中华医院管理杂志
中華醫院管理雜誌
중화의원관리잡지
CHINESE JOURNAL OF HOSPITAL ADMINISTRATION
2013年
6期
433-436
,共4页
章伟芳%汪天林%陈宏勋%罗玉和
章偉芳%汪天林%陳宏勛%囉玉和
장위방%왕천림%진굉훈%라옥화
门诊流量%就医规律%资源配置%优化服务
門診流量%就醫規律%資源配置%優化服務
문진류량%취의규률%자원배치%우화복무
Outpatients traffic%Patient visit pattern%Resources allocation%Optimal service
目的 发现就医规律,统筹服务资源,优化服务供给,创造和谐就医环境.方法 在30天内,每天6小时(7:00～11:00,13:00～15:00)的基线调查的基础上,结合医院近5年HIS系统数据,进行统计分析和仿真试验,调整内部排班、优化资源配置.结果 通过对我院连续5年数据分析发现每年1～2月为就诊低谷,每年7～8月为就诊高峰.通过一年52周数据分析,发现日挂号量在4000～5000之间的天数为163天,日挂号量超过5000的天数为86天,其中周一日挂号量超过5000的有35天.每周一均表现为就诊高峰,周六周日就诊患者明显下降；一天挂号高峰集中在上午7:00～10:00,13:00～14:00出现人流回升,但只有上午峰值人数的26％左右.结论 通过对门急诊患者流量的统计分析,可以探寻其运行规律并有效改进服务供给的配置,缓解高峰压力,缩短病患等候时间,提升服务满意度.
目的 髮現就醫規律,統籌服務資源,優化服務供給,創造和諧就醫環境.方法 在30天內,每天6小時(7:00～11:00,13:00～15:00)的基線調查的基礎上,結閤醫院近5年HIS繫統數據,進行統計分析和倣真試驗,調整內部排班、優化資源配置.結果 通過對我院連續5年數據分析髮現每年1～2月為就診低穀,每年7～8月為就診高峰.通過一年52週數據分析,髮現日掛號量在4000～5000之間的天數為163天,日掛號量超過5000的天數為86天,其中週一日掛號量超過5000的有35天.每週一均錶現為就診高峰,週六週日就診患者明顯下降；一天掛號高峰集中在上午7:00～10:00,13:00～14:00齣現人流迴升,但隻有上午峰值人數的26％左右.結論 通過對門急診患者流量的統計分析,可以探尋其運行規律併有效改進服務供給的配置,緩解高峰壓力,縮短病患等候時間,提升服務滿意度.
목적 발현취의규률,통주복무자원,우화복무공급,창조화해취의배경.방법 재30천내,매천6소시(7:00～11:00,13:00～15:00)적기선조사적기출상,결합의원근5년HIS계통수거,진행통계분석화방진시험,조정내부배반、우화자원배치.결과 통과대아원련속5년수거분석발현매년1～2월위취진저곡,매년7～8월위취진고봉.통과일년52주수거분석,발현일괘호량재4000～5000지간적천수위163천,일괘호량초과5000적천수위86천,기중주일일괘호량초과5000적유35천.매주일균표현위취진고봉,주륙주일취진환자명현하강；일천괘호고봉집중재상오7:00～10:00,13:00～14:00출현인류회승,단지유상오봉치인수적26％좌우.결론 통과대문급진환자류량적통계분석,가이탐심기운행규률병유효개진복무공급적배치,완해고봉압력,축단병환등후시간,제승복무만의도.
Objective To investigate the pattern of outpatients traffic,orchestra service resources,and optimize service provision,for a harmonized outpatient service.Methods A baseline survey was made at the outpatient department in 30 days(six hours per day,7:00-11:00,and 13:00-15:00).On such basis,data of the hospital's HIS system within the last five years were called into play for statistics analysis and simulation test,for the purpose of shift scheduling and resources allocation optimization.Results This study discovered each January-February as the valley of clinic visits and each July-August as the peak.52-week data analysis of a year found that the days of daily registrations between 4000-5000 are up to 163 days,those over 5000 are up to 86 days,of which Mondays with over 5000 registrations are up to 35 days.Each Monday is found to be a peak of outpatient visits,with significant drop during Saturdays and Sundays; daily registrations peak between 7:00-10:00 in the morning,while the traffic rises again during 13:00-14:00 in the afternoon,yet up to 26 ％of the morning peak only.Conclusion Statistics analysis of the outpatient service and emergency service at the outpatient department can help identify their patterns of operations,for effective improvement of service provision,alleviation of peak hour workload,shorten patient waiting time and better patient satisfaction.
