Data-Driven Opportunities for Improved Population Health Management

This seminar, organised by NUS-ISS, will explore the opportunities for predictive analytics when considering population health management and preventative medicine. The speakers, drawn from business, academic, and government sectors, will share their perspectives on key challenges that might be tackled through smart data collection and targeted analysis in order to achieve improved impacts on population health.

Enquiries

Please email issmarketing@nus.edu.sg

The seminar will be of interest to anyone looking at preventative care strategies and how to improve decision making through accessible analytics programmes.

1 Apr 2016, Friday
9:00am – 12:15pm (Registration begins at 8.30am)
Institute of Systems Science
25 Heng Mui Keng Terrace
Singapore 119615

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Free Admission Register Now Registration ends
on Thursday, 31 Mar 2016. Seats are limited and will be reserved on a first-come-first-serve basis.

Seminar Agenda

8:30 am	Registration
9:00 am	Welcome Address
9:05 am	Why Predictive Analytics Drives Population Health Management Ms. Krisa Tailor SAS Institute The #1 in Predictive Analytics The opportunities to transform population health management outcomes through predictive analytics remains largely untapped. Krisa will share powerful examples from around the world, that illustrate some of the opportunities available through predictive analytics in this field, including social data as a critical predictors of population health.
9:45 am	Opportunities for Singapore’s healthcare sector to transform through analytics Ms. Priyanka Grover Applications Senior Manager, IHiS Drawing upon examples from Singapore’s healthcare sector, Priyanka will illustrate the opportunities and challenges of developing data-driven strategies for improved healthcare productivity and outcomes. She will share a national vision for the transformation of the health sector utilising analytics at different levels, from national planning to individual care plans, and the opportunities for different organisations to access these potential opportunities.
10:25 am	Coffee Break
11:00 am	The Cost of Aging in Singapore Ms. Catherine Khaw Chief, Intelligent Systems Practice, NUS-ISS In a country with one of the fastest aging populations in the world, considerable efforts are being undertaken in Singapore to address the healthcare needs of the elderly, both now and into the future as that older population continues to increase. The financial burden of an aging population is often discussed, but the speaker will suggest that insights might be gained through improved understanding of those costs, in order to better target resources in future planning. Catherine will present findings from a research pilot undertaken in Singapore, exploring the hidden costs of elder care and insights that can be gained from these costs.
11:40 am	Panel Discussion
12:15 pm	Goodbye

Speakers' Bio

Ms. Krisa Tailor SAS Institute The #1 in Predictive Analytics View Biography

Ms. Krisa Tailor SAS Institute The #1 in Predictive Analytics

Ms. Krisa Tailor is a Global Industry Consultant in SAS’ Health & Life Sciences Global Practice, where she helps healthcare organisations worldwide to address today’s most pressing healthcare issues. She joined SAS in 2008, and has since then, worked across a variety of areas within healthcare, including policy, product management and consulting. She is also the Co-Founder of Remedy - a pain management digital health platform (remedymypain.com).

Krisa is passionate about next-generation healthcare products and services, health analytics, digital health and design thinking. You can read her insights about these topics, and others, in her book “The Patient Revolution: How Big Data and Analytics are Transforming the Healthcare Experience.”

Ms. Priyanka Grover Applications Senior Manager, IHiS View Biography

Ms. Priyanka Grover Applications Senior Manager, IHiS

Ms. Priyanka Grover oversees the Advanced Analytics initiative at IHiS, including Enterprise data warehouse, Predictive Analytics, Text Mining and Data Discovery.

She managed the SingHealth enterprise data warehouse eHIntS (Electronic Health Intelligence Systems) which enables faster and more efficient reporting and analysis. Users now spend 20% of their time on data preparation and 80% on data analysis, compared to 80% of time on data preparation previously.

Prior to joining IHiS, Priyanka was the project manager at NCS Pte Ltd and managed several Analytics projects spanning across the healthcare and education sectors.

Ms. Catherine Khaw Chief, Intelligent Systems Practice, NUS-ISS View Biography

Ms. Catherine Khaw Chief, Intelligent Systems Practice, NUS-ISS

Ms. Catherine Khaw is a Senior Member of the Business Analytics Practice at the Institute of Systems Science, National University of Singapore (NUS-ISS). She is a market intelligence and business analytics specialist with over 20 years of experience. Prior to joining NUS-ISS, she had held leading roles in IBM, Cisco Systems and marketing research firms.

An entrepreneur and innovator, Catherine pioneered in many research services that impact the customer bottom line. A believer in organisation transformation and talent building, she helped to build not only business intelligence organisation blueprints, but also people. She is also passionate about translating data into intelligence to make decisions and formulate strategies.

Catherine received a Bachelor of Business Administration from the University of Singapore and a Masters of Arts in Quantitative Analysis for Business from the City University of Hong Kong.

Last updated 17 Mar 2016

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