Literature DB >> 1736794

How does computer-aided diagnosis improve the management of acute abdominal pain?

J Wellwood1, S Johannessen, D J Spiegelhalter.   

Abstract

The introduction of standardised data-collection forms and computer-aided diagnosis has been found to be associated with improved diagnosis and management of patients with acute abdominal pain. The mechanism by which such benefits accrue has been the subject of some controversy. Detailed analysis of 5193 patients from one hospital shows that the major benefit from such diagnostic aids was the accurate early diagnosis of non-specific abdominal pain by senior house officers in the accident and emergency department; this in turn led to fewer admissions and fewer operations with negative findings. Clinical data about patients with acute abdominal pain should be recorded on structured information sheets by junior doctors and early positive diagnosis should be encouraged before decisions affecting the patient's management are made. Improved computer support may confer further benefits.

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Year:  1992        PMID: 1736794      PMCID: PMC2497469     

Source DB:  PubMed          Journal:  Ann R Coll Surg Engl        ISSN: 0035-8843            Impact factor:   1.891


  12 in total

Review 1.  Computer-aided diagnosis: a review.

Authors:  G C Sutton
Journal:  Br J Surg       Date:  1989-01       Impact factor: 6.939

2.  Computer aided diagnosis of acute abdominal pain: a multicentre study.

Authors:  I D Adams; M Chan; P C Clifford; W M Cooke; V Dallos; F T de Dombal; M H Edwards; D M Hancock; D J Hewett; N McIntyre
Journal:  Br Med J (Clin Res Ed)       Date:  1986-09-27

3.  Making better decisions: construction of clinical scoring systems by the Spiegelhalter-Knill-Jones approach.

Authors:  D G Seymour; M Green; F G Vaz
Journal:  BMJ       Date:  1990-01-27

4.  Twelve years' experience of computer-aided diagnosis in a district general hospital.

Authors:  W A McAdam; B M Brock; T Armitage; P Davenport; M Chan; F T de Dombal
Journal:  Ann R Coll Surg Engl       Date:  1990-03       Impact factor: 1.891

5.  How accurate is computer-aided diagnosis?

Authors:  G C Sutton
Journal:  Lancet       Date:  1989-10-14       Impact factor: 79.321

6.  Computer aided diagnosis of acute abdominal pain.

Authors: 
Journal:  Br Med J (Clin Res Ed)       Date:  1986-10-18

7.  Routine use of a scoring system for decision-making in suspected acute appendicitis in adults.

Authors:  G Fenyö
Journal:  Acta Chir Scand       Date:  1987-09

8.  The diagnosis of acute abdominal pain with computer analysis.

Authors:  A A Gunn
Journal:  J R Coll Surg Edinb       Date:  1976-05

9.  Statistical methodology for evaluating gastrointestinal symptoms.

Authors:  D J Spiegelhalter
Journal:  Clin Gastroenterol       Date:  1985-07

10.  Allocation of patients to treatment groups in a controlled clinical study.

Authors:  S J White; L S Freedman
Journal:  Br J Cancer       Date:  1978-05       Impact factor: 7.640

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  10 in total

Review 1.  Considering clustering: a methodological review of clinical decision support system studies.

Authors:  J H Chuang; G Hripcsak; R A Jenders
Journal:  Proc AMIA Symp       Date:  2000

2.  Measuring the impact of diagnostic decision support on the quality of clinical decision making: development of a reliable and valid composite score.

Authors:  Padmanabhan Ramnarayan; Ritika R Kapoor; Michael Coren; Vasantha Nanduri; Amanda L Tomlinson; Paul M Taylor; Jeremy C Wyatt; Joseph F Britto
Journal:  J Am Med Inform Assoc       Date:  2003-08-04       Impact factor: 4.497

3.  Integrating incident reporting into an electronic patient record system.

Authors:  Guy Haller; Paul S Myles; Johannes Stoelwinder; Mark Langley; Hugh Anderson; John McNeil
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

4.  The case for randomized controlled trials to assess the impact of clinical information systems.

Authors:  Joseph L Y Liu; Jeremy C Wyatt
Journal:  J Am Med Inform Assoc       Date:  2011-01-26       Impact factor: 4.497

5.  Scope and Influence of Electronic Health Record-Integrated Clinical Decision Support in the Emergency Department: A Systematic Review.

Authors:  Brian W Patterson; Michael S Pulia; Shashank Ravi; Peter L T Hoonakker; Ann Schoofs Hundt; Douglas Wiegmann; Emily J Wirkus; Stephen Johnson; Pascale Carayon
Journal:  Ann Emerg Med       Date:  2019-01-03       Impact factor: 5.721

6.  A database on dyspepsia.

Authors:  G P Crean; R J Holden; R P Knill-Jones; A D Beattie; W B James; F M Marjoribanks; D J Spiegelhalter
Journal:  Gut       Date:  1994-02       Impact factor: 23.059

7.  A Computerized Alert Screening for Severe Sepsis in Emergency Department Patients Increases Lactate Testing but does not Improve Inpatient Mortality.

Authors:  T Berger; A Birnbaum; P Bijur; G Kuperman; P Gennis
Journal:  Appl Clin Inform       Date:  2010-11-17       Impact factor: 2.342

8.  Electronic health services: an introduction to theory and application.

Authors:  Mounir M Khalil; Ray Jones
Journal:  Libyan J Med       Date:  2007-12-01       Impact factor: 1.657

9.  The science of clinical practice: disease diagnosis or patient prognosis? Evidence about "what is likely to happen" should shape clinical practice.

Authors:  Peter Croft; Douglas G Altman; Jonathan J Deeks; Kate M Dunn; Alastair D Hay; Harry Hemingway; Linda LeResche; George Peat; Pablo Perel; Steffen E Petersen; Richard D Riley; Ian Roberts; Michael Sharpe; Richard J Stevens; Danielle A Van Der Windt; Michael Von Korff; Adam Timmis
Journal:  BMC Med       Date:  2015-01-30       Impact factor: 8.775

Review 10.  Systematic review of the effects of care provided with and without diagnostic clinical prediction rules.

Authors:  Sharon L Sanders; John Rathbone; Katy J L Bell; Paul P Glasziou; Jenny A Doust
Journal:  Diagn Progn Res       Date:  2017-04-26
  10 in total

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