Source · Investigations in the NHS

Investigation Report into the NHS Care provided to the late Daniel Benfield in June 2016

South East Published 01 Jun 2016

NHS England published an investigation report into the NHS Care provided to the late Daniel Benfield in June 2016, who suffered from a sub-arachnoid haemorrhage. The report sets out key findings and some recommendations for the organisations involved in his care.

Acceptance status

Per recommendation
No Response Published
5

Total recommendations
5
About this data

Acceptance status tracks whether the trust accepted or responded to each recommendation.

Independent health investigation reports and reviews commissioned by government or NHS England.

About this investigation

Source & metadata

Independent investigation report. Recommendations and any published response are extracted below.

Recommendations

5 total
6.1 all clinicians in urgent and emergency care No Response Published
Recommendation
Publication and distribution of a learning update arising from this case to all clinicians in urgent and emergency care covering: • SAH not presenting as thunderclap headache • Need for high level of diagnostic suspicion in any patient presenting with … Read more
6.2 Trust 5 No Response Published
Recommendation
The Trust 5 clinical IT system is modified to enable face to face as a default response after two previous contacts for the same condition, which has to be consciously over-ruled by the assessing clinician.
6.3 NHS 111 and Trust 5 No Response Published
Recommendation
The interface between NHS 111 and Trust 5 should be improved to ensure that clinical information is more effectively shared between the two organisations.
6.4 The urgent care system as a whole No Response Published
Recommendation
The urgent care system as a whole should explore ways to ensure that when patients present to different organisations, information is more effectively shared.
6.5 NHS 111 No Response Published
Recommendation
NHS 111 should review their diagnostic software to ensure it is sufficiently robust to detect atypical presentations of medical conditions.