Royal National Orthopaedic Hospital (RNOH) NHS Trust

The Client

The Position

Interim Data Analyst

Introduction

The Royal National Orthopaedic Hospital NHS Trust is the UK’s leading specialist orthopaedic hospital and a world-renowned specialist hospital for the diagnosis and treatment of complex orthopaedic conditions. Specialised orthopaedics services are those neuro-musculoskeletal (MSK) services, which, due to rarity, complexity or the required expertise, are focused in certain centres.

Currently, patients receive care and treatment within these services in around 30 hospitals in England, of which three are specialist Trusts like RNOH. RNOH are the largest of the specialist orthopaedic hospitals in the UK, providing specialised and complex orthopaedic and related care to patients regionally and nationally.

01

The context

Given the lengthy patient waiting lists most Trusts are facing, RNOH wanted to assess its own capacity to see if it was able to take on additional patients from other Trusts.

02

The solution

Agreed approach

Utilise the most recent pre-pandemic historical data (2019-2020) to build a data model showing staff resource management, theatre utilisation and bed usage, to deliver services across a range of patient activities.

Candidates’ experience

We presented candidates with demonstrated experience in:

NHS acute and urgent care
Data modelling & analysis
Critical path analysis
Process optimisation
Business intelligence & management information

All had worked at a senior level, had managed complex projects at scale, and exhibited strong stakeholder management and collaboration skills.

First candidates were introduced within 24 hours. RNOH hired two candidates to design and deliver the project.

03

The impact

Data model built showing the therapy resources, theatre utilisation, and bed usage required by the Trust to meet patient requirements across a range of medical procedures.
Potential future demands identified, analysing data regarding patients on waiting lists in neighbouring Trusts.
RNOH will use this data model to stress-test available capacity and help inform which activities to proactively target provision for.

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“After a few unsuccessful attempts at recruiting these positions, we were recommended to Rinnova by an external advisor. Rinnova were knowledgeable and consultative; they quickly supplied us with three great candidates, and we hired two of them. They delivered excellent results, on time and to our expectations. I felt that Rinnova were proactive in keeping us up to date on the progress of the project, managing the interim relationships and keeping me abreast of developments.”

John Bateson, RNOH, Dep. Director of Strategy & Improvement

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