中国药师
中國藥師
중국약사
CHINA PHARMACIST
2014年
2期
277-280
,共4页
翟晓波%何志高%文传民%鲍思蔚%方芳
翟曉波%何誌高%文傳民%鮑思蔚%方芳
적효파%하지고%문전민%포사위%방방
智能化用药监控警示互动系统%临床药师%可预防药物不良事件%合理用药
智能化用藥鑑控警示互動繫統%臨床藥師%可預防藥物不良事件%閤理用藥
지능화용약감공경시호동계통%림상약사%가예방약물불량사건%합리용약
Intelligent interactive software for drug monitoring warning%Clinical pharmacists%Preventable adverse drug events%Rational drug use
目的：：以“智能化用药监控警示互动系统”为平台，分析其对阻断用药错误、减少药害事件发生的干预效果。方法：选择我院重症监护( ICU)病区为实验组，以另外两家医院ICU病区为对照组，前18个月两组均不进行干预；后18个月，实验组运行“智能化用药监控警示互动系统”，临床药师将系统的警示信息与患者临床实际结合，干预用药错误，而对照组不进行干预。监测两组全部时间段内的各种药物不良事件。结果：实验组干预前的18个月内发现可预防药物不良事件50例，发生率6.8%。干预后的18个月内，医师对警示信息的修改率达97.7%，警示信息及占处方量百分比从最高的68例和1.1%下降到最低的6例和0.1%。可预防药物不良事件降至17例，发生率2.4%，较干预前明显下降(P<0.05)。可能因此节省住院费用848991元，减少住院时间294 d。而对照组可预防药物不良事件及其发生率无明显变化。两组不可预防药物不良事件均无明显变化。结论：“智能化用药监控警示互动系统”能有效审查出各种用药错误，降低ICU病区可预防药物不良事件的发生率。但尚需不断提高智能化程度，并结合患者实际情况进行不合理用药的判断。
目的：：以“智能化用藥鑑控警示互動繫統”為平檯，分析其對阻斷用藥錯誤、減少藥害事件髮生的榦預效果。方法：選擇我院重癥鑑護( ICU)病區為實驗組，以另外兩傢醫院ICU病區為對照組，前18箇月兩組均不進行榦預；後18箇月，實驗組運行“智能化用藥鑑控警示互動繫統”，臨床藥師將繫統的警示信息與患者臨床實際結閤，榦預用藥錯誤，而對照組不進行榦預。鑑測兩組全部時間段內的各種藥物不良事件。結果：實驗組榦預前的18箇月內髮現可預防藥物不良事件50例，髮生率6.8%。榦預後的18箇月內，醫師對警示信息的脩改率達97.7%，警示信息及佔處方量百分比從最高的68例和1.1%下降到最低的6例和0.1%。可預防藥物不良事件降至17例，髮生率2.4%，較榦預前明顯下降(P<0.05)。可能因此節省住院費用848991元，減少住院時間294 d。而對照組可預防藥物不良事件及其髮生率無明顯變化。兩組不可預防藥物不良事件均無明顯變化。結論：“智能化用藥鑑控警示互動繫統”能有效審查齣各種用藥錯誤，降低ICU病區可預防藥物不良事件的髮生率。但尚需不斷提高智能化程度，併結閤患者實際情況進行不閤理用藥的判斷。
목적：：이“지능화용약감공경시호동계통”위평태，분석기대조단용약착오、감소약해사건발생적간예효과。방법：선택아원중증감호( ICU)병구위실험조，이령외량가의원ICU병구위대조조，전18개월량조균불진행간예；후18개월，실험조운행“지능화용약감공경시호동계통”，림상약사장계통적경시신식여환자림상실제결합，간예용약착오，이대조조불진행간예。감측량조전부시간단내적각충약물불량사건。결과：실험조간예전적18개월내발현가예방약물불량사건50례，발생솔6.8%。간예후적18개월내，의사대경시신식적수개솔체97.7%，경시신식급점처방량백분비종최고적68례화1.1%하강도최저적6례화0.1%。가예방약물불량사건강지17례，발생솔2.4%，교간예전명현하강(P<0.05)。가능인차절성주원비용848991원，감소주원시간294 d。이대조조가예방약물불량사건급기발생솔무명현변화。량조불가예방약물불량사건균무명현변화。결론：“지능화용약감공경시호동계통”능유효심사출각충용약착오，강저ICU병구가예방약물불량사건적발생솔。단상수불단제고지능화정도，병결합환자실제정황진행불합리용약적판단。
Objective:To analyze the intervention effect of a successfully created platform“intelligent interactive software for drug monitoring warning” on the decrease of medication errors and adverse drug events,and the increase of the drug treatment level. Meth-ods:The intensive care unit ( ICU) of our hospital was selected as the experiment group, and the ICU of the other two hospitals was used as the contrast group. During the first 18 months, both groups were without intervention. During the latter 18 months, the plat-form was used in the experiment group, and the clinical pharmacists employed alerts of the system in the practice of interaction with doctors to correct the medication errors. No intervention was performed in the contrast group. In addition, all adverse drug events in both groups were surveyed. Results:During the first period, 50 preventable adverse drug events were discovered with the incidence of 6. 8% in the experimental group. During the second period, the correct rate of the alerts was 97. 7%. Through the effective interven-tion,the alerts and their percentage in the prescriptions were from the maximum of 68 and 1. 1% to the minimum of 6 and 0. 1%. To-tally 17 preventable adverse drug events were found with the incidence of 2. 4% after the intervention. The decline was significant, 848 991 yuan of hospitalization expenses was saved, and 294 days of the length of stay were shortened. There was no change in the contrast group, and there was no change in unpreventable adverse drug events in the two groups before and after the intervention. Conclusion:The "intelligent interactive software for drug monitoring warning" can examine many sorts of medication errors,and decline the inci-dence rate of preventable adverse drug events in ICU. However, it needs to continuously improve the intelligence. Clinical pharmacists need to master the relevant conditions of patients to detect the irrational drug use based on the clinical practice for each patient.
