Welcome to the Clinerion website. This website uses cookies. These cookies are used on your browser to understand how you are using our website. Using this website means you agree to our use of cookies. If you prefer not to have these cookies on your device, we advise you to disable them in your web browser settings. You accept the use of cookies by accepting this notice. You can read more details via our Privacy Policy page.
Privacy Policy page >
Clinerion Ltd
Contact Details:
Main address:
Margarethenstrasse 47
4053
Basel, Switzerland
,
Tel:+41 61 865 60 60 ,
E-mail: info(at)clinerion.com
Website: Clinerion Website
Clinerion Patient Network Explorer
Clinerion Patient Network Explorer
Optimized study design, precise site selection and faster patient search and identification for clinical research - in real time.
Videos
Federated Machine Learning and its Importance to RWE
An interview with Matteo Berchier and Barış Erdoğan, Clinerion Ltd., by The Evidence Base.
Federated Machine Learning and its Importance to RWE
An interview with Matteo Berchier and Barış Erdoğan, Clinerion Ltd., by The Evidence Base.
Introduction to Clinerion: Who are we?
Patients are at the center of everything Clinerion does. We are committed to the early prevention, detection, and cure of all chronic and acute disease, using our patented technology for the good of patients and society.
Introduction to Clinerion: Who are we?
Patients are at the center of everything Clinerion does. We are committed to the early prevention, detection, and cure of all chronic and acute disease, using our patented technology for the good of patients and society.
Introduction to Clinerion: Patient Network Explorer, a technology which accelerates clinical trial recruitment thanks to real-world data
Introduction to Clinerion: Patient Network Explorer, a technology which accelerates clinical trial recruitment thanks to real-world data
Introduction to Clinerion: Hospitals - How to Bring More Trials to your Site - with Patient Network Explorer
Introduction to Clinerion: Hospitals - How to Bring More Trials to your Site - with Patient Network Explorer
Introduction to Clinerion: Generate Real World Evidence with Clinerion Real World Data
Clinerion’s Patient Network Explorer leverages real-time patient data from our global hospital network for research and for validation of real-world evidence claims.
Introduction to Clinerion: Generate Real World Evidence with Clinerion Real World Data
Clinerion’s Patient Network Explorer leverages real-time patient data from our global hospital network for research and for validation of real-world evidence claims.
Introduction to Clinerion: Monitoring a Pandemic with Clinerion Real World Data
A fast-moving pandemic highlights our need for reliable and timely real-world data which can provide Real World Evidence and Health Economics and Outcomes Research insights to develop a quick response.
COVID-19 requires a global perspective and new ways of monitoring the patient journey and treatment outcomes, live, to allow the analysis and modelling of a disease’s progression and enable the creation of synthetic control arms for evaluation of treatment regimes.
Clinerion’s Patient Network Explorer and its tailored real-world data services support evaluation of treatment pathways and patient outcomes to improve care for COVID-19 patients.
Introduction to Clinerion: Monitoring a Pandemic with Clinerion Real World Data
A fast-moving pandemic highlights our need for reliable and timely real-world data which can provide Real World Evidence and Health Economics and Outcomes Research insights to develop a quick response.
COVID-19 requires a global perspective and new ways of monitoring the patient journey and treatment outcomes, live, to allow the analysis and modelling of a disease’s progression and enable the creation of synthetic control arms for evaluation of treatment regimes.
Clinerion’s Patient Network Explorer and its tailored real-world data services support evaluation of treatment pathways and patient outcomes to improve care for COVID-19 patients.
Closed Network Example: Swiss Personalized Health Network (SPHN)
The Federated Query System from the Swiss Personalized Health Network, allows researchers in Switzerland to see anonymized patient counts from the 5 University hospitals to help them plan their projects and see how feasible their research is - in just a few clicks.
Find out more about the SPHN Federated Query System and Clinerion >
Closed Network Example: Swiss Personalized Health Network (SPHN)
The Federated Query System from the Swiss Personalized Health Network, allows researchers in Switzerland to see anonymized patient counts from the 5 University hospitals to help them plan their projects and see how feasible their research is - in just a few clicks.
Find out more about the SPHN Federated Query System and Clinerion >
Congreso Latinoamericano de Investigación Clínica - Simposio Clinerion
[Video in Spanish] Presentation by Clinerion and the Hospital Pablo Tobón, Colombia, on the use of the Patient Network Explorer technology in the hospital and how it accelerates clinical trials, esp. trial recruitment.
Congreso Latinoamericano de Investigación Clínica - Simposio Clinerion
[Video in Spanish] Presentation by Clinerion and the Hospital Pablo Tobón, Colombia, on the use of the Patient Network Explorer technology in the hospital and how it accelerates clinical trials, esp. trial recruitment.
Leveraging EHR for Clinical Research (@ Patients in Clinical Trials Digital Week 2021)
Clinerion's Filiz Çavuş spoke on "Leveraging EHR for Clinical Research" during the Patients in Clinical Trials Digital Week 2021.
Leveraging EHR for Clinical Research (@ Patients in Clinical Trials Digital Week 2021)
Clinerion's Filiz Çavuş spoke on "Leveraging EHR for Clinical Research" during the Patients in Clinical Trials Digital Week 2021.
Clinerion talk: Enabling an Artificial Intelligence and Machine Learning infrastructure (at BIO Digital 2021)
How can we leverage the power of real-world data (RWD) and advanced analytics to connect structured and unstructured data within hospitals, contribute to the scientific understanding of patient phenotypes and enable the earlier detection of difficult-to-diagnose diseases and fast-progressing patients?
