Connected Medical Device App Development

We build mobile and backend apps for medical devices where the user has to trust what they see on screen.

When the device is at home with a patient, or in a clinic where staff have ten other things to do, the app does most of the work of making the data feel reliable. We build that layer: the connection logic, the data handling, and the user-facing parts that decide whether someone trusts a reading or ignores it.

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What stage you're at

Building from scratch

For teams developing the device alongside the app, or about to start the software side once the hardware is ready. We work on the mobile app, the backend, and the device communication layer.

Adding software to a hardware product

For device manufacturers whose product has worked as standalone hardware and now needs a companion app, a connected dashboard, or a clinical reporting layer. We handle the software stack while your hardware team stays focused on the device.

Fixing a live product

For products already shipped where pairing fails, sync drops, or the user experience confuses people who depend on the data. We come in to diagnose what's broken and get the fixes deployed.

Scaling an existing product

For products that work today but need to handle more devices, more users, more regulatory regions, or new integrations. We extend the app and backend to handle the next stage of growth.

Common problems we solve

Onboarding and first pairing

First-time setup is where most users drop off. If pairing fails twice in a row, the average user does not try a third time.

Day-to-day device use

Connection and sync issues that pass QA still appear in production every day. iOS killing background tasks alone accounts for a large share of reported "data missing" tickets.

Measurement capture and sync

Readings can be captured but fail to reach the backend cleanly. The most common failure is a duplicate created when the user retakes a measurement they thought did not save.

Patient understanding and action

A reading on screen is not the same as a patient knowing what to do with it. Patients are not clinicians, but most apps still present data as if they were.

Care team visibility

Patient data reaches the backend but does not reach the people who need it. Care teams without good filtering and alerting fall back on exporting to Excel within weeks.

Edge cases and recovery

Most products handle the happy path well and fail the moments around it. A generic "something went wrong" message is enough to make a patient stop trusting the entire device.

What's in the product

Onboarding and first pairing

Setup is the first place a connected product proves itself. We build pairing flows that recover from common failures, with copy and visuals aimed at a patient at home, not an engineer at a workbench.

Device communication and recovery

The Bluetooth and protocol layer that keeps the device and app in sync, with the recovery logic underneath it. Reconnection on app foreground, retries that respect device battery, queue-and-replay for dropped writes.

Measurement sync and status

Every reading has a state - captured, uploaded, confirmed, failed. We make that state visible to the user and the backend, so a patient never has to guess whether their measurement counted.

Offline mode

The app keeps working even without the internet connection. We will gather the readings and sync them as soon as internet connection is back, with conflict handling for the cases where the same reading is uploaded from two sources.

Patient-facing mobile app

The app the patient actually opens. Built around what someone with no medical training needs to see, on a phone they may be using one-handed in poor light.

Care team dashboards

The web side for clinicians, monitoring teams, and admins. Filtered patient lists, alert routing that respects clinical workload, and the ability to drill into one patient's history without losing the queue.

Backend and integrations

The data layer that connects device events, patient records, and the rest of the product. EHR/EMR, telehealth, billing, and analytics - scoped per project, because no two healthcare stacks look the same.

Notifications and guidance

Push, SMS, and in-app messages built around the patient's actual usage pattern. Reminders for missed readings, prompts for abnormal results, and quiet periods when the data is normal.

When custom is the right call (and when it isn't)

Custom development is not the right answer for every connected health product. If the device is a standard consumer wearable with a published SDK, and the data only needs to land in a chart, an off-the-shelf health app builder can carry the project. We will tell you that on the first call.

Custom usually starts to make sense when the device, the data, or the regulatory context puts you outside what generic tools cover well.

Off-the-shelf is usually enough when:

The device is a standard consumer wearable with a vendor SDK
Data flow is one-way: read sensor, store reading, show in a chart
No clinical workflow on the provider side
No regulatory data handling beyond what platform tools cover
Single device type, small user base

Custom starts to make sense when:

The device is a regulated medical product (FDA Class II/III, CE MDR)
The BLE protocol is custom, not standard GATT
Data integrity, audit, or version history must be defensible
Patient app and clinical interface need to share the same data layer
Multiple device types, multi-device sync, or conflict resolution

Connected medical device products we build for

Wearable with companion app

For wrist-worn or body-worn devices that track activity, sleep, vitals, or recovery, with a mobile app that presents the data to the user. Bluetooth pairing, continuous sync, and battery-aware background behavior are the core of the work.

Wearables Continuous data

Diagnostic device with patient app

For products built around one-shot or episodic measurements: blood pressure cuffs, pulse oximeters, glucose meters, ECG readers. The app captures the reading, confirms it, and sends it where it needs to go without losing context.

