Pediatric Respiratory

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Pediatric Respiratory

Our Pediatric Respiratory solution is segmented into Asthma, Bronchiolitis and Pneumonia.

We dive into the details of bronchodilator and steroid ordering, administration and management. This solution also provides data for the management of intravenous and oral antibiotic medications for patients with a diagnosis of pneumonia.

Below is a snapshot of metrics and data elements captured in the Pediatric Respiratory solution.

Asthma

  • Time from arrival to beta-agonist
  • Time from arrival to corticosteroid
  • Percentage of patients receiving corticosteroid
  • Length of stay
  • Readmissions

  • Bronchiolitis

  • Length of stay
  • Mortality
  • Time from arrival to antibiotic
  • Time from arrival to corticosteroid
  • Mechanical ventilation utilization

  • Pneumonia

  • Length of stay
  • Mortality
  • Time from arrival to antibiotic
  • Mechanical ventilation utilization

  • Efficient use of ventilators

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    Benefits of Fusion Solution Include:

    • Assessment of turnaround times for bronchodilator, steroid and antibiotic administration
    • Provides Pediatric clinicians and healthcare leadership with analytical tools and reports to substantiate or change processes and workflows
    • Customized visualizations designed to provide an efficient overview of the clinical data and monitor patient outcomes over time.
    • Lab orders optimization to ensure larger than needed panels are not ordered
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    Patient Cohort - Hospital visits for patients with the diagnosis or DRG (three different programs)

    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 approximately 25 data points

    • Workflows analysis for 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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