CreateASoft, Inc.
The Process Improvement Company
|
 |
|
|
Agenda
|
|
|
|
|
|
|
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 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.
|
|
|
|
|
|
Options
|
- 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®
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
