Communication failure: analysis of prescribers’ use of an internal free-text field on electronic prescriptions

Importance Electronic prescribing promises to improve the safety and clarity of prescriptions. However, it also can introduce miscommunication between prescribers and pharmacists. There are situations where information that is meant to be sent to pharmacists is not sent to them, which has the potential for dangerous errors. Objective To examine how frequently prescribers or administrative personnel put information intended for pharmacists in a field not sent to pharmacists, classify the type of information included, and assess the potential harm associated with these missed messages. Design, Setting, Participants Medication record data from our legacy electronic health record were requested for ambulatory care patients seen at an academic medical center from January 1, 2000, to May 31, 2015 (20 123 881 records). From this database, 6 060 272 medication orders met our inclusion criteria. We analyzed a random sample of 10 000 medication orders with internal comments. Main Outcomes and Measures Reviewers classified internal comments for intent. Comments intended for pharmacists were also sorted into descriptive categories and analyzed for the potential for patient harm. Results We found that 11.7% of the prescriptions in our sample contained comments that were intended to be sent to pharmacists. Many comments contained information about the dose, route, or duration of the prescription (38.0%). Approximately a third of the comments intended for pharmacists contained information that had the potential for significant or severe harm if not communicated. Conclusion We found undelivered comments that were clearly intended for pharmacists and contained important information for either pharmacists or patients. This poses a legitimate safety concern, as a portion of comments contained information that could have prevented severe or significant harm.

[1]  Alexander Turchin,et al.  An unintended consequence of electronic prescriptions: prevalence and impact of internal discrepancies , 2010, J. Am. Medical Informatics Assoc..

[2]  C. Vogeli,et al.  Effect of electronic prescribing with formulary decision support on medication use and cost. , 2008, Archives of internal medicine.

[3]  Leila C. Kahwati,et al.  Medication TherapyManagement Interventions in Outpatient Settings , 2014 .

[4]  Rainu Kaushal,et al.  Electronic prescribing within an electronic health record reduces ambulatory prescribing errors. , 2011, Joint Commission journal on quality and patient safety.

[5]  The value of adding a verbal report to written handoffs on early readmission following prolonged respiratory failure. , 2010, Chest.

[6]  Hardeep Singh,et al.  Analysis of Prescribers' Notes in Electronic Prescriptions in Ambulatory Practice. , 2016, JAMA internal medicine.

[7]  Adam Wright,et al.  Incorporating Indications into Medication Ordering--Time to Enter the Age of Reason. , 2016, The New England journal of medicine.

[8]  B. Franklin,et al.  The effects of electronic prescribing on the quality of prescribing. , 2008, British journal of clinical pharmacology.

[9]  Anilkrishna B. Thota,et al.  Team-based care and improved blood pressure control: a community guide systematic review. , 2014, American journal of preventive medicine.

[10]  Mollie Ashe Scott,et al.  Integration of pharmacists into a patient-centered medical home. , 2011, Journal of the American Pharmacists Association : JAPhA.

[11]  A. Kind,et al.  The Consequences of Poor Communication During Transitions from Hospital to Skilled Nursing Facility: A Qualitative Study , 2013, Journal of the American Geriatrics Society.

[12]  David W Bates,et al.  Pharmacists belong in accountable care organizations and integrated care teams. , 2013, Health affairs.

[13]  Lisa P. Newmark,et al.  Impact of ambulatory computerized physician order entry on clinicians' time. , 2008, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[14]  A. Law,et al.  Design and test of preference for a new prescription medication label , 2011, International Journal of Clinical Pharmacy.

[15]  Dave L Dixon,et al.  Collaborative Drug Therapy Management and Comprehensive Medication Management―2015 , 2015, Pharmacotherapy.

[16]  A Team-based Model of Primary Care Delivery and Physician-patient Interaction. , 2015, The American journal of medicine.

[17]  J M Teich,et al.  Impact of computerized physician order entry on physician time. , 1994, Proceedings. Symposium on Computer Applications in Medical Care.

[18]  G. Schiff,et al.  Computerized prescribing: building the electronic infrastructure for better medication usage. , 1998, JAMA.

[19]  Zachary A Weber,et al.  Integration of pharmacists into team-based ambulatory care practice models. , 2015, American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists.

[20]  Douglas S. Bell,et al.  Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence , 2014, BMC Medical Informatics and Decision Making.

[21]  Jeffrey L Schnipper,et al.  Clinical pharmacists and inpatient medical care: a systematic review. , 2006, Archives of internal medicine.

[22]  David W. Bates,et al.  Reducing the frequency of errors in medicine using information technology. , 2001, Journal of the American Medical Informatics Association : JAMIA.

[23]  I. Wong,et al.  Paediatric dosing errors before and after electronic prescribing , 2010, Quality and Safety in Health Care.

[24]  Gilad J. Kuperman,et al.  Alert Override Reasons: A Failure to Communicate , 2008, AMIA.

[25]  A. Strauss,et al.  The discovery of grounded theory: strategies for qualitative research aldine de gruyter , 1968 .

[26]  Leila C. Kahwati,et al.  Medication therapy management interventions in outpatient settings: a systematic review and meta-analysis. , 2015, JAMA internal medicine.