Mission and Vision
THINKMD was created to improve access to healthcare for everyone, everywhere by expanding clinical assessment competency of minimally skilled users. Real time public health, demographic and epidemiological data is captured with each assessment enabling partners and governments to save lives, reduce health system costs, efficiently allocate resources, and detect possible disease outbreaks.
Impact calculations suggest that for every 1,000 MEDSINC users, 300 children's lives will be saved, $19.4 million in productivity gains will be achieved, and a 4.5X increase in compliance with WHO protocols will take place.
MEDSINC is a simple-to-use, self-training, mobile, integrated clinical assessment software platform that enables minimally skilled users to effectively assess a pregnant woman and sick children and provide immediate triage and treatment recommendations. Targeting pregnant women and children two months to five years, MEDSINC guides users through a clinical severity assessment for critical clinical conditions including: respiratory distress, dehydration, infection risk (sepsis), and malnutrition, as well as eight common diagnoses.
How does your innovation work?
MEDSINC is a mobile clinical assessment platform that employs a simple interface to guide minimally skilled users, with varying levels of education and literacy, through an integrated clinical assessment of a child using the same evidence-based logic utilized by doctors. The assessment takes approximately 10 minutes and guides a user to:
1) Gather patient demographics;
2) Collect symptoms and illness history; and
3) Capture key vital signs and physical findings.
With or without access to cellular/wireless connectivity, the platform immediately employs a next-generation clinical intelligence algorithm to provide users with a succinct actionable output that includes an integrated illness severity assessment for Respiratory Distress, Dehydration, Infection Risk and Malnutrition and 8 additional assessments for common diseases: Malaria, Meningitis, Anemia, Urinary Tract Infection, Skin Infection, Measles, Ear Infection, and Dysentery. The back-end algorithm then assesses the severity of illnesses and health risks and provides instructions for triage and treatment.
According to the WHO, by 2035 there will be a shortage of between 40-50 million healthcare professionals. mHealth software platforms are an increasingly viable (over $2 billion invested in the digital health space in the first quarter of 2016) and sustainable option to address the global shortage of healthcare professionals and limited healthcare infrastructure.
MEDSINC’s proprietary Bayesian scoring and weighting pattern recognition algorithms differs substantially to existing solutions which are based on limited integrated content decision-tree frameworks with a narrow ability to scale due to a singular focus on a limited number of diseases.
MEDSINC also serves as an intuitive data collection tool that captures real-time geo-tagged public health data with each assessment. This data will reduce reaction time to disease outbreaks, increase awareness of illness in communities, and generally improve health outcomes globally.
Planned Goals and Milestones
The strategy to expand use of the innovation is to continue to create collaborative and strategic partnerships with entities implenting community-based programming in the communities where need is the greatest. Software will be deployed through channel partners with workforces already in place.The end goal is to empower community health workers with the ability to accurately assess and identify sick children directly within their communities, enabling them to make appropriate and timely triage and treatment decisions.
Data subscriptions will give NGOs, foundations, governments, and private sector clients access to THINKMD’s web-based dashboards offering real-time health data and analytics.
Impact evaluations will help to illuminate lives and costs saved through use of the MEDSINC platform.
The validation and development experience for our current MEDSINC configuration puts us is a very strong position to quickly develop new clinical platforms since we now have established frameworks for future UI/UX, clinical assessment rules engine, and backend architecture for derivative MEDSINC products.
Future platform expansions will include:
Expansion of diseases Maternal and newborn Children (>5yrs), adolescents, and Adults Emerging disease Emergency medical / Humanitarian response Electronic Health Record functionality