Skip to main content
Top
Published in: International Journal of Clinical Pharmacy 5/2015

01-10-2015 | Research Article

Potential drug-related problems detected by electronic expert support system: physicians’ views on clinical relevance

Authors: Tora Hammar, Bodil Lidström, Göran Petersson, Yngve Gustafson, Birgit Eiermann

Published in: International Journal of Clinical Pharmacy | Issue 5/2015

Login to get access

Abstract

Background Drug-related problems cause suffering for patients and substantial costs. Multi-dose drug dispensing is a service in which patients receive their medication packed in bags with one unit for each dose occasion. The electronic expert support system (EES) is a clinical decision support system that provides alerts if potential drug-related problems are detected among a patients’ current prescriptions, including drug–drug interactions, therapy duplications, high doses, drug-disease interactions, drug gender warnings, and inappropriate drugs and doses for geriatric or pediatric patients. Objective The aim of the study was to explore physicians’ views on the clinical relevance of alerts provided by EES. Furthermore we investigated if physicians performed any changes in drug treatment following the alerts and if there were any differences in perceived relevance and performed changes between different types of alerts and drugs. Setting Two geriatric clinics and three primary care units in Sweden. Method Prescribed medications for patients (n = 254) with multi-dose drug dispensing were analyzed for potential drug-related problems using EES. For each alert, a physician assessed clinical relevance and indicated any intended action. A total of 15 physicians took part in the study. Changes in drug treatment following the alerts were later measured. The relationship between variables was analyzed using Chi square test. Main outcome measure Physicians’ perceived clinical relevance of each alert, and changes in drug treatment following the alerts. Results Physicians perceived 68 % (502/740) of EES alerts as clinically relevant and 11 % of all alerts were followed by a change in drug treatment. Clinical relevance and likelihood to make changes in drug treatment was related to the alert category and substances involved in the alert. Conclusion In most patients with multi-dose drug dispensing, EES detected potential drug-related problems, with the majority of the alerts regarded as clinically relevant and some followed by measurable changes in drug treatment.
Literature
1.
go back to reference Juurlink DN, Mamdani M, Kopp A, Laupacis A, Redelmeier DA. Drug-drug interactions among elderly patients hospitalized for drug toxicity. JAMA. 2003;289(13):1652–8.CrossRefPubMed Juurlink DN, Mamdani M, Kopp A, Laupacis A, Redelmeier DA. Drug-drug interactions among elderly patients hospitalized for drug toxicity. JAMA. 2003;289(13):1652–8.CrossRefPubMed
2.
go back to reference Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA. 1998;279(15):1200–5.CrossRefPubMed Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA. 1998;279(15):1200–5.CrossRefPubMed
3.
go back to reference Strandell J, Wahlin S. Pharmacodynamic and pharmacokinetic drug interactions reported to VigiBase, the WHO global individual case safety report database. Eur J Clin Pharmacol. 2011;67(6):633–41.CrossRefPubMed Strandell J, Wahlin S. Pharmacodynamic and pharmacokinetic drug interactions reported to VigiBase, the WHO global individual case safety report database. Eur J Clin Pharmacol. 2011;67(6):633–41.CrossRefPubMed
5.
go back to reference Spinewine A, Schmader KE, Barber N, Hughes C, Lapane KL, Swine C, et al. Appropriate prescribing in elderly people: how well can it be measured and optimised? Lancet. 2007;370(9582):173–84.CrossRefPubMed Spinewine A, Schmader KE, Barber N, Hughes C, Lapane KL, Swine C, et al. Appropriate prescribing in elderly people: how well can it be measured and optimised? Lancet. 2007;370(9582):173–84.CrossRefPubMed
6.
go back to reference Topinkova E, Baeyens JP, Michel JP, Lang PO. Evidence-based strategies for the optimization of pharmacotherapy in older people. Drugs Aging. 2012;29(6):477–94.CrossRefPubMed Topinkova E, Baeyens JP, Michel JP, Lang PO. Evidence-based strategies for the optimization of pharmacotherapy in older people. Drugs Aging. 2012;29(6):477–94.CrossRefPubMed
7.
