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Datatrack's DigitalOwl Recognised as Natural Language Generation Platform of the Year for Medical Record Reviews

Tue, 01 Jul 2025 05:40:38 GMT

We’re proud to announce that DigitalOwl has won an
AI Breakthrough Award for the second year in a row!

Datatrack's Medical Record Analysis and Review platform, DigitalOwl, a pioneer in AI-driven medical data analysis, has been named Natural Language Generation Platform of the Year in the 8th annual AI Breakthrough Awards program. Conducted by AI Breakthroug h who are a leading market intelligence organisation that recognise the top companies, technologies and products in the global Artificial Intelligence market today.

The AI landscape is evolving faster than ever and Datatrack's DigitalOwl platform continues to evolve right along with it. From early innovations in Natural Language Processing (NLP) to today’s cutting-edge generative AI capabilities, we remain at the forefront of medical record analysis, helping legal and insurance professionals make faster, more confident decisions.

The AI Breakthrough Awards shine a spotlight on the boldest innovators and most impactful technologies leading the charge in AI across a comprehensive set of categories. This year’s program attracted more than 5,000 nominations from over 20 different countries throughout the world, underscoring the explosive growth and global importance of AI as a defining technology of the 21st century.

“Medical record reviews are time-consuming and error-prone, making it difficult for legal and insurance professionals who must navigate this vast and complex data. The tediousness of the task results in skilled workers being pulled away from strategic decision-making,” said Steve Johansson, managing director, AI Breakthrough. “DigitalOwl is transforming the medical record review process into a faster, smarter, and more reliable experience by combining NLP-driven accuracy with investigative depth. Their breakthrough technology is setting a new standard for medical data analysis across the legal and insurance industries,” said Johansson.

DigitalOwl’s platform is powered by proprietary Natural Language Processing (NLP) technology that interprets and extracts key insights from medical records, streamlining the review process for legal and insurance professionals. Unlike generic AI tools, DigitalOwl’s technology is continuously refined by an in-house team of data scientists, medical experts and industry professionals with deep experience in insurance and legal processes. This ensures that critical details are accurately captured, properly contextualised and delivered in a format that supports real-world decision-making.

Datatrack is the exclusive partner to DigitalOwl in Australia

DigitalOwl is a leading InsurTech platform empowering insurance and legal professionals to transform complex medical data into actionable insights. With Datatrack's DigitalOwl platform, insurance and legal professionals across Australia can more efficiently assess risk and make more informed decisions with greater confidence.

All data is processed and stored on servers housed in Australia, no data is held or processed offshore.

Our Competitive Edge: The Specialised Medical Knowledge Base

Tue, 17 Jun 2025 17:20:01 GMT

We’ll explore the specifics of our Medical Knowledge Base—detailing what it is,
its functions and the substantial benefits it delivers to Datatrack customers.

A standout feature that distinguishes the Datatrack DigitalOwl service from its competitors, particularly general-purpose AI solutions, is its specialised Medical Knowledge Base. This unique asset empowers DigitalOwl’s AI to understand, contextualise and establish intricate relationships within medical data as a human would.

What is DigitalOwl’s Medical Knowledge Base?

DigitalOwl’s Medical Knowledge Base is an extensive and continuously expanding resource that includes numerous data points critical for AI-powered medical record summaries. This comprehensive database encompasses all necessary medical terminology and integrates hierarchical data across conditions, procedures, and medications, allowing the AI to infer connections and enhance its ability to extract and highlight key information.

The Medical Knowledge Base team also focuses on mapping diagnoses to their relevant diagnostic and therapeutic procedures, associated medications, and risk factors. This approach enables the model to function as a reliable "medical expert" when uncertainty arises, ensuring that even the most complex cases are handled with precision. All of this is curated by DigitalOwl’s in-house team of medical experts, data scientists, and industry professionals to ensure both accuracy and depth in every summary.

How It Works

The Medical Knowledge Base is the cornerstone of our AI’s capability to interpret and analyse complex medical information with high accuracy.
It extends beyond mere keyword scanning, enabling the AI to comprehend the subtle nuances in medical language and the intricate relationships between various medical conditions, treatments, and outcomes. This sophisticated understanding facilitates more precise and insightful AI medical record reviews, crucial for our clients in the insurance and legal industries.

The Medical Knowledge Base enables the normalisation of medical information and standardisation of unstructured medical data, making sense of it in real-time. It helps organise and clarify data where specific diagnoses, abbreviations, and diagnosis codes might be listed in a record and convey slightly different information. This organisation is crucial for distinguishing and prioritizing the most important information.

