Founder & CEO, Australis Scientific
Nick Agahari
Medical device manufacturers (MDMs) are increasingly stepping into provider roles. This shift represents an evolution in MedTech business models, which leverage software, data, and connectivity to improve the delivery and impact of MedTech in patient care. This strategy extends access to care, streamlines the delivery of that care, and ties device performance closely to patient outcomes while building sustainable businesses that align clinical impact with commercial success.
In this webinar, leaders and pioneers from Australis Scientific and Corvista Health explored the key reasons why this is an accelerating trend: cloud platforms and connectivity, lower-cost sensors and miniaturization, changing reimbursement dynamics, and pressure to simplify workflows at outpatient sites. For manufacturers, the move requires new skills in clinical operations, billing, and data management. The rewards include earlier patient access, richer data, and recurring revenue. The challenges include site of service rules, evolving AI valuation, and the complexity of running services at scale.
A key lesson from early movers is that reimbursement must be treated as a design parameter, not an afterthought. Scalable billing infrastructure, evolving AI policies, and market-specific approaches are important for long-term viability. The financial sustainability must also be paired with a digital foundation that makes these services scalable and compliant.
The panelists emphasized four key themes:
Together, these themes highlight how device makers are redefining value delivery.
Selling devices alone does not ensure adoption or sustained use. To succeed today, manufacturers sometimes find that they need to bundle their devices with clinical services that make them more practical for providers and accessible to patients.
Australis’ Confidence Smart Patch for percutaneous tibial nerve stimulation (PTNS) addresses a long-standing challenge in treating overactive bladder and related urological conditions. Traditionally, PTNS requires weekly in-clinic needle placement. Their device combines anatomical landmarking tools, sensors, and a mobile app, allowing patients to safely self-administer the device at home, with impedance checks ensuring proper use. Clinicians then provide oversight through telehealth or asynchronous review, supported by continence nurses for technical assistance. This reduces clinic visits from 45 minutes to roughly 10 minutes of remote reviews, with potential for near-instant oversight in the future.
“For clinicians, what we provide is a technology that allows them to treat patients better in their own homes, rather than in their clinic, and we turn that around from a 45-minute weekly session with a patient into a 10-minute screening virtually.” – Nick Agahari
Corvista extends diagnostic capability to outpatient “spokes” rather than concentrating in hospital hubs. Their non-invasive device analyzes electrical and hemodynamic signals to assess cardiovascular disease, providing clinicians with actionable insights without the need for high-cost imaging equipment. Corvista CEO Adrian Lam described healthcare systems as “hubs and spokes,” where patients are often funneled unnecessarily into tertiary hospitals for access to advanced equipment. Many smaller sites lack both the equipment and billing systems needed for digital diagnostic services. To address this, Corvista bundles diagnostic technology with administrative services, including billing, under the Independent Diagnostic Testing Facility (IDTF) model. This enables clinics to access advanced diagnostics without incurring significant capital investments or administrative overhead. Adoption has been strongest where the administrative burden is reduced; providers care most about whether the technology is reliable and reimbursable.
“We actually need to be a provider, because number one, multiple archetypes of stakeholders use our product. Number two, it’s used in a place where there’s not a lot of capital equipment, and there’s no big budget. And so, in a way, there’s this trend from CapEx to OPEX.” – Adrian Lam
Reimbursement often determines whether device-plus-service models can scale. Manufacturers must incorporate financial pathways into product design, rather than treating them as an afterthought. Getting reimbursement right shapes provider adoption, patient access, and long‑term sustainability.
For manufacturers stepping into provider roles, building a digital ecosystem is not optional; it is the foundation that makes new service models scalable, compliant, and economically sustainable. A well-designed digital backbone ensures data integrity, supports regulatory requirements, and provides the operational visibility necessary to enhance both clinical outcomes and business performance.
“The core baseline of all of that is having a good data chain of custody, right? Where did the data come from? Do you have access to it? Has it been altered in any way, shape, or form?” – Bernhard Kappe
Of course, digital infrastructure alone doesn’t drive adoption. It takes the right mix of people and expertise to bring these systems to life.
MDMs now need to build capabilities that historically were outside their scope. Delivering services alongside devices requires expertise in clinical operations, reimbursement strategy, regulatory engagement, and data science, disciplines that extend well beyond traditional engineering and manufacturing.
The professional diversity of Corvista’s founding team illustrates this shift. It included a physician, a bioinformatician, an engineer, and a biologist, reflecting the broad mix required to develop both technology and service operations. Leaders often pivot between conversations with investors, machine learning engineers, and clinicians on the same day, underscoring the versatility needed to scale hybrid models.
The panel drew on David Epstein’s book Range, which highlights the power of broad, cross-disciplinary talent. This kind of range is critical when products span sensors, algorithms, workflows, and reimbursement mechanics. Several companies have already shown how combining technology, services, and talent can reshape markets.
These companies illustrate how pairing devices with services can redefine markets, accelerate adoption, and strengthen reimbursement pathways.
Together, these precedents demonstrate how layering services onto devices accelerates reimbursement, improves adoption, and builds long‑term sustainability.
Policy and regulatory signals shape whether innovative device-plus-service models can scale. Clear rules on reimbursement, service delivery, and digital adoption set the boundaries for how quickly companies can move and how sustainably they can operate.
U.S. regulators are actively exploring ways to support earlier, out-of-hospital diagnostics and treatments. Agencies such as HHS, CMS, and FDA are investigating how to reimburse new models, rather than asking if they should be covered. At the same time, reimbursement frameworks for AI-enabled work remain unsettled, prolonging an existing obstacle to reimbursement.
Non-U.S. healthcare markets may prove more flexible. Instead of requiring site-specific justifications, such as whether a service is delivered in a hospital, clinic, or home, many international payers focus primarily on whether the intervention produces strong clinical and economic outcomes. Once value is demonstrated, reimbursement can often be applied across settings, which can accelerate adoption. Companies must therefore tailor their approach accordingly.
Companies exploring hybrid device‑care models often ask where to begin. The following steps distill lessons from early movers into practical guidance for building sustainable, digitally enabled businesses.
1. Integrate reimbursement strategy into product design.
Companies should map billing codes, documentation requirements, and site-of-service issues early to ensure financial viability is built in from the start.
2. Treat business-model design as a part of R&D.
Companies should study how trailblazers structured reimbursement and scaling pathways, and adapt lessons to their own market context.
3. Build the digital backbone early.
It is important to establish secure telemetry, auditable data pipelines, and compliance-ready infrastructure before attempting to scale.
4. Solve provider pain points that providers cannot solve themselves.
Companies should offer services that remove barriers such as billing workflows or administrative burdens, while leaving clinical decisions to providers.
5. Assemble cross-disciplinary teams.
Recruiting “deep generalists” who can bridge engineering, clinical workflows, regulatory requirements, and business strategy is key to long-term success.
Founder & CEO, Australis Scientific
Nick Agahari
CEO, CorVista Health
Adrian Lam
CEO and Founder, Orthogonal
Bernhard Kappe
Chief Solutions Officer, Orthogonal
Randy Horton
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