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Advancing Healthcare Through Data and Collaboration

At Akrivia Health, we turn real-world data into insights that shape policy, improve care and drive innovation.

Discover our latest research & thought leadership on advancing Mental Health and Neuroscience

Our data, our society, our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond

Ford E, Boyd A, Bowles JKF, et al.

Natural language processing for structuring clinical text data on depression using UK-CRIS.

Vaci N, Liu Q, Kormilitzin A, et al.

A study investigating the implementation of NICE recommended psychological interventions for people with psychosis following a psychiatric inpatient admission

Burgess-Barr, S., Teale, A. and Jacobsen, P.

Local adaptation and validation of a transdiagnostic risk calculator for first episode psychosis using mental health patient records.

Ford E, Stone J, Oliver D, et al.

 Loneliness, Social Isolation and Effects on Cognitive Decline in Patients with Dementia: A Retrospective Cohort Study Using Natural Language Processing. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring. 

Myers JAC, Stafford T, Koychev I, et al.

A Pilot Study Using Natural Language Processing to Explore Textual Electronic Mental Healthcare Data. 

Delanerolle G, Bouchareb Y, Shetty S, et al.

What is the patient re-identification risk from using de-identified clinical free text data for health research?

Ford E, Pillinger S, Stewart R, et al.

A Cross-Sectional Study of Unstable Housing and Housing-Related Symptom Content in People With Psychosis Admitted for Inpatient Treatment: A Clinical Record Interactive Search Study.

Teale A-L, Docherty L, Kenji Y, et al.

Akrivia Health Database—deep patient characterisation using a secondary mental healthcare dataset in England and Wales: cohort profile.

Todorovic A, Craig P, Pillinger S, et al.

Treatment resistant depression: A comparative study of access, pathways and outcomes between Caucasian and ethnic minority individuals. 

Rathod S, Skórniewska Z, Engelthaler T, et al.

The burden associated with and management of, difficult-to-treat depression in patients under specialist psychiatric care in the United Kingdom.

Costa T, Menzat B, Engelthaler T, et al. T

Associated mortality risk of atypical antipsychotic medication in individuals with dementia. 

Phiri P, Engelthaler T, Carr H, et al.

Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model. 

Liu Q, Vaci N, Koychev I, et al.

Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.

Gligic L, Kormilitzin A, Goldberg P, et al.

The Frequency of Antipsychotic Prescribing in Older People Mental Health Services: A Southern Health OPMH CRIS Audit.

Phiri, P., H. Carr and S. Rathod.

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Leading the way with real world data & AI-curated insights in neuroscience

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Transforming mental health and dementias research through data

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