When Does an Innovation Become Research?

Teaching Spine (15 minutes)

We begin with structure.

Every research program rests on three elements:

• A problem -  describes reality.

• A gap - identifies what is missing.

• A hook - justifies inquiry.

Many researchers: 

• Collapse these elements.

• Insert the solution inside the problem.

• Exaggerate the hook.

• Claim impact too early.

That creates structural instability.

Let us examine two versions from the IO project.

Weak Example

❌ Weak Problem

Intraosseous insertion is a very important medical procedure that can save lives.
However, current training models are expensive and not very good.
Because of this, many learners do not receive optimal training.
Therefore, we developed a better and more innovative simulator.

❌ Weak Gap

There is currently no effective IO simulator that improves learning outcomes.
Therefore, a new simulator is needed to enhance training and improve patient safety.

❌ Weak Hook

This new simulator will significantly improve training quality, enhance procedural competence, and ultimately improve patient outcomes across healthcare systems.

Why These Are Structurally Weak

• The language is vague (“very important,” “not very good”).

• The solution appears inside the problem.

• The gap makes unsupported universal claims.

• The hook promises outcomes that belong to later research phases.

• Impact is assumed before evidence exists.

This is product advocacy, not research positioning.

Now examine a better version.

Strong Example

✅ Strong Problem

Emergency providers must perform intraosseous (IO) access in high-stakes, time-sensitive situations.
Access to durable, affordable, and anatomically realistic training models is inconsistent across regions.
This limits distributed practice opportunities, particularly in rural and decentralized training environments.
Skill acquisition therefore depends heavily on centralized simulation infrastructure rather than learner need.

✅ Strong Gap

Existing IO training models are frequently costly, centrally manufactured, or difficult to reproduce locally.
There is limited evidence regarding scalable, locally producible training solutions that maintain anatomical fidelity while reducing cost.
In addition, early-stage development efforts have rarely been positioned within a structured research-to-translation framework.

✅ Strong Hook

Without scalable and reproducible training solutions, distributed health systems may remain dependent on centralized infrastructure for procedural skills development.
A locally manufacturable IO simulator, positioned within a phased research-to-translation framework, provides an opportunity to test whether decentralized production models can support equitable access to procedural training.

Notice:

• The problem exists without the artifact.

• The gap justifies inquiry.

• The hook proposes investigation — not guaranteed outcomes.

• No patient outcomes are claimed.

• No implementation success is assumed.
  
  

On Block 3 we will map your problem–gap–hook into a formal developmental framework such as DBR, MRC, or TRL.

An artifact becomes research only when it is structurally positioned within a research program.