Moreover, the Medical Knowledge Base goes further than just terminology standardisation; it establishes intricate relationships within the medical data.
For instance, it maps various aspects of medical diagnoses including symptoms, risk factors, complications, indicated medications, therapeutic and diagnostic procedures. This mapping provides a structured way for our model to understand and determine the connections between different medical terms.

Additionally, the Medical Knowledge Base acts as a dataset for highlighting conditions, procedures, and medications. This feature is instrumental in identifying and elaborating on key impairments and the medical terms that appear in our impairment rundowns, enhancing the depth and utility of the insights we provide. Through these capabilities, DigitalOwl’s Medical Knowledge Base ensures that our AI can rely on a robust foundation of medical data to support critical decision-making processes in AI in insurance claims, underwriting, and legal.

What This Means for Clients

The advanced capabilities of our AI, powered by the comprehensive Medical Knowledge Base, translate into a deeper understanding of medical data and its implications in real-world applications such as life underwriting and claims review. This expertise enables the AI to provide relevant and actionable information tailored to specific needs.

For clients, this means several key benefits:

Enhanced Decision-Making : The AI's nuanced understanding of medical terms allows it to identify critical insights that might be overlooked by less specialized AI solutions. This leads to more informed decisions in underwriting and claims processing, significantly reducing the risk of costly errors or oversights.

Increased Efficiency: By enhancing the extraction and interpretation of complex medical data, the AI significantly speeds up the review process. In addition to reducing the time spent on manual reviews, the AI highlights key medical items and their relationships—such as associated conditions, procedures, and medications—allowing clients to focus on what truly matters. This ability boosts efficiency and enables clients to handle a higher volume of cases without compromising quality.

Improved Consistency and Accuracy : With the support of the Medical Knowledge Base, DigitalOwl’s AI maintains a high level of consistency and accuracy in its work. Each case is treated with the same meticulous attention to detail, ensuring that all clients receive reliable and uniform medical record summaries and chronologies.

Customized Insights : The AI's ability to understand and interpret medical terminology and relationships allows it to tailor its analyses to the specific context of each client’s needs. Whether it's assessing the severity of a medical condition for underwriting or identifying key factors in a claims review, the AI provides insights that are directly applicable and highly relevant.

Reduced Costs : By streamlining the medical record review process and enhancing decision-making accuracy, the AI helps reduce the overall operational costs associated with medical reviews in underwriting and claims management.

Datatrack's integration of DigitalOwl’s specialised AI in underwriting, claims and legal processes revolutionises our clients' core operations, driving enhanced outcomes across the board. By leveraging smarter, faster, and more reliable data processing and analysis, our technology ensures that decision-making is both accurate and efficient.

See our technology in action! Click here to explore our case studies and discover the time savings and efficiency gains our clients achieve.

Follow Datatrack on LinkedIn for more Insights on how we are revolutionising claims and legal processes in Australia.

How Claims Leaders Can Keep Up with the Rising Complexity of AI

test@looka.com — Mon, 02 Jun 2025 11:12:42 GMT

By Jim Sorrells, CPCU

AI’s Evolution in Claims: From Hype to Real Impact

AI has been present in claims for some time—think drone imaging or automated fraud detection—but the use cases are growing more advanced and more accessible. Meanwhile, plaintiff counsel is adopting AI at a rapid pace to simplify their own work, which introduces new urgency for insurers to keep up.

Solutions like Datatrack's DigitalOwl platform now makes AI-powered medical record summarisation, demand letter analysis and intelligent data extraction available to casualty and worker’s compensation teams.

Here’s what AI is currently doing in claims and where it’s headed:

Powering medical record summarization, document comparison, and demand letter analysis
Surfacing actionable insights early in the claims process to support enhanced evaluations
Identifying inconsistencies across medical and legal documents
Helping route claims to the right claims professional based on case complexity
Moving beyond simple data automation to serve as a decision-support tool for frontline professionals

The Skills Claims Professionals Need Now

Curiosity is one of the most important qualities for claims professionals moving forward.

AI will not remove the need for human judgment, but it will require users to think differently. Rather than reviewing every page of a document, claims professionals will need to interpret, evaluate, and guide decision-making based on AI-supported findings. This means getting comfortable testing unfamiliar tools and staying open to change.

