Automated Summarization of Publications Associated with Adverse Drug Reactions from PubMed

Academic literature provides rich and up-to-date information concerning adverse drug reactions (ADR), but it is time consuming and labor intensive for physicians to obtain information of ADRs from academic literature because they would have to generate queries, review retrieved articles and summarize the results. In this study, a method is developed to automatically detect and summarize ADRs from journal articles, rank them and present them to physicians in a user-friendly interface. The method studied ADRs for 6 drugs and returned on average 4.8 ADRs that were correct. The results demonstrated this method was feasible and effective. This method can be applied in clinical practice for assisting physicians to efficiently obtain information about ADRs associated with specific drugs. Automated summarization of ADR information from recent publications may facilitate translation of academic research into actionable information at point of care.

[1]  P. Maurette.  [To err is human: building a safer health system]. , 2002, Annales francaises d'anesthesie et de reanimation.

[2]  Juliane Fluck,et al.  Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports , 2012, J. Biomed. Informatics.

[3]  D W Bates,et al.  Section 1: Health and Clinical Management: Leveraging Information Technology to Improve Quality and Safety , 2007, Yearbook of Medical Informatics.

[4]  Olivier Bodenreider,et al.  Leveraging MEDLINE indexing for pharmacovigilance - Inherent limitations and mitigation strategies , 2015, J. Biomed. Informatics.

[5]  Luca Toldo,et al.  Extraction of potential adverse drug events from medical case reports , 2012, Journal of biomedical semantics.

[6]  Joseph Finkelstein,et al.  Implementing automated delivery of evidence-based medication safety information to the point of care , 2015, AMIA.

[7]  R. Wachter,et al.  Safe but sound: patient safety meets evidence-based medicine. , 2002, JAMA.

[8]  C. McDonald.  Protocol-based computer reminders, the quality of care and the non-perfectability of man. , 1976, The New England journal of medicine.

[9]  C. Friedman,et al.  A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[10]  T A Pryor,et al.  Application of a computerized medical decision-making process to the problem of digoxin intoxication. , 1984, Journal of the American College of Cardiology.

[11]  N. Laird,et al.  Incidence of Adverse Drug Events and Potential Adverse Drug Events: Implications for Prevention , 1995 .

[12]  R. Haynes,et al.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. , 1998, JAMA.

[13]  Robert G. Badgett,et al.  An experimental search strategy retrieves more precise results than PubMed and Google for questions about medical interventions , 2015, PeerJ.

[14]  R S Evans,et al.  Computerized surveillance of adverse drug events in hospital patients* , 2005, Quality and Safety in Health Care.

[15]  Siddhartha R. Dalal,et al.  Using information mining of the medical literature to improve drug safety , 2011, J. Am. Medical Informatics Assoc..

[16]  D. Greenblatt,et al.  A method for estimating the probability of adverse drug reactions , 1981, Clinical pharmacology and therapeutics.

[17]  F. Follath,et al.  Epidemiology of drug exposure and adverse drug reactions in two swiss departments of internal medicine. , 2000, British journal of clinical pharmacology.

[18]  Melissa L. Rethlefsen.  MEDLINE: A Guide to Effective Searching in PubMed and Other Interfaces , 2007 .

[19]  Joshua Borus,et al.  Adverse drug events in ambulatory care. , 2003, The New England journal of medicine.

[20]  Su Golder,et al.  Identifying systematic reviews of the adverse effects of health care interventions , 2006, BMC medical research methodology.

[21]  Shobha Phansalkar,et al.  Preventability of adverse drug events involving multiple drugs using publicly available clinical decision support tools. , 2012, American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists.

[22]  Joseph Finkelstein,et al.  Automated Determination of Publications Related to Adverse Drug Reactions in PubMed , 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.