Use of a data warehouse at an academic medical center for clinical pathology quality improvement, education, and research
Matthew D. Krasowski,Andy Schriever,Gagan Mathur,John L Blau,Stephanie L Stauffer,Bradley Ford +5 more
TLDR
A data warehouse has significant potential for improving utilization of clinical pathology testing and software that can access data warehouse using a straightforward visual interface can be incorporated into pathology training programs.About:
This article is published in Journal of Pathology Informatics.The article was published on 2015-01-01 and is currently open access. It has received 21 citations till now. The article focuses on the topics: Data warehouse & Data access.read more
Citations
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A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse.
Nicolas Garcelon,Antoine Neuraz,Rémi Salomon,Hassan Faour,Vincent Benoit,Arthur Delapalme,Arnold Munnich,Anita Burgun,Bastien Rance +8 more
TL;DR: Dr. Warehouse is dedicated to translational research with cohort recruitment capabilities, high throughput phenotyping and patient centric views (including similarity metrics among patients), and features leverage Natural Language Processing based on the extraction of UMLS® concepts, as well as negation and family history detection.
Journal ArticleDOI
The Georges Pompidou University Hospital Clinical Data Warehouse: A 8-years follow-up experience.
Anne-Sophie Jannot,Anne-Sophie Jannot,Eric Zapletal,Paul Avillach,Marie-France Mamzer,Marie-France Mamzer,Anita Burgun,Anita Burgun,Patrice Degoulet,Patrice Degoulet +9 more
TL;DR: The use of HEGP CDWs is a key facilitator for clinical research studies, however important methodological and organizational support efforts from a biomedical informatics department are required.
Journal ArticleDOI
Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies
TL;DR: A list of sixteen recommendations regarding the usage of NLP systems and algorithms, usage of data, evaluation and validation, presentation of results, and generalizability of results was developed and believe will increase the reproducibility and reusability of future studies and NLP algorithms in medicine.
Journal ArticleDOI
Predicting Frailty Condition in Elderly Using Multidimensional Socioclinical Databases
Flavio Bertini,Giacomo Bergami,Danilo Montesi,Giacomo Veronese,Giulio Marchesini,Paolo Pandolfi +5 more
TL;DR: Two different predictive models for frailty are proposed by exploiting 12 socioclinical databases based on the whole elderly population of the Municipality of Bologna, Italy, demonstrating a good predictive ability of the models.
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Electronic health records for the diagnosis of rare diseases
TL;DR: Research is examined that provides solutions to unlock barriers and accelerate translational research: structured electronic health records and free-text search engines to find patients, data warehouses and natural language processing to extract phenotypes, machine learning algorithms to classify patients, and similarity metrics to diagnose patients.
References
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Proceedings Article
Medical data mining: knowledge discovery in a clinical data warehouse.
Jonathan C. Prather,David F. Lobach,Linda K. Goodwin,Joseph W. Hales,Marvin L. Hage,William E. Hammond +5 more
TL;DR: The techniques of data mining were used to search for relationships in a large clinical database and three factors potentially contributing to preterm birth were identified by the investigators for further exploration.
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Data mining and clinical data repositories: Insights from a 667,000 patient data set
Irene M. Mullins,Mir S. Siadaty,Jason A. Lyman,Kenneth W. Scully,Carleton T. Garrett,W. Greg Miller,Rudy Muller,Barry Robson,Chid Apte,Sholom M. Weiss,Isidore Rigoutsos,Daniel E. Platt,Simona Cohen,William A. Knaus +13 more
TL;DR: A new data mining approach, HealthMiner, is applied to a large cohort of 667,000 inpatient and outpatient digital records from an academic medical system, suggesting that these approaches have the potential to expand research capabilities through identification of potentially novel clinical disease associations.
Journal ArticleDOI
Development of a clinical data warehouse for hospital infection control.
Mary F. Wisniewski,Piotr Kieszkowski,Brandon M. Zagorski,William E. Trick,Michael Sommers,Robert A. Weinstein +5 more
TL;DR: The authors report development of a clinical data warehouse that they created by importing data from the information systems of three affiliated public hospitals, and describe their methodology; difficulties encountered; responses from administrators, computer specialists, and clinicians; and the steps taken to capture and store patient-level data.
Journal ArticleDOI
Role of liquid chromatography-high-resolution mass spectrometry (LC-HR/MS) in clinical toxicology.
TL;DR: LC-HR/MS is more suitable to clinical toxicology because the drugs present in a sample are rarely known a priori, and tentative identifications of unknowns can be made without the availability of a reference standard or a library spectrum.
Journal ArticleDOI
Promoting improved utilization of laboratory testing through changes in an electronic medical record: experience at an academic medical center
Matthew D. Krasowski,Deborah Chudzik,Anna Dolezal,Bryan Steussy,Michael P. Gailey,Benjamin Koch,Sara B Kilborn,Benjamin W. Darbro,Carolyn D Rysgaard,Julia Klesney-Tait +9 more
TL;DR: The high-frequency laboratory tests showing the biggest declines in order volume post intervention were serum albumin and erythrocyte sedimentation rate, while introduction of restrictions for 170 high-cost send-out tests resulted in a 23% decline in orderVolume.