Screening for Medication Errors and Adverse Events Using Outlier Detection Screening Algorithms in an Inpatient Setting.

OBJECTIVES: To evaluate the potential of a novel system using outlier detection screening algorithms and to identify medication related risks in an inpatient setting. METHODS: In the first phase of the study, we evaluated the transferability of models refined at another medical center using a different electronic medical record system (EMR) on 3 years of historical data (2017-2019), extracted from the local EMR system. Following the retrospective analysis, the system's models were fine-tuned to the specific local practice patterns. In the second, prospective phase of the study, the system was fully integrated in the local EMR and after a short run-in period was activated live. All alerts generated by the system, in both phases, were analyzed by a clinical team of physicians and pharmacists for accuracy and clinical relevance. RESULTS: In the retrospective phase of the study, 226,804 medical orders were analyzed, generating a total of 2731 alerts (1.2% of medical orders). Of the alerts analyzed, 69% were clinically relevant alerts and 31% were false alerts. In the prospective phase of the study, 399 alerts were generated by the system (1.6% of medical orders). The vast majority of the alerts (72%) were considered clinically relevant, and 41% of the alerts caused a change in prescriber behavior (i.e. cancel/modify the medical order). CONCLUSION: In an inpatient setting of a 600 bed computerized decision support system (CDSS) -naïve medical center, the system generated accurate and clinically valid alerts with low alert burden enabling physicians to improve daily medical practice.

Plasma serotonin response to carbohydrate-rich food in chronic schizophrenic patients: clozapine versus classic antipsychotic agents.

Researchers have reported a stimulatory effect of carbohydrate-rich intake on platelet-poor plasma (PPP) serotonin (5-HT) levels in healthy human subjects. Dietary manipulation may serve as a safer and less invasive means than pharmacologic challenge to provoke serotonergic responsivity in studies of schizophrenia. In the present study, we used the carbohydrate-rich meal test as an indicator of 5-HT activity in 12 patients with chronic schizophrenia maintained for at least 6 months on clozapine. PPP 5-HT levels were measured at baseline and at 1, 2 and 3 h after administration of the test. Findings were compared with those in schizophrenic patients treated with classic antipsychotic agents for the same duration. The maximal PPP 5-HT response was reached 120 min after meal administration in the clozapine-treated group and 60 min after in the classic antipsychotic-treated group (P<0.05 vs baseline for both). The 5-HT level (as percentage of baseline) at 60 min was significantly lower in the clozapine-treated group (P<0.02), as were individual PPP 5-HT peak values (P<0.05). The individual time to reach the peak response was similar in the two groups. Our results indicate that in patients with chronic schizophrenia 5-HT responsivity to the natural challenge of carbohydrate-rich meals is lower in those treated with clozapine than in those given classic antipsychotic agents. Values in both groups were lower than those in an appropriate historical comparative group of healthy subjects. We suggest that both clozapine and classic antipsychotic agents suppress serotonergic system sensitivity, but to a different degree. Copyright 2001 John Wiley & Sons, Ltd.