go back to reference Rahmner PB, Eiermann B, Korkmaz S, Gustafsson LL, Gruven M, Maxwell S, et al. Physicians’ reported needs of drug information at point of care in Sweden. Br J Clin Pharmacol. 2012;73(1):115–25.PubMedCentralCrossRefPubMed Rahmner PB, Eiermann B, Korkmaz S, Gustafsson LL, Gruven M, Maxwell S, et al. Physicians’ reported needs of drug information at point of care in Sweden. Br J Clin Pharmacol. 2012;73(1):115–25.PubMedCentralCrossRefPubMed
8.
go back to reference McKibbon KA, Lokker C, Handler SM, Dolovich LR, Holbrook AM, O’Reilly D, et al. The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials. J Am Med Inform Assoc. 2012;19(1):22–30.PubMedCentralCrossRefPubMed McKibbon KA, Lokker C, Handler SM, Dolovich LR, Holbrook AM, O’Reilly D, et al. The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials. J Am Med Inform Assoc. 2012;19(1):22–30.PubMedCentralCrossRefPubMed
9.
go back to reference Eiermann B, Bastholm Rahmner P, Korkmaz S, Landberg C, Lilja B, Shemeikka T, et al. Knowledge bases for clinical decision support in drug prescribing—development, quality assurance, management, integration, implementation and evaluation of clinical value. In: Jao CS, editor. Decision support systems. Croatia: InTech; 2010. Eiermann B, Bastholm Rahmner P, Korkmaz S, Landberg C, Lilja B, Shemeikka T, et al. Knowledge bases for clinical decision support in drug prescribing—development, quality assurance, management, integration, implementation and evaluation of clinical value. In: Jao CS, editor. Decision support systems. Croatia: InTech; 2010.
10.
go back to reference Coleman JJ, van der Sijs H, Haefeli WE, Slight SP, McDowell SE, Seidling HM, et al. On the alert: future priorities for alerts in clinical decision support for computerized physician order entry identified from a European workshop. BMC Med Inform Decis Mak. 2013;13:111.PubMedCentralCrossRefPubMed Coleman JJ, van der Sijs H, Haefeli WE, Slight SP, McDowell SE, Seidling HM, et al. On the alert: future priorities for alerts in clinical decision support for computerized physician order entry identified from a European workshop. BMC Med Inform Decis Mak. 2013;13:111.PubMedCentralCrossRefPubMed
11.
go back to reference McKibbon KA, Lokker C, Handler SM, Dolovich LR, Holbrook AM, O’Reilly D, et al. Enabling medication management through health information technology (Health IT). Evid Rep Technol Assess (Full Rep). 2011;201:1–951.PubMed McKibbon KA, Lokker C, Handler SM, Dolovich LR, Holbrook AM, O’Reilly D, et al. Enabling medication management through health information technology (Health IT). Evid Rep Technol Assess (Full Rep). 2011;201:1–951.PubMed
12.
go back to reference Black AD, Car J, Pagliari C, Anandan C, Cresswell K, Bokun T, et al. The impact of eHealth on the quality and safety of health care: a systematic overview. PLOS Med. 2011;8(1):e1000387.PubMedCentralCrossRefPubMed Black AD, Car J, Pagliari C, Anandan C, Cresswell K, Bokun T, et al. The impact of eHealth on the quality and safety of health care: a systematic overview. PLOS Med. 2011;8(1):e1000387.PubMedCentralCrossRefPubMed
13.
go back to reference Bates DW, Cohen M, Leape LL, Overhage JM, Shabot MM, Sheridan T. White paper—reducing the frequency of errors in medicine using information technology. J Am Med Inform Assoc. 2001;8(4):299–308.PubMedCentralCrossRefPubMed Bates DW, Cohen M, Leape LL, Overhage JM, Shabot MM, Sheridan T. White paper—reducing the frequency of errors in medicine using information technology. J Am Med Inform Assoc. 2001;8(4):299–308.PubMedCentralCrossRefPubMed
14.
go back to reference Huckvale C, Car J, Akiyama M, Jaafar S, Khoja T, Bin Khalid A, et al. Information technology for patient safety. Qual Saf Health Care. 2010;19(Suppl 2):i25–33.CrossRefPubMed Huckvale C, Car J, Akiyama M, Jaafar S, Khoja T, Bin Khalid A, et al. Information technology for patient safety. Qual Saf Health Care. 2010;19(Suppl 2):i25–33.CrossRefPubMed
15.
