Blurring the Lines: Merging Innovation and Technology Transfer for Better Results
When a research organization sets out to build an innovation function from the ground up, the instinct is to start with infrastructure: idea management platforms, evaluation software, IP and portfolio management systems, business development pipelines, client relationship, and market-opportunity tracking. Vendors and consultants exist for every one of those pieces individually. And everywhere one looks, the same architecture is assumed: you build an Innovation Office to spark ideas and culture on the front end, and a Technology Transfer Office to protect, license, and commercialize them on the back end. What’s harder to find is guidance on the organizational design question that actually determines whether any of it works.
For research organizations — universities, research centers, hospitals, national labs, and government organizations built around services rather than a single product — the question becomes more profound; whether technology transfer functions like IP and commercialization into the innovation framework can accelerate the speed from idea to impact?
The Wall That Slows Everything Down
The traditional model is sequential. The innovation side does the “soft” work — building culture, running ideation, nurturing early concepts. Then, once something looks promising, it’s handed over the wall to technology transfer for the “hard” work — patents, legal agreements, licensing, commercialization.
In a product company, this sequential approach and separation can work; everyone is aligned around a product to sell. But in a research organization, it breaks down. Here, the clinician, researcher, or student with the idea usually has the clearest view of the unmet need but the least training in commercialization. If their idea has to survive a cold handoff to a separate office, it stalls in the gap between the two. Most institutional inventions never reach anyone, not because they lack merit, but because the linear process blocks momentum, market knowledge, and trust.
The field is waking up to this. Academic medical centers have established tech transfer offices to commercialize patentable IP — but much of today’s healthcare innovation isn’t even patentable, so they’re now creating integrated centers that integrate development, validation, and commercialization. Leading institutions are being told, in effect, that it’s time to rethink the model: technology transfer alone can’t close the translation gap.
So here are three key strategies to build the innovation engine for a research-driven organization:
#1. Map the Landscape Before You Build Anything
Before writing a single process, understand the landscape: meet people across every function and get their perspective on innovation.
Unlike most new initiatives, an innovation function cannot be stood up with light-touch support from a handful of stakeholders. It requires input from marketing, human resources, legal, finance, accounting, risk management, compliance, operations, sales, information technology, and business development, and it touches all of them at once. Other programs, when they launch or scale, typically ask each department for a policy extension or a small adjustment to something that already exists. Innovation calls for something closer to a new policy in each of those departments simultaneously.
That is the first lesson for anyone tasked with building the engine: understanding the landscape is not a courtesy tour. It is the actual work. The goal is what the field now calls translational velocity — compressing the distance from idea to impact — and one can achieve velocity by removing handoffs.
#2. Build the Framework — Function by Function
The traditional model keeps technology transfer in a separate office, engaged only after an idea has already cleared the research lab or the research office’s internal hurdles. The faster model pulls it directly into the innovation framework from day one. That single design choice does more organizational work than almost anything else in the program, because it is where two of the hardest problems in innovation — trust and momentum — actually get solved.
Standing up the engine means creating new infrastructure across departments at once. Marketing earns the initiative recognition and builds an inspiring innovation brand, while sales and business development gain a central place to capture what’s working and what customers actually want. Legal must establish a clear ownership policy — critical for service organizations like hospitals and universities, where innovators often don’t know who owns what they create — and accounting must track the cost of each initiative early, since how activity is recorded affects non-profit operations today and whether it qualifies for a for-profit spin-off later. Human resources build the reward framework that ties incentives to successful outcomes without penalizing intelligent failure and embeds innovation into daily work through time to tinker, learning, and training. Senior leadership carries its own piece: accepting that the early period of any innovation program will be dominated by failure, that success arrives slower and later, and that the KPIs used in year one cannot be the same ones used in year three.
#3. Build Trust and Reach Critical Mass
Trust is not created by a mission statement. It is created by removing the specific uncertainties that make people hesitate to contribute an idea — and ownership is the biggest one. When IP, legal, and commercialization are embedded in idea-nurturing rather than bolted on afterward, contributors know upfront what happens to what they create. That clarity does more to encourage participation than any incentive program layered on top.
The same convergence that builds trust also builds mass. When technology transfer functions sit inside the innovation framework instead of alongside it, the path from idea to protected, developed asset gets shorter and more visible. Shorter, visible paths get more traffic. That is how a program moves from a handful of early contributors to self-sustaining participation — how you get the engine turning and keep it moving.
Best Practices for Leaders Bridging Innovation and Technology Transfer
- Map the stakeholder landscape first – Treat every department as a co-owner of the program, not a service provider to it.
- Bring IP and agreements into the intake process from day one, rather than introducing them once an idea has already gained momentum.
- Build incentive structures that reward outcomes without punishing well-run initiatives that fail.
- Give the program a single, visible front door, so idea, development, IP, and commercialization compound momentum instead of fragmenting it.
The Case for Blurring the Lines
Keeping innovation and technology transfer separate was a reasonable model when innovation programs were small enough that IP questions could wait. It is a slower model now. Organizations that move technology transfer into the innovation office are not doing less governance; they are relocating it to the point where trust and critical mass are actually built, rather than to the point where ideas are gated. That relocation, more than any platform or piece of software, is what determines how fast the innovation engine actually runs.
Hitesh Mehta, M.D., M.Tech., Ph.D., is the Director of Innovation and Translation at Shepherd Center, where he leads efforts to advance clinically meaningful ideas into practical solutions that can improve rehabilitation care. Prior to joining Shepherd Center, he served as Assistant Director of Innovations, Technology and Development at Cleveland Clinic, where he evaluated inventions, built technology roadmaps for Class III and PMA devices.
His earlier career includes leadership and product development roles at MIVI Neuroscience, Integer, DeGen Medical, and the U.S. FDA, including launching four spinal systems in four years, supporting design validation and verification for cardiac and neuro leads, creating quality and development processes, and contributing to ASTM standards for spinal products. He is an accomplished inventor, academic, and technical reviewer who has authored textbooks, secured substantial external grant funding, published numerous peer-reviewed journal articles, and earned patents for his medical device designs.
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