Implementation of a myasthenia gravis drug-disease interaction clinical decision support tool reduces prescribing of high-risk medications.

INTRODUCTION/AIMS: High-risk medication exposure is a modifiable risk factor for myasthenic exacerbation and crisis. We evaluated whether real-time electronic clinical decision support (CDS) was effective in reducing the rate of prescribing potentially high-risk medications to avoid or use with caution in patients with myasthenia gravis. METHODS: An expert panel reviewed the available drug-disease pairings and associated severity levels to activate the alerts for CDS. All unique alerts activated in both inpatient and outpatient contexts were analyzed over a two-year period. Clinical context, alert severity, medication class, and alert action were collected. The primary outcome was alert override rate. Secondary outcomes included the percentage of unique medication exposures avoided and predictors of alert override. RESULTS: During the analysis period, 2817 unique alerts fired, representing 830 distinct patient-medication exposures for 577 unique patients. The overall alert override rate was 85% (80.3% for inpatient alerts and 95.8% for outpatient alerts). Of unique medication-patient exposures, 19% were avoided because of the alert. Assigned alert severity of "contraindicated" were less likely to be overridden (odds ratio [OR] 0.42, 95% confidence interval [CI] 0.32-0.56), as well as alerts activated during evening staffing (OR 0.69, 95% CI 0.55-0.87). DISCUSSION: Implementation of a myasthenia gravis drug-disease interaction alert reduced overall patient exposure to potentially harmful medications by approximately 19%. Future optimization includes enhanced provider and pharmacist education. Further refinement of alert logic criteria to optimize medication risk reduction and reduce alert fatigue is warranted to support clinicians in prescribing and reduce electronic health record time burden.

Improving Allergy Documentation: A Retrospective Electronic Health Record System-Wide Patient Safety Initiative.

OBJECTIVES: Documentation of allergies in a coded, non-free-text format in the electronic health record (EHR) triggers clinical decision support to prevent adverse events. Health system-wide patient safety initiatives to improve EHR allergy documentation by specifically decreasing free-text allergy entries have not been reported. The goal of this initiative was to systematically reduce free-text allergen entries in the EHR allergy module. METHODS: We assessed free-text allergy entries in a commercial EHR used at a multihospital integrated health care system in the greater Boston area. Using both manual and automated methods, a multidisciplinary consensus group prioritized high-risk and frequently used free-text allergens for conversion to coded entries, added new allergen entries, and deleted duplicate allergen entries. Environmental allergies were moved to the patient problem list. RESULTS: We identified 242,330 free-text entries, which included a variety of environmental allergies (42%), food allergies (18%), contrast media allergies (13%), "no known allergy" (12%), drug allergies (2%), and "no contrast allergy" (2%). Most free-text entries were entered by medical assistants in ambulatory settings (34%) and registered nurses in perioperative settings (20%). We remediated a total of 52,206 free-text entries with automated methods and 79,578 free-text entries with manual methods. CONCLUSIONS: Through this multidisciplinary intervention, we identified and remediated 131,784 free-text entries in our EHR to improve clinical decision support and patient safety. Additional strategies are required to completely eliminate free-text allergy entry, and establish systematic, consistent, and safe guidelines for documenting allergies.

Design and implementation of an application and associated services to support interdisciplinary medication reconciliation efforts at an integrated healthcare delivery network.

Confusion about patients' medication regimens during the hospital admission and discharge process accounts for many preventable and serious medication errors. Many organizations have begun to redesign their clinical processes to address this patient safety concern. Partners HealthCare, an integrated delivery network in Boston, Massachusetts, has answered this interdisciplinary challenge by leveraging its multiple outpatient electronic medical records (EMR) and inpatient computerized provider order entry (CPOE) systems to facilitate the process of medication reconciliation. This manuscript describes the design of a novel application and the associated services that aggregate medication data from EMR and CPOE systems so that clinicians can efficiently generate an accurate pre-admission medication list. Information collected with the use of this application subsequently supports the writing of admission and discharge orders by physicians, performance of admission assessment by nurses, and reconciliation of inpatient orders by pharmacists. Results from early pilot testing suggest that this new medication reconciliation process is well accepted by clinicians and has significant potential to prevent medication errors during transitions of care.