go back to reference Osheroff JA, Teich JM, Middleton B, Steen EB, Wright A, Detmer DE. A roadmap for national action on clinical decision support. J Am Med Inform Assoc. 2007;14(2):141–5.PubMedCentralCrossRefPubMed Osheroff JA, Teich JM, Middleton B, Steen EB, Wright A, Detmer DE. A roadmap for national action on clinical decision support. J Am Med Inform Assoc. 2007;14(2):141–5.PubMedCentralCrossRefPubMed
16.
go back to reference Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223–38.CrossRefPubMed Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223–38.CrossRefPubMed
17.
go back to reference Kuperman GJ, Bobb A, Payne TH, Avery AJ, Gandhi TK, Burns G, et al. Medication-related clinical decision support in computerized provider order entry systems: a review. J Am Med Inform Assoc. 2007;14(1):29–40.PubMedCentralCrossRefPubMed Kuperman GJ, Bobb A, Payne TH, Avery AJ, Gandhi TK, Burns G, et al. Medication-related clinical decision support in computerized provider order entry systems: a review. J Am Med Inform Assoc. 2007;14(1):29–40.PubMedCentralCrossRefPubMed
18.
go back to reference Robertson J, Walkom E, Pearson SA, Hains I, Williamsone M, Newby D. The impact of pharmacy computerised clinical decision support on prescribing, clinical and patient outcomes: a systematic review of the literature. Int J Pharm Pract. 2010;18(2):69–87.PubMed Robertson J, Walkom E, Pearson SA, Hains I, Williamsone M, Newby D. The impact of pharmacy computerised clinical decision support on prescribing, clinical and patient outcomes: a systematic review of the literature. Int J Pharm Pract. 2010;18(2):69–87.PubMed
19.
go back to reference Hemens BJ, Holbrook A, Tonkin M, Mackay JA, Weise-Kelly L, Navarro T, et al. Computerized clinical decision support systems for drug prescribing and management: a decision-maker-researcher partnership systematic review. Implement Sci. 2011;6:89.PubMedCentralCrossRefPubMed Hemens BJ, Holbrook A, Tonkin M, Mackay JA, Weise-Kelly L, Navarro T, et al. Computerized clinical decision support systems for drug prescribing and management: a decision-maker-researcher partnership systematic review. Implement Sci. 2011;6:89.PubMedCentralCrossRefPubMed
20.
go back to reference Jaspers MW, Smeulers M, Vermeulen H, Peute LW. Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings. J Am Med Inform Assoc. 2011;18(3):327–34.PubMedCentralCrossRefPubMed Jaspers MW, Smeulers M, Vermeulen H, Peute LW. Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings. J Am Med Inform Assoc. 2011;18(3):327–34.PubMedCentralCrossRefPubMed
21.
go back to reference Seidling HM, Schmitt SP, Bruckner T, Kaltschmidt J, Pruszydlo MG, Senger C, et al. Patient-specific electronic decision support reduces prescription of excessive doses. Qual Saf Health Care. 2010;19(5):e15.PubMed Seidling HM, Schmitt SP, Bruckner T, Kaltschmidt J, Pruszydlo MG, Senger C, et al. Patient-specific electronic decision support reduces prescription of excessive doses. Qual Saf Health Care. 2010;19(5):e15.PubMed
22.
go back to reference Scott GP, Shah P, Wyatt JC, Makubate B, Cross FW. Making electronic prescribing alerts more effective: scenario-based experimental study in junior doctors. J Am Med Inform Assoc. 2011;18(6):789–98.PubMedCentralCrossRefPubMed Scott GP, Shah P, Wyatt JC, Makubate B, Cross FW. Making electronic prescribing alerts more effective: scenario-based experimental study in junior doctors. J Am Med Inform Assoc. 2011;18(6):789–98.PubMedCentralCrossRefPubMed
23.
go back to reference Mollon B, Chong J Jr, Holbrook AM, Sung M, Thabane L, Foster G. Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials. BMC Med Inform Decis Mak. 2009;9:11.PubMedCentralCrossRefPubMed Mollon B, Chong J Jr, Holbrook AM, Sung M, Thabane L, Foster G. Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials. BMC Med Inform Decis Mak. 2009;9:11.PubMedCentralCrossRefPubMed
24.
