The journey to building a startup has a reputation to be unpredictable, yet exciting for us. This journey is also about pushing our limits and believing that our ideas are good enough and built to solve real-life problems. That’s why when Paddle announced its AI Launchpad program, it was a no-brainer. We were going to apply, and pitch an AI solution that we had been keeping in the stash, and which was scalable, applicable, and understandable endeavour. Geia’s Superminds were going to kill two birds with one stone and craft a unique and precise tool to assist doctors in clinical decision-making.
Our luck did turn out and I was selected to be a part of a group of 30 founders who were going to go through this journey hand-in-hand but in the end demonstrate their AI project and get to go back home with a cash prize of $25,000 equity-free. The winning price did sound sweet and savoury, but our long-term vision did not permit our sights to be blurred. We really wanted to take advantage of the training that we were being offered, the mentorship, and the assistance to implement Paddle’s payment infrastructure in our system. Moreover, our company is customer-centric, meaning that all the PLG resources and values that Paddle was sharing did not have a price tag.
What are we building?
It is a pleasure for me to officially introduce Mira to our audience and supporters. Mira is a Medical Intelligence and Recommendations Assistant built to deliver clinical decisions and insights to advise medical doctors and practitioners on the right course of action to take based on specific information provided.
This system considers variables that are likely to influence a patient’s care strategy or explain their symptoms. Race, nationality, gender, and even demographic areas are factors that sometimes can be linked to a medical or acute condition.
Based on this varied range of identifying information along with related health inputs such as antecedents/history, vitals, lab values, current medications among others, Mira processes the data, analysing for a pattern in this precise pool of information and delivers feedback in two parts. The first part of the feedback or “Assessment” is exactly what it is implying, the assessment of the patient’s health and the determination of the conditions and symptoms experienced by said patient and an overall evaluation of their health status on a scale. This gives the user a direct understanding, urgency detection and visual indication of the current situation. The second part “Recommendation” is where Mira suggests steps or actions to take to whether stabilise, ameliorate, or take urgent action to mitigate a health issue detected. This comprehensive approach enables MIRA to provide tailored suggestions on diagnosis, treatment plans, and appropriate medications.
With MIRA, doctors benefit from a sophisticated tool that augments their clinical expertise, leading to more accurate diagnoses and informed treatment decisions. This system not only enhances the quality of care but also streamlines decision-making, ultimately contributing to improved patient outcomes and an elevated standard of healthcare delivery.
We are conscious of the risks that come with implementing AI solutions in terms of bias whether religious, racial or gender-based – especially in healthcare, we want to keep pushing the conversation on the best approach to these ethical issues and assure the fairness of our system in delivering diagnoses and guidance.
In our next posts, we will be going over our design and development process, our go-to-market strategy and how we plan to market this application and ensure its global success.
What to expect?
An earlier survey that we conducted among medical doctors particularly located in West Africa clearly confirmed our belief that healthcare is not static and needs innovation and new tools that defy the standard and the status quo in this region. That is our pledge, our goal as a company; to build and to challenge. For us Mira by its core features is centred around the patient and it’s accessibility for being a part of our healthcare applications ecosystem and its integration with our EHR (Electronic Health Records) and our healthcare management system, will revolutionise the flow of healthcare and ultimately allow doctors to work with a reliable digital system – spike their productivity levels, and improve health outcomes for patients.
