Results 11 to 20 of about 2,349,438 (169)

Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse. [PDF]

Methods Inf Med, 2023
Objective  The objective of this study is to address the critical issue of deidentification of clinical reports to allow access to data for research purposes, while ensuring patient privacy.
Tannier X, Wajsbürt P, Calliger A, Dura B, Mouchet A, Hilka M, Bey R.   +6 more
europepmc   +3 more sources

Replicating medication trend studies using ad hoc information extraction in a clinical data warehouse [PDF]

BMC Medical Informatics and Decision Making, 2019
Background Medication trend studies show the changes of medication over the years and may be replicated using a clinical Data Warehouse (CDW). Even nowadays, a lot of the patient information, like medication data, in the EHR is stored in the format of ...
Georg Dietrich, Jonathan Krebs, Leon Liman, Georg Fette, Maximilian Ertl, Mathias Kaspar, Stefan Störk, Frank Puppe   +7 more
doaj   +3 more sources

Predictive Factors of Response to Immunotherapy in Lymphomas: A Multicentre Clinical Data Warehouse Study (PRONOSTIM). [PDF]

Cancers (Basel), 2023
Simple Summary Immunotherapy is increasingly used in lymphoma strategy. Risk-adapted therapeutical management and set-up scores to -stratify the most vulnerable patients by risk are becoming major concerns.
Detroit M, Collier M, Beeker N, Willems L, Decroocq J, Deau-Fischer B, Vignon M, Birsen R, Moufle F, Leclaire C, Balladur E, Deschamps P, Chauchet A, Batista R, Limat S, Treluyer JM, Ricard L, Stocker N, Hermine O, Choquet S, Morel V, Metz C, Bouscary D, Kroemer M, Zerbit J.   +24 more
europepmc   +2 more sources

A Clinical Data Warehouse Analysis of Risk Factors for Inpatient Falls in a Tertiary Hospital: A Case-Control Study. [PDF]

J Patient Saf, 2023
Objectives The aims of the study are to identify fall risk factors and to establish automatic risk assessments based on clinical data from electronic medical records of hospitalized patients.
Kwon E, Chang SJ, Kwon M.
europepmc   +2 more sources

Prolactin Level Changes according to Atypical Antipsychotics Use: A Study Based on Clinical Data Warehouse. [PDF]

Clin Psychopharmacol Neurosci, 2023
Objective Antipsychotic drugs are known as the major cause of non-neoplastic hyperprolactinemia. This study aimed to investigate the levels of serum prolactin depending on the use of antipsychotic drugs in patients through the Clinical Data Warehouse ...
Kim S, Jeong JH, Um YH, Kim TW, Seo HJ, Hong SC.   +5 more
europepmc   +2 more sources

The benefit of augmenting open data with clinical data-warehouse EHR for forecasting SARS-CoV-2 hospitalizations in Bordeaux area, France. [PDF]

JAMIA Open, 2022
Objective The aim of this study was to develop an accurate regional forecast algorithm to predict the number of hospitalized patients and to assess the benefit of the Electronic Health Records (EHR) information to perform those predictions. Materials and
Ferté T, Jouhet V, Griffier R, Hejblum BP, Thiébaut R, Bordeaux University Hospital Covid-19 Crisis Task Force .   +5 more
europepmc   +2 more sources

The Influence of High Blood Pressure on Developing Symptomatic Lumbar Epidural Hematoma after Posterior Lumbar Spinal Fusion Surgery: Clinical Data Warehouse Analysis. [PDF]

J Clin Med, 2022
Background: Determining the risk factors for symptomatic lumbar epidural hematoma (SLEH) is important for preventing postoperative SLEH. However, the relationship between blood pressure and SLEH is still debatable.
Yang JS, Kwon YS, Kim JH, Lee JJ, Seo EM.   +4 more
europepmc   +2 more sources

Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions. [PDF]

J Am Med Inform Assoc
Objective To develop and validate a natural language processing (NLP) pipeline that detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson index, while exploring a collaborative and privacy-enhancing workflow ...
Petit-Jean T, Gérardin C, Berthelot E, Chatellier G, Frank M, Tannier X, Kempf E, Bey R.   +7 more
europepmc   +2 more sources

Healthcare trajectory of critically ill patients with necrotizing soft tissue infections: a multicenter retrospective cohort study using the clinical data warehouse of Greater Paris University Hospitals. [PDF]

Ann Intensive Care, 2022
Background Necrotizing skin and soft tissue infections (NSTIs) are rare but serious and rapidly progressive infections characterized by necrosis of subcutaneous tissue, fascia and even muscle. The care pathway of patients with NSTIs is poorly understood.
Windsor C, Hua C, De Roux Q, Harrois A, Anguel N, Montravers P, Vieillard-Baron A, Mira JP, Urbina T, Gaudry S, Turpin M, Damoisel C, Annane D, Ricard JD, Hersant B, Mekontso Dessap A, Chosidow O, Layese R, de Prost N, AP-HP NSTI study group.   +19 more
europepmc   +2 more sources

Correction: Good practices for clinical data warehouse implementation: A case study in France [PDF]

PLOS Digital Health, 2023
[This corrects the article DOI: 10.1371/journal.pdig.0000298.].
Matthieu Doutreligne, Adeline Degremont, Pierre-Alain Jachiet, Antoine Lamer, Xavier Tannier   +4 more
doaj   +3 more sources