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Doctor who removed ovaries without consent to face new hearing
The General Medical Council won its appeal after a judge found the original tribunal made clear factual errors and failed to weigh key evidence.
- The High Court quashed a decision declaring Dr. Ali Shokouh-Amiri "fit to practise," ordering a new tribunal to re-examine findings related to two patients at Guernsey's Princess Elizabeth Hospital.
- Shokouh-Amiri faced more than 100 allegations of inappropriate behaviour, with 24 instances proven, including removing ovaries of Patient C and Patient D without consent while working at The Medical Specialist Group in Guernsey between 31 October 2016 and 31 August 2019.
- Justice Morris ruled the original tribunal made "clear errors of fact" and "unreasonable conclusions" regarding the evidence. The High Court sided with the General Medical Council, noting the tribunal failed to consider important evidence about the two patients.
- Although currently licensed to practise, Shokouh-Amiri is not in a patient-facing role at Southend Hospital, employed by the Mid and South Essex NHS Foundation Trust. Dr. Christine Blanshard, Chief Medical Officer at the Trust, confirmed his employment status.
- The Medical Practitioners Tribunal Service will relist the hearing at the earliest opportunity to determine his fitness to practise. Officials stated they will consider the judgment carefully for learning points to improve future decision-making.
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Doctor faces new tribunal after removing ovaries without consent
The gynaecologist admitted removing two women's ovaries without their consent — including in one instance where there was no identified medical necessity — but contested the remaining allegations.
·Glasgow, United Kingdom
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The IndependentReposted by 
The Independent (US)
The Independent (US)Doctor who removed ovaries without consent to face new hearing
Dr Ali Shokouh-Amiri was earlier found guilty of misconduct and given a warning
·London, United Kingdom
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Total News Sources7
Leaning Left4Leaning Right1Center2Last UpdatedBias Distribution57% Left
Bias Distribution
- 57% of the sources lean Left
57% Left
L 57%
C 29%
14%
Factuality
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