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A Novel, Decentralized, Local Information based method & model for Community & Service Detection in advanced medical emergency response system; especially for developing countries

IP.com Disclosure Number: IPCOM000241700D
Publication Date: 2015-May-22
Document File: 5 page(s) / 157K

Publishing Venue

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Abstract

A Completely distributed Method leveraging Crowd Sourcing for availing Medical Emergency services resulting in best SLAs for individual services (individual services include and not limited to Ambulance, First Aid, Medical Practitioners, Hospitals, Blood Bank Service, Pathology services, Medicines etc.) wherein: a) Each medical service provider to calculate own SLA based on .'Current Location' vs. target 'Emergency Location' and additional parameters (weather, traffic, availability of logistics) b) Choosing of right medical service provider for each individual medical service by scoring following: .Best SLA received by providers .SLA compliance history of providers .QoS of the providers

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A Novel, Decentralized, Local Information based method & model for Community & Service Detection in advanced medical emergency response system ; especially for developing countries

"Novel, Decentralized, Local Information based method & model for Community & Service Detection in advanced medical emergency response system; especially for developing countries"

It was a Friday morning when a colleague got a call informing his brother had met with a near fatal road accident. We rushed to the spot of incident to find that he had been taken to a nearby hospital. We reached the hospital only to realize that he had been transferred to a different hospital as there was lack of expertise and infrastructure to do the treatment where he was admitted first. Trouble followed us to the second hospital as his situation aggravated for want of matching blood samples.Time was short and we were running around endlessly. We were finally fortunate to be able to arrange blood and the patient survived an urgent operation.

The reason why we recounted this experience is because we were analyzing this situation later - a very common problem with emergency services in developing countries.

In this article we present a Completely distributed Method leveraging Crowd Sourcing for availing Medical Emergency services resulting in best Committed Response Time for individual services (which includes and not limited to: Ambulance, First Aid, Medical Practitioners, Hospitals, Blood Bank Service, Pathology services, Medicines etc.) wherein:


a) Each medical service provider can calculate their own "Committed Response Time" based on:


•'Current Location' vs. target 'Emergency Location' and additional parameters (weather, traffic, availability of logistics)


b) Choosing the right medical service provider for each individual medical service by scoring following:


•Best "Committed Response Time" offer by providers •"Committed Response Time" compliance history of providers •Quality of Service of the providers

In developing countries, personal emergency response has an immense scope for improvement in terms of efficiency and effectiveness. Budgetary constraints, political will and inadequate infrastructure pose further problems in providing better emergency care.

On the other hand mobile (smart phones) and mobile coverage are reasonably good at least in densely

populated cities.

A Smart emergency response system leveraging mobile, location based services and abundantly available skilled medical practitioners can offer an effective solution fairly quick which is efficient economically and in terms of response time.

Here is a Method and Model which is unique in addressing medical emergency situations in developing & impoverished countries where infrastructure is often inadequate.


2. Closer look: The Ecosystem

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The above system context diagram showcases the fundamental components which are into play for this method and model.

As the model shows - green lines are the preferred source of aid whereas red dotted lines are non-preferred ones. Likewise a 'single' star rating for a medical practitioner is of low preference compared to t...