BACKGROUND: One of the challenging issues of the outpatient phlebotomy services at most hospitals is that patients have a long wait. The outpatient phlebotomy team of Kyungpook National University Hospital applied six sigma breakthrough methodologies to reduce the patient waiting time. METHODS: The DMAIC (Define, Measure, Analyze, Improve, and Control) model was employed to approach the project. Two hundred patients visiting the outpatient phlebotomy section were asked to answer the questionnaires at inception of the study to ascertain root causes. After correction, we surveyed 285 patients for same questionnaires again to follow-up the effects. RESULTS: A defect was defined as extending patient waiting time so long and at the beginning of the project, the performance level was 2.61 sigma. Using fishbone diagram, all the possible reasons for extending patient waiting time were captured, and among them, 16 causes were proven to be statistically significant. Improvement plans including a new receptionist, automatic specimen transport system, and adding one phlebotomist were put into practice. As a result, the number of patients waited more than 5 min significantly decreased, and the performance level reached 3.0 sigma in December 2007 and finally 3.35 sigma in July 2008. CONCLUSIONS: Applying the six sigma, the performance level of waiting times for blood drawing exceeding five minutes were improved from 2.61 sigma to 3.35 sigma.
Efficiency, Organizational ; Humans ; Outpatient Clinics, Hospital/*standards ; *Phlebotomy ; Process Assessment (Health Care) ; Questionnaires ; Time Factors ; Total Quality Management

INTRODUCTIONRight siting has been actively advocated to mitigate rising healthcare costs as well as to free up tertiary resources for the provision of care to more complex patients, research and education. There are, however, concerns that in a block budget setting right siting will reduce patient volumes, thus impacting on subsequent funding allocations and also patient revenues. We sought to determine through modelling and simulation the financial and volume impacts of right siting of endocrinology outpatients in a large tertiary hospital in Singapore.

MATERIALS AND METHODSData were collected prospectively on patient casemix including complexity (complex defined as requiring specialist care), time required for consultations and revenues garnered. The data were used to simulate 2 scenarios: right siting of all simple cases with freed up resources directed to research and teaching (research scenario) and right siting of all simple cases with replacement by complex cases (service scenario).

RESULTSThe department sees an estimated 33,000 outpatients per year with a total annual outpatient revenue of $8.6 million. The research scenario would see a decline in patient volume to 11,880 cases per year which would result in a corresponding decrease in revenue of $5 million and freeing up of 2.8 hours/ week for each staff. The service scenario yields a drop in patient volume of 9500 per annum and a drop in revenue of $1.9 million.

CONCLUSIONRight siting reduces tertiary care patient volumes and revenues and may discourage right siting efforts. A viable business model for the tertiary institutions is needed to facilitate support for right siting.

Cost Control ; methods ; Diagnosis-Related Groups ; Endocrinology ; Health Expenditures ; Hospitals, Urban ; Humans ; Outpatient Clinics, Hospital ; economics ; utilization ; Program Evaluation ; Prospective Studies ; Public Policy ; Referral and Consultation ; economics ; standards

OBJECTIVE: To evaluate the application of three-in-one intelligent screening in outpatient pre-inspection in children's hospital. METHODS: We randomly enrolled 100 children pre-screened by traditional method in the outpatient department of Children's Hospital of Zhejiang University from February 6th to 16th, 2020, and another 100 children by the intelligent three-in-one mode from February 17th to 27th, 2020. The traditional triage was conducted by nurses based on face-to-face, one-by-one interview of the epidemiological history and consultation department, and the temperature was measured before manual triage. The intelligent three-in-one model combined online rapid pre-inspection and triage, on-site manual confirmation, as well as synchronized online health education system. For on-line registered patients, the system automatically sent the COVID-19 epidemiological pre-screening triage questionnaire one hour before the appointment, requiring parents to complete and submit online before arriving at the hospital. The on-site registered patients were controlled at 100 m away from the hospital entrance. The nurses guided the parents to scan the QR code and fill in the COVID-19 epidemiological pre-examination triage questionnaire. At the entrance of the hospital, the nurse checked the guidance sheet and took the temperature again. The children with red guidance sheet were checked again and confirmed by pre-examination nurses, and accompanied to the isolation clinic through COVID-19 patients-only entrance. The children with yellow guidance sheet were guided to fever clinic. The children with green guidance sheet could go with their parents to the designated area, and then went to the corresponding consultation area. Health education was carried out throughout the treatment, and the system automatically posted the corresponding outpatient instructions and education courses. Parents would read the courses on their mobile phones and counsel online. The time of pre-examination and the coincidence rate of triage were compared between the two groups. RESULTS: The three-in-one intelligent pre-inspection mode took an average of (25.6±8.0) s for each child, which was significantly shorter than the traditional pre-inspection mode (74.8±36.4) s ( CONCLUSIONS The three-in-one intelligent pre-inspection model can effectively shorten the patient pre-check time, with similar triage coincidence rate to traditional model.
Adult ; Betacoronavirus ; COVID-19 ; Child ; Coronavirus Infections/diagnosis* ; Humans ; Internet ; Outpatient Clinics, Hospital ; Pandemics ; Pneumonia, Viral/diagnosis* ; SARS-CoV-2 ; Surveys and Questionnaires ; Time ; Triage/standards*

