Resources

Clinithink’s team of tech visionaries, healthcare experts and life science specialists are the authors of a collection of original case studies and white papers. View these resources here to find out more about our AI solutions and how they work in the real world.

Case Studies - CLiX unlock Delivers Precise Results for the Identification of Non‑Alcoholic Fatty Liver Disease
17/01/2020

Product: CLiX unlockClient: Icahn School of Medicine at Mount Sinai, New YorkMarket: NAFLD

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Case Studies - CLiX focus saves lives with automated phenotyping (rare disease in newborns) at Rady Children’s Hospital, San Diego
09/08/2019

Product: CLiX focusClient: Rady Children's Hospital, San DiegoMarket: Rare disease

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Whitepapers - The Artificial Intelligence Application for Revenue Cycle Management
26/06/2019
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Whitepapers - CLiX Revenue Solution Security Provisions
19/02/2019
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Whitepapers - A paradigm shift in patient recruitment for clinical trials - accelerating recruitment by automating the review of clinical narrative with CNLP
23/01/2017
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Case Studies - CLiX unlock for patient matching (diabetes mellitus) at Abertawe Bro Morgannwg University (ABMU) Health Board, Wales
20/07/2016

Product: CLiX unlockClient: Joint Clinical Research Facility, Abertawe Bro Morgannwg University (ABMU) Health Board, Wales UKMarket: Clinical trial patient recruitment

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Case Studies - CLiX unlock for patient matching (rare kidney disease) at the Icahn School of Medicine, Mount Sinai, New York
06/06/2016

Product: CLiX unlockClient: Icahn School of Medicine at Mount Sinai, NYMarket: Clinical trial patient recruitment

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Case Studies - CLiX unlock for patient matching (diabetic nephropathy) at the Icahn School of Medicine, Mount Sinai, New York
06/06/2016

Product: CLiX unlockClient: Icahn School of Medicine at Mount Sinai, NYMarket: Clinical trial patient recruitment

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Whitepapers - The application of CNLP (Clinical Natural Language Processing) for improved analytics
12/11/2014
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Whitepapers - Interpreting and Analysing Clinical Language with CNLP (Clinical Natural Language Processing)
06/11/2014
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