Datatrack acknowledges the Traditional Custodians of the local lands and waterways
on which we live and work. We pay our respects to Elders past and present.
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.
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.
In-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:
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.
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.