Optimization of surgery sequencing and scheduling decisions under uncertainty

Operating rooms (ORs) are simultaneously the largest cost center and greatest source of revenues for most hospitals. Due to significant uncertainty in surgery durations, scheduling of ORs can be very challenging. Longer than average surgery durations result in late starts not only for the next surgery in the schedule, but potentially for the rest of the surgeries in the day as well. Late starts also result in direct costs associated with overtime staffing when the last surgery of the day finishes later than the scheduled shift end time. In this article we describe a stochastic optimization model and some practical heuristics for computing OR schedules that hedge against the uncertainty in surgery durations. We focus on the simultaneous effects of sequencing surgeries and scheduling start times. We show that a simple sequencing rule based on surgery duration variance can be used to generate substantial reductions in total surgeon and OR team waiting, OR idling, and overtime costs. We illustrate this with results of a case study that uses real data to compare actual schedules at a particular hospital to those recommended by our model.     

Planning and scheduling of semi-urgent surgeries

This paper investigates the trade-off between cancellations of elective surgeries due to semi-urgent surgeries, and unused operating room (OR) time due to excessive reservation of OR time for semi-urgent surgeries.Semi-urgent surgeries, to be performed soon but not necessarily today, pose an uncertain demand on available hospital resources, and interfere with the planning of elective patients. For a highly utilized OR, reservation of OR time for semi-urgent surgeries avoids excessive cancellations of elective surgeries, but may also result in unused OR time, since arrivals of semi-urgent patients are unpredictable. First, using a queuing theory framework, we evaluate the OR capacity needed to accommodate every incoming semi-urgent surgery. Second, we introduce another queuing model that enables a trade-off between the cancelation rate of elective surgeries and unused OR time. Third, based on Markov decision theory, we develop a decision support tool that assists the scheduling process of elective and semi-urgent surgeries. We demonstrate our results with actual data obtained from a department of neurosurgery.     

Scheduling elective surgeries: the tradeoff among bed capacity,waiting patients and operating room utilization using goal programming

Scheduling of surgeries in the operating rooms under limited competing resources such as surgical and nursing staff, anesthesiologist, medical equipment, and recovery beds in surgical wards is a complicated process. A well-designed schedule should be concerned with the welfare of the entire system by allocating the available resources in an efficient and effective manner. In this paper, we develop an integer linear programming model in a manner useful for multiple goals for optimally scheduling elective surgeries based on the availability of surgeons and operating rooms over a time horizon. In particular, the model is concerned with the minimization of the following important goals: (1) the anticipated number of patients waiting for service; (2) the underutilization of operating room time; (3) the maximum expected number of patients in the recovery unit; and (4) the expected range (the difference between maximum and minimum expected number) of patients in the recovery unit. We develop two goal programming (GP) models: lexicographic GP model and weighted GP model. The lexicographic GP model schedules operating rooms when various preemptive priority levels are given to these four goals. A numerical study is conducted to illustrate the optimal master-surgery schedule obtained from the models. The numerical results demonstrate that when the available number of surgeons and operating rooms is known without error over the planning horizon, the proposed models can produce good schedules and priority levels and preference weights of four goals affect the resulting schedules. The results quantify the tradeoffs that must take place as the preemptive-weights of the four goals are changed.     

Automating the self-scheduling process of nurses in Swedish healthcare: a pilot study

Hospital wards need to be staffed by nurses round the clock, resulting in irregular working hours for many nurses. Over the years, the nurses’ influence on the scheduling has been increased in order to improve their working conditions. In Sweden it is common to apply a kind of self-scheduling where each nurse individually proposes a schedule, and then the final schedule is determined through informal negotiations between the nurses. This kind of self-scheduling is very time-consuming and does often lead to conflicts. We present a pilot study which aims at determining if it is possible to create an optimisation tool that automatically delivers a usable schedule based on the schedules proposed by the nurses. The study is performed at a typical Swedish nursing ward, for which we have developed a mathematical model and delivered schedules. The results of this study are very promising and suggest continued work along these lines.     