go back to reference Horsky J, Phansalkar S, Desai A, Bell D, Middleton B. Design of decision support interventions for medication prescribing. Int J Med Inform. 2013;82(6):492–503.CrossRefPubMed Horsky J, Phansalkar S, Desai A, Bell D, Middleton B. Design of decision support interventions for medication prescribing. Int J Med Inform. 2013;82(6):492–503.CrossRefPubMed
25.
go back to reference Riedmann D, Jung M, Hackl WO, Ammenwerth E. How to improve the delivery of medication alerts within computerized physician order entry systems: an international Delphi study. J Am Med Inform Assoc. 2011;18(6):760–6.PubMedCentralCrossRefPubMed Riedmann D, Jung M, Hackl WO, Ammenwerth E. How to improve the delivery of medication alerts within computerized physician order entry systems: an international Delphi study. J Am Med Inform Assoc. 2011;18(6):760–6.PubMedCentralCrossRefPubMed
26.
go back to reference Nanji KC, Slight SP, Seger DL, Cho I, Fiskio JM, Redden LM, et al. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014;21(3):487–91.PubMedCentralCrossRefPubMed Nanji KC, Slight SP, Seger DL, Cho I, Fiskio JM, Redden LM, et al. Overrides of medication-related clinical decision support alerts in outpatients. J Am Med Inform Assoc. 2014;21(3):487–91.PubMedCentralCrossRefPubMed
27.
go back to reference Slight SP, Nanji KC, Seger DL, Cho I, Volk LA, Bates DW. Overrides of clinical decision support alerts in primary care clinics. Stud Health Technol Inform. 2013;192:923.PubMed Slight SP, Nanji KC, Seger DL, Cho I, Volk LA, Bates DW. Overrides of clinical decision support alerts in primary care clinics. Stud Health Technol Inform. 2013;192:923.PubMed
28.
go back to reference Hammar T, Hovstadius B, Lidström B, Petersson G, Eiermann B. Potential drug related problems detected by electronic expert support system in patients with multi-dose drug dispensing. Int J Clin Pharm. 2014;36(5):943–52.CrossRef Hammar T, Hovstadius B, Lidström B, Petersson G, Eiermann B. Potential drug related problems detected by electronic expert support system in patients with multi-dose drug dispensing. Int J Clin Pharm. 2014;36(5):943–52.CrossRef
29.
go back to reference Ucar A. Assessment of clinical relevance of alerts from EES used at an emergency department. Uppsala University: Department of pharmaceutical bioscience, 2011 [In Swedish]. Ucar A. Assessment of clinical relevance of alerts from EES used at an emergency department. Uppsala University: Department of pharmaceutical bioscience, 2011 [In Swedish].
30.
go back to reference Johnell K, Fastbom J. Multi-dose drug dispensing and inappropriate drug use: a nationwide register-based study of over 700000 elderly. Scand J Prim Health Care. 2008;26(2):86–91.PubMedCentralCrossRefPubMed Johnell K, Fastbom J. Multi-dose drug dispensing and inappropriate drug use: a nationwide register-based study of over 700000 elderly. Scand J Prim Health Care. 2008;26(2):86–91.PubMedCentralCrossRefPubMed
31.
go back to reference Sjoberg C, Edward C, Fastbom J, Johnell K, Landahl S, Narbro K, et al. Association between multi-dose drug dispensing and quality of drug treatment—a register-based study. PLoS One. 2011;6(10):e26574.PubMedCentralCrossRefPubMed Sjoberg C, Edward C, Fastbom J, Johnell K, Landahl S, Narbro K, et al. Association between multi-dose drug dispensing and quality of drug treatment—a register-based study. PLoS One. 2011;6(10):e26574.PubMedCentralCrossRefPubMed
32.
go back to reference Wallerstedt SM, Fastbom J, Johnell K, Sjoberg C, Landahl S, Sundstrom A. Drug treatment in older people before and after the transition to a multi-dose drug dispensing system—a longitudinal analysis. PLoS One. 2013;8(6):e67088.PubMedCentralCrossRefPubMed Wallerstedt SM, Fastbom J, Johnell K, Sjoberg C, Landahl S, Sundstrom A. Drug treatment in older people before and after the transition to a multi-dose drug dispensing system—a longitudinal analysis. PLoS One. 2013;8(6):e67088.PubMedCentralCrossRefPubMed
33.
