• 제목/요약/키워드: waiting and staying time

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응급의료센터 내원환자 진료시 소요시간과 관련된 요인 (Factors Related to Waiting and Staying Time for Patient Care in Emergency Care Center)

  • 한남숙;박재용;이삼범;도병수;김석범
    • 한국의료질향상학회지
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    • 제7권2호
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    • pp.138-155
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    • 2000
  • 3차 의료기관 응급의료센터의 총 진료소요시간을 단축하여 업무의 효율성을 높이고 환자적체를 해소하는 방안을 마련하기 위하여 l997년 4월 1개월 동안 대구광역시 소재 영남대학교병원 응급의료센터 내원환자 1,742명을 대상으로 환자의 특성, 응급진료와 관련된 내용 및 응급진료시간, 그리고 상호관련성을 분석하였다. 평균 초진소요시간은 83.3분이었고, 남자 83.1분, 여자 84.9분여였으며, 평균 총 진료소요시간은 전체 698분이었고, 남자 718.0분 여자 670.5분이었다. 총 진료소요시간은 고령일수록 증가하였으며 의료보호환자에서 초진 및 퇴실시간이 가장 많이 소요되었고 산재환자는 가장 적게 소요되었다. 전원시 소견서를 구비하지 않은 경우에 초진소요시간어이 많았으며, 총 진료소요시간은 외래어에서 전과된 경우, 타병원으로부터 전원된 경우, 전원시 소견서를 구비한 경우와 OCS를 부분적으로 사용한 경우에 많았다. 약물중독환자, 심폐소생술을 시행한 환자, 내과환자 수혈을 받은 환자 및 복합진료 여부가 3개과 이상이었던 환자에서 총 진료소요시간이 많았으며 당직인턴수가 4명이었던 경우가 총 진료소요 시간이 5명이었던 경우에 비해 더 많이 걸렸다. 입원한 경우, 입원명령후 공실이 없었던 경우에서 역시 총 진료소요시간이 증가하였으며 총 진료소요시간과 유의한 상관관계를 갖는 연속변수로는 환자의 연령, 방사선검사수 및 일반검사수였다. 초진소요시간에 대한 중회귀분석결과, 응급의학과 환자, 응급환자, 내원시 심폐소생술 시행환자유무, 내원시 기관내삽관 여부 등이 유의한 독립변수였다. 총 진료소요시간에 대한 중회귀분석결과, 공실유무, 일반검사수, 최종진료과, 타병원 전원유무, 방사선검사수, 퇴원약 유무, 입원실 종류, 입원유무, 담당전공의 연차, 내원원인, 내원시 심폐소생술 시행환자 유무, 수술여부, 병원직원 지인유무 및 특수검사수가 유의한 독립변수였다. 이상의 결과로 보아 응급의료센터내의 환자적체현상을 해결하기 위한 방안으로는 응급환자와 비응급환자를 분류하는 제도적 장치가 필요하며, 필수적인 경우에 한해 일반검사 및 방사선검사를 실시하도록 하며, 병동내의 과별 지정병상을 유동적으로 운영하여 응급의료센터 환자가 우선적으로 입원될 수 있도록 각과의 협조가 필요할 것으로 사료된다.

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복잡한 통신 시스템의 성능분석을 위한 유한소스 대기 모형 (Finite Source Queueing Models for Analysis of Complex Communication Systems)

  • Che-Soong Kim
    • 산업경영시스템학회지
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    • 제26권2호
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    • pp.62-67
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    • 2003
  • This paper deals with a First-Come, First-Served queueing model to analyze the behavior of heterogeneous finite source system with a single server Each sources and the processor are assumed to operate in independently Markovian environments, respectively. Each request is characterized by its own exponentially distributed source and service time with parameter depending on the state of the corresponding environment, that is, the arrival and service rates are subject to random fluctuations. Our aim is to get the usual stationary performance measures of the system, such as, utilizations, mean number of requests staying at the server, mean queue lengths, average waiting and sojourn times. In the case of fast arrivals or fast service asymptotic methods can be applied. In the intermediate situations stochastic simulation Is used. As applications of this model some problems in the field of telecommunications are treated.

응급의료 센터의 체류 및 입원대기 시간 지연 요인 - 일개 의료기관을 중심으로 - (An Analysis of Primary Causes for Waiting for Inpatient Admission and Length of stay at Emergency Medical Center(EMC))

