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Corporate Overview

Improving Productivity and Outcomes through Actionable Analytics

HealthLevel Inc., founded in 2010, is focused on improving productivity and outcomes. FOUNDATIONS™ is our flagship product, available for customers in specific subject matter areas to provide analytics and empower data driven management.

White Papers

Making Data-Driven Business Decisions Across the Medical Enterprise: Challenges and Impact

Read this white paper to learn how business analytic tools can promote confidence in the information and facilitate in-depth discovery, understanding and consequential behavioral change.

Enterprise White Paper

Read this white paper to learn how healthcare leaders across the enterprise can overcome the technology challenges common to enterprise analytics to make more effective data driven decisions.

Radiology White Paper

Read this white paper to learn how real-time, self-service analytics can drive change that produces clinical, financial and operational improvements.

Case Studies

Veterans Administration National Teleradiology Program (document & video)

Read this customer case study to learn how the VA National Teleradiology Program succeeding in providing a high quality teleradiology service across the VA systems using FOUNDATIONS™ Radiology. The video summarizes how the VA National Teleradiology Program improved the quality of their teleradiology service across the VA systems using FOUNDATIONS™ Radiology. To learn more read the full case study.

Subject Matter Briefs

Physician Engagement

Physicians need insight to quickly and easily understand what works well and what does not. Read this subject matter brief to understand how physician engagement can benefit.

Clinical Surveillance and Audits

Anesthesiologists, clinical staff and administration must continually monitor appropriateness and outcomes for clinical safety audits, routine surveillance, and education.

Inventory Management

There are many inventory management systems that allow departments to understand inventory consumption, however they can not integrate with multiple systems in real-time to provide actionable insight.

Computing Scanner Idle Time and Models

Management expects to make equipment utilization decisions based on fluctuating patient volumes, competitive needs and routine end-of-life equipment replacements or upgrade

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