Satisfaction with surgery outcomes and the decision process in a population-based sample of women with breast cancer

OBJECTIVE: To better understand medical decision making in the context of "preference sensitive care," we investigated factors associated with breast cancer patients' satisfaction with the type of surgery received and with the decision process. DATA SOURCES/DATA COLLECTION: For a population-based sample of recently diagnosed breast cancer patients in the Detroit and Los Angeles metropolitan areas (N=1,633), demographic and clinical data were obtained from the Surveillance, Epidemiology, and End Results tumor registry, and self-reported psychosocial and satisfaction data were obtained through a mailed survey (78.4 percent response rate). STUDY DESIGN: Cross-sectional design in which multivariable logistic regression was used to identify sociodemographic and clinical factors associated with three satisfaction measures: low satisfaction with surgery type, low satisfaction with the decision process, and decision regret. PRINCIPAL FINDINGS: Overall, there were high levels of satisfaction with both surgery and the decision process, and low rates of decision regret. Ethnic minority women and those with low incomes were more likely to have low satisfaction or decision regret. In addition, the match between patient preferences regarding decision involvement and their actual level of involvement was a strong indicator of satisfaction and decision regret/ambivalence. While having less involvement than preferred was a significant indicator of low satisfaction and regret, having more involvement than preferred was also a risk factor. Women who received mastectomy without reconstruction were more likely to report low satisfaction with surgery (odds ratio [OR]=1.54, p<.05), low satisfaction with the process (OR=1.37, p<.05), and decision regret (OR=1.55, p<.05) compared with those receiving breast conserving surgery (BCS). An additional finding was that as patients' level of involvement in the decision process increased, the rate of mastectomy also increased (p<.001). CONCLUSIONS: A significant proportion of breast cancer patients experience a decision process that matches their preferences for participation, and report satisfaction with both the process and the outcome. However, women who report more involvement in the decision process are significantly less likely to receive a lumpectomy. Thus, increasing patient involvement in the decision process will not necessarily increase use of BCS or lead to greater satisfaction. The most salient aspect for satisfaction with the decision making process is the match between patients' preferences and experiences regarding participation.     

择限期手术当日取消成因分析

目的分析择期/限期手术临时取消的原因,并提出相应的管理对策,以期降低择期/限期手术的临时取消率,促进手术室医疗资源的有效利用。方法调查并纳入2018年1月1日至12月31日期间,四川大学华西医院所有通过电子系统进行排程的择期/限期手术。收集各专科手术当日临时通知手术室取消的择期手术病例、所在科室及取消原因,并根据具体分析情况提出相应的护理管理对策。结果共纳入103140例通过电子系统进行手术排程的外科手术病例,当日手术取消18050例,取消率为17.5%。各个科室之间择期/限期手术取消率差异较大,最低的为甲乳外科(6.1%),最高的为肝脏外科(46.0%)。同时,总体来看,最为常见的择期/限期手术取消原因为超过医院规定的接台时间(24.3%),其次为患者及家属意见改变(8.9%),其余因素主要为患者术前检查异常或未完善以及突发临时事件(发热以及女性患者月经来潮等)。结论择期/限期手术当日取消率较高,多种因素综合作用是导致手术当日取消的原因。优化手术排程计划与措施、加强医护患沟通、手术取消登记并作出相应测评与绩效挂钩等管理措施,从而降低择期/限期手术当日取消率,减少对有限手术室医疗资源的浪费以及对患者心理造成不良影响,促进手术室资源的有效利用。     

