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Increasing Efficiency while Minimizing Risk Powered By Simcad Pro® Dynamic Simulator
CreateASoft, Inc.
The Process Improvement Company
Operational Quality
    Operational Quality Relates to every aspect of the organization and defines the level of interaction and harmony among processes.
  • Effect of Operational Quality on the Organization A low OQ in bed allocation can create problems in the ED area rendering the ED incapable of operating effectively.

  • Managing OQ in healthcare poses additional challenges due the highly interactive and variable nature of the process chain.
Measuring Operational Quality
  • Efficiency is the key measure for Operational Quality. An efficient organization indicates that
    • Processes interact effectively.
    • Communication is well defined.
    • Customers enjoy a positive experience.
    • Picking/Receiving/Put away/Replenishment are coherent.
    • High profitability.
  • Lean Concepts applications
    • Lean Concepts normally measure process level efficiency with minimal impact on global efficiency.
    • Improving efficiency in one area should not impact negatively the overall measure, and any change effect should be analyzed throughout the process sequence.
Measuring Efficiency
  • Patient perspective, Efficiency is the ratio of
    Total Time Receiving Care/ Length of Stay
    • If care is provided as soon as the patient is ready, and the quality of care does not decline, the operation would be highly efficient.
  • Provider perspective, Efficiency is
    Total Time Providing Care / Shift Duration.
    • Applies to individuals, departments, labs, etc.
  • Management perspective, Efficiency is measured as the combination of both;
    • An efficient provider base combined with expedient quality care generates the most efficient operation.
Measuring Provider Efficiency
Healthcare Challenges
  • Challenges to improving efficiency in healthcare systems
    • Processes interact effectively.
    • Area demographic and seasonality.
    • Managing the unexpected.

  • Lack of defined time standards.
    • Every patient requires a different “time of care” even with similar symptoms.

  • External factors
    • H1N1, outbreaks, disasters, …
Solution Requirement
  • Must be able to Visualize and Analyze the current operation.
    • Analysis is used to identify areas of maximum impact (best ROI).
    • Visualization communicates and conveys the benefits of the analysis.
  • Data Availability
    • Analysis must be performed based on accurate data representation.
    • Distribution based analysis suffers from large approximation.
      • Provides a global direction and not actual improvement.
    • Real Data provides accurate representation, with variability implemented as a distribution.
  • Human Capital — Leverage available talent, gain buy-in.
  • Traditional Approach
  • Dynamic Simulation®
  • Dynamic Analysis and Live Tracking
Traditional Approach
  • Spreadsheet based analysis
    • Limited, does not factor time into analysis.
    • Overly complex.
  • Traditional Simulation Tools
    • Code heavy environment.
    • Often fail to complete.
    • “Expert” required to perform any analysis.
  • Physical Simulations.
Dynamic Simulation®
  • Dynamic Simulation® uses interactive on-the-fly technology;
    • Enables any member of the team to experiment and provide new ideas.
    • Highly visual, and interactive environment.
    • Enables creativity and ownership of new solutions.
    • Data analysis is simplified to be useful to non-statisticians.

  • Dynamic Simulation® provides the required statistical views to compare and analyze improvement and effect of change.

  • Dynamic Simulation® can connect to live data streams.
Dynamic Simulation®
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Dynamic Analysis and Live Tracking
  • Dynamic Simulation® & Connectivity to live data
    • Connect to EMR Systems.
    • Connect to RFID systems.
      • Equipment RFID tracking can be visualized / analyzed in real time.
      • Connectivity to HR systems.
    • Connectivity to Barcode systems.

    • Drives the Continuous Improvement Principle and enables organizations to be proactive in OQ monitoring.
Tracking Technologies
  • Barcode
    • Simple, cheap, and proven technology.
    • Requires man power and is prone to error (missed scans).
  • Active RFID
    • Battery powered devices sending signals at different intervals.
    • Expensive, technology is not yet suitable for tracking
      • Positioning is area based, 15ft radius is standard.
      • Interference and infrastructure requirements.
Tracking Technologies (2)
  • Passive RFID tags
    • Relatively inexpensive, proven technology used effectively in different industries.
    • Fast forward/Rewind — DVR like controls.
    • Requires either scanners or specialized antennas.
    • Can be accurate to a foot.

  • EMR data
    • EMR contains patient, and provider positioning data, provided that it is properly used.
  • Simple connectivity (Read Only) and accurate data.
Tracking Providers
  • Benefits of tracking providers
    • Improved visibility. The problems could be related to the tasks assigned or distance travelled.
    • Improved and more complete data analysis.
    • Better scheduling capability.
Provider tracking may be performed in phases. Some resistance may be encountered.
Value of Replay with Analysis
  • Replay provides a functionality to visually review old data.
    • Play the data like a DVR, rewind, forward or replay a specific moment in time.
  • During replay, the model can be switched to simulation mode
    • All collected data is imported in the model — no need for extensive time studies.
  • Play what if scenarios on the model, analyze improvements, and create “Things to Avoid” processes.
Dynamic Resource Allocation
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Supply Chain Support
  • The tracked data is used to identify supply chain patterns and replenishment requirements within the hospital.
    • Based on the EMR data, the store content, historical performances and forecasted values, an accurate replenishment request can be automatically triggered.

    • Replay with Analysis can also be used to optimize supply chain paths, replenishment quantities, and other factors.
Live Tracking
Dynamic Analysis and Live Tracking
  • Remote monitoring is achieved by
    • Monitoring individual departments.
    • Monitor the overall operation.
  • With internet connectivity, remote monitoring can be performed through secure connections to the internal network.
Tracking Technologies
  • Real-Time Visibility and Remote Monitoring.
  • Proactive Analysis and Forecasting
    • Predict potential OQ issues before they occur.
    • Dynamic Staffing management.
    • Proactive Scheduling.
  • Replay with Analysis
    • Battery powered devices sending signals at different intervals.
    • Expensive, technology is not yet suitable for tracking
  • Automated Alerts