go back to reference Sinnemaki J, Sihvo S, Isojarvi J, Blom M, Airaksinen M, Mantyla A. Automated dose dispensing service for primary healthcare patients: a systematic review. Syst Rev. 2013;2:1.PubMedCentralCrossRefPubMed Sinnemaki J, Sihvo S, Isojarvi J, Blom M, Airaksinen M, Mantyla A. Automated dose dispensing service for primary healthcare patients: a systematic review. Syst Rev. 2013;2:1.PubMedCentralCrossRefPubMed
34.
go back to reference Johnell K, Klarin I. The relationship between number of drugs and potential drug-drug interactions in the elderly: a study of over 600,000 elderly patients from the Swedish Prescribed Drug Register. Drug Saf. 2007;30(10):911–8.CrossRefPubMed Johnell K, Klarin I. The relationship between number of drugs and potential drug-drug interactions in the elderly: a study of over 600,000 elderly patients from the Swedish Prescribed Drug Register. Drug Saf. 2007;30(10):911–8.CrossRefPubMed
35.
go back to reference Olsson J, Bergman A, Carlsten A, Oke T, Bernsten C, Schmidt IK, et al. Quality of drug prescribing in elderly people in nursing homes and special care units for dementia: a cross-sectional computerized pharmacy register analysis. Clin Drug Investig. 2010;30(5):289–300.CrossRefPubMed Olsson J, Bergman A, Carlsten A, Oke T, Bernsten C, Schmidt IK, et al. Quality of drug prescribing in elderly people in nursing homes and special care units for dementia: a cross-sectional computerized pharmacy register analysis. Clin Drug Investig. 2010;30(5):289–300.CrossRefPubMed
36.
go back to reference Ruggiero C, Lattanzio F, Dell’Aquila G, Gasperini B, Cherubini A. Inappropriate drug prescriptions among older nursing home residents: the Italian perspective. Drugs Aging. 2009;26(Suppl 1):15–30.CrossRefPubMed Ruggiero C, Lattanzio F, Dell’Aquila G, Gasperini B, Cherubini A. Inappropriate drug prescriptions among older nursing home residents: the Italian perspective. Drugs Aging. 2009;26(Suppl 1):15–30.CrossRefPubMed
37.
go back to reference Lao CK, Ho SC, Chan KK, Tou CF, Tong HH, Chan A. Potentially inappropriate prescribing and drug-drug interactions among elderly Chinese nursing home residents in Macao. Int J Clin Pharm. 2013;35(5):805–12.CrossRefPubMed Lao CK, Ho SC, Chan KK, Tou CF, Tong HH, Chan A. Potentially inappropriate prescribing and drug-drug interactions among elderly Chinese nursing home residents in Macao. Int J Clin Pharm. 2013;35(5):805–12.CrossRefPubMed
38.
go back to reference Wahab MS, Nyfort-Hansen K, Kowalski SR. Inappropriate prescribing in hospitalised Australian elderly as determined by the STOPP criteria. Int J Clin Pharm. 2012;34(6):855–62.CrossRefPubMed Wahab MS, Nyfort-Hansen K, Kowalski SR. Inappropriate prescribing in hospitalised Australian elderly as determined by the STOPP criteria. Int J Clin Pharm. 2012;34(6):855–62.CrossRefPubMed
39.
go back to reference Jani YH, Barber N, Wong IC. Characteristics of clinical decision support alert overrides in an electronic prescribing system at a tertiary care paediatric hospital. Int J Pharm Pract. 2011;19(5):363–6.CrossRefPubMed Jani YH, Barber N, Wong IC. Characteristics of clinical decision support alert overrides in an electronic prescribing system at a tertiary care paediatric hospital. Int J Pharm Pract. 2011;19(5):363–6.CrossRefPubMed
40.
go back to reference van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13(2):138–47.PubMedCentralCrossRefPubMed van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13(2):138–47.PubMedCentralCrossRefPubMed
41.
