Tag Archive for 'biosurveillance'


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m-Health project partner meeting at IIT Madras

A series of four meetings were held between 03-Aug-08 to 05-Aug-08 at the Indian Institute of Technology - Madras campus on defining the project design and goals in relation to the real-time biosurveillance program pilot. The program brought together partners from North America (University of Alberta and Carnegie Mellon University) who joined the meeting through skype; while the Indian and Sri Lankan partners met, face-to-face, at IIT-M’s Rural Technology and Business Incubator. The meeting coined this operations research initiative to be a “unique project”.

You can access the RTBP partner meeting report v1

Set of presentations

Disease surveillance program in Sri Lanka

Mobile phones for public health intervention

Auton Lab algorithms and data structures for rapid detection

Sahana health and messaging modules

Mobiles for data entry

Sarvodaya community health program

RTBP work plan

m-Health project kickoff

The real-time biosurveillance program is a pilot on the broader concepts of mobile health data surveillance for unusual patterns. Mobile Health is best defined by Krishnan Ganapathy’s exclusive published on Mobileactive. A partner meeting will take place at the Indian Institute of Technology Rural Technology and Business Incubator on Monday (04-Aug-2008) to discuss the way forward on the multi partner m-Health project. This initial meeting follows the e-India event on e-Health in Delhi where stakeholders are coming together to discuss lessons on similar action research. The partner planning meet program will bring together the project partners and give everyone the opportunity to hear each other out in relations to their roles and responsibilities. The goal is for all to agree to the work plan.

Mobile Phone - the real Doctor McCoy

Remember in Star Trek Dr. Leonard McCoy, nicknamed Bones, would use a handheld device (shaped like a mobile phone) to scan the vital signs report of a patient; the little screen on the device would make some electronic noises and display some random illuminated pixels, which he would interpret to diagnose the condition of the patient; thereafter, he would use the same device or the wrist device to call “Sick Bay” tell them what to do with patient diagnosed outside of the facility. He would even transfer the diagnostic report to Sick-Bay for the on duty staff to pickup to get ready before the patient arrived.

A team of researchers at the University of California, Berkley are using mobile phones that display faint blue dots on…