Readmissions Reduction

Critical Care
January 22, 2018
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Readmissions Reduction

“Why” readmission and what are the common reasons for readmission

  • Readmission reason and Length of Stay impact
  • Statistical data for outpatient surgery
  • Study causes and most frequent reasons for readmissions
  • Analyze readmissions by service and treatment and DRG and diagnosis
  • Drill down into details
  • 7-30-90 days readmission evaluation
  • CMS exclusions applied
  • Non-CMS custom exclusions also applied
  • Across all service lines and the Health System for consolidated analytics
  • Align Clinical Programs and Focus to Health Systems for improvement
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Benefits of Fusion Solution include:

  • Readmission reasons and impact
  • Statistical data for readmissions for outpatient surgery
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Patient Cohort - All inpatient admissions where the patient is discharged alive, not to another hospital and not with a planned readmission.

Step 1: Assess

  • Collaboratively set goals and objectives to deliver required outcomes for finalization for the program.
  • Identify and assess criteria for calculating a Return on Investment for the program.

Step 2: Examine and analyze relevant data points

  • Workflows analysis for the relevant data points include – clinical documentation, flowsheets, Best Practice Alerts, Medication Administrations, Navigators, Smart forms, ADT
  • Identify discrete data points to examine for data inconsistencies.
  • Optimize the workflow for process improvement based on Best Practices.
  • Define the necessary documentation standards to reduce data inconsistencies.
  • Order sets and groups to provide for the right care at the right time.

Step 3: Orchestrate, Blend & Synthesize

  • Coordinate EHR optimization to help Physicians, Specialists, Care Providers and Care Mangers.
  • Enable & organize to unlock the current data infrastructure based on data elements to implement a governed approach to analytics based on established project/program objectives and goals

Step 4: Optimize (user behavior analytics from above icon group)

  • Help validate the workflows and train end users during the acceptance and transitory phase to help drive adoption.
  • Suggest and recommend further refinement, if needed, based on specific organizational needs.

Step 5: Adopt

  • Provide Visualizations from extended data analytics infrastructure to help sponsors and committees drive the outcome objectives and goals.
  • Provide analytics for Clinical Efficiency teams to help derive the most value from adherence to shared baseline protocols (clinical guidelines for acute or chronic disease management), if applicable
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