go back to reference van der Sijs H, Mulder A, van Gelder T, Aarts J, Berg M, Vulto A. Drug safety alert generation and overriding in a large Dutch university medical centre. Pharmacoepidemiol Drug Saf. 2009;18(10):941–7.CrossRefPubMed van der Sijs H, Mulder A, van Gelder T, Aarts J, Berg M, Vulto A. Drug safety alert generation and overriding in a large Dutch university medical centre. Pharmacoepidemiol Drug Saf. 2009;18(10):941–7.CrossRefPubMed
42.
go back to reference Phansalkar S, Desai A, Choksi A, Yoshida E, Doole J, Czochanski M, et al. Criteria for assessing high-priority drug-drug interactions for clinical decision support in electronic health records. BMC Med Inform Decis Mak. 2013;13(1):65.PubMedCentralCrossRefPubMed Phansalkar S, Desai A, Choksi A, Yoshida E, Doole J, Czochanski M, et al. Criteria for assessing high-priority drug-drug interactions for clinical decision support in electronic health records. BMC Med Inform Decis Mak. 2013;13(1):65.PubMedCentralCrossRefPubMed
43.
go back to reference Seidling HM, Klein U, Schaier M, Czock D, Theile D, Pruszydlo MG, et al. What, if all alerts were specific—estimating the potential impact on drug interaction alert burden. Int J Med Inform. 2014;83(4):285–91.CrossRefPubMed Seidling HM, Klein U, Schaier M, Czock D, Theile D, Pruszydlo MG, et al. What, if all alerts were specific—estimating the potential impact on drug interaction alert burden. Int J Med Inform. 2014;83(4):285–91.CrossRefPubMed
44.
go back to reference Duke JD, Li X, Dexter P. Adherence to drug-drug interaction alerts in high-risk patients: a trial of context-enhanced alerting. J Am Med Inform Assoc. 2013;20(3):494–8.PubMedCentralCrossRefPubMed Duke JD, Li X, Dexter P. Adherence to drug-drug interaction alerts in high-risk patients: a trial of context-enhanced alerting. J Am Med Inform Assoc. 2013;20(3):494–8.PubMedCentralCrossRefPubMed
45.
go back to reference Bryant AD, Fletcher GS, Payne TH. Drug interaction alert override rates in the Meaningful Use era: no evidence of progress. Appl Clin Inform. 2014;5(3):802–13.PubMedCentralCrossRefPubMed Bryant AD, Fletcher GS, Payne TH. Drug interaction alert override rates in the Meaningful Use era: no evidence of progress. Appl Clin Inform. 2014;5(3):802–13.PubMedCentralCrossRefPubMed
46.
go back to reference Slight SP, Seger DL, Nanji KC, Cho I, Maniam N, Dykes PC, et al. Are we heeding the warning signs? Examining providers’ overrides of computerized drug-drug interaction alerts in primary care. PLoS One. 2013;8(12):e85071.PubMedCentralCrossRefPubMed Slight SP, Seger DL, Nanji KC, Cho I, Maniam N, Dykes PC, et al. Are we heeding the warning signs? Examining providers’ overrides of computerized drug-drug interaction alerts in primary care. PLoS One. 2013;8(12):e85071.PubMedCentralCrossRefPubMed
47.
go back to reference McCoy AB, Thomas EJ, Krousel-Wood M, Sittig DF. Clinical decision support alert appropriateness: a review and proposal for improvement. Ochsner J. 2014;14(2):195–202.PubMedCentralPubMed McCoy AB, Thomas EJ, Krousel-Wood M, Sittig DF. Clinical decision support alert appropriateness: a review and proposal for improvement. Ochsner J. 2014;14(2):195–202.PubMedCentralPubMed
Metadata
Title
Potential drug-related problems detected by electronic expert support system: physicians’ views on clinical relevance
Authors
Tora Hammar
Bodil Lidström
Göran Petersson
Yngve Gustafson
Birgit Eiermann
Publication date
01-10-2015
Publisher
Springer Netherlands
Published in
International Journal of Clinical Pharmacy / Issue 5/2015
Print ISSN: 2210-7703
Electronic ISSN: 2210-7711
DOI
https://doi.org/10.1007/s11096-015-0146-8

Other articles of this Issue 5/2015

International Journal of Clinical Pharmacy 5/2015 Go to the issue