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Modelling as an innovation tool Modelling as an innovation tool - - PowerPoint PPT Presentation

Modelling as an innovation tool Modelling as an innovation tool Digital methods for better decisions Digital methods for better decisions Ian Gibson and Peter Bodon of Digital methods for better decisions Modelling as an innovation tool


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Digital methods for better decisions

Modelling as an innovation tool

Ian Gibson and Peter Bodon

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Digital methods for better decisions

Modelling as an innovation tool

Digital methods for better decisions

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Digital methods for better decisions

Modelling as an innovation tool

Health

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Digital methods for better decisions

Modelling as an innovation tool

Limits of current methods: Benchmarks, rules of thumb – relevance with rapid change???

  • Use of average

Fragmented consideration of facility design

  • rganisational change

information and communications technology Lean methods Quality management Models of care – limited consideration of resources, variability. Oversimplification Health is a complex system that is dynamic, interdependent, variable and resource dependent. Health relies on communication and information flows.

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Digital methods for better decisions

Modelling as an innovation tool

“We can't solve problems by using the same kind of thinking we used when we created them.” - Albert Einstein

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Digital methods for better decisions

Modelling as an innovation tool

Leading US Nurses concluded from a study of nursing practices in wards that: “A holistic approach is needed whereby people, process, and technology come together harmoniously in a physical space to produce the maximum medical-surgical unit efficiency.”

(Reference: A 36-Hospital Time and Motion Study: How Do Medical-Surgical Nurses Spend Their Time? The Permanente Journal/ Summer 2008/ Volume 12 No. 3)

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Digital methods for better decisions

Modelling as an innovation tool

Approach is a design method using: Systems thinking Data analytics Computer simulation Project management Change management Facilitation Enables

Thorough understanding of current system and likely future demands. Testing of the options – “what if scenarios” using same criteria as finished facility – before design is complete

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Digital methods for better decisions

Modelling as an innovation tool

Computer simulation

Computer simulation uses mathematics and logic to construct virtual models of real systems. The models enable understanding of the system and experiments to develop optimised systems. Car crash performance

“Computer simulation is this mind-blowing advance that will increase the rate of innovation.” - Bill Gates

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Digital methods for better decisions

Modelling as an innovation tool

“Computer simulation is this mind-blowing advance that will increase the rate of innovation.”

  • Bill Gates
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Digital methods for better decisions

Modelling as an innovation tool

References on systems engineering approaches in healthcare

Building a Better Delivery System: a New Engineering/Health Care Partnership. Proctor, P., et al., et al. Washington D.C. : National Academy Press, 2005. President’s Council of Advisors on Science and Technology. Report to the President Better Health Care and Lower Costs: Accelerating Improvement through Systems Engineering. Washington D.C : s.n., 2014.

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Digital methods for better decisions

Modelling as an innovation tool

  • Only design method which considers the whole system.
  • Enables a shared understanding of the system by clinicians and managers.
  • The impact of changes to any part of the system can be evaluated in terms of
  • capital and operating costs
  • health services performance can be evaluated.
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Digital methods for better decisions

Modelling as an innovation tool

Healthcare delivery system

Logistics Medical Technology Staffing Communications technology Operating protocols Patient journey Metrics Facilities People People

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Performance Dashboard

Evaluate options using same parameters for full scale operation.

PSA enables better decisions by using Predictive Simulation and Analytics.

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Digital methods for better decisions

Modelling as an innovation tool

Computer simulation

Experiment in a risk free space

?

The solution The model The solution at the model level The real world The world of models

Risk free experimentation

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Digital methods for better decisions

Modelling as an innovation tool

How does computer simulation relate to digital data ?

For

  • resig

ight Valu lue

  • Data Gathering
  • Curation
  • Reporting

Prescriptive

Business outcome

Search for best outcome / predict ‘real world’ performance potential for unseen system configurations > Identify best course of action (local or across a value chain) Predict or classify outcome based on past performance > Focus decision making / support Structured detailed analysis of past performance > Identify factors and causes (typically local)

  • Dashboards
  • Monitoring
  • Alerts
  • Advanced Statistics
  • Machine Learning
  • Big Data

Simulation and Optimisation

Predictive Diagnostic Descriptive Aggregated and consumable data > Understanding past performance

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  • Predictive Analytics
  • A methodology,

– Not technology applications

  • Compliments and supercharges

Lean, 6 Sigma, TOC methodologies

  • Risk free “Clinical trial” for

system design

Unifying Technology

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Reduce costly iteration

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Digital methods for better decisions

Modelling as an innovation tool

Model of innovation

Source: Diffusion of Innovation in Service Organisations: Systematic Review and

  • Recommendations. Greenhaigh, Trisha , et

al., et al. 4, s.l. : Blackwell Publishing, 2004, The Milbank Quarterly, Vol. 82, pp. 581-629.

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Digital methods for better decisions

Modelling as an innovation tool

Process – ideas to implementation

Organise stakeholders and decision -makers Experiment to create better system Develop and evaluate design

  • ptions

Model existing system Agree brief for schematic design Implementation planning

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Digital methods for better decisions

Modelling as an innovation tool

Technical specialists Computer Simulation Engineers Project Managers Clinicians and Managers

Interaction enabling exceptional healthcare

Stakeholder relationships

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Digital methods for better decisions

Modelling as an innovation tool

Data analytics

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Digital methods for better decisions

Modelling as an innovation tool

Arrivals data

Patient data for 41 months – 161,000 attendances

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Digital methods for better decisions

Modelling as an innovation tool

Arrivals data

Average arrivals per hour for all attendances peak at 8 – 9 arrivals per hour between 10:00 and 20:00 But what are the peak arrival rates???

