The MedTech Conference 2026 | Boston | October 18–21

Let’s Meet at
The MedTech Conference 2026 in Boston

Building, scaling, modernizing, or evolving a MedTech product? Let’s talk about the engineering challenges behind it. Whether you’re working through device connectivity, EHR integration, medical imaging, AI, cloud, cybersecurity, or regulatory-ready software, bring us the problem. We’ll bring the engineering perspective and explore what it takes to move it forward.

Device to EHR Prototype to production AI inside the product Regulatory-ready software

Let's grab 30 minutes in Boston

Tell us who you are and we'll work out a time that suits you.

    We'll reply within one business day. Slots go quickly closer to the event

    The Problems We Keep Hearing from MedTech Teams

    “The device works. Now we need to get the data into the hospital.”

    VP Engineering, Device Manufacturer

    “Our prototype runs fine. The architecture won’t hold past a few sites.”

    CTO, Digital Health Platform

    “We need Epic integration. We don’t want to become an HL7 company to get it.”

    Head of Product, SaMD

    “Our engineers are stretched. We need people who know MedTech, not just code.”

    Director of Software, Diagnostics

    “We have AI models. Getting them inside the actual product is another story.”

    VP R&D, Imaging

    “Every software change turns into another regulatory headache.”

    Founder, Connected Device Start-up

    If you found yourself nodding at two or three of those, that’s a good conversation to have in Boston.

    Bring Us the Problem. We’ll Bring the Engineering.

    Device to hospital

    How do you get data off your device and into the systems clinicians actually open during a shift? This is where most connected products lose months. BridgeFast, our own EHR integration accelerator, came out of doing this enough times to stop starting from scratch each time.

    HL7 FHIR DICOM Epic Oracle Health Hospital IT

    Prototype to production

    Your proof of concept did its job. But what has to change before a hundred sites, or a thousand users, or a customer with their own security review?

    Architecture Cloud Scaling Multi-tenant Legacy modernization

    Data to clinical value

    You’re already collecting imaging, device and clinical data. The question is what it’s doing for the product, and whether the model ever leaves the demo.

    AI and ML Medical imaging Computer vision Analytics Decision support

    Software to regulatory-ready

    How do you keep moving quickly without handing QA and regulatory a problem later? Documentation written after the fact is the expensive way to find out.

    IEC 62304 ISO 13485 Cybersecurity 510(k) readiness Validation

    Case Studies We Can Talk About in Boston

    A cardiac diagnostic company whose ECG reports were stuck inside the platform and never reached Epic.

    The platform wrote reports in XML. Hospitals wanted HL7 and DICOM. So we built an integration engine that watches for new reports, parses them, converts them into HL7 messages and DICOM objects, and sends them into Epic and imaging archives without anyone touching it.

    Outcomes

    • 90% less manual handling
    • 75% faster report availability
    • $20k to $100k saved per interface

    A MedTech company whose surgical teams burned roughly three hours per case on planning by hand.

    Labeling anatomy and calculating measurements was manual, and the imaging and collaboration tools didn’t talk to each other. We used computer vision to segment anatomy automatically, added predictive planning for implant placement and trajectory, and built voice control on Whisper and GPT-4 so surgeons can work hands-free and stay sterile.

    Outcomes

    • 3 hours down to 45 minutes
    • 98.7% labeling accuracy
    • 90% of planning tasks automated

    A provider of emergency call systems whose aging stack was slowing down the alerts caregivers depend on.

    Xamarin, Angular 8 and CentOS were holding the product back, and every rollout across facilities carried downtime risk. We moved mobile to Flutter, took the frontend to Angular 18.2, shifted the OS to Ubuntu, and automated rollouts through CI/CD.

    Outcomes

    • 60% faster alert processing
    • 50% less rollout time
    • Location-based alerting added

    A medical device company moving newborn images and reports between device and EMR on external drives.

    Manual transfer meant delays, mistakes and compliance exposure, and every hospital wanted a different format. We added microservices for real-time transfer, a configurable tool that converts images and reports into whatever each EMR accepts, and an HL7 setup hospitals can configure themselves.

    Outcomes

    • Hours down to seconds, 90% faster
    • Manual entry errors removed
    • Validated against Epic

    Why MedTech Teams Talk to Dash

    Deep knowledge of the engineering behind the product, not just the software layer sitting on top of it.

    Regulated healthcare is what we work in every day. HIPAA, HL7 and clinical workflow aren't something we read up on for your project.

    Device, application, cloud, AI and integration sit under one roof, so the handoffs between them are ours to manage, not yours.

    We fit into the team you already have. No reorganising around us, no big transformation programme.

    The goal stays the same throughout: moving a product from "it works" to "it works in the real world."

    About Dash

    Since 2010

    Sixteen years building software in healthcare

    400+

    IT professionals across three development centres

    ISO 9001 & 27001

    Certified quality management and information security, with HIPAA-aligned delivery

    OpenAI Select Partner

    Recognised partner status behind our AI and model work

    Who You’ll Meet in Boston

    Jay leads business development at Dash and has spent 15+ years in IT services, most of it with clients across North America. His focus sits on healthcare and MedTech: EHR and EMR integration, interoperability, AI in clinical workflow, and connected device work.

    His role in Boston is to understand the problem properly, give you a straight answer on whether it’s something we’ve solved before, and bring the right engineers in from there. That way the technical conversation starts with the right people already in the room.

    - Jay Patadiya

    Director of Business Development, Dash Technologies

    Got a problem that doesn’t fit neatly into a service category?

    Bring it anyway. We’ll talk through the architecture, the integration, the regulatory side, and what it would actually take to move it forward. If we’re not the right people for it, we’ll say so.

    Connecting a device to Epic Modernizing a legacy platform Adding AI to an existing product Prototype to production Scaling a multi-site rollout Connected device architecture Imaging and computer vision Extra engineering bandwidth Getting software submission-ready
    Let’s Meet at MedTech Conference 2026

    Boston, October 18–21. We’ll be there all four days.