About MEKSI

MEKSI is Built by Doctors, For Doctors

Our mission is to help doctors achieve the safest standards of medical care using the world’s most advanced technology.

A problem worth solving

MEKSI Reduces Medical Error

Medical error is thought to be the third leading cause of death in the United States*. Alongside this alarming statistic, doctors are expected to absorb around 200 times the amount of data and facts than the average human can process.^

To address this problem, doctors need an effective way to practise to the highest standards.

And that’s where MEKSI comes in.

MEKSI stands for Medical Knowledge Simulator. It creates Virtual Standardised Patients (VSPs) using artificial intelligence, which allows health professionals to safely practise their patient consultation skills.

MEKSI is a clinical simulator designed for medical problem-based learning. It is highly realistic in recreating the situational context for the practitioner, be that in the emergency room, hospital or a medical centre.

MEKSI provides the user with an instant scorecard, helping students prepare for medical exams, or enabling qualified doctors to safely and independently improve consultation skills.

MEKSI is also able to provide objective assessment data about the user’s competence, making it an ideal workplace assessment tool, university administration tool, and for assessable professional development.

* Johns Hopkins University School of Medicine, 2016.
^ IBM Watson Health

MEKSI facilitates consistent, high-quality medical training, so health professionals can hone their consultations skills using simulation-based learning

The Story of MEKSI

dr thomas
Dr Jawahar Thomas — Founder and Chief Dreamer

MEKSI has been built on a propositional theory. Imagine Alice bakes a pie and places it on the window sill. If no pie is found, it means Alice did not bake a pie… Now applying propositional theory to clinical practice. If proper documentation is lacking in the doctor’s notes, it means the doctor did not ask the right questions. If the doctor did not ask the right questions, it should be assumed that the doctor did not know to ask the right questions.

On further research, I found a fun way of learning and assessment called Role Play. Also to my surprise, I found that role play was an integral part of the OSCE (objective structured clinical examination), used by most medical schools in the world for formal examinations since its invention in 1976.

The major stumbling block was now how would I be able to achieve standardisation rapidly. Role-play is actually cumbersome, expensive and needs a trained person to facilitate and/or supervise. It was then that I decided to build a mechanism where remote role play could be undertaken via a digital platform and the doctor’s notes could be compared to a world standard and an instant score given. That’s how MEKSI came about.

The new way to learn

Problem-based clinical learning, with interactive AI simulated patients

MEKSI is disrupting the field of medical education. It replaces actors in the training of students to provide safe medical care. Actors are expensive, resource intensive, and they can be inconsistent. MEKSI is an inexpensive, high-fidelity simulator that is valid, aligned to clinical practice guidelines, and can be used any time, anywhere.

MEKSI is highly realistic in recreating the situational context for the doctor be it the emergency room, hospital or medical centre. It provides the user with an instant score card, helping students prepare for exams and provides for safe independent practise in a contactless environment.

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MEKSI makes it easy to sharpen your patient consultation skills — whenever and wherever you like

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