scholarly journals Pilot Study of an e-Cohort to Monitor Adverse Event for Patient with Hip Prostheses from Clinical Data Warehouse

2021 ◽  
Author(s):  
Thibault Dhalluin ◽  
Marie Ansoborlo ◽  
Philippe Rosset ◽  
Hervé Thomazeau ◽  
Marc Cuggia ◽  
...  
Keyword(s):  
Pilot Study ◽  
Data Warehouse ◽  
Clinical Data ◽  
Hip Arthroplasty ◽  
Claim Data ◽  
University Hospital ◽  
Clinical Practices ◽  
Hip Prostheses ◽  
Clinical Data Warehouse ◽  
Hospital Stays

Hip arthroplasty represents a large proportion of orthopaedic activity, constantly increasing. Automating monitoring from clinical data warehouses is an opportunity to dynamically monitor devices and patient outcomes allowing improve clinical practices. Our objective was to assess quantitative and qualitative concordance between claim data and device supply data in order to create an e-cohort of patients undergoing a hip replacement. We performed a single-centre cohort pilot study, from one clinical data warehouse of a French University Hospital, from January 1, 2010 to December 31, 2019. We included all adult patients undergoing a hip arthroplasty, and with at least one hip medical device provided. Patients younger than 18 years or opposed to the reuse of their data were excluded from the analysis. Our primary outcome was the percentage of hospital stays with both hip arthroplasty and hip device provided. The patient and stay characteristics assessed in this study were: age, sex, length of stay, surgery procedure (replacement, repositioning, change, or reconstruction), medical motif for surgery (osteoarthritis, fracture, cancer, infection, or other) and device provided (head, stem, shell, or other). We found 3,380 stays and 2,934 patients, 96.4% of them had both a hip surgery procedure and a hip device provided. These data from different sources are close enough to be integrated in a common clinical data warehouse.

The Georges Pompidou University Hospital Clinical Data Warehouse: A 8-years follow-up experience

2017 ◽  
Vol 102 ◽  
pp. 21-28 ◽  
Author(s):  
Anne-Sophie Jannot ◽  
Eric Zapletal ◽  
Paul Avillach ◽  
Marie-France Mamzer ◽  
Anita Burgun ◽  
...  
Keyword(s):  
Data Warehouse ◽  
Clinical Data ◽  
University Hospital ◽  
Clinical Data Warehouse

scholarly journals Assessment of pediatric hypercholesterolemia with a clinical data warehouse

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
T Dhalluin ◽  
A De Luca ◽  
C Salpetrier ◽  
L Guillon ◽  
R Hankard
Keyword(s):  
Lipid Profile ◽  
Children And Adolescents ◽  
Familial Hypercholesterolemia ◽  
Data Warehouse ◽  
Clinical Data ◽  
Thyroid Stimulating Hormone ◽  
University Hospital ◽  
Control Group ◽  
Premature Coronary Heart Disease ◽  
Clinical Data Warehouse

Abstract Introduction Familial hypercholesterolemia (FH) in children and adolescents is a genetic cause of premature coronary heart disease. Early detection of patients with FH could improve their management and life expectancy. Methods A retrospective observational study was conducted using our university hospital clinical data warehouse including children born after 01/01/2000, with at least one available lipid profile. Phenotypic diagnosis of hypercholesterolemia was defined by a plasma LDL-C level ≥5 mmol/L (190 mg/dL). Above-threshold children were compared with below-threshold children on available features: age, sex, weight and height, plasma total, HDL, LDL cholesterol, triglycerides, creatinine, urea, protein, albumin, thyroid stimulating hormone and cortisol levels. Results 1,362 children were included, of whom 48 had at least one LDL-C measurement ≥5 mmol/L and 1,314 below (control). Only 2 children presented with a specific E78 hypercholesterolemia code versus 8 in the control group. Patients above the threshold were 1.5 years younger, with a mean cortisolaemia lower compared to the controls. Discussion Lipid profile is not routinely prescribed for children, and they are not routinely managed for their increased cholesterol levels. Lipid profile for children and adolescents were mainly prescribed in intensive care settings or in association with endocrine checkup. Hospital clinical data warehouse is an opportunity to specify practices in screening for Familial Hypercholesterolemia and lipid profile prescription in children. Key messages Lipid profile is not routinely prescribed for children. Hospital clinical data warehouse is an opportunity to specify practices in screening for Familial Hypercholesterolemia.

