Companies using McKesson ANSOS

We have found 331 companies that use McKesson ANSOS. Our data for McKesson ANSOS usage goes back as far as 1 years and 11 months.

93% of McKesson ANSOS customers are in United States. Of all the companies that are using McKesson ANSOS, a majority (52%) are large (>1000 employees), 19% are small (<50 employees) and 22% are medium-sized. Looking at McKesson ANSOS customers by industry, we find that Hospital & Health Care (76%) is the largest segment.

Did you know that McKesson ANSOS customers are also likely to use Epic EMR and Epic ClinDoc?

Who uses McKesson ANSOS?

Here are the top companies that use McKesson ANSOS :
Logo Company Website Signal Strength Scan Date
Logo of Kaiser Permanente Inc., McKesson ANSOS client Kaiser Permanente Inc. 2017-08-11
Logo of Inova Fairfax Hospital, McKesson ANSOS client Inova Fairfax Hospital 2017-08-11
Logo of New Hanover Regional Medical Center, Inc., McKesson ANSOS client New Hanover Regional Medical Center, Inc. 2017-08-11
Logo of HealthEast Care System LLC, McKesson ANSOS client HealthEast Care System LLC 2017-08-11
Logo of Meridian Health, Inc., McKesson ANSOS client Meridian Health, Inc. 2017-08-11

McKesson ANSOS Market Share and Competitors in Healthcare

We use the best scanning techniques combined with advanced data science to monitor the market share of over 5,000 technology products, including Healthcare. In the Healthcare category, McKesson ANSOS has a market share of about 0.6%. Other major and competing products in this category include:

Market Share:

331 Companies

What is McKesson ANSOS?

The flagship product of McKesson's Workforce Management Suite, ANSOS One-Staff is an enterprise productivity management system that can help your organization achieve superior patient outcomes by balancing clinical needs with the personal and professional goals of your staff.For more than 28 years, ANSOS One-Staff has helped healthcare staffing management meet budgetary targets and address performance gaps by effectively anticipating clinically relevant workload conditions and making staff scheduling adjustments in real time.