Needs and obstacles of uniform immunisation schedules in the European Union

Immunisation schedules are developed by national committees on immunisation and may differ considerably between the European Union (EU) member states (MS). The European Commission has launched an initiative for a council recommendation with the aim to establish a scientifically substantiated reference childhood immunisation schedule for the EU. In our view this initiative implies the establishment of one European childhood immunisation schedule, which could lead to the perception that this schedule is the only one scientifically justified. The expectations that one uniform immunisation schedule will facilitate mobility of EU residents, improve data collection and increase vaccination coverage are either quantitatively or qualitatively not relevant or even ethically problematic. Arguments that uniform schedules would lead to lower vaccine prices and reduce the need for clinical trials appear to be more relevant but could be addressed more effectively by other measures. On the other hand the following factors may differ substantially between MS and thus support different immunisation schedules, such as (a) values and goals, (b) epidemiological situation, (c) health care delivery system, (d) logistics of vaccine delivery and (e) economic situation. We argue that uniform schedules should not be perceived as a goal in itself but rather as a possibly desired by-product following increasing agreement on goals and values between MS and improved evidence base to be used by national committees on immunisation.     

Introducing decision AIDS at group health was linked to sharply lower hip and knee surgery rates and costs

Decision aids are evidence-based sources of health information that can help patients make informed treatment decisions. However, little is known about how decision aids affect health care use when they are implemented outside of randomized controlled clinical trials. We conducted an observational study to examine the associations between introducing decision aids for hip and knee osteoarthritis and rates of joint replacement surgery and costs in a large health system in Washington State. Consistent with prior randomized trials, our introduction of decision aids was associated with 26?percent fewer hip replacement surgeries, 38?percent fewer knee replacements, and 12-21?percent lower costs over six months. These findings support the concept that patient decision aids for some health conditions, for which treatment decisions are highly sensitive to both patients' and physicians' preferences, may reduce rates of elective surgery and lower costs.     

Overutilization and underutilization of operating rooms - insights from behavioral health care operations management

The planning of surgery durations is crucial for efficient usage of operating theaters. Both planning too long and too short durations for surgeries lead to undesirable consequences, e.g. idle time, overtime, or rescheduling of surgeries. We define these consequences as operating room inefficiency. The overall objective of planning surgery durations is to minimize expected operating room inefficiency, since surgery durations are stochastic. While most health care studies assume economically rational behavior of decision makers, experimental studies have shown that decision makers often do not act according to economic incentives. Based on insights from health care operations management, medical decision making, behavioral operations management, as well as empirical observations, we derive hypotheses that surgeons’ behavior deviates from economically rational behavior. To investigate this, we undertake an experimental study where experienced surgeons are asked to plan surgeries with uncertain durations. We discover systematic deviations from optimal decision making and offer behavioral explanations for the observed biases. Our research provides new insights to tackle a major problem in hospitals, i.e. low operating room utilization going along with staff overtime.     

Job strain and its associated factors among lecturers in the School of Medical Sciences, Universiti Sains Malaysia and Faculty of Medicine, Universiti Kebangsaan Malaysia

A cross-sectional study to assess job strain and its associated factors among lecturers of the School of Medical Sciences, Universiti Sains Malaysia (USM) and Faculty of Medicine, Universiti Kebangsaan Malaysia (UKM) was undertaken between August 2001 and May 2002. The original English version of the Job Content Questionnaire (JCQ) version 1.7 (revised 1997) by Robert Karasek based on the Job Strain Model was self-administered to 73 (response rate 58.4%) and 80 (response rate 41.7%) lecturers in the medical faculties of USM and UKM respectively. The prevalence of job strain (defined by low decision latitude and high psychological demand) in USM and UKM was 23.3% and 17.5%, respectively; the difference was not significant (p 2 0.05). Analysis showed that the associated factors of job strain in USM lecturers were psychological stressors (adjusted OR 1.2, 95% CI: 1.0, 1.4), created skill (adjusted OR 0.4, 95% CI: 0.2, 0.8), working in clinical-based departments (adjusted OR 18.9, 95% CI: 1.6, 22.7). The risk factors of job strain in UKM lecturers were created skill (adjusted OR 0.3, 95% CI: 0.1, 0.9), psychological stressors (adjusted OR 1.2, 95% CI: 1.0, 1.5) and co-worker support (adjusted OR 0.3, 95% CI: 0.1, 0.9). We conclude psychological stressors and created skill were nonprotective and protective, respectively, against job strain in both USM and UKM lecturers.     

