Hours of analysis, gone in minutes.

From hours of manual spreadsheet work to comprehensive patient analysis in minutes

• 01Hours → Minutes | Analysis time per dataset
• 02~100% Patient coverage accuracy
• 03HIPAA Compliant | Handling sensitive patient data

About MediCircle

MediCircle is an early-stage healthcare technology company that reclaims and redistributes unused prescription medications to patients in need. Their work depends on analyzing large patient and medication datasets to find the right matches: an inherently data-intensive process that demands both speed and precision, all within strict HIPAA compliance requirements.

Before Structify

MediCircle’s team relied on manual Excel analysis to comb through patient and medication datasets. Team members would spend hours cross-referencing records, flagging eligible patients, and building reports by hand. The work was slow and tedious.

Before leveraging Structify, MediCircle team members had to write numerous Excel formulas, which were unable to account for different edge cases. These formulas could only identify 80–90% of eligible members, leading to extensive manual review and significant time investment.

Although the manual approach was serviceable, it wasn’t efficient, effective, or comprehensive enough to support MediCircle as they scaled. MediCircle evaluated Row Zero, a large spreadsheet tool, but found it required too much manual tailoring and lacked the usability the team needed. Beyond that, the search for alternatives was short. Once they found Structify, it worked so well that they knew they had found their answer.

With Structify

Structify replaced MediCircle’s manual analysis workflow entirely. Datasets that once took hours to process now run in minutes, sometimes seconds. The platform handles large patient and medication files within a HIPAA-compliant environment, letting the team focus on outcomes rather than spreadsheet mechanics.

The biggest shift was in coverage. Where manual analysis capped out around 80–90% accuracy, Structify has been able to identify all of the edge cases that MediCircle team members previously missed using Excel formulas. Now, every qualifying patient gets flagged.

The learning curve for implementing and using Structify effectively was manageable. MediCircle’s team got up and running quickly compared to other tools they’d tried, and responsive support from the Structify team helped smooth the onboarding process.

At MediCircle, our analyses used to take hours, and a significant amount of manual effort. Now, we can perform the same analyses in a fraction of the time, with significantly less effort, and the results are incredibly accurate. Structify has enabled us to shift our focus to helping more patients, and has allowed us to grow our business in the process.

Impact

With faster, more accurate analysis, MediCircle can serve more patients and achieve greater impact per dataset. Insights that would have been difficult or impossible to gather manually are now routine. The team is scaling their business more effectively because the data work no longer gates their growth.

MediCircle is already planning to expand Structify’s role, bringing in additional datasets and building custom reports to deepen their analytical capabilities. What started as a replacement for manual Excel work is becoming core infrastructure for how the company operates.

What’s Next

1. Expanding to additional patient and medication datasets
2. Building custom reports for deeper analytical capabilities
3. Leveraging Structify as core operational infrastructure for continued growth