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Clinical Optimization Services 2020 Clinical Optimization Services 2020
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Clinical Optimization Services 2020
Who Can Help Pull the Right Levers to Accelerate EMR Value?

author - Warren Whitford
Author
Warren Whitford
 
May 26, 2020 | Read Time: 6  minutes

Current Time Inside Cache Tag Helper: 10/19/2021 9:02:50 AM and Model.reportId = 1692

Nearly all healthcare organizations today have implemented an EMR, but many clinicians express dissatisfaction with their system’s workflows and overall usability. This often stems from gaps in training and customization, which aren’t always prioritized during the initial implementation. Regardless of the reason, these issues contribute to poor EMR adoption and clinician burnout. To solve these problems, clinical optimization services firms offer three key levers proven to help organizations realize the promised value of their EMR: (1) workflow refinement, (2) application enhancement, and (3) clinician training.

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Current Time Inside Cache Tag Helper: 10/19/2021 9:02:50 AM and Model.reportId = 1692

Key Findings

  1. In High-Scoring Field, Chartis is Best in KLAS (Serving Cerner/Epic Health Systems)
  2. Three Levers of Optimization
  3. Effects of Clinical Optimization on Clinician Experience
  4. Workflow Refinement
  5. Chartis, Nordic Clients Praise Epic Expertise and Strategic Role
  6. Application Enhancement
  7. Impact Advisors' Methodology Drives Satisfaction
  8. Clinician Training
  9. Atos' Technology-Enabled Training Brings High Value
  10. Firm Profiles
author - Amanda Wind Smith
Writer
Amanda Wind Smith
author - Madison Fujimoto
Designer
Madison Fujimoto
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This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2021 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.