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IT Analytics in Healthcare

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It gives new developmental approaches towards IT deployment in health-care with the use of analytics.

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Page 1: IT Analytics in Healthcare

Mobile based Real Time Analytics Tool for Consumer Research &

HealthcareAbhishek Syal

Page 2: IT Analytics in Healthcare

CONCEPT & DESCRIPTION

Mobile based application software front-end for user GUI for medical inputs and suggestions (possibly by neural networks based expert systems and by practitioners)

Back-end: Collected Medical Database from buyers/consumers, real time collection & updation

Tool: Real time Analytics (Statiscal, and qualitative) for companies & healthcare research organizations as well as for developing expert systems software

Page 3: IT Analytics in Healthcare

DEPLOYMENT STRATEGYIn conjunction with practitioners, users, drug research organizations, chemists, patients and their medical history and other health and genetic information, doctors, hospitals, pharmaceutical companies.

Elementary focus group experiments for validation of drugs to be followed by follow-up research for individual patients for drug customization according to their particular diagnosis to enhance drug effectiveness and reduce side-effects.

Mobile based makes it real time, allowing the tool to capture the environment and other variables, like food intake or other drugs that could interact with ongoing treatment

Page 4: IT Analytics in Healthcare

USPs & APPLICATIONS

Telemedicine impleented cheaply and customer focusedReal time virtual diagnosis capabilty with addition of video conferencing for crucial treatment to mitigate fatal occurencesEffective Tool for First AidEffective Tool for studying interaction effects of a drug with other variables, like food intake, other drugs, etc. Drug Customization and hence, providing better treatmentEffective tool for follow up research on diseases like Cancer, AIDS, etc Effective tool to collect information on under-researched diseases like allergies, which depend a lot on other external and internal factors

Page 5: IT Analytics in Healthcare

Thank You!

:-)