In this talk, Douglas Drake describes a solution which involves the creation of an infrastructure for AI/ML algorithms (incl. NLP techniques) on an existing hospital network to develop and test pattern-learning methodologies locally and subsequently optimize the global training for the AI/ML model to give physicians better recognition of rare conditions and symptoms and faster diagnosis of life-threating diseases, improving patient outcomes and care.
Clinerion talk: Enabling an Artificial Intelligence and Machine Learning infrastructure (at BIO Digital 2021)
How can we leverage the power of real-world data (RWD) and advanced analytics to connect structured and unstructured data within hospitals, contribute to the scientific understanding of patient phenotypes and enable the earlier detection of difficult-to-diagnose diseases and fast-progressing patients?
In this talk, Douglas Drake describes a solution which involves the creation of an infrastructure for AI/ML algorithms (incl. NLP techniques) on an existing hospital network to develop and test pattern-learning methodologies locally and subsequently optimize the global training for the AI/ML model to give physicians better recognition of rare conditions and symptoms and faster diagnosis of life-threating diseases, improving patient outcomes and care.
Clinerion talk: Generating Disease Insights on Patient Journey, Treatments and Outcomes by Use of Global Hospital Network EHR (at DIA Europe 2021)
An EHR-based patient data network can allow the interrogation of retrospective data, as well as the generation of new prospective data for RWE studies, surveillance, sentinel and cross-sectional studies, feasibility studies, screening for risk management or health-care system evaluation, among other traditional or innovative study designs.
Clinerion talk: Generating Disease Insights on Patient Journey, Treatments and Outcomes by Use of Global Hospital Network EHR (at DIA Europe 2021)
An EHR-based patient data network can allow the interrogation of retrospective data, as well as the generation of new prospective data for RWE studies, surveillance, sentinel and cross-sectional studies, feasibility studies, screening for risk management or health-care system evaluation, among other traditional or innovative study designs.
Clinerion talk: An Exchange of Best Practice - How to Mobilise Real World Datasets to Accelerate Life Sciences R&D
Date: November 11th, 2020.
Clinerion's Douglas Drake, Senior Director, Client Solutions, participated in this special showcase event organized by OBN and the Swiss Embassy in the UK.
View the recording: https://vimeo.com/478170055/31de67d4d5
This special showcase event featured two Swiss companies and two UK companies who presented an insight into the work of their medical data informatics, to show how real world data solutions are being used to improve efficiency in patient search and identification, presenting the potential positive impact this may have in the treatment of a range of diseases for a wider patient population.
Clinerion talk: Re-imagine Research (at BIO International 2020)
Date: June, 2020.
By Douglas Drake, Senior Director, Client Solutions.
Clinerion talk: Re-imagine Research (at BIO International 2020)
Date: June, 2020.
By Douglas Drake, Senior Director, Client Solutions.
Clinerion webinar: Clinerion's NEW “Anonymized Identification” (ANID) Technology and its use in EHR clinical trial patient search and identification
Recording from October 10, 2017.
Clinerion webinar: Clinerion's NEW “Anonymized Identification” (ANID) Technology and its use in EHR clinical trial patient search and identification
Recording from October 10, 2017.
Clinerion talk: Matching clinical trials with patients - an introduction to EHR-based patient search and identification technology (at UK e-Health Week 2017)
Presentation by Tigran Arzumanov, Head of Sales at Clinerion, during UK e-Health Week, at Olympia, London, the UK, May 2017. (11:22 minutes)
Clinerion talk: Matching clinical trials with patients - an introduction to EHR-based patient search and identification technology (at UK e-Health Week 2017)
Presentation by Tigran Arzumanov, Head of Sales at Clinerion, during UK e-Health Week, at Olympia, London, the UK, May 2017. (11:22 minutes)
Clinerion talk: Global EHR-based patient recruitment - an overview on EHR-based patient search and identification technology (at HEC 2016)
A presentation by Tigran Arzumanov, Head of Sales at Clinerion, during the Health - Exploring Complexity: An Interdisciplinary Systems Approach conference (HEC 2016), at the Ludwig-Maximilians-University, Munich, Germany, August 2016. (27:38 minutes)
Clinerion talk: Global EHR-based patient recruitment - an overview on EHR-based patient search and identification technology (at HEC 2016)
A presentation by Tigran Arzumanov, Head of Sales at Clinerion, during the Health - Exploring Complexity: An Interdisciplinary Systems Approach conference (HEC 2016), at the Ludwig-Maximilians-University, Munich, Germany, August 2016. (27:38 minutes)
What Clinerion Can Do to Accelerate the Clinical Trials Process
An Introduction to What Clinerion Can Do to Accelerate the Clinical Trials Process, June 2016. (2:01 minutes)
What Clinerion Can Do to Accelerate the Clinical Trials Process
An Introduction to What Clinerion Can Do to Accelerate the Clinical Trials Process, June 2016. (2:01 minutes)
Clinerion talk: Needle in a Server Stack – clinical trial patient search and identification using multi-hospital EHR integration (at UK e-Health Week 2016)
A presentation by Head of Sales Tigran Arzumanov at the UK e-Health Week in London, April 2016. (11:40 minutes)
Clinerion talk: Needle in a Server Stack – clinical trial patient search and identification using multi-hospital EHR integration (at UK e-Health Week 2016)
A presentation by Head of Sales Tigran Arzumanov at the UK e-Health Week in London, April 2016. (11:40 minutes)
