Outcome of Aneurysmal Subarachnoid Hemorrhage Not Altered With Transatlantic Airplane Transfer: A Bicentric Matched Case-control Study.

Objective: It is recommended that ruptured cerebral aneurysms are treated in a high-volume center within 72 hours of ictus. We assessed the impact of long-distance aeromedical evacuation in patients presenting aSAH.

Methods: This case-control study compared patients with aneurysmal subarachnoid hemorrhage (aSAH) who had a 6750 km air transfer from Guadeloupe (a Caribbean island) to Paris, France, for neurointerventional management in a tertiary center with a matched cohort from Paris region treated in the same center over a 10-year period (2010 to 2019).

Elderly Surgical Patients: Automated Computation of Healthcare Quality Indicators by Data Reuse of EHR.

Unlabelled: The objective of the work is to implement and evaluate the automated computation of 9 healthcare quality indicators, by data reuse of electronic health records, in the field of elderly surgical patients.

Methods: Data are extracted from EHR, including administrative data, ICD10 diagnoses, laboratory results, procedures, administered drugs, and free-text letters. The indicators are implemented by a medical data reuse specialist.

Process assessment by automated computation of healthcare quality indicators in hospital electronic health records: a systematic review of indicators.

The objective of the work is to extract healthcare process quality indicators from the literature, and to evaluate which of them could be automatically computed using routinely collected data from electronic health records (EHRs). A minimal set of data commonly available in EHRs is first defined. The initial bibliographic query enables to identify 8,744 papers, among which 126 papers describe 440 process indicators.

Proposal and evaluation of FASDIM, a Fast And Simple De-Identification Method for unstructured free-text clinical records.

Purpose: Medical free-text records enable to get rich information about the patients, but often need to be de-identified by removing the Protected Health Information (PHI), each time the identification of the patient is not mandatory. Pattern matching techniques require pre-defined dictionaries, and machine learning techniques require an extensive training set. Methods exist in French, but either bring weak results or are not freely available.

Interoperability of medical databases: construction of mapping between hospitals laboratory results assisted by automated comparison of their distributions.

In hospital information systems, laboratory results are stored using specific terminologies which may differ between hospitals. The objective is to create a tool helping to build a mapping between a target terminology (reference dataset) and a new one. Using a training sample consisting of correct and incorrect correspondences between parameters of different hospitals, a match probability score is built.