Leadership plays a critical role here. Encouraging employees, especially experienced claim professionals, to explore AI for everyday tasks like letter drafting or research creates early familiarity and trust. Appointing a claims champion who understands the technology and can guide teammates through practical use cases is another powerful way to foster confidence and accelerate adoption across the team.

What Makes a Great Leader in an AI-Enabled Claims Operation?

Data will become more accessible, more complex, and more central to every decision. That’s why leaders are accelerating their evaluation of how tools and solutions are used to generate insights and outputs relevant for their organizations.

This shift includes:

Encouraging claims champions within units to lead adoption
Helping teams understand the value of AI for their work
Developing measures of Impact on claim outcomes
Letting efficiency gains speak for themselves
Supporting hands-on training for tenured claims professionals
Some resistance is inevitable. But in most cases, once claims professionals see the accuracy and consistency that AI can bring, they don’t want to go back. The key is to start with real problems and real workflows—and build momentum from there.

Learn more

Claims teams are under pressure from all sides. Plaintiff Lawyers are using AI to increase the volume and complexity of demand letters, sometimes sending multiple demands at a time with tight deadlines. With smarter tools and strong leadership, claims professionals can keep up with the rapidly transforming industry.

Engage Today, Embrace Tomorrow: What That Means for AI in Claims

Fri, 09 May 2025 11:12:42 GMT

The AI conversation has shifted. It’s no longer just about what’s possible - it’s about what’s next.

Insurers are moving beyond the idea stage and starting to ask the real, operational questions: How do we responsibly adopt AI in insurance claims?
Where does it fit in our workflows?
How do we ensure it delivers value without adding risk?

The pace of change is fast. AI is evolving rapidly, and staying on the sidelines isn't an option. To stay competitive, insurers need to engage now-experiment, pilot, integrate-so they’re ready to lead tomorrow.

By integrating the services of DigitalOwl, Datatrack are focused on driving meaningful innovation to lead the next wave of change in the claims industry-not innovation for its own sake, but to create real, tangible solutions that transform how claims professionals interact with medical data. In this blog, we'll share a preview of some of the exciting advancements we’re working on and how they’re designed to meet the evolving needs of today’s insurance professionals.

Enhanced Insights, Designed for Claims

Every claim is unique and demands a thoughtful, context-driven approach. Medical record summaries—while helpful—often fall short, leaving claims professionals to draw conclusions and connect the dots on their own. That’s why Datatrack offers DigitalOwl's enhanced Case Notes specifically for the needs of Australian claims professionals.

Powered by the industry’s first AI Agents built for insurance-related medical record analysis, Case Notes goes beyond summarisation. It acts as a digital detective—connecting scattered data points, applying business logic, and surfacing key insights, such as whether a condition is progressing or improving.

Initially built for life insurance, Case Notes has been enhanced to meet the specific needs of claims professionals—delivering context-rich insights into the claimant’s condition, recovery timelines, and medical history. It also features a detailed billing section with coverage breakdowns, provider visits, and evidence-supported assessments of pain and suffering.

Streamlined Demand Package Analysis

Reviewing demand letters is a critical but time-consuming part of the claims process. While other solutions offer surface-level reviews, Case Notes goes further—analysing the demand letter in context with the medical data to uncover inconsistencies, such as mismatches between reported pain and treatment adherence.

This not only delivers a deeper, more accurate analysis but also saves valuable time on demand package review, helping claims professionals keep pace with plaintiff lawyers who are already leveraging AI to gain an edge.

Deep Research Capabilities

Recognizing that every claim requires a nuanced and investigative approach, DigitalOwl has introduced its new In-Depth Analysis ‘Chat’ feature.

This advanced conversational AI tool enhances how claims professionals explore medical records—going beyond basic queries to deliver thorough, logic-based responses that include all pertinent information in the user’s preferred format.

In-Depth Analysis ‘Chat’ strengthens claim evaluations by:

Supporting complex questions – Handles detailed, layered inquiries in a single interaction, increasing efficiency and depth of insight.
Revealing cause-and-effect relationships – Provides a multi-faceted view of records to uncover key connections often missed in manual reviews.
Improving accuracy through comparison – Enables side-by-side evaluation of detailed record data for more precise assessments.
Standardizing insights – Delivers consistent, high-quality responses across teams, elevating organizational decision-making and collaboration.

Beyond individual case analysis, this tool helps foster richer collaboration across teams—including peers, legal experts, and medical professionals—driving stronger, more strategic claims outcomes.

