“The computer is very fast, accurate and stupid. Man is very slow, inaccurate and brilliant. Together they make an unbeatable team.”
-- Albert Einstein
The healthcare sector in Pakistan is being transformed to avail improved services to its population. Still larger portion of the population has left to have access of readily available health services. Many attempts (e.g. trainings, encouragement to relocate) have been made in the past but all have failed to fill this gap. Tele-health care is the only solution to bridge this gap between unevenly distributed providers and under served receipeints.
Most commonly cited under served population is living in rural areas. For them health services are simply far away to be utilized. Most Basic Health Units lack Doctors and Specialists in rural areas. They are usually manned by Nurses, Lady Health Workers or only a Pharmacist.
Tele-health care is a web/mobile based portal that enables clinicians operating in rural areas and disaster affected communities to get rapid diagnosis, expert advice, and opinions from specialists around the world.
Tele-healthcare project basically aims to utlize voice, Short Text Messaging (SMS) and Multimedia Messaging (MMS) over mobile phones to quickly and efficiently extend medical advise to LHW in the field by connecting them to our network of specialists. This will enable LHW to provide better quality healthcare to the community they serve. Further they can download short audio and video files to keep them abreast with latest in the medical field. These multimedia files will act as quick training sessions for LHW in the field as well. These LHW will connect to our central health network through SMS/MMS/voice to get expert medical advise. This way we can reduce the untimely deaths, complications and increase prevention of pandemic diseases in rural areas.
Several reasons point towards our approach being a success. Here are some of the reasons.
It is an improvement over existing tele-medicine initiatives currently in use.
It supports both live and store and forward methods for diagnosing remote patients.
It does not rely on commercial technology, rather open source based