scholarly journals Seasonal burden of severe influenza virus infection in the critically ill patients, using the Assistance Publique-Hôpitaux de Paris clinical data warehouse: a pilot study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Muriel Fartoukh ◽  
Guillaume Voiriot ◽  
Laurent Guérin ◽  
Jean Damien Ricard ◽  
Alain Combes ◽  
...  
Keyword(s):  
Critical Care ◽  
Pilot Study ◽  
Virus Infection ◽  
Data Warehouse ◽  
Clinical Data ◽  
Life Support ◽  
Care Pathway ◽  
Clinical Care ◽  
Influenza Virus Infection ◽  
Clinical Data Warehouse

Abstract Purpose At the critical care level, the flu surveillance system is limited in France, with heterogeneous regional modalities of implementation. Materials, patients and methods We aimed at assessing the relevance of the Assistance Publique-Hôpitaux de Paris (AP-HP) clinical data warehouse for estimating the burden of the influenza epidemic on medical adult critical care units of the AP-HP, and outcome of patients during the flu season 2017–2018. This exploratory multi-site epidemiological study comprised all consecutive adult stays (n = 320) in 18 medical intensive care units (ICU) or intermediate care wards (ICW) for probable or confirmed Influenza virus infection during the 2017–2018 flu season. Results Patients admitted to ICU/ICW had low vaccination coverage (21%), required life support in 60% of cases, stayed in the ICU for a median of 8 days, and had high 28-day mortality rate (19.7%; 95% confidence interval 15.5–24.5). Early prognostic factors included age, core temperature, the acute organ failures score, and the early administration of antiviral therapy. Conclusions Data directly extracted from the electronic medical records stored in the data warehouse provide detailed clinical, care pathway and prognosis information. The real-time availability should enable to detect and assess the burden of the most severe cases. By a firmer and more acute monitoring and adjustment of care and patient management, hospitals could generate more ICU/ICW capacities, sensitize their emergency department and contribute to the recommendations from health authorities. This pilot study is of particular relevance in the context of emerging epidemics of severe acute respiratory diseases.

The Application of an Institutional Clinical Data Warehouse to the Assessment of Adverse Drug Reactions (ADRs)

2007 ◽  
Vol 46 (05) ◽  
pp. 516-522 ◽  
Author(s):  
Q. Zhang ◽  
T. Teratani ◽  
S. Yoshimoto ◽  
T. Mineno ◽  
K. Nakagawa ◽  
...  
Keyword(s):  
Data Warehouse ◽  
Adverse Drug Reactions ◽  
Clinical Data ◽  
Patient Characteristics ◽  
University Hospital ◽  
Drug Reactions ◽  
Clinical Data Warehouse ◽  
Cohort Design ◽  
Period 2 ◽  
Increased Risk