Jim Sorrells, CPCU

Sales Director, Claims, DigitalOwl

About the author

Jim Sorrells has over 30 years of experience in the P&C insurance industry, with 26 of those spent in leading claim organisations at a major carrier.
He serves as Sales Director of Claims Services where he is transforming the medical data review process in Bodily Injury, Uninsured Motorist and Workers’ Compensation Claims.

Datatrack stepping into the Future of AI in Insurance and Legal

test@looka.com — Tue, 06 May 2025 11:12:42 GMT

Datatrack offers DigitalOwl’s In-Depth Analysis - a transformative leap into the future of how AI can serve specialised industries.

At Datatrack, we are always looking for ways to push the boundaries of what DigitalOwl AI can do for the insurance and legal industries.

With the launch of our new In-Depth Analysis Chat feature , we've significantly enhanced our conversational AI , moving far beyond the capabilities of traditional chat functionalities. This blog post explores how our latest innovation compares to our previous chat product and what these advancements mean for professionals in the Life and Legal sectors.

From Traditional Chat to In-Depth Analysis

We started with Chat, a helpful tool for basic medical record queries. Now, with the addition of In-Depth Analysis, our AI can handle more complex, multi-layered questions with greater accuracy and depth.

Evolving Chat for Deeper Insight

Our original Chat was designed to handle straightforward questions, providing quick answers and basic summaries. While useful for simple queries, it often required users to ask multiple follow-ups to get a complete picture, especially when dealing with complex or nuanced medical cases.

With our new In-Depth Analysis capabilities, Chat takes a major leap forward. It now breaks down complex inquiries, applies logic, and delivers detailed, context-rich responses in a single pass. This next-level Chat goes beyond summarisation by connecting the dots across an entire medical record, saving time and surfacing insights that truly matter for insurance and legal professionals.

Key Enhancements of In-Depth Analysis

I n-Depth Analysis builds on the foundation of ‘Chat’ by introducing advanced capabilities that better support the complex needs of insurance and legal professionals.

Here are four of the most impactful enhancements:

Complex Question Handling:
In-Depth Analysis excels in environments where questions involve multiple facets of a client's medical history or a claimant's background. It can navigate through extensive data to not find crucial information and connect disparate data points that reveal deeper insights.

Holistic Data Integration:
Unlike the traditional AI chatbots that respond with direct answers, In-Depth Analysis integrates medical records, billing details, and other relevant data to form a cohesive narrative. This allows it to provide responses that are both accurate and comprehensive, considering all aspects of an individual’s medical history and related documentation.

Complete Response Generation:
A significant advancement of In-Depth Analysis is its ability to understand related and relevant issues based on a single query. For example, if a query relates to diabetes, the AI might also bring up related complications like potential vision loss if relevant, which adds incredible value to the decision-making process. This deeper level of analysis can also help build a comprehensive understanding of an injury's impact using pain scores, related treatments, and financial consequences, which are all critical for constructing a legal claim.

Enhanced User Experience:
With its ability to perform deep dives into data, In-Depth Analysis reduces the need for follow-up questions, streamlining user interactions. Users can now get detailed, nuanced responses in a single query, enhancing efficiency dramatically.

The Impact of In-Depth Analysis on the Insurance and Legal Industries

In-Depth Analysis brings meaningful improvements to industries that rely heavily on medical record reviews. Its advanced capabilities help attorneys, underwriters, and claims professionals extract relevant insights faster and with greater precision.

Here’s how it adds value across key sectors:

For Claims Professionals:
Claims professionals can utilise In-Depth Analysis to uncover cause-and-effect relationships and detailed comparisons of medical records, enhancing the accuracy and quality of their claims evaluations.

For Legal Professionals:
Lawyers and paralegals can leverage this tool to extract critical insights necessary for building compelling personal injury cases. The AI's ability to dive deep into medical histories and treatment details allows for more persuasive arguments and stronger case strategies.

For Life Insurance Underwriters:
In-Depth Analysis can provide a more detailed assessment of risk by piecing together comprehensive health narratives, crucial for accurate policy decision-making.

Stepping into the Future of AI in Insurance and Legal

By offering DigitalOwl’s In-Depth Analysis into the Australian market, Datatrack delivers a transformative leap into the future of how AI can serve
specialised industries. By transitioning from simple query responses to comprehensive, contextual analyses, we are setting new standards for conversational AI in the insurance and legal sectors.

Our commitment to innovation ensures that our clients always have access to cutting-edge tools that empower them to meet their professional challenges head-on. As we continue to refine and expand our AI capabilities, we look forward to seeing how our clients leverage these advancements to achieve unprecedented levels of efficiency and insight.

