Abstract:
In today‘s busy world, people are not able to track/monitor the medication events
of their dear ones who are suffering from diseases appropriately. There are times
when a patient “forgets” to have or “doesn‘t take” the prescribed medicine at a given
schedule. Such scenarios in medical term is known as Medication Non-adherence
(MNA).
The MNA to prescribed treatment is thought to cause at least 100,000 preventable
deaths and $100 billion in preventable medical costs per year. The reason for Nonadherence
shows 63% for forgetfulness.[5] A study kempegowda institute of medical
sciences & research center, Bangalore, India depicts over 21% of MNA problem in
hypertensive patients.[9] The technology that could help in improving the MNA related
problem is over 28% combining phone call (10%), live chat (3%), SMS (9%),
Mobile applications (5-8%).[11]
Despite, The medical profession largely ignores MNA or sees it as a patient problem
and not a physician or health system problem.[5] This is a great loss to society
considering the health effects and causes being generated from this issue.
This report highlights various mechanisms that can be thought to integrate in order
to improve the adherence of a patient.[1] Unlike already existing applications,
Our Application (MAMTE) will guide a patient through automated calls, maintenance
& tracking of log of events, & will use state of the art technologies such as
Google Cloud Vision A.I and Deep learning neural networks for text and handwriting
detection-recognition and extracting medication events through images.
Keywords: Medication Non-Adherence, handwriting recognition, google cloud vision
A.I, deep learning neural networks, medication events tracker.
