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Analytics Magazine

January/February 2012 Table of Contents

healthcare analyticsFEATURES

Analytics & the future of healthcare

By Peter Horner and Atanu Basu
Market-driven reform already shifting emphasis from volume to value as industry leaders weigh in on what’s next.

Analytical integration in healthcare

By Thomas H. Davenport
Healthcare organizations need to finish implementing basic transaction data systems.

Predictive analytics: saving lives, lowering costs

By Todd Steffes
Non-adherence to medication prescriptions is a health epidemic in the United States.

Healthcare management engineering

By Alexander Kolker
Its scope, fundamental principles and potential and what it means for operations research professionals.

Intelligent decision support in healthcare

By Runki Basu, Norm Archer and Basudeb Mukherjee
Applying data mining and artificial neural networks to patient data to improve decision-making.

Telehealth’s promising global future

By Rajib Ghosh and Theo Ahadome
Despite potential, barriers remain for much-needed transformation of healthcare delivery models.

Managing, monitoring chronic diseases

By Basudeb Mukherjee, Karim Keshavjee and Runki Basu
The role of analytics in the Canadian Primary Care Sentinel Surveillance Network.

DEPARTMENTS

Inside Story

By Peter Horner

Executive Edge

By Don N. Kleinmuntz

Profit Center

By E. Andrew Boyd

Analyze This!

By Vijay Mehrotra

Analytics Conference Preview

By Teresa V. Cryan

Five-Minute Analyst

By Harrison Schramm

Thinking Analytically

By John Toczek

Analytics Blog

Electoral College put to the math test


With the campaign two months behind us and the inauguration of Donald Trump two days away, isn’t it time to put the 2016 U.S. presidential election to bed and focus on issues that have yet to be decided? Of course not.




Headlines

Survey: Despite the hype, AI adoption still in early stages

The hype surrounding artificial intelligence (AI) is intense, but for most European businesses surveyed in a recent study by SAS, adoption of AI is still in the early or even planning stages. The good news is, the vast majority of organizations have begun to talk about AI, and a few have even begun to implement suitable projects. There is much optimism about the potential of AI, although fewer were confident that their organization was ready to exploit that potential. Read more →

Data professionals spend almost as much time prepping data as analyzing it

Nearly 40 percent of data professionals spend more than 20 hours per week accessing, blending and preparing data rather than performing actual analysis, according to a survey conducted by TMMData and the Digital Analytics Association. More than 800 DAA community members participated in the survey held earlier this year. The survey revealed that data access, quality and integration present persistent, interrelated roadblocks to efficient and confident analysis across industries. Read more →

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