title: Reviewing 741 patients records in two hours with FASTVISU.
abstract: The secondary use of electronic health records opens up new perspectives. They provide researchers with structured data and unstructured data, including free text reports. Many applications been developed to leverage knowledge from free-text reports, but manual review of documents is still a complex process. We developed FASTVISU a web-based application to assist clinicians in reviewing documents. We used FASTVISU to review a set of 6340 documents from 741 patients suffering from the celiac disease. A first automated selection pruned the original set to 847 documents from 276 patients' records. The records were reviewed by two trained physicians to identify the presence of 15 auto-immune diseases. It took respectively two hours and two hours and a half to evaluate the entire corpus. Inter-annotator agreement was high (Cohen's kappa at 0.89). FASTVISU is a user-friendly modular solution to validate entities extracted by NLP methods from free-text documents stored in clinical data warehouses.
authors.affiliation: University Hospital Georges Pompidou (HEGP); AP-HP, Paris, France; INSERM; UMRS1138, Paris Descartes University, Paris, France.
authors.forename: Jean-Baptiste
authors.initials: JB
authors.lastname: Escudié
authors.affiliation: University Hospital Georges Pompidou (HEGP); AP-HP, Paris, France; INSERM; UMRS1138, Paris Descartes University, Paris, France.
authors.forename: Anne-Sophie
authors.initials: AS
authors.lastname: Jannot
authors.affiliation: University Hospital Georges Pompidou (HEGP); AP-HP, Paris, France.
authors.forename: Eric
authors.initials: E
authors.lastname: Zapletal
authors.affiliation: University Hospital Georges Pompidou (HEGP); AP-HP, Paris, France; INSERM; UMRS1138, Paris Descartes University, Paris, France.
authors.forename: Sarah
authors.initials: S
authors.lastname: Cohen
authors.affiliation: University Hospital Georges Pompidou (HEGP); AP-HP, Paris, France.
authors.forename: Georgia
authors.initials: G
authors.lastname: Malamut
authors.affiliation: University Hospital Georges Pompidou (HEGP); AP-HP, Paris, France; INSERM; UMRS1138, Paris Descartes University, Paris, France.
authors.forename: Anita
authors.initials: A
authors.lastname: Burgun
authors.affiliation: University Hospital Georges Pompidou (HEGP); AP-HP, Paris, France; INSERM; UMRS1138, Paris Descartes University, Paris, France.
authors.forename: Bastien
authors.initials: B
authors.lastname: Rance
mesh_terms: D001327:Autoimmune Diseases / Q000175:diagnosis; D057225:Data Mining / Q000379:methods*; D057286:Electronic Health Records; D005602:France; D006801:Humans; D020407:Internet; D009323:Natural Language Processing; D012984:Software; D014584:User-Computer Interface