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Digital methods for better decisions

Modelling as an innovation tool

Peak arrivals data

Peak arrivals per hour for all attendances peak at 11 – 21 in a range between 18 and 22 arrivals per hour

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Digital methods for better decisions

Modelling as an innovation tool

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Digital methods for better decisions

Modelling as an innovation tool

Patient Steams

Attendances per annum Patient groups

Urgency category Paediatrics 15 - 34 35-65 Over 65 Total 1 53 99 137 159 449 2 779 1,296 2,410 2,241 6,725 3 2,728 4,198 4,635 4,002 15,562 4 5,857 7,485 6,166 3,537 23,044 5 650 1,103 803 240 2,797 Total 10,067 14,181 14,151 10,179 48,577

Treatment stream

Resuscitation 53 99 137 159 449 Paediatrics 10,013 10,013 Emergency 1,296 ,410 2,241 5,946 Acute 4,198 4,635 8,832 Short stay 7,539 7,539 Fast track 8,588 6,969 240 15,798 Total 10,067 14,181 14,151 10,179 48,577

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Digital methods for better decisions

Modelling as an innovation tool

Paediatrics

Factor Number Number of patients 10,013 Ambulance arrivals 6% Private arrival 94% Police arrival 0.1% Admitted 14% Discharged 86% Hours of day Distribution Parameter 1 Parameter 2 00 to 6 Negative binomial 4 0.918 7 Negative binomial 8 0.956 8 to 15 Negative binomial 13 0.907 16 to 21 Negative binomial 32 0.943 22 Negative binomial 84 0.896 23 Negative binomial 6 0.871

00:00 to 6:00 7:00 8:00 to 15 16:00 to 21:00 22:00 23:00 3 patients per hour

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Digital methods for better decisions

Modelling as an innovation tool

Communication survey

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Digital methods for better decisions

Modelling as an innovation tool

Communications data

  • Collected by Cisco
  • 6 days of study (Monday through to

Saturday)

  • 96 hours of observation across all roles
  • 1721 Communication events recorded
  • Broad coverage of all the major ED roles
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Digital methods for better decisions

Modelling as an innovation tool

Communications process

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Digital methods for better decisions

Modelling as an innovation tool

Fast track patient - consultation

Process mapping for each patient stream

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Digital methods for better decisions

Modelling as an innovation tool

The Model

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Digital methods for better decisions

Modelling as an innovation tool

Validation

  • Validation is checking the model is a

reasonable representation of reality.

  • Graph compares the actual NEAT

performance (brown line) with the result of the model performance.

  • Comparison of actual 76% compared

with the model of 79%

  • Difference of 3% is within the ball

park

Modelled current NEAT without improved communications technology Actual NEAT

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Digital methods for better decisions

Modelling as an innovation tool

Length of Stay

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Digital methods for better decisions

Modelling as an innovation tool

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Le Length of f Stay by Pati tient Type

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Digital methods for better decisions

Modelling as an innovation tool Communication Technologies

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Impact of ICT mix on Hospital Performance

Communication Description Face to Face Direct person to person communication – both people in the same location Centralised data exchange Delivery or collection of information at a prescribed location (eg. Computer entry at fishbowl) Distributed data exchange Delivery or collection of information at the point of activity (eg. The use of mobile devices (table / phone etc.)) Direct messaging Sending / receiving information via asynchronous electronic methods (eg. Text or IM, message boards etc.) Mobile communications Direct communications in which both parties are engaged but not necessarily in the same location (eg. Mobile phones, video calls etc.)

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Digital methods for better decisions

Modelling as an innovation tool

Im Impact of f ICT ICT mix ix on Hospital Performance

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Technology mix scenario 1 2 3 4 Face to Face 65.0% 60.0% 57.0% 53.0% Centralised data exchange 31.0% 25.0% 20.0% 14.0% Distributed data exchange 0.0% 10.0% 16.0% 21.0% Direct messaging 1.0% 1.5% 3.0% 7.5% Mobile communications 3.0% 3.5% 4.0% 4.5%

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Digital methods for better decisions

Modelling as an innovation tool

  • Un-validated model but directionality and delta is informative
  • George Box: “All models are wrong but some models are useful”
  • Changes to technology mix and adoption demonstrate sensitivity
  • Reducing the total time spent on communication activities provides benefits in

terms of:

  • Reduction of non-value add communication time
  • Increase in practitioner time for value add activites (eg time with patients)
  • Reduction in Length of Stay and commensurate increase in NEAT performance
  • Anecdotally this would improve patient experience with all of the associated knock-on

benefits

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Remarks

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Digital methods for better decisions

Modelling as an innovation tool

  • Model early – model often
  • Engage all stakeholders of a complex system
  • Breakdown the silos
  • Build confidence in planned changes
  • Clearly define what “good” looks like
  • Measure everything – now!
  • Simulation Analytics makes for better decisions

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Lessons le learnt from over 20 years of in industria ial applic lication

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Contact

Thank you

Peter Bodon

peter@predictivesimulationanalytics.com 0407 048 899

Ian Gibson

ian@predictivesimulationanalytics.com 0423 843 697

Predictive Simulation Analytics