01 Edge Health Using R and Shiny to improve hospital operations
01Edge Health Using R and Shiny to
improve hospital operations
Edge Health: What we do
Use data science to support operational improvement of hospitals
• Background on NHS’s challenges for analytics
• Why R and Shiny are great to tackle these
• Case studies
• Take-aways
Agenda
Divergence in resource between Medical and non-medical IT…
Operational support limited vs.Clinical machinery top notch
• Many IT systems • Poor data/ data entry• Busy staff/ firefighting• Continuous reporting
… Leads to key challenges
Case for R• Can easily integrate with many systems• Can easily build dashboards combining data• Sophisticated analysis with various packages
can lead to good results• Mark down and similar can lead to continuous
reporting
Case for R to address them
→ Will highlight how these play out in practice in the case study
?
Case study 2: Operations
Blocks of free time across 30theatres in 2017 in sample hospital
Multiple IT systems
Consultant Preference
Constant interruptions
HolidayPaper
records
Case study 2: How does an operation get booked?
ff
Hard problem to solve!
• Get data from multiple IT systems
• Predict how long operations take and where there is free space using R
• Disseminate daily reports via markdown + email (from R)
Case study 2: What can we do?
Where’s the space?
Who could fit in?
Data
Surgeons on-board
Empowered managers
Space Finder Daily
meetings at “the wall”
Implementation hurdles!
Blue Tack
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Cases within hoursCases out of hoursAvg. before and afterAvg. before and after
Results
Elective cases completed in and out of hours
at ST NHS FT 2017 (weekly)
Take-aways
• Don’t be discouraged by IT and data limitations
• Now is the time for novel methods to drive change
• Explore creative reporting options
• And…
Take-aways