Transform Electronic Medical Records into deep Real-World Evidence

Ignacio H. Medrano MD, MSc

Neurologist

Founder & Chief Medical Officer, Savana

Prof. Phillippe Ravaud, MD

Rheumatologist and Professor of Epidemiology at Paris Descartes University and Columbia University.

Director of INSERM, Sorbonne, Paris. Director of Cochrane France.

Miren Taberna, MD PhD

Medical Oncologist

Chief Scientific Officer, Savana

Jean-David Zeitoun, MD, PhD

Hepato-Gastroenterologist and Proctology Surgeon.
Reviewer JAMA Journal. Lecturer at Sciences Po Paris and the Ecole des Hautes Etudes at Santé Publique.

Erica Falkenbach, MD, PhD

Dermatologist

Medical Research Coordinator, Savana

Prof. Joan B. Soriano, MD PhD FERS FCCP

Pneumologist

Honorary Professor of Medicine, UAM

Carolin Wagner, MD

Pulmonologist

Medical Doctor Germany, Savana

Antonio Urda, MD PhD

Orthopaedics and Trauma Surgeon

VP Hospitals Operations, Savana

I can derive much greater value from the medical records I write each day during clinical practice; now I can also conduct medical research.

Publications

Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology

Lea Canales, Sebastian Menke, (…), Jorge Tello
JMIR Publications
DOI: 10.2196/20492

Applying an evaluation methodology on a real use-case study revealed the benefit of the different phases for cNLP system evaluations.

The impact of COVID-19 on patients with asthma

Izquierdo, JL. Almonacid, C. (...), Soriano, JB
European Respiratory Journal
DOI: 10.1183/13993003.03142-2020

An association between the severity of coronavirus disease 2019 (COVID-19) and the presence of certain chronic conditions has been suggested.

A retrospective observational epidemiological study using artificial intelligence and natural language processing in electronic health records to characterize the prostate cancer pathway, management and outcomes in Europe, Middle East and Africa (EMEA region).

Carles, J. Alcaraz, (...), Fizazi, K.
Annals of Oncology
DOI: 10.1016/j.annonc.2020.08.2089

In Prostate Cancer, there is a need for real-world clinical practice data given the high prevalence and incidence of the disease and the rapid changes in…

Global Presence

150 1345 14568 235678 5678421 1 billion

Electronic Medical Records

Years experience

Countries

Languages

0 +

Healthcare providers

150 Employees from 16 nationalities • 400,000 concepts read (EHRead^®) • 6 improved clinical practices

Transform Electronic Medical Records into deep Real-World Evidence

Ignacio H. Medrano MD, MSc

Prof. Phillippe Ravaud, MD

Miren Taberna, MD PhD

Jean-David Zeitoun, MD, PhD

Erica Falkenbach, MD, PhD

Prof. Joan B. Soriano, MD PhD FERS FCCP

Carolin Wagner, MD

Antonio Urda, MD PhD

Ignacio H. Medrano MD, MSc

Prof. Phillippe Ravaud, MD

Miren Taberna, MD PhD

Jean-David Zeitoun, MD, PhD

Erica Falkenbach, MD, PhD

Prof. Joan B. Soriano, MD PhD FERS FCCP

Carolin Wagner, MD

Antonio Urda, MD PhD

I can derive much greater value from the medical records I write each day during clinical practice; now I can also conduct medical research.

Publications

Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology

Lea Canales, Sebastian Menke, (…), Jorge Tello
JMIR Publications
DOI: 10.2196/20492

The impact of COVID-19 on patients with asthma

Izquierdo, JL. Almonacid, C. (...), Soriano, JB
European Respiratory Journal
DOI: 10.1183/13993003.03142-2020

A retrospective observational epidemiological study using artificial intelligence and natural language processing in electronic health records to characterize the prostate cancer pathway, management and outcomes in Europe, Middle East and Africa (EMEA region).

Carles, J. Alcaraz, (...), Fizazi, K.
Annals of Oncology
DOI: 10.1016/j.annonc.2020.08.2089

Global Presence

150 1345 14568 235678 5678421 1 billion

Electronic Medical Records

Years experience

Countries

Languages

Healthcare providers

Multilingual, clinical Natural Language Processing of Big Data impacting global healthcare.

Know more. Know better. Know deeper

Transform Electronic Medical Records into deep Real-World Evidence

Ignacio H. Medrano MD, MSc

Prof. Phillippe Ravaud, MD

Miren Taberna, MD PhD

Jean-David Zeitoun, MD, PhD

Erica Falkenbach, MD, PhD

Prof. Joan B. Soriano, MD PhD FERS FCCP

Carolin Wagner, MD

Antonio Urda, MD PhD

Ignacio H. Medrano MD, MSc

Prof. Phillippe Ravaud, MD

Miren Taberna, MD PhD

Jean-David Zeitoun, MD, PhD

Erica Falkenbach, MD, PhD

Prof. Joan B. Soriano, MD PhD FERS FCCP

Carolin Wagner, MD

Antonio Urda, MD PhD

I can derive much greater value from the medical records I write each day during clinical practice; now I can also conduct medical research.

Publications

Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology

Lea Canales, Sebastian Menke, (…), Jorge TelloJMIR PublicationsDOI: 10.2196/20492

The impact of COVID-19 on patients with asthma

Izquierdo, JL. Almonacid, C. (...), Soriano, JBEuropean Respiratory JournalDOI: 10.1183/13993003.03142-2020

A retrospective observational epidemiological study using artificial intelligence and natural language processing in electronic health records to characterize the prostate cancer pathway, management and outcomes in Europe, Middle East and Africa (EMEA region).

Carles, J. Alcaraz, (...), Fizazi, K. Annals of OncologyDOI: 10.1016/j.annonc.2020.08.2089

Global Presence

150 1345 14568 235678 5678421 1 billion

Electronic Medical Records

Years experience

Countries

Languages

Healthcare providers

Multilingual, clinical Natural Language Processing of Big Data impacting global healthcare.

Know more. Know better. Know deeper

Lea Canales, Sebastian Menke, (…), Jorge Tello
JMIR Publications
DOI: 10.2196/20492

Izquierdo, JL. Almonacid, C. (...), Soriano, JB
European Respiratory Journal
DOI: 10.1183/13993003.03142-2020

Carles, J. Alcaraz, (...), Fizazi, K.
Annals of Oncology
DOI: 10.1016/j.annonc.2020.08.2089