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Journal of Community Medicine & Health Education | ISSN: 2161-0711 | Volume 8
&
Medical Sociology & Public Health
3
rd
World Congress on
Public health and Epidemic diseases
International Conference on
September 21-22, 2018 | Dallas, USA
Public Health Data andAnalytics EcoSystem from intervention to prevention of epidemics:Ajourney
to future of Public Health
Arun Sundararaman
Accenture, India
T
he functioning of Public Health Data Repositories is poised for major transformation, emerging from post-event data
collection to pre-event insight generation and dissemination i.e. from post-epidemic cure to prediction and prevention
of epidemics. Public Health domain is set to scale up data capabilities, analytics capabilities, technology capabilities, process
capabilities and functional capabilities to be ready for such transformation. On one side, this transformation necessitates
the need for shift to the NEW world such as “from traditional data repositories to future state Data & Analytics Platforms”
that encompass not merely structured data, but, vast streams and variety of unstructured data (e.g. clinical notes, physician
notes, patient notes, images, patient experience pulses through audio and video forms of data). And on the other side, data
infrastructure for epidemics management requires extensive collaboration between Hospitals, Pharmacies, citizen services
departments (not just healthcare), Health Data Exchanges and connected health eco-systems. These complexities necessitate
next generation big data technologies led Healthcare Data Management practices to revolutionize Healthcare Information
Management in addressing today’s key challenge that healthcare information is scattered in 4 different islands of data sets i.e.
Health Administration, Clinical/Hospital in EHRs, individual data in PHRs and environmental data in Public domain. This
paper covers specific recommendations around transformation to big data platforms for epidemic data sets, what to leverage
from existing data sets to gaps and data opportunities to tap and proposes an innovative Public Health Epidemics Big Data
Infrastructure Maturity Model to chart the course of this transformation.
Biography
Arun Sundararaman, in his current role, Heads Data and Analytics Technology Practice for Health and Public Service at Accenture, India. Having secured his
PhD in Information Quality Strategy from BITS, Pilani, India, he has been specializing in providing Data Management, Big Data and Analytics Solutions to leading
Healthcare Payers/Providers and Public Health organizations. He has helped in Indian Government to architect, design and build large scale public health data
repository enabling the Government in use of data for evidence based policy decisions in critical healthcare functions e.g. IMR/MMR, ambulance etc. A recipient of
the prestigious Ballou-Pazer Information Quality Dissertation Award from MIT-IQ Program for contribution to Information Quality research, he has many International
publications to his credit and serves on Editorial and Review Board of several international technology publications.
arun.sundararaman@accenture.comArun Sundararaman, J Community Med Health Educ 2018, Volume 8
DOI: 10.4172/2161-0711-C4-041