Lagos, Nigeria

TolulopeAjidahun

I am a doctor in Lagos. I head business development and partnerships at Dokitami, a Nigerian telehealth company, and I write about health technology and AI in plain language.

Tolulope Ajidahun, physician and Head of Business Development and Partnerships at Dokitami, Lagos
About

I trained as a doctor at Olabisi Onabanjo University and worked as a medical officer at a primary health centre in Lagos. I now run a new business development and partnerships department at Dokitami, a doctor-led telehealth company here, which means finding and signing the locations we work through and building the team that staffs them.

The writing came out of the gap between those two jobs. Clinicians get told a technology will change their work, in language written for investors. People building the technology get told about African healthcare in language written for donors. I write for the person in the middle, who has to decide something on Monday.

I am not an engineer and I do not pretend to be one. What I have is a clinical read on what these systems claim, and a close view of the infrastructure they actually land in.

  • Role

    Head of Business Development & Partnerships, Dokitami

    A doctor-led telehealth company in Lagos. New department, built from zero.

  • Training

    Licensed physician, MDCN

    Olabisi Onabanjo University. Best Student in Psychiatry; Distinction in Obstetrics & Gynaecology.

  • Writing

    The Clinical Vector, and elsewhere

    Essays on health tech and AI. Published by iAfrica; Top 5, OCI Foundation national essay award.

Currently
Reading
  • The True Believer — Eric Hoffer
  • Americanah — Chimamanda Ngozi Adichie
Watching
  • House of the Dragon, season three
  • Sean Connery's Bond films, in order
Thinking about
  • What consciousness is
  • How language models are actually built
What the writing does

The same product, described twice

Most health-AI writing is not hard because the subject is hard. It is hard because it was written to impress a buyer. Drag the handle.

How it is usually written

Our AI-enabled clinical decision support platform leverages multimodal foundation models to deliver context-aware triage recommendations at the point of care, driving throughput optimisation across resource-constrained settings.

What it means

It reads a patient's symptoms and suggests who should be seen first. It has not been tested in a clinic like yours, and it stops working when the network does.

drag
Latest writing
All essays

Get in touch

Writing, speaking, or partnerships. Mail reaches me directly.