SAS® Health and Life Sciences News SAS
Third Quarter 2009 www.sas.com  |  subscribe  |  unsubscribe
The right prescription for healthcare users »
SAS Canada, the leader in business analytics, has launched SAS Data Integration for Healthcare, designed to help analysts spend less time consolidating data and more time with analysis to help improve outcomes.
Industry News
Workplace Shaman: Diagnosing the nursing crunch »
Pat Finerty, Vice President at SAS Canada, and consultant Brian Shorter provide insight on how analytics can help the healthcare sector better plan for the future in this Financial Post article on nursing shortage.
Move to EHRs full of challenges »
A speaker at the SAS Health and Life Sciences Executive Conference says the transition to electronic health records won't be easy. Also, Jason Burke, Director of the Health and Life Sciences Global Practice, tells a TV reporter that slim travel budgets didn't hurt attendance at this year's conference -- a sure sign of its growing prominence. 
Double exposure »
SAS gets double exposure in a recent issue of PharmaVoice. Jason Burke, Director of the Health & Life Sciences Global Practice, was featured among industry thought leaders giving their perspective on what it means to be global. Also, SAS was featured in the article “Using Technology to Create Efficient Processes for Drug Development.”
Life sciences invests in analytics »
Despite the recession, pharmaceutical and biotech companies continue to invest in discovery and development of advanced, life-saving therapies. Small and midsize life science firms leading the quest to deliver innovative products use SAS analytics to speed drug development and facilitate regulatory compliance.
Thought Leaders
Focus shifts from financials to clinical data »
Since the turn of the new century, the healthcare industry has spent less time focusing on financial data and more time collecting, integrating and understanding clinical data, says SAS Chief Healthcare Strategist Cindy Berry.
Providing the right care ... right now »
SAS Business Solutions Manager Chris Scheib writes that the ability to intervene and provide the right care for the right patients at the right time is growing more critical than ever in the healthcare industry. Business analytics, especially predictive modeling, provides the right insights needed to make tough decisions that protect patients and health plans alike. 
Never mind the bolus »
As the US government ponders fundamental -- and costly -- shifts in the nation's healthcare system, leaders in Washington and in the industry's boardrooms must invest in analytical insights and change programs -- not just more data. So writes Jason Burke in his blog, "A Shot in the Arm."
Events
Data Quality with Teeth: The Role of the Data Steward
September 22
Toronto
TASS (Toronto Area SAS Society)

September 25
Toronto


Toronto Data Mining Forum
October 21
Toronto
HUG (Health Toronto)
October 27
Toronto
The Premier Business Leadership Series
October 27-29
Las Vegas
Customer Success
Avantas boasts better forecasting »
Avantas can now forecast a hospital's staffing needs in a fraction of the time it formerly took and with a double-digit improvement in accuracy.
Getting drugs to market faster »
Vertex Pharmaceuticals saves millions using SAS® for clinical trial simulations.
CareSource holds down costs, helps patients with SAS® »
CareSource streamlines the integration, analysis and reporting needed to create an effective patient management system, which saves money and helps patients stay healthier.
Resources
Webinar: Data integration for healthcare »
View this free webinar to learn more about SAS Data Integration for Healthcare, designed to help analysts spend less time consolidating data and more time with analysis to help improve outcomes.
SAS® in Designing Clinical Trials »
View this free Webinar led by Alex Dmitrienko, Ph.D., Principal Research Scientist at Eli Lilly and Company, author and award-winning continuing-education presenter.
Pharmaceutical Statistics Using SAS®: A Practical Guide »
This book introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. It includes a discussion of methodological issues, practical advice from subject-matter experts and a review of relevant regulatory guidelines.
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