Bridging the gap between clinical practice and medical research
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Electronic health record structured according to the SOAP documentation method
Secure platform for multicentre protocol based prospective cohort studies and disease registries
Real time access to anonymized real life data for quality management and medical research
«We combine clinical documentation with data collection for our cohort study in juvenile idiopathic arthritis.»
Dr Michaël Hofer
PD et MER, Head of Pediatric
Rheumatology Suisse Romande
Centre Hospitalier Universitaire Vaudois
(CHUV)
JIR Cohort
Inflammatory rheumatism from the child to the adult
«We enroll healthy participants, at risk for rheumatoid arthritis, and collect clinical and patient lifestyle data.»
Axel Finckh, MD, PD
Head of Clinical Research in
Rheumatology
Geneva University
Arthritis-Checkup
Screening Study of an Early Detection of the Disease
«The SCQM Foundation runs a scientific platform for prospective long-term studies on inflammatory rheumatic diseases.»
Dr. Almut Scherer
Scientific Manager, SCQM Foundation
SCQM Foundation
Swiss Clinical Quality Management in Rheumatic Diseases
«For our cancer cohort study we collect clinical and patient lifestyle data and track and trace biosamples in one system.»
PD Dr. med. Kaspar Truninger
FMH Facharzt
Gastroenterologie und Innere Medizin, Gastroenterologie Oberaargau und
Departement Biomedizin Universität Basel
SWEPIC
Swiss
Epigenetic Colorectal Cancer Cohort Study
Medical History: Symptoms, Social, Family, Exposure, Allergies, Medications
Results: Vital Signs, Physical Examinations, Laboratory
Assessment: Diagnosis/Differential Diagnosis
Treatment Plan: Tests, Procedures, Referrals, Medications
The National Academy of Medicine defines a Learning Health System as «one in which knowledge generation is so embedded into the core of the practice of medicine that it is a natural outgrowth and product of the healthcare delivery process and leads to continual improvement in care».
Need more info?
info@seantis.ch
| +41 41 511 22 50
Virtual biobank for sample preparation, collection, transport, storage and analysis of biospecimens.
PACS (DICOM) for storage, retrieval, distribution and presentation of medical images.
Machine learning toolset to analyze complex data sets (e.g. xray images).
Apps for patients to access and collect data and to improve monitoring in chronic diseases.
No software installation required. Runs on all devices with a modern webbrowser
YubiKey, 256-bit SSL, AES - Advanced Encryption Standard
Exploratory Data Analysis, Benchmarking, Data Driven Reports
Patients
Follow-ups
Institutions
Countries
Healthcare Professionals
seantis develops web applications for medical researchers, public authorities and aviation professionals. We have more than ten years of experience developing and running internet services. We keep our solutions simple and secure.
ZiteLab, København
Knowledge and
IT
ahdis gmbh, Zürich
making
health data agile
SCQM Foundation, Zürich
Swiss
Clinical Quality Management in Rheumatic Diseases
Fabian Reinhard
Managing Partner
fabian.reinhard@seantis.ch
+41 41 511 22 50
seantis gmbh,Pilatusstrasse 3, CH-6003 Luzern, Switzerland