Contact us for a free demo for you or your organisation today.

Datatrack are the exclusive partners of DigitalOwl in Australia. We provide the worlds most innovative machine-learning platform for interpreting medical records and assisting underwriters, claim adjusters, and legal professionals in their work, creating an all-in-one location for medical data review.
Our platform uses proprietary AI to address problems that have adversely impacted the medical review process for decades, enhancing the efficiency, accuracy and quality of results for better outcomes.

The Benefits of Leveraging Specialised AI for Personal Injury Law

Wed, 05 Feb 2025 08:01:53 GMT

In this blog, we offer guidance on what legal professionals should consider
when evaluating different AI tools for their practice.

Options for Faster Medical Record Reviews

When it comes to improving the efficiency of medical record reviews, law firms generally consider three options:

Outsourcing: This approach can save time and resources by leveraging external reviewers. However, it may come with added costs, especially if the records require more complex analysis or frequent follow-ups.

Hiring an Internal Review Team: Bringing the work in-house gives firms more control and access to legal and clinical expertise. But it can also increase internal workload and pull valuable staff away from more strategic priorities.

Using Free or Open-Source AI: Tools like ChatGPT, Gemini, and other generative AI options can produce quick medical record summaries at no cost. However, as we discussed during the webinar, there are clear trade-offs, particularly around reliability, accuracy, and data security. These tools are not inherently HIPAA-compliant, or built specifically for legal use, which raises concerns when uploading sensitive medical records containing PII where compliance is crucial.

The Benefits of Leveraging Specialised AI for Personal Injury Law

AI can be a powerful asset if it’s purpose-built for legal teams. With the volume and complexity of medical records continuing to grow, the pressure to review them quickly and thoroughly is only increasing. This is especially true for personal injury practices, where tight timelines and medical nuance are critical to case outcomes.

Specialised AI offers a smarter, more reliable way to tackle this challenge. Key benefits include:

Greater Efficiency: Purpose-built platforms can generate organized medical record summaries and timelines rapidly, freeing up attorneys and staff to focus on case strategy.

Improved Consistency and Accuracy: Legal AI tools reduce variability across cases and reviewers, minimising the risk of missed details and human error.

Enhanced Productivity: By automating the most time-consuming parts of the process, legal teams are able to work faster and more effectively, without compromising quality.

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Choosing the right AI tool isn’t just about speed. It’s also about trust, quality, and long-term value. Law firms that embrace the right technology are better positioned to handle growing caseloads, reduce operational bottlenecks, and deliver better results for their clients.

Choosing Datatrack with our exclusive DigitalOwl service is the ultimate choice for legal practices in Australia. It helps Lawyers and paralegals streamline time-consuming medical record reviews, organise complex files, generating summaries and chronologies in less time, without compromising accuracy or compliance. The platform is fully HIPAA, SOC2 Type II and GDPR compliant, so you can work confidently with sensitive information and ensure your clients confidentiality is not breached.

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Datatrack's DigitalOwl Recognised as Natural Language Generation Platform of the Year for Medical Record Reviews

We’re proud to announce that DigitalOwl has won an AI Breakthrough Award for the second year in a row!

Our Competitive Edge: The Specialised Medical Knowledge Base

We’ll explore the specifics of our Medical Knowledge Base—detailing what it is, its functions and the substantial benefits it delivers to Datatrack customers.

What is DigitalOwl’s Medical Knowledge Base?

How It Works

What This Means for Clients

How Claims Leaders Can Keep Up with the Rising Complexity of AI

AI’s Evolution in Claims: From Hype to Real Impact

Engage Today, Embrace Tomorrow: What That Means for AI in Claims

Enhanced Insights, Designed for Claims

Streamlined Demand Package Analysis

Deep Research Capabilities

Datatrack stepping into the Future of AI in Insurance and Legal

From Traditional Chat to In-Depth Analysis

Key Enhancements of In-Depth Analysis

The Impact of In-Depth Analysis on the Insurance and Legal Industries

Stepping into the Future of AI in Insurance and Legal

The Benefits of Leveraging Specialised AI for Personal Injury Law

The Benefits of Leveraging Specialised AI for Personal Injury Law

We’re proud to announce that DigitalOwl has won an
AI Breakthrough Award for the second year in a row!

We’ll explore the specifics of our Medical Knowledge Base—detailing what it is,
its functions and the substantial benefits it delivers to Datatrack customers.