Institutional differences in therapeutic decision making in the Coronary Artery Surgery Study (CASS)

This article examines institutional differences in therapeutic decision making in the Coronary Artery Surgery Study (CASS). The initial decision to use medical therapy or coronary artery bypass surgery for coronary artery disease is studied. Data from the CASS registry and a survey of CASS principal investigators were used to examine the effects of institutional characteristics, individual physician characteristics, and decision making responsibility on the recommended therapy, the actual therapy, and the ratio of the observed to expected number of surgeries. The results indicated that the experience and involvement of the surgeon in the decision making process were related to actual and recommended rates of surgery. The percentage of urgent transfers from other hospitals and the percentage of surgical referrals to outside hospitals were related to the ratio of the observed to expected numbers of surgery, an adjusted rate of surgery. A major conclusion of this study is that despite the effects of certain institutional constructs, scientific criteria in the form of clinical and angiographic data are the most important determinants of whether a patient receives coronary artery bypass surgery.     

Strategies for interday appointment scheduling in primary care

When faced with a medical problem, patients contact their primary care physician (PCP) first. Here mainly two types of patient requests occur: non-scheduled patients who are walk-ins without an appointment and scheduled patients with an appointment. Number and position of the scheduled appointments influence waiting times for patients, capacity for treatment and the utilization of PCPs. As the number of patient requests differs significantly between weekdays, the challenge is to match capacity with patient requests and provide as few appointment slots as necessary. In this way, capacity for walk-ins is maximized while overall capacity restrictions are met. Decisions as to the optimal appointment capacity per day on a tactical decision level has gained little attention in the literature. A mixed integer linear model is developed, where the minimum number of appointments scheduled for a weekly profile is determined. We are thus able to give the answer as to how many appointments to offer on each day in a week in order to create a schedule that takes patient preferences as well as PCP preferences into account. Appointment schedules are often influenced by uncertain demands due to the number of urgent patients, interarrivals and service times. Based on an exemplary case study, the advantages of the optimal appointment schedule on different performance criteria are shown by detailed stochastic simulations.     

Effectively marketing prepaid medical care with decision support systems

The paper reports a decision support system (DSS) that enables health plan administrators to quickly and easily: (1) manage relevant medical care market (consumer preference and competitors' program) information and (2) convert the information into appropriate medical care delivery and/or payment policies. As the paper demonstrates, the DSS enables providers to design cost efficient and market effective medical care programs. The DSS provides knowledge about subscriber preferences, customer desires, and the program offerings of the competition. It then helps administrators structure a medical care plan in a way that best meets consumer needs in view of the competition. This market effective plan has the potential to generate substantial amounts of additional revenue for the program. Since the system's data base consists mainly of the provider's records, routine transactions, and other readily available documents, the DSS can be implemented at a nominal incremental cost. The paper also evaluates the impact of the information system on the general financial performance of existing dental and mental health plans. In addition, the paper examines how the system can help contain the cost of providing medical care while providing better services to more potential beneficiaries than current approaches.     

International comparisons of patients' views on quality of care

PURPOSE: To compare patients' views on quality of care in different countries using a theory-based instrument, while at the same time controlling for the following potential confounders: type of care system (private vs public), type of care (kind of health problem), gender, age, and subjective wellbeing. DESIGN/METHODOLOGY/APPROACH: Patients capable of communicating in wards (medical and surgical departments) and day surgery departments in England, France, Norway, and Sweden were recruited consecutively, to participate in a programme run by the health-care company Capio. Ward patients: England (n=1236), France (n=1051), Norway (n=226), and Sweden (n=428). Day surgery patients: England (n=887), France (n=544), Norway (n=101), and Sweden (n=742). Average response rate across settings: approximately 75 per cent. Patients evaluated the quality of the care they actually received and the subjective importance they ascribed to different aspects of care. The questionnaire "Quality from the patient's perspective" (QPP) was used (modified short version). FINDINGS: Cross-national comparisons were made within each of the two care contexts (wards and day surgery) separately for men and women. Quality of care evaluations were adjusted for age and subjective wellbeing. English and French patients scored significantly higher than Norwegian and Swedish on both kinds of ratings (perceived reality and subjective importance), in both kinds of care contexts, and in both sexes. ORIGINALITY/VALUE: Cross-national comparisons of patients' views on care can give meaningful guidance for practitioners only if they are context-specific and if well-known confounders are controlled for.     