Summary Objectives: To apply an institutional clinical data warehouse (CDW) to the assessment of adverse drug reactions (ADRs) and demonstrate its utility through a specific example. Methods: We modeled the process for assessing ADRs through retrospective cohort design by using CDW at the Osaka University Hospital as follows: 1) We defined a drug X, an adverse drug reaction (ADR) Y, and a laboratory measurement Z to assess Y during a given study period; 2) we excluded those whose Z value exceeded the defined criteria or were not available at the inception of the cohort; 3) we divided the patients into two groups based on exposure or non-exposure to X; 4) we matched the patient characteristics between the two groups through stratification and randomization; and 5) we compared the frequency of patients who presented Y during the study period between the two groups. Aminoglycoside and Cephalosporin associated nephrotoxicity in pediatric inpatients was used as an example to demonstrate the usefulness of this approach. Results: Our evaluation indicates that there is an increased risk of nephrotoxicity for pediatric inpatients who were prescribed cephalosporin either alone or in combination with aminoglycoside; further, aminoglycoside tends to increase the cephalosporin-associated nephrotoxicity. Conclusions: Our findings are consistent with those drawn from other studies, indicating thatthe method of a pplying an institutional CDW is useful for assessing ADRs.

scholarly journals Evaluation of the Observed Cisplatin Nephrotoxicity in Adult Cancer Inpatients: A Historical Cohort Study by Using Clinical Data Warehouse

2006 ◽  
Vol 52 (2) ◽  
pp. 192-197
Author(s):  
Qiyan Zhang ◽  
Yasushi Matsumura ◽  
Tadamasa Teratani ◽  
Sachiko Yoshimoto ◽  
Takahiro Mineno ◽  
...  
Keyword(s):  
Cohort Study ◽  
Data Warehouse ◽  
Clinical Data ◽  
Historical Cohort ◽  
Cisplatin Nephrotoxicity ◽  
Clinical Data Warehouse ◽  
Historical Cohort Study

scholarly journals A clinical data warehouse-based process for refining medication orders alerts

2012 ◽  
Vol 19 (5) ◽  
pp. 782-785 ◽  
Author(s):  
Abdelali Boussadi ◽  
Thibaut Caruba ◽  
Eric Zapletal ◽  
Brigitte Sabatier ◽  
Pierre Durieux ◽  
...  
Keyword(s):  
Data Warehouse ◽  
Clinical Data ◽  
Clinical Data Warehouse

Enabling Precision Medicine in Cancer Care Through a Molecular Data Warehouse: The Moffitt Experience

2021 ◽  
pp. 561-569
Author(s):  
Steven A. Eschrich ◽  
Jamie K. Teer ◽  
Phillip Reisman ◽  
Erin Siegel ◽  
Chandan Challa ◽  
...  
Keyword(s):  
Cancer Research ◽  
Precision Medicine ◽  
Data Warehouse ◽  
Clinical Data ◽  
Molecular Data ◽  
Project Planning ◽  
Cancer Genome ◽  
Open Communication ◽  
Clinical Data Warehouse ◽  
Research Studies

PURPOSE The use of genomics within cancer research and clinical oncology practice has become commonplace. Efforts such as The Cancer Genome Atlas have characterized the cancer genome and suggested a wealth of targets for implementing precision medicine strategies for patients with cancer. The data produced from research studies and clinical care have many potential secondary uses beyond their originally intended purpose. Effective storage, query, retrieval, and visualization of these data are essential to create an infrastructure to enable new discoveries in cancer research. METHODS Moffitt Cancer Center implemented a molecular data warehouse to complement the extensive enterprise clinical data warehouse (Health and Research Informatics). Seven different sequencing experiment types were included in the warehouse, with data from institutional research studies and clinical sequencing. RESULTS The implementation of the molecular warehouse involved the close collaboration of many teams with different expertise and a use case–focused approach. Cornerstones of project success included project planning, open communication, institutional buy-in, piloting the implementation, implementing custom solutions to address specific problems, data quality improvement, and data governance, unique aspects of which are featured here. We describe our experience in selecting, configuring, and loading molecular data into the molecular data warehouse. Specifically, we developed solutions for heterogeneous genomic sequencing cohorts (many different platforms) and integration with our existing clinical data warehouse. CONCLUSION The implementation was ultimately successful despite challenges encountered, many of which can be generalized to other research cancer centers.

Sign in / Sign up

Export Citation Format

Share Document