Accelerating Innovation: How Our Data Science Team Delivered Months of Work in Just Two Weeks

While global geopolitical events may dominate today’s headlines, we’d like to shift your attention to a remarkable achievement from our data science team this week.

At first glance, the premise of our latest project—batch processing of patient PDF documents for a healthcare provider—might sound routine, perhaps even uninspiring. Yet what sets this project apart are the unique key performance indicators (KPIs) that emerged:

• AI-powered development slashed our timeline by an estimated 80-90%.

• Despite leveraging robust open source libraries, our developers quickly encountered their limitations. It took creative problem-solving, research, and custom engineering to build the solution our client needed.

• The client had anticipated a timeline stretching over several months, due to expected manual data entry and HIPPA compliance. We delivered all requirements in just two weeks.

It’s important to distinguish our approach from typical AI-driven PDF summarization, which can be prone to errors and so-called “hallucinations” and uncertainty inherent to current language models. Our solution is fundamentally different: we developed custom software tailored to the precise needs and accuracy requirements of medical data processing. AI played a crucial role as a development accelerator—assisting in code generation—but every component was rigorously tested to ensure unwavering reliability and compliance with medical standards. In our workflow, nothing is left to chance or the unpredictability of generic AI; instead, we deliver robust, verifiable, and trustworthy results for critical healthcare information. Project Highlights:

• Efficient batch processing for a large volume of healthcare patient PDFs.

• Handling multiple documents per patient and consolidating extracted data.

• Generating an editable, summary PDF for each patient.

• We maintained unwavering commitment to HIPAA compliance, embedding rigorous privacy, security, and regulatory safeguards at every stage of the workflow.

On paper, the scope may appear simple—but delivering this level of efficiency and reliability in just two weeks (instead of several months) made a significant impact. The result: a delighted client and a proud, energized data science team.

If your organization needs reliable, large-scale PDF processing, reach out to us. We welcome projects of any scale—from a small office needing help with a handful of PDFs to a large corporation requiring bulk processing. No project is too small; feel free to inquire.

To help you get the job done right, we combine:

• precision

• expertise

• speed

• reasonable rates