Views of treatment decision making from adolescents with chronic illnesses and their parents: a pilot study

Objective Shared decision making may increase satisfaction with health care and improve outcomes, but little is known about adolescents’ decision‐making preferences. The primary purpose of this study is to describe the decision‐making preferences of adolescents with chronic illnesses and their parents, and the extent to which they agree. Design Survey. Setting and participants Participants were 82 adolescents seen at one of four paediatric chronic illness subspecialty clinics and 62 of their parents. Main variables Predictor variables include sociodemographics, health parameters, risk behaviour, and physical and cognitive development. The main outcome variable is preferences for decision‐making style. Results and conclusions When collapsed into three response categories, nearly equal percentages of adolescents (37%) and parents (36%) preferred shared decision making. Overall, the largest proportion of adolescents (46%) and parents (53%) preferred passive decision making compared to active or shared decision making. Across five response choices, 33% of pairs agreed. Agreement was slight and not significant. Improved general health perceptions (OR = 0.76, 95% CI = 0.59–0.99) and improved behaviour (OR = 0.75, 95% CI = 0.56–0.99) were significantly associated with parents’ preferences for less active decision making. Older age was significantly associated with agreement (OR 1.58, 95% CI = 1.09–2.30) between parents and adolescents. The paucity of significant predictor variables may indicate physicians need to inquire directly about patient and parent preferences.     

Patient mix optimisation and stochastic resource requirements: A case study in cardiothoracic surgery planning

Cardiothoracic surgery planning involves different resources such as operating theatre time, beds, IC beds and nursing staff. In the daily practice of the Thorax Centre case study setting, the planning focuses on optimal use of operating theatre time, though the performance of the Thorax Centre as a whole is often more limited by other resources. For operating theatres a master surgical schedule is used to allocate operating theatre resources at tactical level for a longer period. Operational schedules at weekly level are derived from this master schedule. Within cardiothoracic surgery different categories of patients can be distinguished based on their requirement of resources. The mix of patients operated is, therefore, an important decision variable for the Thorax Centre to manage the use of these resources. In this paper we will consider the planning problem at the tactical level to generate a master surgical schedule that realises a given target of patient throughput and optimises an objective function for the utilisation of resources. The problem can be mathematically approached by mixed integer linear programming, which we already demonstrated in a previous paper. The specific topic of the current paper is to investigate the influence of using a stochastic instead of a deterministic length of stay. We will discuss the new mathematical model developed for this planning problem. The results obtained by the model indicate that we can generate master surgical schedules with a better performance on target utilization levels of resources by considering the stochastic length of stay. Submitted for ORAHS2007 special issue in HCMS, version 14th July 2008     

Reporting quality of nursing home care to consumers: the Maryland experience.

OBJECTIVE: To design and implement a reporting system for quality of long-term care to empower consumers and to create incentives for quality improvement. To identify a model to approach this technically and politically difficult task. APPROACH: Establishment of a credible and transparent decision process using a public forum. Development of the system based on: (1) review of the literature and existing systems, and discussions with stakeholders about strengths and weaknesses; (2) focus on consumer preferences in the design; and (3) responsiveness to industry concerns in the implementation. LESSONS LEARNED: None of the existing systems appeared to be a suitable model. We decided to develop an entirely new system based on three key design principles that allowed us to tailor the system to consumer needs: (1) designing a decision tool rather than a database; (2) summarizing rather than simplifying information; and (3) accounting for the target audience in the creative execution. Industry concerns focused on the burden of the system, the potential for errors, and the possible communication of a negative impression of the industry. As methodological and data limitations prevented us from resolving those concerns, we addressed them by using cautionary language in the presentation and by making a commitment to incorporate improvements in the future. All stakeholders regarded the final design as an acceptable compromise. CONCLUSIONS: Despite its potentially controversial nature and many methodological challenges, the system has been well received by both the public and the industry. We attribute this success to two key factors: a collaborative decision process, in which all critical design and execution choices were laid out explicitly and debated with stakeholders in a public forum, and realism and honesty regarding the limitations of the system.     

