The fifth floor of Manulife Financial Corp.’s stately headquarters on Toronto’s Bloor Street East sat empty during a recent tour, the workers having vacated about a week earlier.
The traditional offices on the periphery of the floor, in many different sizes and configurations, are destined to become a relic of the past. MARKET VIEWVideo: Market View: Canada's housing market poised for stable 2014Manulife, one of the country’s largest life insurers, is embarking on a massive overhaul of its offices, one that will make more efficient use of its real estate by changing the way its employees work. The company plans to increase the proportion of its work force that is mobile – that is, working remotely or dividing time between multiple locations – to 30 per cent. Currently, that number stands at less than 5 per cent. It also intends to... |
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(c) 2010-2024 Jon L Gelman, All Rights Reserved.
Showing posts with label Vancouver. Show all posts
Showing posts with label Vancouver. Show all posts
Sunday, January 5, 2014
In the search for savings, the workplace gets an overhaul
Sunday, September 15, 2013
Worrisome or not? Lung nodules identified on initial LDCT lung cancer screening
Long the domain of astrologers and tarot card readers, prediction has recently become downright fashionable. While quant-minded individuals like Billy Beane and Nate Silver have achieved fame and fortune using probabilistic forecasting, dozens of smartphone apps deliver the predictive insight of clinical risk scores to doctors’ fingertips. Why all the enthusiasm? Accurate predictions allow us to prepare for the future.
Testing their predictive mettle in this week’s NEJM, Dr. Annette McWilliams (British Columbia Cancer Agency, Vancouver, Canada) and colleagues ask a deceptively simple research question: If a low-dose computed tomography (LDCT) lung cancer screening test detects a lung nodule, can we use the information at hand to accurately predict if it is malignant? Using clinical and LDCT data from 1871 current or former smokers in the PanCan study, the investigators developed a model to predict when a newly discovered nodule was cancerous. Model variables included age, family history of lung cancer, and the presence of emphysema as well as nodule size, type, and location. Next, the investigators tested this prediction model in a cohort of 1090 current and former smokers enrolled in several British Columbia Cancer Agency chemoprevention trials. They found their model successfully discriminated between higher-risk and lower-risk nodules even within this validation cohort (AUC = 0.97, 95%CI 0.95-0.99), suggesting that the model can also be generalized to other... |
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