Wise Product Picks with Elissa: Handwritten Detection

Wisedocs would like to welcome you back to Wise Product Picks with Elissa Gallegos! In this monthly series, we highlight Wisedocs’ innovative features and offerings through Elissa's clinical perspective. She is one of our seasoned Nurse Consultants and Medical Solutions Engineers who brings a wealth of experience as a Registered Nurse with a strong background in Critical Care, including the Neuroscience, Medical, and Cardiovascular ICU. Elissa has worked in pain management and Prior Authorization & Utilization Management with the Centers for Medicare and Medicaid Services. Since joining Wisedocs, Elissa has played a key role in enhancing our medical record summaries and products with her deep clinical knowledge. We're happy to have her share her expertise about Wisedocs' features with you!

In this month’s Wise Product Picks Elissa delves into Wisedocs’ Handwritten Detection, addressing the time-consuming challenge of deciphering unclear handwriting by converting notes into clear, reliable information for claims teams.

How Handwritten Notes Create Bottlenecks in Claims

Lengthy claims files often include handwritten medical records and claims documents like progress reports, provider details, visit dates, and treatment updates. These handwritten notes can hold critical medical information, but poor handwriting, faded scans, and inconsistent formats make them hard to read for claims professionals adjudicating the claim. In 2024, Medicaid showed that 79% of improper payments were tied to insufficient documentation, while Medicare Fee-for-Service improper payments ran at 7.66%, with missing or incomplete records as a leading cause.

For claims and legal professionals, trying to interpret these undecipherable entries quickly drains energy as reviewers face constant pressure to get every detail right in a timely manner. A single misread provider name, patient detail, or date of service can delay a claim or cause confusion, pulling attention away from the bigger picture of a case. These inconsistencies can result in lengthy delays and delayed claims resolutions, leaving claimants in limbo as they await claim status updates.

The Strain on Claims Professionals

I know firsthand that illegible handwriting can stall an entire claim. Deadlines get pushed, details go missing, and claims teams are left making decisions without the full picture. What should be a quick check often becomes a bottleneck. Moving claim status inquiries from manual to fully electronic saves medical providers an average of 17 minutes per transaction, showing just how much time is lost when processes stay manual.

As a registered nurse, I’ve spent hours trying to verify a single entry while stacks of other files waited, sometimes cross-checking typed reports or medication lists just to make sense of one line of handwriting. That effort could be spent preparing documents or supporting claimants, yet messy handwriting makes it impossible, and over time the ongoing strain wears on both accuracy and the people doing the job.

Introducing Wisedocs Handwritten Detection

Handwritten Detection takes one of the hardest parts of claims review off your plate. Using Intelligent Character Recognition (ICR), it extracts handwritten text and turns it into structured, searchable data. That means less effort spent deciphering pages and more focus on the claim itself. Approximately 84% of insurers now use or are rolling out AI across insurance workflows, showing how central these tools have become.

If the AI cannot read handwriting with full confidence, it is flagged for expert-in-the-loop clinical experts on our team to further examine. This blend of technology and human oversight ensures every file is precise, defensible, and ready to use in the claims process.

Real Impact for Claims Stakeholders

Handwritten Detection makes a real difference in everyday work. Medical providers get accurate case overviews for IMEs without guessing at handwriting. Claims adjusters lighten their workload with a complete AI medical summary, and legal teams can depend on structured data to build stronger proceedings. Insurers using OCR have seen error reduction of more than 90%, cost savings up to 70%, and a significant drop in processing times per document.

I have seen how this eases pressure and reduces delays. Instead of wrestling with inconsistent handwriting, teams can rely on clear information that keeps everything moving. The technology also goes beyond health records, recognizing handwriting in claims and legal documents and indexing them in a structured AI medical chronology so clients can stay organized and operate with certainty.

The Future of Claims with Handwritten Detection

After years of handling claims and medical record reviews, I know how exhausting hard-to-read handwriting can be. Handwritten Detection changes that by turning messy entries into clear, structured data. Using ICR with expert human oversight, Wisedocs extracts handwritten content, makes it searchable, and ensures it stays trustworthy and defensible.

The feature quickly deciphers illegible writing, understands the context of insurance documents, and correctly classifies diagnoses, treatments, and legal details. When the speed of AI and human validation work in tandem, teams spend fewer hours wrestling with documentation and more hours moving claims forward with confidence.