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How a Medtech Device Maker Is Connecting Its Devices and Data for AI

The client's devices record signals around the clock, in labs around the world. Parkar is modernizing its software and data, so every device feeds one platform.

  • Medtech
  • Connected devices
  • App modernization
  • Data modernization
A patient's wrist wearing a smartwatch beside a blood pressure monitor and a tablet

The business

Our client is a Northeast-based, publicly listed maker of medtech devices, instruments and software for pharma, biotech and research teams worldwide. Its mission is to help scientists run better studies, with data they can trust.

The challenge

Device data held in many places

Data held in each device

Each product line stored its readings in its own way and its own software.

Older applications

Desktop software built over many years was hard to extend and connect.

Testing at scale

Every device and software release must be tested before customers use it.

Regulated studies

Study data must stay complete and traceable for regulators.

The solution

What we are delivering

  1. Application modernizationOngoing
  2. Device data platformIn progress
  3. Analytics and AINext
Modern applications
Older device software moved to a modern, cloud-ready platform, one product at a time.
Device data in one place
Sensor readings stream from each device into one data platform.
Equipment testing
Automated tests on the equipment and on every software release.
Analytics on device data
The client's signal-analysis methods run on the data at scale, with views for researchers.
Controls built in
Study data stays complete and traceable, with every change logged.

Progress

Where the program stands

Live

First devices connected

Device readings now stream into the new data platform.

Ongoing

Application modernization

Device software moving to a modern platform, product by product.

In build

Analytics on device data

Signal analysis and researcher views on the connected data.

Next

AI in the client's workflows

AI added to everyday work, built on the same data.

What’s next

AI in the client's workflows

The client is now looking at where AI fits in its daily work. Each AI step will use the same data, and a person will approve it.

Signal review

Flag unusual heart, brain or activity readings for a researcher to check.

Study reports

Draft study summaries from the connected data, for scientists to review.

Device support

Answer device and software questions from manuals and past tickets.

Release testing

Check each software release against its test results before sign-off.

Keep reading

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Get started

Start with where your data stands.

A two- to three-week Data Readiness Assessment scores your data and ends with a ranked plan.

Application Portfolio AssessmentMonth 1

Every application scored on value, cost to maintain and readiness for AI.

In the first phase
  • One business area on a modern data platform
  • One trusted data set in daily use
  • Governance in place on your first data set

From there we build in stages, starting where the payback is fastest.