Handy Point-of-Care Decision Support
Authors: Jeffrey M. Rothschild
Journal: Annals of Internal Medicine (2009)

Editorials17 November 2009Handy Point-of-Care Decision SupportJeffrey M. Rothschild, MD, MPHJeffrey M. Rothschild, MD, MPHFrom Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02120.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-151-10-200911170-00011 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Making the diagnosis of pulmonary embolism can be challenging for clinicians (1). However, reaching this diagnosis rapidly is critical both for starting early treatment in patients with confirmed pulmonary emboli and for avoiding excessive tests and unnecessary anticoagulation in patients without disease.Guidelines for working up patients suspected of having pulmonary embolism can provide a road map for the most appropriate and efficient diagnostic strategies (2). Scoring systems can guide decisions for ordering tests on the basis of the likelihood of disease in these patients (3). In particular, the revised Geneva score represents a validated prediction tool for the probability ...References1. Roy PM, Meyer G, Vielle B, Le Gall C, Verschuren F, Carpentier F, et al; EMDEPU Study Group. Appropriateness of diagnostic management and outcomes of suspected pulmonary embolism. Ann Intern Med. 2006;144:157-64. [PMID: 16461959] LinkGoogle Scholar2. Torbicki A, Perrier A, Konstantinides S, Agnelli G, Galiè N, Pruszczyk P, et al; Task Force for the Diagnosis and Management of Acute Pulmonary Embolism of the European Society of Cardiology. Guidelines on the diagnosis and management of acute pulmonary embolism: the Task Force for the Diagnosis and Management of Acute Pulmonary Embolism of the European Society of Cardiology (ESC). Eur Heart J. 2008;29:2276-315. [PMID: 18757870] CrossrefMedlineGoogle Scholar3. 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Handheld computer-based decision support reduces patient length of stay and antibiotic prescribing in critical care. J Am Med Inform Assoc. 2005;12:398-402. [PMID: 15802478] CrossrefMedlineGoogle Scholar16. Wears RL, Berg M. Computer technology and clinical work: still waiting for Godot [Editorial]. JAMA. 2005;293:1261-3. [PMID: 15755949] CrossrefMedlineGoogle Scholar17. Steinbrook R. Health care and the American Recovery and Reinvestment Act. N Engl J Med. 2009;360:1057-60. [PMID: 19224738] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02120.Acknowledgment: The author thanks Dr. David W. Bates for his thoughtful review of an earlier draft of the manuscript.Disclosures: None disclosed.Corresponding Author: Jeffrey M. Rothschild, MD, MPH, Division of General Medicine, Brigham and Women's Hospital, 1620 Tremont Street, Boston, MA 02120-1613; e-mail, [email protected]org. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoA Computerized Handheld Decision-Support System to Improve Pulmonary Embolism Diagnosis Pierre-Marie Roy , Pierre Durieux , Florence Gillaizeau , Catherine Legall , Aurore Armand-Perroux , Ludovic Martino , Mohamed Hachelaf , Alain-Eric Dubart , Jeannot Schmidt , Mirko Cristiano , Jean-Marie Chretien , Arnaud Perrier , and Guy Meyer Metrics Cited byInformatics interventions 17 November 2009Volume 151, Issue 10Page: 748-749KeywordsClinical decision support systemsComputersForecastingHealth careHospital medicineInformation technologyPatientsPulmonary diseasesPulmonary embolism ePublished: 17 November 2009 Issue Published: 17 November 2009 Copyright & PermissionsCopyright © 2009 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...