I am a Medical Doctor and PMP-certified Project Manager,
with nearly a decade of clinical experience and about half a
decade of project leadership,
leading initiatives across healthcare, education technology, recruitment, and digital health.
My career began in clinical practice, where I served in Nigeria, Saudi Arabia,
and Oman across primary, secondary and tertiary health facilities , developing a deep
understanding of frontline healthcare delivery.
Over time, my passion for innovation and systems thinking led me to transition into project management,
where I've successfully led cross-functional teams in launching public health programs,
digital learning platforms, recruitment pipelines, and AI-driven prototypes tailored for healthcare.
Currently, I focus on bridging the gap between clinical insight and technology. I hold certifications
in healthcare-focused AI
and clinical data from Stanford, and I've led the development of digital tools such as
Triage Me AI and FeasiBot AI — prototypes designed to improve pre-hospital
patient self triage and pre-initiation clinical trial protocol feasibility assessments.
I thrive at the intersection of healthcare, technology, and project delivery, and I bring a
unique ability to translate complex clinical and technical needs into actionable project outcomes.
Above all, I'm committed to using technology to expand access, improve systems, and drive
meaningful impact in healthcare and beyond.
I'm now focused on opportunities that allow me to contribute to
mission-driven organizations working at the cutting edge of health-tech and digital
innovation.
I specialize in the intricate domain of Health-Tech Project/Product Management,
bringing a robust understanding of both clinical and operational workflows to the
development and deployment of impactful digital healthcare solutions.
My experience encompasses leading cross-functional teams through the
entire software development & product lifecycle, from initial concept
and strategic planning to successful execution, launch, and post-implementation optimization.
I am adept at navigating the unique challenges of the healthcare sector, including stringent regulatory
compliance (e.g., HIPAA, GDPR), data privacy considerations, and the complex stakeholder landscapes
involving clinicians, patients, administrators, and technology providers
My focus is on delivering innovative, user-centric software products and projects
that enhance patient care, improve operational efficiencies, and drive measurable value
for healthcare organizations.
I leverage agile methodologies (XP, SCRUM, and Kanban)and a data-driven approach to
ensure Medtech projects stay on track, within budget, and exceed expectations.
Project/Product Manager | Business Development Manager
Vidan Solutions Ltd
Abuja Federal Capital Territory, Nigeria
General Physician
Ministry of Health Oman
Ad Dhahirah Governorate, Oman
General Physician
Ministry of Health Saudi Arabia
Al Qasim, Saudi Arabia
Surgery Resident Doctor
Federal Medical Center, Abuja
Abuja Federal Capital Territory, Nigeria
Surgery Resident Doctor
Federal Medical Center Umuahia
Umuahia, Abia State, Nigeria
Project Coordinator and Sonographer
Blessama Medical Diagnostics
Akwa Ibom State, Nigeria
General Physician
Grace Hospital Etim Ekpo
General Physician
University of Nigeria Teaching Hospital (UNTH) Ituku-Ozalla
Enugu State, Nigeria
Bachelor of Medicine & Surgery
University of Nigeria, Nsukka
PMP® (PMI - 2020) | PMI-ACP | PMI-RMP
Project Management Institute
Introduction to Clinical Data
Stanford University
Evaluation of AI Applications in Healthcare
Stanford University
Fundamentals of Medicine Learning in Healthcare
Stanford University
Introduction to Healthcare System (of North America)
Stanford University
Software Project Management
Allison
Software Product Management
University of Alberta
Clinical Trial Project Management
Udemy
PMI-RMP® Certification
SimpliLearn
PMI-ACP® (Agile Certified Practitioner)
SimpliLearn
CCBA® Certification Training
SimpliLearn
Projects Managed
Happy Clients
By: Dr. Chidiebere Nwachukwu Ebube
There are stories of drivers who followed their navigation straight into a ditch,
or worse, a lake, despite every instinct telling them “this can't be right.”
That's automation bias - simply put, trusting a machine so much,
we shut down our own judgment.
Now imagine that happening in healthcare.
A clinician defers to an AI's diagnosis...
A nurse ignores their gut because the algorithm said “all clear”...
A fatal symptom goes unnoticed because the system didn't flag it.
With the explosion of AI in healthcare, we're racing to automate diagnosis, triage, treatment plans, and even life-or-death decisions.
But here's the truth:
The smarter the AI, the more we risk over-trusting it.
And in healthcare, that can cost lives.
Studies show clinicians are more likely to override their training when the AI appears confident, even when it’s wrong.
So how do we prevent this?
-Build AI systems that are transparent, explainable,
and designed to augment, not replace
-Train clinicians to question AI outputs, not just accept them
-Design technology that complements clinical reasoning
Because in healthcare, it's not just about building powerful tools.
It's about building trustworthy, transparent, and human-aware tools.
The goal isn't to replace the clinician.
The goal is to make them smarter, safer, and supported.
-Let's innovate, but not blindly.
-Let's trust tech, but not more than we trust reason.
Everyone's building another EMR.
Another triage chatbot.
Another AI assistant for the same old problems.
Meanwhile, real clinical pain points go untouched.
Let's talk about the blind spots:
Everyone's building another EMR.
Another triage chatbot.
Another AI assistant for the same old problems.
Meanwhile, real clinical pain points go untouched.
Let's talk about the blind spots: