Forecast clinic attendance

The headline stats

80
%
Accuracy of predictions
30
%
Reduced non-attendance
<
100
ms
Speed of response
>
100
m
System scalability (nr of calcs)

Description

A machine learning model was run on historic data for our client, Spire Hospitals, to determine which patients attended their GP appointments. This AI model was enabled via a Optalitix Models API interface to ensure real time insights were available for the systems sending emails and texts to patients.

How it was used

Using the insight from these AI models applied to the patient notfication systems, clinics were able send reminders to patients and charge based on expected attendance. Different notification strategies were used depending on the probability of attendance.

The impact

A reduction of c30% in attendance resulted from this more active approach to targeting patients that were likely to miss their appointment. This significantly improved predictability for the clinic, and boosted attendance.

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Use cases

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Time to deploy models
<
5
mins
Est reduction in dev cost
80
%
Lines of business covered
>
15
Estimated ROI
>
10
x
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Loans issued to date
£
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Existing brokers integrated
6000
Reduction in development cost
70
%
Loans issued
>
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Ecommerce companies using personalisation
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Potential uplift in sales
50
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Time to deploy models
3
mins
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1
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Time to deploy fraud model
5
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Annual UK insurance fraud
£
1100
m
Spend on insurance fraud
£
200
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Increase in sales
50
%
Leads leading to 80% of sales
20
%
Accuracy
>
70
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Increased sales efficiency
40
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Forecast clinic attendance

Accuracy of predictions
80
%
Reduced non-attendance
30
%
Speed of response
<
100
ms
System scalability (nr of calcs)
>
100
m
See how we do it

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Increase in battery efficiency
15
%
Speed of response
<
50
ms
Scalability (nr of calcs)
>
100
m
Time to update model
<
3
minutes
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Optimise clinic bookings

Increase clinic utilisation
20
%
Boost in profitability
50
%
Update time
3
minutes
Clinics using system
30
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Reduction in development time and cost
90
%
Avg model response time
<
100
ms
Scalabilty (nr of calcs)
>
4
m
Loans issued to date on the system
£
7
bn
See how we do it

Company calculators

Reduction in run time for batch calculations
90
%
Models hosted
>
5000
API calculations
>
4
m p.a.
Calculation nodes available
>
20
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Time to deploy pricing model
<
5
mins
Scalability (nr of calcs)
>
100
m
Calculation speed
<
100
ms
Quotes processed
>
95
mil
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Loans issued p/a
> £
1
bn
Reduction in system build cost
80
%
Scalability
>
4
m p/a
UK brokers connected
>
6000
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Reduction in development time and cost
90
%
Number of database calls
>
100
m
Single hosted platform for all policy validations
1
platform
Security Certificates
ISO27001
& CyberEssentials
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