Literature DB >> 24363319

Visual analytical tool for evaluation of 10-year perioperative transfusion practice at a children's hospital.

Jorge A Gálvez1, Luis Ahumada, Allan F Simpao, Elaina E Lin, Christopher P Bonafide, Dhruv Choudhry, William R England, Abbas F Jawad, David Friedman, Debora A Sesok-Pizzini, Mohamed A Rehman.   

Abstract

Children are a vulnerable population in the operating room, and are particularly at risk of complications from unanticipated hemorrhage. The decision to prepare blood products prior to surgery varies depending on the personal experience of the clinician caring for the patient. We present the first application of a data visualization technique to study large datasets in the context of blood product transfusions at a tertiary pediatric hospital. The visual analytical interface allows real-time interaction with datasets from 230 000 procedure records. Clinicians can use the visual analytical interface to analyze blood product usage based on procedure- and patient-specific factors, and then use that information to guide policies for ordering blood products.

Entities:  

Keywords:  anesthesiology; clinical decision support; maximum surgical blood order schedule; pediatric; transfusion; visual analytics

Mesh:

Year:  2013        PMID: 24363319      PMCID: PMC3994870          DOI: 10.1136/amiajnl-2013-002241

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  14 in total

1.  A study of blood cross-matching requirements for surgery in gynecological oncology: improved efficiency and cost saving.

Authors:  C L Foley; T Mould; J E Kennedy; D P J Barton
Journal:  Int J Gynecol Cancer       Date:  2003 Nov-Dec       Impact factor: 3.437

2.  Guidelines for implementation of a maximum surgical blood order schedule. The British Committee for Standards in Haematology Blood Transfusion Task Force.

Authors: 
Journal:  Clin Lab Haematol       Date:  1990

3.  Blood collection and transfusion in the United States in 2001.

Authors:  Marian T Sullivan; Russell Cotten; Elizabeth J Read; Edward L Wallace
Journal:  Transfusion       Date:  2007-03       Impact factor: 3.157

Review 4.  Anesthesia information management systems.

Authors:  Stanley Muravchick
Journal:  Curr Opin Anaesthesiol       Date:  2009-12       Impact factor: 2.706

5.  Reconstituted blood reduces blood donor exposures in children undergoing craniofacial reconstruction surgery.

Authors:  Paul A Stricker; John E Fiadjoe; Amanda R Davis; Emily Sussman; Beverly J Burgess; Brian Ciampa; Jared Mendelsohn; Scott P Bartlett; Deborah A Sesok-Pizzini; David R Jobes
Journal:  Paediatr Anaesth       Date:  2011-01       Impact factor: 2.556

6.  Anesthesia-related cardiac arrest in children: initial findings of the Pediatric Perioperative Cardiac Arrest (POCA) Registry.

Authors:  J P Morray; J M Geiduschek; C Ramamoorthy; C M Haberkern; A Hackel; R A Caplan; K B Domino; K Posner; F W Cheney
Journal:  Anesthesiology       Date:  2000-07       Impact factor: 7.892

7.  An analysis of surgical blood use in United States hospitals with application to the maximum surgical blood order schedule.

Authors:  B A Friedman
Journal:  Transfusion       Date:  1979 May-Jun       Impact factor: 3.157

8.  Optimizing preoperative blood ordering with data acquired from an anesthesia information management system.

Authors:  Steven M Frank; James A Rothschild; Courtney G Masear; Richard J Rivers; William T Merritt; Will J Savage; Paul M Ness
Journal:  Anesthesiology       Date:  2013-06       Impact factor: 7.892

9.  Anesthesia-related cardiac arrest in children: update from the Pediatric Perioperative Cardiac Arrest Registry.

Authors:  Sanjay M Bhananker; Chandra Ramamoorthy; Jeremy M Geiduschek; Karen L Posner; Karen B Domino; Charles M Haberkern; John S Campos; Jeffrey P Morray
Journal:  Anesth Analg       Date:  2007-08       Impact factor: 5.108

10.  Anesthesia-related cardiac arrest in children with heart disease: data from the Pediatric Perioperative Cardiac Arrest (POCA) registry.

Authors:  Chandra Ramamoorthy; Charles M Haberkern; Sanjay M Bhananker; Karen B Domino; Karen L Posner; John S Campos; Jeffrey P Morray
Journal:  Anesth Analg       Date:  2010-01-26       Impact factor: 5.108

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  7 in total

1.  A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.

Authors:  Magda Bucholc; Xuemei Ding; Haiying Wang; David H Glass; Hui Wang; Girijesh Prasad; Liam P Maguire; Anthony J Bjourson; Paula L McClean; Stephen Todd; David P Finn; KongFatt Wong-Lin
Journal:  Expert Syst Appl       Date:  2019-04-10       Impact factor: 6.954

Review 2.  A review of analytics and clinical informatics in health care.

Authors:  Allan F Simpao; Luis M Ahumada; Jorge A Gálvez; Mohamed A Rehman
Journal:  J Med Syst       Date:  2014-04-03       Impact factor: 4.460

3.  Reducing Unnecessary Postoperative Complete Blood Count Testing in the Pediatric Intensive Care Unit.

Authors:  Maya Dewan; Jorge Galvez; Tracey Polsky; Genna Kreher; Blair Kraus; Luis Ahumada; John Mccloskey; Heather Wolfe
Journal:  Perm J       Date:  2017

4.  A Visual Analytics Dashboard to Summarize Serial Anesthesia Records in Pediatric Radiation Treatment.

Authors:  Olivia Nelson; Brian Sturgis; Keri Gilbert; Elizabeth Henry; Kelly Clegg; Jonathan M Tan; Jack O Wasey; Allan F Simpao; Jorge A Gálvez
Journal:  Appl Clin Inform       Date:  2019-08-07       Impact factor: 2.342

5.  Design and Implementation of a Visual Analytics Electronic Antibiogram within an Electronic Health Record System at a Tertiary Pediatric Hospital.

Authors:  Allan F Simpao; Luis M Ahumada; Beatriz Larru Martinez; Ana M Cardenas; Talene A Metjian; Kaede V Sullivan; Jorge A Gálvez; Bimal R Desai; Mohamed A Rehman; Jeffrey S Gerber
Journal:  Appl Clin Inform       Date:  2018-01-17       Impact factor: 2.342

6.  Development, implementation and preliminary evaluation of clinical dashboards in a department of anesthesia.

Authors:  Géry Laurent; Mouhamed D Moussa; Cédric Cirenei; Benoît Tavernier; Romaric Marcilly; Antoine Lamer
Journal:  J Clin Monit Comput       Date:  2020-05-16       Impact factor: 2.502

7.  Visual Analytics: A Method to Explore Natural Histories of Oral Epithelial Dysplasia.

Authors:  Stan Nowak; Miriam Rosin; Wolfgang Stuerzlinger; Lyn Bartram
Journal:  Front Oral Health       Date:  2021-08-05
  7 in total

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