Why do you need Dr. Warehouse
➜ Accelerate patient inclusion for clinical trials
- Achieve pre-screening in few minutes
- Aggregate and cross-check text-based data with structured ones
- Monitor your own cohorts and share them with colleagues
➜ Access all patients data
- Access last treatment or biopsy results in a glance
- Visualize all the records
- Analyze the patient's care journey
➜ Enjoy actionnable data
- Do prevalent phenotyping
- Aggregate and visualize complex care paths
- Retrieve patients with our similarity algorithms
Why do you need Dr. Warehouse
➜ Accelerate patient inclusion for clinical trials
- Achieve pre-screening in few minutes
- Aggregate and cross-check text-based data with structured ones
- Monitor your own cohorts and share them with colleague
➜ Access all patients data
- Access last treatment or biopsy results in a glance
- Visualize all the records
- Analyze the patient's care journey
➜ Enjoy actionnable data
- Do prevalent phenotyping
- Aggregate and visualize complex care paths
- Retrieve patients with our similarity algorithms
Get to know Dr. Warehouse in less than 90 seconds
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Ask for a Dr. Warehouse demo that will answer all your use cases!
Dr. Warehouse, for who?
For everyone at the hospital
HCPs
- Access all your patient data
- Visualise patients path in your hospital
- Retrieve similar patients based on your cohorts
Researchers
- Pre-screening in few minutes before your trials
- Test new hypotheses leveraging on federated learning
- Get phenotypic statistiques of your cohort
Management
- Etudier les flux de patients dans les services avec des critères plus fins que le PMSI
- Visualiser des parcours de soin agrégés
- Contrôler la qualité du codage PMSI
Get Dr. Warehouse at full capacity
Leverage on codoc| 15 years of experience in health data mining and valorization.
Enter codoc| agile way of working without mobilizing your ressources
Step 1
Fast IT infrastructure audit
Step 2
Set up of the pipes between your solutions and Dr. Warehouse
Step 3
Trainings, maintenance, update
Publications
➜ Nicolas Garcelon, Antoine Neuraz, Vincent Benoit, Rémi Salomon, Anita Burgun; Improving a full-text search engine: the importance of negation detection and family history context to identify cases in a biomedical data warehouse, Journal of the American Medical Informatics Association, Volume 24, Issue 3, 1 May 2017, Pages 607–613, https://doi.org/10.1093/jamia/ocw144
➜ Nicolas Garcelon, Antoine Neuraz, Vincent Benoit, Rémi Salomon, Sven Kracker, Felipe Suarez, Nadia Bahi-Buisson, Smail Hadj-Rabia, Alain Fischer, Arnold Munnich, Anita Burgun; Finding patients using similarity measures in a rare diseases-oriented clinical data warehouse: Dr. Warehouse and the needle in the needle stack, Journal of Biomedical Informatics, Volume 73, 2017, Pages 51-61, ISSN 1532-0464 http://dx.doi.org/10.1016/j.jbi.2017.07.016
➜ Nicolas Garcelon, Antoine Neuraz, Rémi Salomon, Hassan Faour, Vincent Benoit, Arthur Delapalme, Arnold Munnich, Anita Burgun, Bastien Rance;
A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse, Journal of Biomedical Informatics, Volume 80, 2018, Pages 52-63, ISSN 1532-0464, https://doi.org/10.1016/j.jbi.2018.02.019
➜ Nicolas Garcelon, Antoine Neuraz, Rémi Salomon, Nadia Bahi-Buisson, Jeanne Amiel, Capucine Picard, Nizar Mahlaoui, Vincent Benoit, Anita Burgun, Bastien Rance; Next generation phenotyping using narrative reports in a rare disease clinical data warehouse, Orphanet Journal of Rare Diseases, 2018, 13:1, Page 85, ISSN 1750-1172, https://doi.org/10.1186/s13023-018-0830-6
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Dr. Warehouse
Institut des maladies génétiques Imagine
24 bd du Montparnasse, 75015 Paris