Case Study: Medical Device IoT Strategy

Are Patients Getting Healthier By Using the Product Correctly?

Where Medical Treatment Goes Blind

Portable Oxygen Concentrators (POCs) provide oxygen boosts to people who suffer from COPD or other ailments that diminish their lung function. The devices themselves typically track how much oxygen is being delivered to the patient, and when. However, doctors, payers, distributors and manufacturers don't have real time knowledge about if and when the devices are being used, and how efficient they are in delivering the correct amount of oxygen to the patient.

Manufacturers and distributors want this information to justify the value and expense of the devices to payers. Doctors want to know if their patients are using the device, if it's delivering the correct amount of oxygen, and ultimately, if doing these things is helping their patients get healthier.

The IoT Strategy Formation

Perscio understood the value in making the usage and flow data of the POCs available in real time to manufacturers, payers, and providers. Our solution was to develop a proof of concept demonstrating a hardware integration that would communicate directly with the POC, then aggregate the information and send it to the cloud (plus a data repository on the back end and a front end for users, including the distributors, doctors, and patients).

Additionally, by connecting a Pulse Oximeter (a device that non-invasively measures a patient’s oxygen saturation) to a low energy blue tooth device, doctors would be able to access these readings and readily detect the efficacy of the POC in stabilizing a patient’s SpO2 levels. The doctor could then make real-time decisions about any necessary adjustments to make to the POC oxygen flow.

The Solution

We built a prototype that addressed the functionality our client was looking for – provide manufacturers, distributors, payers and doctors with real-time confirmation that patients are using their POCs and that they are working optimally to maintain healthy oxygenation saturation levels. The appliance we built incorporated a Raspberry Pi, a Bluetooth dongle, a Wifi dongle, and a serial cable. The device can be used to aggregate data on thousands of patients and provide user data to doctors that helps them monitor their patients’ health virtually.