Critical Care

Readmissions Reduction
January 21, 2018
Enhanced Recovery After Surgery (ERAS)
January 23, 2018
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Critical Care

Utilize your data to support decisions in the intensive care unit

Critical care units cater to patients with severe and life threatening injuries or illnesses. Due to the severe nature of the patient's condition, constant monitoring and support must be maintained to ensure normal bodily functions. The use of analytics and tools can be instrumental in making timely and efficient decisions.

Patients in the ICU are often the most vulnerable and subject to sudden change. Changes in their conditions are difficult to predict, especially if data is not being utilized.

Our solution utilizes several reports giving insight into patient's condition and the steps taken to manage their health. Time from ED Admission to ICU Admission.

Our solution's reporting also display various cost data such as 30 day total costs and medicare free days. ICU Admissions, Readmissions, Length of Stay, as well as adjusted reports are also available.

  • Measure and Manage ICU Length of Stay
  • ICU Readmissions Rate reduction
  • Reintubation
  • PPI Metrics
  • ABCDE & F
  • Benchmarking each critical care specific to Vizient benchmarks
  • Related health outcomes to be considered include: Ventilator, Sepsis, CHF, POKE-R, Stroke
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Benefits of Fusion Solution Include:

  • Retrospective analysis of core ICU metrics
  • Provides Critical Care clinicians and healthcare leadership with analytical tools and reports to substantiate or change processes and workflows
  • Customized visualizations designed to provide an efficient over view of the clinical data
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Patient Cohort - Encounters where the patient was admitted to the ICU at any point during the encounter.

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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