Our SRI engagements have discovered in no particular order:

1. EMR's are doubtless necessary...but they must be open.  Do not purchase an EMR system where the provider somehow thinks they own your data (2004).
2. Up to 75% of the primary care visit load can be handled by lower cost mid-tier providers (PA's, NP's, RN's) but this varies by consumer segment (e.g. by relationship, speed, service), by type of visit (acute/chronic) and by pediatric vs. adult medicine.
3. Consumers will easily accept a centralized call center. Configuration of that call center is critical so that it adds value and is not merely a cost-saving device.
4. An NPV (Net Par Value) market simulators best solve for the service level changes that will maximize value to the customer at the minimum cost to implement.

• Gets Down to the Bedrock - the Real "Key Drivers": via adaptive pairwise trade-off which whittles down the factors (attributes) that really move the needle.
• Industry-Leading Accuracy in Quantifying Those Key Drivers : via a proprietary, convergent, utility calculation process.
• Produces Strategies That Maximize Bang for the Buck: via our goal-solving simulator.
• You Get the Fishing Pole, Not Just the Fish: By capturing what's important to the consumer in the simulator - we no longer need to create endless surveys.  This allows the simulator to discover which products  consumers will buy/retain, etc.
• Generates the Most THOROUGH Recommendations.: Because our goal-solving simulator tests hundreds of millions of strategies to discover those that meet YOUR criteria (e.g. the feature changes that maximize revenue at lowest cost).

• Re-engineer primary care, cardiology, neurology, oncology and orthopedics healthcare lines to better meet patient preferences while lowering cost-to-serve and maintain.
• For each healthcare line:
  • Identify "trade-offs" ...the drivers that are most important.  Improve those  and de-service the less important attributes. This lowers the overall cost-to-serve.
  • Identify new delivery configurations that will increase preference for non-customers.
  • Identify blunting strategies; strategies that blunt competitive encroachment.
  • Identify optimal service configurations that will better retain existing patients.
  • Identify the most distinctly different patient segments in each healthcare line and the best ways to deliver service to each segment at the lowest cost.
  • Re-engineer the go-to-market strategy for each healthcare line.

• Meeting the actual "buyer values" of patients grows healthcare quality  an average of 10% on key NHCQ metrics, and saves delivery costs by an average of 5% per line.
  • Identified "trade-offs" attributes, drivers we that are differentially more important.  Improved those while de-servicing other saved 5-7% for each business line.
  • Tested over 200,000 new delivery configurations in the simulator and identified:
    • New delivery configurations that will grab preference share for not-in-system patients.  Implemented the best one for all lines.
    • Optimal service configuration that will retain consumers.
    • Competitive blunting strategies that grabbed share from new "encroachers".
  • Identified the most distinctly different patient segments in each healthcare line and how best to deliver service to each segment at the lowest cost.
  • Re-engineered the go-to-market strategy for each healthcare line.
• Main Segments: Cost, Speed, Personal Time/Relationship, Advanced Care

• Adaptive Pairwise Trade-off Surveying: reproduces the real-world trade-offs and learns from prior answers to customize the survey to each consumer.
• Advanced Algorithms Find What Is Truly Important: Hundreds of combinations algorithms, sub-algorithms, iterations, weighting of survey sections uncovers the "utilities" that result in the simulator making the same choices as the consumer.
• SegmentSolveTM: Uses 13 separate algorithms to converge upon the most highly separated consumer segments.
• ProductSolveTM: a goal-solving market simulator.  By capturing values (what's important to the consumer) we no longer need to create endless surveys.  Instead we create new products  in the simulator (by what-iffing or goal solving)  to discover which healthcare line changes consumers will prefer and which will minimize cost AND improve healthcare quality.
• PositionSolveTM :visualizes the positioning of each competing healthcare system and discover how to move into innovative but currently unpopulated areas of demand.

• Gets Down to the Bedrock - the Real "Key Drivers": adaptive pairwise trade-off whittles down the factors (attributes) that really move the needle for real-world outcomes.
• Industry-Leading Accuracy in Quantifying Those Key Drivers : uncovers the "utilities" that result in the simulator making the same choices as the consumer (via hundreds of discrete combinations of algorithms, iterations, weighting of survey sections, etc.)
• Produces Optimal Strategies That Maximize Profit: via goal-solving simulators.
• You Get the Fishing Pole Not the Fish: By capturing values (what's important)  we no longer need to create endless surveys.  Instead we create new products  in the simulator to discover which products  consumers will buy and which will maximize customer retention.
• Generates the Most THOROUGH Recommendations.: Because our goal-solving simulator tests hundreds of millions of strategies to discover the ones that meet YOUR criteria (e.g. the feature changes that maximize revenue at lowest cost to implement).

