Literature DB >> 10471241

Detecting adverse drug reactions to improve patient outcomes.

T J Hannan1.   

Abstract

Adverse drug reactions and inappropriate administration of medications account for poor outcomes for patients. They place patients in life-threatening situations, lead to increased health care costs, extend length of stay in hospitals, as well as increasing litigation. This paper will highlight the incidence of adverse drug events (ADE) in health care and show the low rate of detection within conventional medical records. I will also show how electronic medical records (EMR) improve detection of ADE, enhance clinician compliance to their management, improve patient outcomes, and reduce health care costs.

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Year:  1999        PMID: 10471241     DOI: 10.1016/s1386-5056(99)00020-9

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  8 in total

1.  Integration of health care process analysis in the design of a clinical information system: applying to the blood transfusion process.

Authors:  P Staccini; M Joubert; J F Quaranta; D Fieschi; M Fieschi
Journal:  Proc AMIA Symp       Date:  2000

2.  Drug-induced life-threatening potassium disturbances detected by a pharmacovigilance program from laboratory signals.

Authors:  Elena Ramírez; Tomás Rossignoli; Armando J Campos; Raúl Muñoz; Claudia Zegarra; Hoi Tong; Nicolás Medrano; Alberto M Borobia; Antonio J Carcas; Jesús Frías
Journal:  Eur J Clin Pharmacol       Date:  2012-05-31       Impact factor: 2.953

3.  Utilization of information technology in eastern North Carolina physician practices: determining the existence of a digital divide.

Authors:  David A Rosenthal; Elizabeth J Layman
Journal:  Perspect Health Inf Manag       Date:  2008-02-13

4.  Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach.

Authors:  Theodora S Brisimi; Tingting Xu; Taiyao Wang; Wuyang Dai; William G Adams; Ioannis Ch Paschalidis
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2018-02-06       Impact factor: 10.961

5.  Prediction of hospitalization due to heart diseases by supervised learning methods.

Authors:  Wuyang Dai; Theodora S Brisimi; William G Adams; Theofanie Mela; Venkatesh Saligrama; Ioannis Ch Paschalidis
Journal:  Int J Med Inform       Date:  2014-10-16       Impact factor: 4.046

Review 6.  Health information technology in oncology practice: a literature review.

Authors:  G Fasola; M Macerelli; A Follador; K Rihawi; G Aprile; V Della Mea
Journal:  Cancer Inform       Date:  2014-12-01

7.  Pilot Algorithm Designed to Help Early Detection of HMG-CoA Reductase Inhibitor-Induced Hepatotoxicity.

Authors:  Joo Young Hong; Hun-Sung Kim; In Young Choi
Journal:  Healthc Inform Res       Date:  2017-07-31

8.  Incidence of Suspected Serious Adverse Drug Reactions in Corona Virus Disease-19 Patients Detected by a Pharmacovigilance Program by Laboratory Signals in a Tertiary Hospital in Spain: Cautionary Data.

Authors:  Elena Ramírez; Mikel Urroz; Amelia Rodríguez; Miguel González-Muñoz; Alberto Martín-Vega; Yuri Villán; Enrique Seco; Jaime Monserrat; Jesús Frías; Antonio J Carcas; Alberto M Borobia
Journal:  Front Pharmacol       Date:  2020-12-03       Impact factor: 5.810

  8 in total

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