It starts with a person.

Humanity defines the technology.
01 · Where this starts

How do we tell our story simply?

You've done the work, and it's good. Saying why it matters in one clear line is the harder part.

Evidence · Positioning · Narrative logic
Worked here withDigiPredictAsthma-prediction spin-out · wearable risk alerts
02 · Pathway two

How do we show our work to everyone?

The same work has to land for someone who arrives with none of the background.

Patient resources · Prototyping · Education
Worked here withAsthma New ZealandHealth charity · patient education
03 · Pathway three

How do we map incubation to adoption?

A resource nobody reaches for is a resource that failed.

Implementation · Partnership · Adoption
BuiltGastroTriageAI colonoscopy-referral triage
How I can help

Clarify the opportunity

I'll read everything you've got and work out what it's actually for. Then I find the clearest way to say it, one that holds up when someone pushes back.

Worked here with DigiPredict

Shape the experience

An idea still has to become something you can put your hands on. Writing, design, film, a prototype, a printed sheet. I make it myself.

Worked here with Asthma New Zealand

Bring it into the world

The last stretch is getting it to the people who'll actually use it. Implementation, partnerships, and the slow follow-through.

Worked here with GastroTriage
TRANSLATIONAL
HEALTH Co.
By Dr Jay Gong · Clinical academic, health-solution builder

Clinical research and innovations, built for patients.

Selected work → Work with me →
scroll — the world evolves

Humanity defines the technology.

It starts with a person.

Clinical research and innovations, built for patients. I help health work find its clearest story, reach every audience, and get adopted.

  • How do we tell our story simply?
  • How do we show our work to everyone?
  • How do we map incubation to adoption?
  • How I can help.
Selected work → Work with me →
Selected work

Projects at a glance.

  1. A smartwatch on a person's wrist, against a blurred warm indoor background. The screen shows a dark face ringed in orange, carrying a card that reads 'Elevated Risk' with 'Consult Asthma Plan' under it. The time reads 10:09 AM. The band is navy blue.
    Client

    DIGIPREDICT

    An asthma-prediction programme and University of Auckland spin-out, with a public website, two explainer films, and a co-design tool setting out how the app shows a person their risk. The site is live and both films run on it.

    See the work →
  2. A claymation nurse in a green polo shirt with a silver fern pin, seated and turned slightly towards camera, one hand open mid-gesture, as if mid-sentence. Sculpted clay texture shows on her face and sleeves. She sits to the left of frame against a plain warm-grey background.
    Client

    Asthma New Zealand

    Three explainer videos for Asthma New Zealand: how the airways work, what sets asthma off, and what its registered nurses do. Claymation carries the people. The systems are flat 2D, and the airway itself is built in photoreal 3D.

    See the work →
  3. At-a-glance figure: 1 in 11 after surgery, 1 in 7 after trauma develop persistent opioid use, with a 6.6× downstream mortality multiplier in surgical patients and 2.8× in trauma patients.
    Research

    Persistent opioid use after surgery and trauma

    A national cohort showing that 1 in 11 people develop persistent opioid use after surgery and 1 in 7 after trauma, and that it carries real downstream harm.

    Open case study →
  4. Editorial figure: two columns. On the left, two audit chips covering missing-data and contradiction checks. On the right, three triage bands covering Urgent, Routine (highlighted), and Not accepted.
    Build

    AI-assisted colonoscopy triage tool

    A clinical tool that reads a colonoscopy referral letter and applies New Zealand's national triage guidelines, closing the gap between primary care and the specialist inbox.

    Open case study →
View all work →
About

The clinician who builds.

I build for the patient in the bed, the clinician at the desk, and the system that has to make a decision tonight.

I'm a hospital pharmacist and pharmacoepidemiologist at the University of Auckland, working across clinical care, real-world health data and applied AI. One question sits under all of it. Who is harmed by the medicines we prescribe, and how do we use data and technology to prevent that harm?

On the clinical side, that has meant a decade of pharmacy practice and a national cohort programme on persistent opioid use after surgery and trauma. Its numbers (one in eleven after surgery, one in seven after trauma, and a roughly six-fold increase in downstream mortality) now anchor New Zealand's opioid stewardship conversation.

On the technical side, it has meant a national triage assistant for colonoscopy referrals, the data infrastructure that ties all of it back to outcomes, and maintaining the digital assets of DIGIPREDICT, an asthma-prediction spin-out, as its Chief Digital Officer. The triage assistant answers a real clinical bottleneck and is validated against the standard of care. I build for clinical adoption and real-world impact.

If your work sits anywhere between the patient and the system, I'd like to hear about it.

  • 10+yrs clinical
  • 30+publications
  • $2.9M+funded
Affiliations

Who I work with.

  • Health charities
  • Research teams
  • Clinicians
  • Public health agencies
  • DIGIPREDICT
  • Health-tech start-ups
  • Universities
Contact

Start a conversation.

Research collaboration, advisory, speaking, and media. Not recruiting outreach or vendor pitches.