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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