INTRODUCTIONThe objective of this study was to determine if patient information needs are being met and the level of patient satisfaction with rheumatology practitioners in participatory decision-making and thereby indirectly explore whether concordance was achieved.

MATERIALS AND METHODSThe design was a cross-sectional postal questionnaire survey of 420 patients attending outpatient clinics at the Norfolk and Norwich University Hospital who were taking disease modifying anti-rheumatic drugs (DMARDs) or a biological treatment. The population served is ethnically homogeneous and predominantly Caucasian.

RESULTSThe response rate was 76%. Most respondents (79%) had inflammatory arthritis while 66% had rheumatoid arthritis. Seventy-seven per cent of patients reported that the rationale behind commencing treatment was explained and that they were given ample opportunities to ask questions. Eighty-two per cent said they were given an appropriate amount of information. Sixty-four per cent of patients were satisfied with their level of participation in the decision-making process, although a substantial number (25%) said that information from different sources was conflicting. There was no correlation between concern about side effects and patients' perceptions of the effectiveness of medication. Females were more concerned than males about possible side effects; P =0.009, using the Mann-Whitney U test. One third of the patients altered their medication in response to whether their arthritis felt better or worse.

CONCLUSIONThe majority of patients were satisfied that their information needs were met and with the care provided in the practitioner clinic. Participatory decision-making was sub-optimal despite patient satisfaction with the amount of time allocated to meeting their information needs. We found that patients exercise autonomy in managing their arthritis by regulating their medications through an active decision-making process, which is informed by their previous experience of medication, and how well controlled they felt their arthritis was. Research into this decision-making process may hold the key to achieving concordance.

Antirheumatic Agents ; therapeutic use ; Arthritis ; drug therapy ; psychology ; Decision Making ; Female ; Health Care Surveys ; Humans ; Male ; Outpatient Clinics, Hospital ; Pain Measurement ; Patient Education as Topic ; standards ; Patient Participation ; Patient Satisfaction ; statistics & numerical data ; Rheumatology ; standards ; Singapore

AIMTo improve workflow and usability by introduction of a new electronic patient record (EPR) and database.

METHODSEstablishment of an EPR based on open source technology (MySQL database and PHP scripting language) in a tertiary care andrology center at a university clinic. Workflow analysis, a benchmark comparing the two systems and a survey for usability and ergonomics were carried out.

RESULTSWorkflow optimizations (electronic ordering of laboratory analysis, elimination of transcription steps and automated referral letters) and the decrease in time required for data entry per patient to 71%+/-27%, P<0.05, lead to a workload reduction. The benchmark showed a significant performance increase (highest with starting the respective system: 1.3+/-0.2 s vs. 11.1+/-0.2 s, mean+/-SD). In the survey, users rated the new system at least two ranks higher over its predecessor (P<0.01) in all sub-areas.

CONCLUSIONWith further improvements, today's EPR can evolve to substitute paper records, saving time (and possibly costs), supporting user satisfaction and expanding the basis for scientific evaluation when more data is electronically available. Newly introduced systems should be versatile, adaptable for users, and workflow-oriented to yield the highest benefit. If ready-made software is purchased, customization should be implemented during rollout.

Andrology ; organization & administration ; Benchmarking ; Databases as Topic ; standards ; Ergonomics ; Germany ; Hospitals, University ; Humans ; Male ; Medical Records Systems, Computerized ; standards ; Outpatient Clinics, Hospital ; organization & administration ; Systems Analysis ; User-Computer Interface ; Work Simplification ; Workload ; statistics & numerical data