Diagnostics Episodic readings

Therapeutic device with patient and clinical layer

For devices that deliver or guide treatment, where a patient app and a clinical interface share the same data: CGMs paired with insulin systems, sleep apnea therapy, home dialysis, chronic care devices. Both sides need to see the truth at the same time.

Therapeutic Patient + clinical

Hospital and clinical device with provider software

For devices used by clinicians inside care settings, where the software is the workflow: bedside monitors, lab analyzers, imaging stations, treatment consoles. Built for staff who use the product every shift, not occasionally.

Clinical Provider-side

Remote patient monitoring platform

For products that pull data from multiple devices into a single care view: vitals, adherence, alerts, and longitudinal trends across a patient cohort. The platform connects the devices, the patients, and the clinical teams responsible for them.

RPM Multi-device

Case studies

Project Life Cycle

Discovery

2-4 weeks

You leave this phase with a clear picture of the product: the device behavior, the user touchpoints, the integration surface, and where reliability is most likely to break. Plus a fixed scope and a tech decision agreed by both sides, so nothing from here on is a surprise.

Design & prototype

1-2 months

ou see the product before it's built. UX flows for patient and clinical roles, click-through prototypes for the main user journeys, and a module breakdown that maps to your device and data model. By the end, you've reviewed and signed off on what's going into the build.

Build

4-6 months typical

You don't wait until the end for a reveal. Working slices land regularly, demoed every two weeks, and deployed to a UAT environment where your team can work. By go-live, your team has already worked in the system and shaped it, instead of meeting it for the first time on launch day.

Launch & support

3 months included, then optional

You launch with three months of bug-fix support included, and the source code, schema, and documentation in your hands. Whether you keep us on a retainer for new features or extend the system with your own team is your call, not ours.

Integrations we commonly build

Health platforms

Apple HealthKit, Google Health Connect, Samsung Health, and the consumer-side data hubs patients already use. Lets the patient see device readings alongside the rest of their health data without forcing them into another isolated app.

EMR, EHR, and clinical systems

HL7 and FHIR-based exchanges, plus direct connections to clinical systems like Epic, Cerner, athenahealth, or regional equivalents. Scoped per integration, since each provider's API surface is different and the data model never lines up cleanly.

Notifications and messaging

Twilio for SMS, SMTP for email, Firebase and APNs for push. Routed by user role and event type, so a missed reading alert goes to the patient, a clinical threshold breach goes to the care team, and onboarding nudges stay separate from clinical signal.

Cloud and infrastructure

HIPAA and GDPR-aligned cloud setups on AWS HealthLake, GCP Healthcare API, or Azure API for FHIR. Plus analytics and monitoring (Mixpanel, Amplitude, Sentry, Datadog) configured for healthcare data residency from day one.

30 minute consultation

Book a consultation. Tell us about the device you want to integrate, and we'll come back with a clear sense of scope and next steps.

Consultation call

We ship globally.

We work with healthcare startups, digital health teams, and medical device companies across different markets. Whether the product is patient-facing, clinic-facing, or built around connected hardware, we help shape software that feels reliable, usable, and ready for real-world use.

USA
Germany
Netherlands

Great Britain
Spain
France

FAQs

Who owns the code, data, and infrastructure?

You do. Source code, database schema, and full documentation are delivered at go-live. Your data lives on infrastructure you control, in the region you operate.

How do you handle medical data compliance?

Core primitives are baked in by default: audit trail, role-scoped access, encrypted transport and storage, recoverable soft-delete. Specific frameworks (HIPAA, GDPR, MDR, regional equivalents) are scoped per project, since each operation has its own contracts and obligations.

Can we start with one part of the product and expand later?

Yes. Most projects start with the part that hurts most: the patient app, the device communication layer, or the clinical-side dashboard. Once that's running in production, the rest gets layered in.

What does pricing typically look like, and is it fixed?

Projects are scoped and priced as a fixed-price Statement of Work. Change requests during the build are quoted separately before starting, so there are no surprise invoices at the end. Ballpark figures and a more specific scope come out of the first call once we understand the product.

How quickly can we start, and how long does a project take?

Discovery can begin within two of a signed agreement. End-to-end delivery (discovery, design, build, deployment) typically lands in four to nine months for a full product, though smaller scopes ship faster.

Tell us more about yourself

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ByteCrab in numbers

12+

years solving real-world tech challenges

150+

products shipped and scaling

20+

countries where our clients run and grow their products

Project inquiries

hello@bytecrab.com

Phone number

+38 095 537 6119