Argatroban and lepirudin requirements in a 6-year-old patient with heparin-induced thrombocytopenia.

A 6-year-old girl required argatroban at dosages up to 18 mug/kg/minute for treatment of heparin-induced thrombocytopenia (HIT) type 2; however, her activated partial thromboplastin time (aPTT) values remained subtherapeutic. Treatment was converted to lepirudin, which resulted in therapeutic aPTT values, and later to long-term warfarin therapy; no further thromboembolic incidents occurred. The reporting of cases of HIT in prepubertal patients has generally been scarce. Argatroban and lepirudin dosing and pharmacokinetics have not yet been established for young children. The argatroban dosage for this patient exceeded the upper limit of the dose range for adults. Several possible explanations for why argatroban did not illustrate typical first-order pharmacokinetics in this patient are discussed, and the pharmacokinetics and pharmacodynamics of argatroban are compared with those of lepirudin, with special consideration given to the pediatric population.

Designing an electronic medication reconciliation system.

Unintended medication discrepancies at hospital admission and discharge potentially harm patients. Explicit medication reconciliation (MR) can prevent unintended discrepancies among care settings and is mandated by JCAHO for 2005. Enterprise-wide, we are linking pre-admission and discharge medication lists in our outpatient electronic health records (EHR) with our inpatient order entry applications (OE) - currently not interoperable - to support MR and inform the development of comprehensive MR among hospitalized patients.

Effect of renal function on the pharmacodynamics of argatroban.

BACKGROUND: Argatroban is a direct thrombin inhibitor used to treat heparin-induced thrombocytopenia (HIT). Argatroban is primarily cleared by hepatic mechanisms, with only small amounts of unchanged drug cleared by the kidneys. OBJECTIVE: To assess the effects of renal function on argatroban dose and activated partial thromboplastin time (aPTT). METHODS: Patients treated with argatroban were identified and prospectively screened. Patients with liver dysfunction were excluded from the analysis. Charts and laboratory data were reviewed daily until a therapeutic aPTT was reached or argatroban was discontinued. Data points collected included age, weight, gender, admitting diagnosis, past medical history, indication for anticoagulation, indication for argatroban, initial dose, goal aPTT, titration instructions, liver function tests, serum creatinine (S(cr)), blood urea nitrogen, and estimated creatinine clearance (Cl(cr)). RESULTS: A total of 66 patients were evaluated and 44 met criteria for inclusion. Baseline S(cr) was elevated at 1.5 mg/dL (0.9, 2.3; median 25th, 75th percentile), with an estimated Cl(cr) 40 mL/min/1.73 m(2) (26, 74). The median dose of argatroban to reach the predefined therapeutic range was 1 microg/kg/min (0.68, 2), with a corresponding aPTT of 60 seconds (54, 66). After univariate analysis, Cl(cr) significantly predicted the therapeutic dose (coefficient b +/- SE 0.019 +/- 0.004; r(2) 0.35; p < 0.001). Covariates that predicted dose were the presence of HIT (coefficient b +/- SE -0.61 +/- 0.3; p = 0.045), history of myocardial infarction (coefficient b +/- SE -0.74 +/- 0.3; p = 0.02), and an indication for anticoagulation of deep-vein thrombosis/pulmonary embolism (coefficient b +/- SE 0.69 +/- 0.3; p = 0.03). CONCLUSIONS: Estimated Cl(cr) significantly predicted the dose of argatroban needed to reach a therapeutic aPTT.

Pegylated interferon and ribavirin-induced interstitial pneumonitis with ARDS.

A 49-year-old man with cirrhosis due to hepatitis C virus developed interstitial pneumonitis documented by surgical lung biopsy specimen evaluation after two weekly doses of pegylated interferon-alpha(2)b in combination with ribavirin. He developed ARDS and died after 26 days of hospitalization from multisystem organ failure. This case suggests that interstitial pulmonary disease can occur with pegylated interferon-alpha(2)b therapy.