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

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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?

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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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ases

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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

Christian MoroyCTOchristian@edgehealth.co.uk

Thank you!

Amina HassanalyImplementation SpecialistAmina@edgehealth.co.uk