A Roadmap for Increasing the Usefulness and Impact of Patient-Preference Studies in Decision Making in Health: A Good Practices Report of an ISPOR Task Force

Many qualitative and quantitative methods are readily available to study patient preferences in health. These methods are now being used to inform a wide variety of decisions, and there is a growing body of evidence showing studies of patient preferences can be used for decision making in a wide variety of contexts. This ISPOR Task Force report synthesizes current good practices for increasing the usefulness and impact of patient-preference studies in decision making. We provide the ISPOR Roadmap for Patient Preferences in Decision Making that invites patient-preference researchers to work with decision makers, patients and patient groups, and other stakeholders to ensure that studies are useful and impactful. The ISPOR Roadmap consists of 5 key elements: (1) context, (2) purpose, (3) population, (4) method, and (5) impact. In this report, we define these 5 elements and provide good practices on how patient-preference researchers and others can actively contribute to increasing the usefulness and impact of patient-preference studies in decision making. We also present a set of key questions that can support researchers and other stakeholders (eg, funders, reviewers, readers) to assess efforts that promote the ongoing impact (both intended and unintended) of a particular preference study and additional studies in the future.     

Cancellation of scheduled surgery at a university hospital: an exploratory study

In spite of the extensive available literature on surgery patients' preparation and on the performance of surgeries, the focus given to the cancellation of the surgical act has been quite restricted. This study aims at identifying the number of scheduled and cancelled surgeries as well as the services that are mostly affected by such cancellations and was carried out in the surgery service of a big public university hospital located in the metropolitan area of Fortaleza, Ceará. The data were collected through surgery registration books, daily maps of surgery schedules and from the files of patients scheduled for surgery from September to December, 1996. The gathered data were analyzed quantitatively and introduced in charts. The results demonstrate that from the 1,145 surgeries programmed in the selected period, 379 (33%) had been cancelled. The mostly prejudiced services were General Surgery, Ophthalmology, Head and Neck Surgery, Trauma and Orthopedics, Otorhinolaryngology, Nephrology and Renal Transplant, and Proctology. Further investigation in this area in order to know the determinant causes of surgery cancellation as well as the participation of nursing in the study of this problem are necessary.     

Associations Between Employees’ Work Schedules and the Vocational Consequences of Workplace Injuries

Introduction This study examines the effect of long-hour work schedules and nonstandard shift work (e.g., night and evening shifts) on the ability of injured workers to maintain productive employment following a workplace injury. Methods Analyses were based on 13 years of data from the National Longitudinal Survey of Youth. Multivariate logistic regression analyses were performed with one of ten nonstandard schedules as the independent variable and a particular vocational consequences as the dependent variable. Vocational consequences included being unable to perform normal job duties, temporary job reassignment, working less than full time, filing a workers’ compensation claim, and quitting or being fired because of the injury. Covariates in the regression model included age, gender, occupation, industry, and region. Results The most prominent effects of working a nonstandard schedule were a increased risk of being fired (OR = 1.81; 1.15–2.90 CI 95%), quitting (OR = 1.68; 1.20–2.36 CI 95%), or being unable to work full time (OR = 1.33; 1.08–1.64 CI 95%) following an injury, compared to injured workers in conventional schedules. Schedules involving overtime and long working hours generally had a greater impact on vocational consequences following a workplace injury than did schedules involving night, evening, and other nonstandard shift work. Conclusions Occupational rehabilitation professionals need to consider the specific type of work schedule when developing effective return-to-work plans for injured workers. Special precautions need to be taken for workers returning to schedules that involve more than 12 h per day, 60 h per week, and long commutes.