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How the Cost and Time of Manual Data Collection Sparked the Creation of DataBiologics

Manual outcomes tracking drained staff time and money, leaving providers frustrated with endless calls, spreadsheets, and incomplete data. DataBiologics was created to automate the process—giving physicians real-time, benchmarked insights that improve care and empower patients with meaningful, real-world results.

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Blogs
Customer Story

How the Cost and Time of Manual Data Collection Sparked the Creation of DataBiologics

Manual outcomes tracking drained staff time and money, leaving providers frustrated with endless calls, spreadsheets, and incomplete data. DataBiologics was created to automate the process—giving physicians real-time, benchmarked insights that improve care and empower patients with meaningful, real-world results.

Challenge: Tracking outcomes was essential, but manual data collection cost time, staff resources, and money.

Solution: Build a platform that automates outcomes collection, eliminates hidden costs, and gives providers access to robust, real-world data.

From Frustration to Innovation

Before founding DataBiologics, Dr. Chris Rogers (San Diego Orthobiologics Medical Group), along with colleagues Dr. Jay Bowen and the late Dr. Gerald Malanga, were no strangers to tracking their patients’ outcomes. Each of them had been collecting their own patient data for decades.

But the process was labor intensive and inefficient.

Surveys were printed, then given to patients in the clinic. Staff members were trained to administer them, then tasked with calling the patients weeks or months later for follow-up outcome reporting. Typically, each patient would require several phone calls before data could be obtained.Once the responses were returned, they had to be manually entered into Excel spreadsheets. This was an extremely time consuming process.

And then came the most difficult part: making sense of the data.

“My medical assistants would typically spend about 10 hours a week calling patients and collecting data. At $24/hour, that’s about $960 a month… and we’d do this about five to ten times a year,” recalls Dr. Rogers. “Then I’d spend valuable weekend time analyzing and summarizing the data for reporting.”

The costs weren’t just financial—they were human. Staff members lost hours that could have been spent on patient care, and Dr. Rogers spent weekends trying to organize numbers into something useful.

The “Lightbulb” Moment

One day, Dr. Rogers looked around and realized something: everyone, patients included, was carrying a data collection tool in their pocket.

“Wouldn’t it be nicer if we automated the process a little bit?” he thought.

At the same time, he was growing frustrated by the gap between published research and real-world practice. Reading studies on platelet-rich plasma (PRP), he knew that for every patient in a clinical trial, there were hundreds receiving the same treatment across the U.S.—with no accountability, no tracking, and no idea if it was truly helping.

“So when a patient would ask, ‘Will this work?’ I’d have to say, ‘Well, this scientific paper from Harvard says this…’ But that’s different from real-world data.”

Building the Solution

That’s when Dr. Rogers, Dr. Bowen, and Dr. Malanga came together to create something better: a platform that would make outcomes tracking easy, automated, and meaningful.

The result was DataBiologics, a platform that:

  • Automates survey distribution via text or email
  • Collects data at clinically relevant time points, up to 5 years after treatment
  • Analyzes and visualizes clinical outcomes in real-time
  • Benchmarks outcomes against tens of thousands of real-world patients

Today, instead of spending thousands of dollars a year on manual collection and hundreds of hours crunching numbers, providers can simply log in, see their data in real time, and use it to educate their patients and improve patient care.

DataBiologics has revolutionized the ease and accessibility of real-world data by allowing physicians and their patients to make informed medical decisions.

Stop Guessing. Start Tracking.

Measure what matters — to your patients, peers, and programs.
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