• Meeting the actual "buyer values" of patients grows perceived healthcare quality (acquisition) by up to 15%, saves the delivery cost of primary care by 5%.
  • Saved 5-7% for each business line. by identified differentially more important."trade-offs" attributes.  Improved those while de-servicing others.
  • Tested over 200,000 new delivery configurations in the simulators and identified:
    • New delivery configurations that improved preference share.
    • Optimal service configuration that will retain consumers.
    • Optimal blunting strategies that blunted "encroachment from competitors.
  • Identified the most distinctly different patient segments and how best to deliver service to each segment at the lowest cost.
  • Re-engineered the go-to-market strategy for primary care.  Result: a new, more streamlined patient experience.  Decreased waiting room time by 70% on average.
• Main Segments: Cost, Two Types of Speed, Personal Time/Relationship, Advanced Care

• Adaptive Pairwise Trade-off Surveying: reproduces the real-world trade-offs and learns from prior answers to customize the survey to each primary care consumer.
• Advanced Algorithms Find What Is Truly Important: Hundreds of combinations algorithms, sub-algorithms, iterations, weighting of survey sections uncovers the "utilities" that result in the simulator making the same choices as the consumer.
• SegmentSolveTM: Uses 13 separate algorithms to converge upon the most highly separated primary care segments.
• ProductSolveTM: a goal-solving market simulator.  By capturing values (what's important to the primary care consumer) we no longer need to create endless surveys.  Instead we create new products  in the simulator (by what-iffing or goal solving)  to discover which changes will minimize cost AND maximize primary care preference and quality.
• PositionSolveTM :visualizes the positioning of each competing primary care system and discover how to move into innovative but currently unpopulated areas of demand.

• Gets Down to the Bedrock - the Real "Key Drivers": adaptive pairwise trade-off whittles down the attributes that really move the needle for any of 12 real-world outcomes.
• Industry-Leading Accuracy in Quantifying Those Key Drivers : uncovers the most accurate "utilities." This allows the simulator to make the same choices as the primary care consumer.  (via advanced algorithms,, weighting of survey sections, etc.)
• Produces the Optimal Bang for the Buck Strategies: via cost-informed goal-solving.
• You Get the Fishing Pole Not the Fish: By capturing values (what's important)  we no longer need to create endless surveys.  Instead we create new products  in the simulator to discover which products  consumers will buy and which will maximize retention.
• Generates the Most THOROUGH Recommendations.: Because our goal-solving simulator tests hundreds of millions of strategies to discover the ones that meet YOUR criteria (e.g. the feature changes that maximize revenue at lowest cost to implement).

• Lower cost of traditional consulting Predictive Analytics by 90% and traditional EMR-based PA solutions by 80%.
• Improve PA in Healthcare systems so as to:
  • Continuously predict the most frequent 2000 CPT diagnostic codes.
  • Continuously apply human rule-based insight (HRBI ) to predict those same CPT codes.  This develops  parallel predictive models alongside PA models.
  • Arbitrate between PA and HRBI models to yields models that combine "the best of both worlds" (PA  plus human insight).
  • Combine RT acute care medical monitoring + historical data mining to issue alerts to acute care personnel of impending coding or "out-of-family" readings.
  • Perform automated reporting across all visits to meet emerging NQF standards.
  • Big Data Predictive Analytics to predict patient payment performance.

• The precursor system PA system to ASCLEPIUS (MiningSolve) has been deployed at four Fortune 500 companies and has identified hundreds of millions of dollars in actionable dollar opportunity recovery,.
• The ASCEPIUS system is currently in Phase I pilot.
• To become a zero cost pilot site for ASCLEPIUS, contact info@decisionsupportsciences.com or call 630 (428-1847).

• Continuously improves Predictive Analytics (PA) models to predict the most frequent 2000 CPT diagnostic codes.
• Continuously apply human rule-based insight (HRBI ) to predict those same CPT diagnostic codes.  This provides predictive correspondence.
• Predict undiscovered disease in asymptomatic patients by arbitrating between PA and HRBI models to combine "the best of both worlds."
• Combine RT networked acute care medical monitoring + historical data mining to issue alerts to acute care personnel of impending coding.
• Perform automated reporting to meet emerging NQF standards.
• Big Data Predictive Analytics to predict patient payment performance.