Ambulatory Quality

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Ambulatory Quality

Improve the safety and quality of ambulatory healthcare

Our Ambulatory care solution focuses on two main areas of Ambulatory quality. Population Management or Preventative Care Management and Chronic Disease Management are the focal point of Fusion’s Ambulatory care analytic solutions. Data, strategy, and collaboration are key to improving the efficacy of care provided to improve outcomes and reduce the cost of managing large patient populations.

In an everchanging healthcare environment Fusion’s Ambulatory care focuses on the resolution of care gaps and the improvement of clinical practice guidelines for continual improvement with Population Health Management and Chronic Disease Management. Our solution helps identify care gaps thus mitigating the opportunity for adverse events and provide data for several quality improvement programs such as HEDIS, Medicare STAR, Accountable Care Organizations (ACO), and PQRS.

Improving preventive care and on-going ambulatory care of chronic disease patients improves patient outcomes and reduces hospital visits and cost. Different Ambulatory care programs are vital to payor contracts and incentives. Problem areas of ambulatory include:

  • Poor Management of Chronic Disease Populations
  • Increased frequency of Hospital and Emergency Department admissions
  • Poor community and population outreach
  • Increased gaps in patient care
  • Delays in treatment and preventative care
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Benefits of Fusion Solution include:

  • Gaps in Population Health metrics. Identifying patients who need outreach or resolution of care gaps
  • Pre-built metric definitions with data points needed to help improve speed to deliver reporting
  • Population Health Management metrics (for ACO and Clinically Integrated Networks also)
  • Pay for Performance
  • HEDIS metrics
  • PQRS
  • Medicare STAR reporting
  • Care Management
  • Evaluate and reduce Health risks
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Patient Cohort - All patients who scheduled an ambulatory appointment or have a scheduled ambulatory procedure.

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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