MediLinkUp:eHEALTH SYSTEM 4DETECTION,DIAGNOSIS,AND ANALYSIS.

Maximizing digital health technology to improve quality and patient safety in Africa

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Inspiration

Sub-Saharan Africa is a resource-constrained region that suffers a top-heavy share of the world’s burden of disease. According to the World Health Organization (WHO), about 12% of the world’s population lives in sub-Saharan Africa, yet the region suffers 27% of the world’s total burden of disease.1 To make the situation worse, the same region with a high burden of the disease still lags in health information technology (HIT) which is vital in ensuring improved patient care. Timely as well as accurate patient information is essential to meet the health-care needs of any patient in any population. Physicians and other care providers require high-quality information to make sound clinical decisions; however, their information needs are often not met. The first three challenges identified were inadequate human resources (34.29%), inadequate budgetary allocation to health (30%), and poor leadership and management (8.45%). The leading solutions suggested included training and capacity building for health workers (29.69%), increased budgetary allocation to health (20.31%), and advocacy for political support and commitment (12.31%).

The critical need for good health information systems in sub-Saharan Africa has become the current focus of attention. Many studies conducted in different health-care settings have indicated that EHRs will assist health professionals to reduce medical errors, achieve better effective care coordination, improve safety and quality, and also, it can reduce health-care costs.

What it does

First, though an important starting point, training alone is insufficient to engage and build capacity for facility and community health workers. Stakeholder meetings, data reviews, and mentoring use of data as a basis for decisions have been utilized to engage health workers and managers and demonstrate the value of data, HIS quality, and ownership of tools to summarize data and guide decision making. A second lesson learned is that it is critical for HIS interventions to be developed in the context of the national HIS, which has been feasible across PHIT Partnerships and is crucial to ensuring the sustainability of the programs beyond the project lifespan. Finally, in two of the PHIT Partnerships, the increased availability of mobile phone technology has facilitated the introduction of EMR systems in rural, resource-constrained environments. These ICT innovations have come at a high initial financial cost to build infrastructure, modify software, and build human resource capacity for their use.

“Build an IA method to learn from the data and detect COVID-19 symptoms and diagnose patients. The learned model allows us to classify COVID-19 cases.”

How I built it

 Build a website to collect data of patient's symptoms


 Create a large database epidemiology data and identify coronavirus symptoms.


 Manage the database, making it usable to other researchers while taking care of privacy concerns.


  Build an IA method to learn from the data and detect early COVID-19 symptoms. 
   The learned model allows us to make a diagnose.


   Evaluate IA method

Challenges I ran into

Although fewer than 50% of Africans have access to quality healthcare, physicians and other health providers require high-quality information to make sound clinical decisions; however, their information needs are often not met. This can results in 30% inadequate budgetary allocation to health and 8.45% poor leadership and management. Furthermore, of those who had access, 42% reported difficulty obtaining needed care. The current COVID-19 epidemic places an increased burden to have timely and accurate patient information. This lack of high-quality information often leads to a lesser quality and inefficient patient care, which can lead to increased mortality.

Accomplishments that I'm proud of

 Minimum Viale Product (MVP)

 Business model canevas  

https://sites.google.com/view/medilinkup/home

 https://github.com/garbamoussa/MediLinkUp

What I learned

Data Science helps doctors monitor patients’ health with the help of IoT devices. These wearable devices help monitor various medical conditions such as heart rate, body temperature, blood pressure, etc. These devices send patients’ data to concerned doctors for medical analysis. This helps doctors take the necessary steps for treating patients accordingly. Data Science helps doctors monitor patients’ health with the help of IoT devices. These wearable devices help monitor various medical conditions such as heart rate, body temperature, blood pressure, etc. These devices send patients’ data to concerned doctors for medical analysis. This helps doctors take the necessary steps for treating patients accordingly. Apart from the other applications of Data Science, it helps in managing the patient data. The patient data is stored in databases and can be used in the future for the analysis of several medical conditions and the improvement of medical diagnosis and treatment.

What's next for MediLinkUp: eHealth

  Implementation will be funded by an investor, grants, and private equity.
   Business for profit: annual subscription based on package deals.
   Solution distribution
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