How Blood Cells Grew Test Volume by 230% in 1 Year with Docus AI

A leading D2C multi-specialty diagnostic lab network improved workflows, tripled test volume, and achieved near-perfect patient satisfaction in less than a year after adopting Docus.

About Blood Cells

Blood Cells is a multi-specialty diagnostic lab network based in Armenia. It was founded in 2012 with a clear goal: make high-quality diagnostics more accessible and easier to use for patients.

From the start, the team focused on doing things differently.

They invested in:

• modern laboratory equipment
• experienced specialists across multiple fields
• a direct-to-consumer (D2C) model that allowed patients to access services without unnecessary barriers

They were also among the first labs in the region to introduce 24/7 service. This gave patients flexibility and built early trust.

These decisions paid off.

Blood Cells quickly established itself as a reliable and forward-thinking diagnostic provider. Patient numbers grew. Partnerships with hospitals expanded. New branches opened.

But as the number of patients increased, so did expectations. And that is where the real challenges began.

What Challenges Did Blood Cells Face?

Patient Experience and Satisfaction

Imagine a patient goes to a lab, gets their tests done, and waits for the results. A day later, they receive an email. They open it and see a PDF filled with numbers, reference ranges, and unfamiliar medical terms. Some values are marked as abnormal, but there is no clear explanation of what that actually means.

They scroll through it once, maybe twice, trying to make sense of it. Then they close the file.

Later, they might Google a few terms. The results are overwhelming. Different websites say different things. Some make the situation sound serious, others say it is nothing to worry about. At some point, the patient gives up.

After some time, they need those results again. Maybe for another doctor visit or to compare changes. They start searching through their email, scrolling through dozens of messages, trying to find that one file.

Sometimes they find it. Sometimes they don’t.

As one patient shared:

“I used to receive my results as a PDF, look at it once, and then forget about it. I didn’t really understand it, so I didn’t know what to do next. When I needed my results again, I couldn’t find them in my emails. They just got lost among everything else.”

This was the gap Blood Cells started to notice more and more. Patients were getting their results, but they were not getting clarity. There was no guidance, no clear next step, and no easy way to stay on top of their health. And this was not unique to Blood Cells; it is a common problem across many labs.

Standing Out in a Competitive Market

At the same time, the diagnostic market was becoming more crowded. Many labs offered similar services, similar turnaround times, and similar pricing. From a patient’s perspective, the difference between labs was not always clear.

Blood Cells realized that accuracy alone was no longer enough. Patients expected more than just results. They wanted to understand them, trust them, and act on them. And if that experience was missing, there was no real reason for them to come back.

How Docus Helped Transform the Patient Experience

In 2025, Blood Cells partnered with Docus to rethink how patients interact with their lab results. Instead of adding just another tool, they introduced an AI layer across the patient journey.

Personalized Patient Accounts

Now imagine the same patient going through the same process.

They take a test. But this time, instead of receiving a PDF, they get a link. They open it and land in their personal account.

Everything looks different.

Their results are no longer just numbers. Each value comes with a clear, simple explanation of what it means and what to pay attention to.

Over time, they can also see how their biomarkers change. Not as static reports, but as interactive graphs and trends that make it easy to understand progress.

No more searching through emails. Everything is stored in one place, organized and always accessible. For the first time, the patient is not just receiving results. They are actually understanding their health.

The response was immediate. In under a year, monthly patient reports had grown more than 3x. Engagement shifted from passive viewing to active interaction

One Account, Multiple Patients

As more patients started using the platform, another pattern became clear.

Through a patient survey, the team discovered that in many cases, one person manages health information for others. A parent tracking their child’s tests. Someone caring for an older relative. A family member helping coordinate care.

To support this, the system allowed one user to manage multiple patient profiles in a single account.

This made it easier to:

• keep all records in one place
• track results over time for different people
• avoid losing important information across emails and files

It was a small change, but it solved a very real, everyday problem.

From Google Searches to an AI Medical Assistant

Before this change, most patients followed the same привычный path. They received results, then turned to Google.

In fact, around 425 million of Google’s daily searches are health-related, and 77% of people with a new diagnosis search online for answers. But the experience is far from ideal. Information is scattered, often unreliable, and not tailored to the individual.

Patients either worried too much or ignored something important.

Now, instead of searching blindly, patients can ask questions directly inside their account.

The AI medical assistant understands their results, stores previous test results, keeps their history in mind, and provides answers in context.

Connecting Patients and Doctors

But Docus went even beyond.

It also connected one more important part of the patient journey — doctors.

About 6 months into the partnership, Blood Cells integrated another feature: clinical reports for doctors.

Now, patients could share their lab results directly with their doctors. Instead of reviewing raw data, doctors received actionable clinical interpretations that helped them make faster and more confident decisions.

They could also use the AI medical assistant to support decision-making in more complex cases. Adoption was swift, with report volume tripling within the first month alone.

This not only improved the experience for doctors but also strengthened Blood Cells’ relationships with them and made the lab more valuable within the overall care process.

The Challenge of Patient Retention

As the patient experience improved, another challenge became more visible — retention. Many patients, especially those with chronic conditions, needed to repeat tests regularly, but often forgot. There were no reminders and no clear system to follow, so important follow-ups were missed.

This is not an isolated problem. Between 6.8% and 62% of lab results are never followed up, and delays in acting on abnormal results are common, often leading to missed or late diagnoses. In most cases, the reasons are simple: no tracking system, no clear responsibility, and no structured follow-up process.

How Docus Helped Improve Retention

To address this, Blood Cells introduced follow-up recommendations as part of the Docus platform. The system reviews results, detects abnormalities, matches them with relevant biomarkers, and suggests next steps.

Patients receive timely notifications reminding them when to act, while doctors can review and adjust recommendations. This helps patients stay on track and continue their care when it matters.

And the numbers reflected it. By March 2026, monthly screenings had grown by about 75% compared to where Blood Cells started.

What Blood Cells Achieved with Docus AI Within a Year

One year. One decision. Results across every metric that mattered.

Within less than a year of integrating Docus, Blood Cells saw measurable improvements across key metrics.

• Test volume grew by 230%
• Follow-up rate increased from 5% to 27%
• Patient satisfaction reached 99.4%

Patients started to better understand their results. This made them more confident and more likely to take action. As a result, more of them returned for follow-up testing. At the same time, workflows became more structured and easier to manage. This allowed the lab to serve more patients without adding complexity.

More patients were not only coming in, but also returning when follow-up testing was needed. They better understood their results and were more engaged in their care.

"We wanted to be a different kind of lab — one where patients actually understand their health. In under a year, that’s exactly what we became." — Arman Ohannisyan, Co-founder, Blood Cells

Looking Ahead

Blood Cells continues to expand its network with Docus now integrated as a core part of its workflow.

As patient volumes grow, the team is exploring deeper use of AI across different types of diagnostics and care processes.

The goal remains the same: to differentiate the lab and keep patients engaged.

Every lab has a different starting point. If you're facing similar challenges or looking to optimize your workflow, you can contact us to explore what’s possible.