Case Studies

Unleash Data Potential: Investing in the Right Technology Partners

Move beyond traditional data reporting by effectively exploiting your data with AI and smart analytics to deliver predictive data-driven care. Download the document for advice on selecting the right technology partner to help you:

  • Create a competitive advantage by uncovering waste and unwarranted variability
  • Set a new standard with comparative analytics
  • Deliver transformational improvement—clinically, operationally and financially

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Transforming Data into Value to Improve Workflow and Patient Outcomes

With rising health care costs, the need to increase efficiency and reduce variability across care delivery without sacrificing outcomesis imperative. Download this briefing to discover:

  • What data-driven initiatives are successful in improving patient care and workflow
  • How leaders can engage staff to use data to optimize their performance and engage in cost-control initiatives
  • What obstacles can be anticipated when using artificial intelligence
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Eliminate the Four Major Hurdles Hindering Effective Radiation Dose Management

Four major hurdles prevent you from managing your radiation dose more effectively. Download this checklist to assess how well your current approach is able to:

  • Normalize and map protocol data
  • Avoid false positives and missed alerts
  • Offer insight into lags in scan technique and technologist education

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Solve the Shortcomings of CT Dose Management

Is your dose management good in theory or good in practice? Learn how Imalogix eliminates the major shortcomings of conventional dose management with the next generation of solutions:

  • Automatically normalizes and maps protocols to common protocol terminology for accurate and meaningful benchmarking and performance comparison
  • Prevents false positives and missed dose alerts with a multi-level dose threshold environment sorted by patient size for safety
  • Provides scan technique oversight to signal which protocols are being followed and implement specific training where needed
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Three Simple Steps to Achieve Radiation Dose Compliance

In one robust, yet simple-to-use solution, meet evolving regulatory compliance standards.

Snag your copy to learn how you can:

  • Display a compliance report in one click
  • Avoid risk and improve safety by avoiding sentinel events
  • Immediately uncover where unwarranted variation is occurring
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Your Guide to Achieve Compliance with the Latest TJC Fluoroscopy Standards

Navigate the new 2019 fluoroscopy standards from The Joint Commission with this practical guide:

  • An overview of the fluoroscopy standards
  • How Imalogix readies your organization to meet compliance standards—and beyond
  • How you can save time and resources to meet evolving regulatory standards

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How to Select an Image Quality & Radiation Dose Solution

When searching for image quality and radiation dose management solution, the quality of your vendor selection depends on the quality of your RFP. Draft a strong RFP with this executive guide and learn key questions to ask around:

  • Core and advanced dose monitoring functionality
  • Alert fatigue
  • Planning and implementation support
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Leveraging AI and New Partners in Healthcare Transformation

Through artificial intelligence (AI) and deep learning algorithms from Imalogix, Main Line Health (MLH) has been able to improve imaging quality and safety, as well as workflow efficiency and care affordability. Learn how Imalogix has enabled MLH to:

  • Identify where scanner protocols need modification or staff needs training
  • Pinpoint equipment under/overstaffing to reduce patient wait times
  • Improve care affordability, quality, and safety by reducing unwarranted variation

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Webinars

Leveraging Advanced Analytics to Improve Workflow and Utilization

A Framework to Improve Quality, Efficiency and Patient Satisfaction

This webinar, presented by Timothy P. Szczykutowicz, Ph.D. of University of Wisconsin-Madison, covers:

  • Requirements on stroke timeliness for stroke center designation
  • How advanced analytics can be used to monitor technologist timeliness and effectiveness
  • How to transform a manual quality-monitoring process into an enterprise-wide automated approach
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