  • 길숙영;김옥준;박진선
    • 기본간호학회지
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    • 제6권3호
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    • pp.522-531
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    • 1999
  • This research identifies the ingress to egress primary factors that causes a patient to receive delayed emergency medical care. This material was collected between February 1st to 28th, 1998. Research envolved 4,118 people who visited the college emergency medical center in Kyeongido Province, South Korea. Medical records were examined, using the retrospective method. to determine the length of stay and the main cause for waiting. Results are as follows : 1. The age group with the highest admission rate was 10 and under, approximately 1,394 (33.9%). Followed by an even distribution for ages between 11-50 at 10-15% for their respective ranges. The lowest admission rate was 50 years and above. 2. From the 4,118 records examined, 3,489 received outpatient treatment (84.7%); 601 were admitted for inpatient care (14.6%); 25 arrived dead on arrival (0.6%); and 4 people died at the hospital. 3. Between 7PM to 12AM, 42.9% were admitted to the EMC. The hours from 9PM to 11PM recorded the highest admission rate and 5AM to 8AM was the lowest From 8PM to 12AM, the most beds were occupied. 4. For most patients. the average length of stay was approximately 2.2 hours. By medical department, external medicine was the longest for 2.8 hours. Pediatrics was the shortest for 1.6 hours. The average waiting period for inpatient admission was 2.6 hours. Inpatient admission for pediatrics and external medicine was 3.4 hours and 2.2 hours respectively. 5. Theses are primary factors for delay at EMC: 1) pronged medical consultations to decide between inpatient versus outpatient treatment, and delaying to be inpatient, 2) when you call physicians they are delayed to come 3) Understaffing during peak or critical hours, 4) Excessive consulting with different medical departments, 5) some patients require longer monitoring periods, 6) medical records are delayed in transit between departments, 7) repeated laboratory tests make delay the result, 8) overcrowded emergency x-ray place causes delay taking x-ray and portable x-ray, 9) the distance between EMC and registration and cashier offices is too far. 10) hard to control patient's family members. The best way to reduce EMC waiting and staying time is by cooperation between departments, both medical and administrative. Each department must work beyond their job description or duty and help each other to provide the best medical service and satisfy the patient needs. The most important answer to shortened the EMC point from ingress to egress is to see things from a patient point of view and begin from there to find the solution.

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시뮬레이션을 이용한 S단추공장생산시스템 분석 및 연구 (A simulation study on S-Button factory production system)

  • 전근수;장병윤
    • 한국시뮬레이션학회논문지
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    • 제23권4호
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    • pp.229-235
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    • 2014
  • 생산시스템의 시간과 비용 효율성을 개선하는 것은 경쟁 우위를 구축하고 경쟁적인 비즈니스 환경에서 수익성을 향상하는 중요한 수단 중 하나이다. 그 중에서도 CONWIP(constant work-in-process)과 DBR(drum-buffer-rope)방법은 생산 공정의 효율을 개선하는 데 널리 사용된다. 이 연구에서는 실제 단추 공장 생산 시스템의 시뮬레이션 모델을 개발했다. 연구 결과에 의하면, CONWIP과 DBR 생산시스템 모두 병목 공정의 대기 시간을 감소시키는 등 실제 생산시스템보다 나은 결과를 나타냈다. 시뮬레이션 모델 결과를 바탕으로 제안된 생산시스템을 적용함으로써, 실제의 제조 공정의 효율을 크게 향상시킬 수 있을 것으로 기대된다.

일 종합병원 응급실 이용환자의 중증도 분류 (A Study on the Triage and Statitical Data of Patients in the Emergency Room, PNU)

  • 김영혜;이화자;조석주
    • 대한간호학회지
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    • 제31권1호
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    • pp.68-80
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    • 2001
  • The purpose of this study is to analyze ER patient's Triage and other statistical data. The subjects were 12,618 patients who visited the ER during the year 1998. The study showed the following results; 1. The male vs female ratio was 1.3 : 1.0, the male were in the majority (56.6%), and the age range of 20-29 old was the majority (15.3). The patients who visited ER at 8-10 pm were the majority (11.5%). On Sunday the number of patients who visited the ER were 2,189, and the majority were 17.4%. On Saturday the number of patients was visited the ER were 1,944 patients the second majority (15.4%). Their traffic means : the general passenger cars (75.5%), 119 or hospital ambulance (11.3%). 2.The reasons of visiting ER were : diseases (59.2%), injuries (23.7%). The disease vs injury ratio was 100 : 69. 3. Triage : urgent 40.7%, non-urgent 38.2%, acute 17.8%, and critical 3.2%. 4. The time of waiting and staying in the ER by the Triaget: the average time was 572 minutes (9.53 hrs.). The majority of critical patients (20.5%), acute patients (24.7%) and urgent patients (21.2%) stayed 12-24 hrs., but the majority of non-emergent (27.8%) stayed not longer than one hour. 5. Treatments by the Triage : the 42.9% of critical patients, and 61.3% of acute patients, 57.5% of urgent patients were admitted. But 91.8% of the non-emergents were discharged and 4.7% was admitted. Mortality of total ER visiter were 1.7%. DAA portion was 0.86%. 26.6% of the critical patients were DAA. DAA vs DOA ratio was 1.3 : 1.0. 6. Visiting time, monthly and seasonal distribution by the Triage : the majority of critical patients (12.2%), visited 10-12 am. The majority of acute (12.9%) and urgent (11.7%) visited 4-6 pm, but the majority of non-emergents (15.1%) visited during 8-10 pm. Autumn visiter were the majority (27.6%). The percentage of non-emergent visited in Spring was 41.4% and Autumn was 41.3%. The percentage of urgents who visited in the Summer was 45.3% and the Winter was 40.4%. By clinical departments: the 48.0% of critical patients was NS. The 45.5% of acute and the 33.6% of urgent patients were IM. But the majority of non-emergent patients was PS (21.2%), and the second majority of non-emergent patients was oral Surgery (12.8%).

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