Welcome!

Agile Computing Authors: Liz McMillan, Pat Romanski, Elizabeth White, Dana Gardner, Andy Thurai

News Feed Item

CML HealthCare Inc. Announces Investor Conference Call: Corporate Update

MISSISSAUGA, ONTARIO -- (Marketwire) -- 01/15/13 -- CML HealthCare Inc. (TSX:CLC) (the "Company" or "CML") today announced that it will be holding a conference call at 10:00 am (ET) on Wednesday, January 16, 2013 for a corporate update. Investors and analysts are invited to join the call by dialing 416-695-6617 or 800-952-4972. Please dial in 15 minutes prior to the call to secure a line. You will be put on hold until the conference call begins.

A live webcast along with a PowerPoint presentation will be available through www.cmlhealthcare.com. Please connect at least 15 minutes prior to the conference call to ensure adequate time for any software download that may be needed to hear the webcast. An archived replay of the webcast will be available for 90 days.

A taped replay of the conference call will also be available until January 30, 2013 by calling 905-694-9451 or 800-408-3053, reference number 9108573.

About CML HealthCare Inc.

Based in Mississauga, Ontario, CML HealthCare Inc. is Canada's leading community-based, medical diagnostic services provider operating 140 patient service centres in Ontario, 94 imaging centres in Ontario and British Columbia, and a reference laboratory in Ontario focused on specialized coagulation testing for customers worldwide. CML is publicly-traded on the Toronto Stock Exchange under the symbol "CLC" and has approximately 89.8 million common shares outstanding. For more information, please visit www.cmlhealthcare.com and follow us on Twitter @cmlhealthcare.

Caution concerning forward-looking statements

This document includes forward-looking statements within the meaning of certain securities laws, including the "safe harbour" provisions of the Securities Act (Ontario) and other provincial or territorial securities law in Canada. These forward-looking statements include, among others, statements with respect to our objectives, goals and strategies to achieve those objectives and goals, as well as statements with respect to our beliefs, plans, objectives, expectations, anticipations, estimates and intentions. The words "may", "will", "could", "should", "would", "suspect", "outlook", "believe", "plan", "anticipate", "estimate", "expect", "intend", "forecast", "objective" and "continue" (or the negative thereof), and words and expressions of similar import, are intended to identify forward-looking statements.

By their very nature, forward-looking statements involve inherent risks and uncertainties, both general and specific, which give rise to the possibility that predictions, forecasts, projections and other forward-looking statements will not be achieved. Certain material factors or assumptions are applied in making forward-looking statements and actual results may differ materially from those expressed or implied in such statements. We caution readers not to place undue reliance on these statements, as a number of important factors, many of which are beyond our control, could cause our actual results to differ materially from the beliefs, plans, objectives, expectations, anticipations, estimates and intentions expressed in such forward-looking statements. These factors include, but are not limited to: dependence on government-based revenues in Canada; general economic conditions; pending and proposed legislative or regulatory developments in Canada including the impact of changes in laws, regulations and the enforcement thereof; reliance on funding models in Canada; operational and infrastructure risks including possible equipment failure and performance of information technology systems; intensifying competition resulting from established competitors and new entrants in the businesses in which we operate; our ability to complete strategic acquisitions and to integrate our acquisitions successfully; insurance coverage of sufficient scope to satisfy any liability claims; fluctuations in total patient referrals; technological change and obsolescence; loss of services of key senior management personnel; privacy laws; ability to pay dividends in the future; structural subordination of common shares; leverage and restrictive covenants; fluctuations in cash timing and amount of capital expenditures; tax-related risks; unpredictability and volatility of the price of common shares; dilution; and future sales of common shares.

We caution that the foregoing list of important factors that may affect future results is not exhaustive. When reviewing our forward-looking statements, investors and others should carefully consider the foregoing factors and other uncertainties and potential events. Additional information about factors that may cause actual results to differ materially from expectations, and about material factors or assumptions applied in making forward-looking statements, may be found in the "Risk Factors" section of our Annual Information Form, under "Business Risks" and elsewhere in our Management's Discussion and Analysis of Operating Results and Financial Position ("MD&A") for the year ended December 31, 2011 and elsewhere in our filings with Canadian securities regulators. Except as required by Canadian securities law, we do not undertake to update any forward-looking statements, whether written or oral, that may be made from time to time by us or on our behalf. Such statements speak only as of the date made.

Contacts:
CML HealthCare Inc.
Alice Dunning, MBA, CFA
Director, Corporate Communications
(905) 565-0043 ext. 3472
(905) 565-2844 (FAX)
[email protected]
www.cmlhealthcare.com

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...