solutions helps healthcare organisations of all sizes improve clinical documentation quality and funding accuracy — without sacrificing control or security.

Want to know more?

? Read the full Pulse+IT article:
AI-enabled iMedX coding module keeps humans in the loop

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Discover how iMedX can support your team with smarter tools that empower coders to assign accurate diagnosis and procedure codes, stay compliant, and keep healthcare operations running smoothly.

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iMedX team at APHA2025 Congress in Darwin showcasing AI-Assisted Clinical Coding Suite to healthcare professionals

Driving Change in the Health Sector

by Marketing

AI and Digitisation in Focus at the recent Australian Private Hospital Association (APHA) Congress

Our first major conference of the year set the tone for what’s clearly a pivotal moment in the evolution of the Australian health sector.   

Personally, it was great to be back in Darwin again – I didn’t realise how much I missed wild barramundi, the view from Stokes Wharf and the unique Top End culture! 

The conference spotlight was firmly on the potential of digitisation and artificial intelligence (AI) – the conversations we had with attendees were both optimistic and realistic which was pleasing.

The central theme of conversations we were having was around solving Revenue Cycle Management challenges through smarter, tech-enabled solutions.

Senior health leadership are seeking innovative ways to reduce their costs and improve efficiency, and they acknowledge that the way forward is through digital solutions – AI is fast becoming a central part of that strategy.

In particular, there was significant interest in our AI-assisted Revenue Cycle Management and Computer Assisted Coding solutions, as organisations look to streamline operations and better manage clinical documentation and reimbursement workflows.

One recurring pain point discussed was the ongoing cycle of health fund audits and counter-audits; an administrative burden that continues to strain resources. Eliminating this back-and-forth through better data transparency and smarter tools could deliver real savings across the system. It’s a goal that’s already within reach, and one we are actively supporting through our Companion Suite’s Enhance Module – the one stop shop for live coding advice, audit program management and streamlined optimisation. Getting high NWAU has never been easier really.

Of course, while the appetite for solutions is strong, there’s also a healthy dose of scepticism from some industry leaders about where we currently stand in terms of technological maturity. This is not unexpected and in fact, it underscores the importance of continual innovation. Also, one quote during the sessions that resonated was the supposition that the “the clinical community is unconvinced”; the health industry needs to have made, and to make a greater effort to bring clinicians along with the non-clinical advances.

To lead in this space, we must not only keep pace with evolving AI capabilities, but also consistently demonstrate the tangible value of our Code Accelerate Computer Assisted Coding and AI Education Companion. And this is what we are focussing on. We did at least a dozen demos of our tech and Mike our CTO was run off his feet!

Another topic that surfaced across conference sessions was the viability of private hospitals and their vital role in Australia’s healthcare landscape. The private sector performs over 68% of all elective surgeries and facilitates 41% of hospital admissions in Australia; figures that were highlighted repeatedly as a reminder of the invaluable contribution to Australians’ health care. Ensuring Private Hospital sustainability is not just important for the sector, but for the optimal wellbeing and quality of life of the broader population. We are firmly united in supporting them in everything we do.

We extend our sincere thanks to the event organisers at APHA and all the individuals who made the conference such a success. It was a fantastic opportunity to reconnect with clients, engage with industry leaders, and share the work we’re doing to shape the future of healthcare to enhance Revenue Cycle Management.

If you would like to know more about things to do in Darwin, or about iMedX please email me on kdawson@imedx.com.au or +61 408 056 630!

Here’s to more conversations and more progress throughout the year, I am looking forward to the next round of conferences and conversations.

Author: Karen Dawson, Strategic Partnership Director – Revenue Cycle Management
Contact Details: see above, and LinkedIn

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clinical coding education and training for excellence in healthcare - imedx.com.au

Understanding the Distinction: Education vs. Training in Clinical Coding for Excellence in Healthcare

by Marketing

Education and training are frequently interchanged, yet they represent distinct concepts with varied objectives and results. At iMedX, we recognise the importance of distinguishing between education and training, particularly for individuals and organisations aiming to cultivate essential skills and knowledge in today’s dynamic and competitive landscape.

