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WA Couple Sues Well-Known IVF Clinic over Embryo Mix-Up
The donors claim Monash IVF’s identification failures caused psychiatric injury and unresolved grief after a child was born to the wrong parents.
- A West Australian couple filed a Supreme Court of Victoria writ last month suing Monash IVF for negligence, claiming their donated embryo was not used for a Brisbane couple's pregnancy as intended.
- The error was discovered about a year after the child's birth when clinic staff noticed a woman had one embryo fewer than recorded and realized it had been transferred to the wrong patient.
- Claiming they suffered chronic adjustment disorder with depressed mood and grief, the donors filed suit after being excluded from confidential settlements Monash reached with other families involved in mix-ups.
- Monash blamed the blunder on "human error" and commissioned an independent investigation by barrister Fiona McLeod in March 2025, though a spokesperson declined to comment on the active negligence claim.
- When settling other cases earlier this year, Monash stated it had taken "significant steps" to strengthen safety culture and claimed systems now meet required standards and community expectations.
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Sydney Morning Herald+3 Reposted by 3 other sources
Embryo donors sue Monash IVF for unresolved grief after wrong baby bungle
Details of the shocking Brisbane embryo mix-up that saw a woman have a stranger’s baby have emerged in a Supreme Court writ filed against Monash IVF by embryo donors.
·Sydney, Australia
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Donors sue Monash IVF for transferring wrong embryo
Save (0) Please login to bookmarkClose Username or Email Address Password Remember Me A Western Australian couple has sued fertility services provider Monash IVF after the company implanted a woman with a different embryo than the one they had donated. Subscribe to Lawyerly to access this article.Already a subscriber? Username or Email Address Password Remember Me Lost your password? The post Donors sue Mona…
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Leaning Left4Leaning Right2Center2Last UpdatedBias Distribution50% Left
Bias Distribution
- 50% of the sources lean Left
50% Left
L 50%
C 25%
R 25%
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