Ambulatory SchedulingFebruary 21, 2018
Pediatric RespiratoryFebruary 21, 2018
An analytic clinical program that will provide the necessary data elements clinically recommended to identify and treat severe sepsis and septic shock.
Fusion participated with a charter hospital in the "Improving Pediatric Sepsis Outcomes” effort with the Children’s Hospital Association. The program tracks the times at which medical interventions are performed. This data will help to identify potential barriers and trends in treatment plans once Sepsis protocol begins.
The improvement of Sepsis protocol workflows impacts notable hospital KPI’s such as length of stay, readmissions, and mortality rates.
- This is among the most expensive DRG in most hospitals
- Highest opportunity to reduce mortality
- Improve length of stay
- Reduce readmission, resulting in cost reductions
- Improves core measures
- Potential protocols improvement
Benefits of Fusion Solution include:
- Applicable for all participants in Improving Pediatric Sepsis Outcomes (IPSO) Collaborative
- Implemented for and automated for a Collaborative Member based on guidelines
- Data specifications were iteratively worked with CHA through prior implementation
- Complex implementation shortened based on prior experience with CHA Sepsis Collaborative member’s specifications
Patient Cohort - Acute hospital encounters for children with severe sepsis, septic shock or sepsis (measures differ between severe sepsis and sepsis). We do look at clinical events not just coded DRG to determine cohort.
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 90 data points
- Workflows analysis for data points include – emergency department, 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