In the realm of clinical coding, understanding the nuances between education and training is crucial for ensuring accurate coding, compliance, and streamlined healthcare operations.

How well does your team know the difference?

Education encompasses the acquisition of knowledge, the cultivation of critical thinking abilities, and the promotion of intellectual development. It represents a comprehensive approach to learning that extends beyond gaining specific job-related skills.

The primary goal of ICD-10AM education is to provide Coders with a well-rounded understanding of various topics, theories, and concepts that can help them think critically, solve complex coding problems, and navigate to new situations.

In contrast, training focuses on the practical implementation of ICD-10 coding principles in real-world settings. ICD-10AM training includes hands-on practice, coding scenarios, case studies, and simulations designed to replicate authentic coding scenarios. Training assists coders in developing the necessary skills to effectively navigate the ICD-10AM code set, accurately apply coding guidelines, and ensure correct code assignment for reimbursement and data reporting purposes.

Education and training differ significantly in their approaches to learning. Education emphasises theoretical knowledge, conceptual understanding, and critical thinking skills, whereas training prioritises practical application, hands-on experience, and skill development.

Both education and training are essential for personal and professional development, and coders and organisations can benefit from combining the strengths of both approaches to achieve their learning goals and objectives.

At iMedX, we offer both education and training, recognising their crucial roles in developing proficient Clinical Coders. Our aim is to empower coders to accurately assign diagnosis and procedure codes, ensure coding compliance, and support efficient healthcare operations. By combining education and training, coders can refine their skills, enhance coding accuracy, and contribute effectively to high-quality healthcare data management.

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iMedX and Pallas AI merge to drive innovation in health information management and the end-to-end revenue cycle.  

by Marketing

Melbourne, Australia – 19th August 2024, iMedX, leader in revenue cycle management and clinical documentation, and Pallas AI, specialising in data, AI and Automation in the revenue cycle are pleased to announce the merger of the two entities, with Mike Smith appointed as Chief Technology Officer of iMedX. 

This union reflects strong strategic alignment between iMedX and Pallas and a mutual vision to deliver innovations in the end-to-end revenue cycle management and AI driven health information management solutions to providers globally.  

The united entity, operating under the iMedX Australia and New Zealand banner, will further drive our mission to give time and money back to care.  

Together, iMedX and Pallas blend cutting edge technology with deep industry expertise and exceptional service delivery to drive even better outcomes for clients and patients.   

iMedX customers will immediately be able to benefit from the Pallas Coder Companion Suite of technology. (https://imedx.com.au/imedx-companion-suite/) 

Our shared values and objectives as a unified company can drive growth across Australia and New Zealand and wider to the global stage.   

“On behalf of the entire iMedX team, I am thrilled to announce and extend a warm welcome to Mike and his talented team as they join the iMedX and global Rapid Care group. This milestone propels us further along our strategic roadmap, reinforcing our commitment to delivering AI driven solutions that support humans in healthcare. The team are excited to integrate the cutting-edge AI Companion technology into our suite of solutions, aligning with our mission to enable providers to operate at their best. I have every confidence that Mike and our combined teams will drive us to the forefront in providing innovative solutions in information management globally” – Alexander Zacher, Managing Director, iMedX Australia & New Zealand 

“We are delighted to announce the merge of Pallas AI into the iMedX Australia and New Zealand team – We carefully considered what this meant for our amazing clients and team, and truly believe what we deliver together will be transformative for Healthcare Providers and with our collective offering deliver on the best interests of our clients and team. Together, we are set to revolutionise the industry, unlocking unparalleled value to help providers realise additional resources, which can be spent towards better care.” – Mike Smith, Founder and CEO, Pallas AI and Chief Technology Officer, iMedX Australia and New Zealand. 

About Pallas AI: 

Pallas AI was founded to realise additional resources for providers, which can be spent towards better care. A high-performance team, specialising in data, AI, and Automation. The Pallas team come from the Hospital Provider side and bring products, team and clients across private and public to this merger. 

About iMedX Australia and New Zealand: 

iMedX is one of Australia and New Zealand’s leading revenue cycle management, clinical documentation, and medical transcription solution providers. Our high quality, end-to-end solutions enable healthcare providers to operate at their best so they can focus on patient care.