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Epsom and St Helier University Hospitals NHS Trust — employment tribunal cases | Tribunal Watch

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Employment tribunal cases against Epsom and St Helier University Hospitals NHS Trust

Since 2017, Epsom and St Helier University Hospitals NHS Trust has appeared as a respondent in 10 employment tribunal cases, with £0 in total awards recorded against the employer.

Total cases: 10
Total awarded against: £0
Largest award: —
Most common claim: Unfair dismissal

Indexed: 5 May 2026

Cases by claim type

9 distinct categories

#	Claim type	Cases
01	Unfair dismissal	7
02	Disability discrimination	3
03	Unlawful deduction from wages	3
04	Whistleblowing	2
05	Breach of contract	2
06	Race discrimination	2
07	Working time regulations	1
08	Sex discrimination	1
09	Age discrimination	1

All cases

10 cases · chronological

Case ref.	Decided	Jurisdiction	Claimant	Claim types	Award
2306903/2024	27 January 2026	England & Wales	Ms Lena Nasr	Disability discrimination	—
2302014/2022	8 March 2024	England & Wales	Mrs S Hamilton	Whistleblowing, Unfair dismissal	—
2302735/2022	2 October 2023	England & Wales	Miss R Woodward	Disability discrimination, Unfair dismissal, Unlawful deduction from wages, Working time regulations	—
2303546/2021	23 May 2022	England & Wales	Ms B Noor	Breach of contract, Whistleblowing, Sex discrimination, Unfair dismissal, Unlawful deduction from wages	—
2300816/2020	7 March 2022	England & Wales	Mr Abdel Bari	Race discrimination	—
2301602/2020	21 October 2021	England & Wales	Mr A Anjum	Age discrimination, Breach of contract, Unfair dismissal	—
2300501/2020	1 March 2021	England & Wales	Ms Josefa Orellana	Unfair dismissal	—
2303417/2018	15 May 2019	England & Wales	Mr F Jones	Unlawful deduction from wages	—
2302413/2017	26 March 2019

Methodology

Data extracted from published employment tribunal judgments on gov.uk. Case reference, decision date, judge, venue and claim categories come from structured metadata. Claimant and respondent names are extracted from the judgment PDF text. Outcomes and compensation are not yet populated for every case — see how the data is built.