An alternative outpatient scheduling system: Improving the outpatient experience

Huang, Yu-Li

doi:10.1080/19488300.2012.680003

Cited by 31 publications

(26 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…High‐quality simulations can be used in healthcare when they accurately reflect the complexity that is inherent within healthcare systems, thus facilitating the evaluation of multiple hypotheses (Burton, Altman, Royston, & Holder, ). Simulation is a tool widely used in healthcare process improvement to improve scheduling (Ewen & Mönch, ; Huang, Hancock, & Herrin, ; Niziolek, Chiam, & Yih, ; Oh et al, ) as well as to support decision making (Baril, Gascon, Miller, & Bounhol, ; Hamrock, Paige, Parks, Scheulen, & Levin, ), but unlike those models, our simulation was not resource dependent. Resource‐dependent models have resources (e.g., doctors and nurses) built into them that an entity (e.g., a patient) seizes in the simulation and allows the research team to understand the resource constraints, such as staffing issues.…”

Section: Methodsmentioning

confidence: 99%

Identifying the timing and duration of collecting patient priorities in an orthopedic clinic

Jurewicz

Hobbs

Neyens

et al. 2018

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

The patient‐centered care model supports patients actively engaging in their care. Typically this involves collecting patient‐reported outcomes and priorities that may not be part of the routine practice. There is a research gap related to whether there is time available within the routine orthopedic medical practice to collect patient‐centered data for immediate use without delaying the overall clinical processes or influencing patient clinical experiences. A time study was conducted to quantify the current patient processes at an orthopedic clinic, and a statistical simulation model was used to evaluate potential changes in patients’ clinical process if a patient‐centered survey were to be implemented. The proportion of simulated patients who would experience delays due to the survey, the durations of their delays, and the average duration of the patient process delay were recorded at each step in the clinical process. The results are presented in terms of the relationship between the time devoted to collecting data and the impact on the patient experience for various survey durations at various process points. This study demonstrates an approach to evaluate how introducing a patient priorities survey (for collecting both patient‐reported outcomes and priorities), which could be used in the same patient visit, might impact the clinical process and introduce process delays.

show abstract

Section: Methodsmentioning

confidence: 99%

Identifying the timing and duration of collecting patient priorities in an orthopedic clinic

Jurewicz

Hobbs

Neyens

et al. 2018

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…It is primarily focused on informing administrative stakeholder decision-making based on computational optimization of time and cost [39]. It is primarily focused on quantitatively representing the system in order to use optimization techniques for applications ranging from scheduling [40][41][42][43][44][45], reducing errors [46], improving hospital outpatient flow [47,48], improving emergency room operations [49], and improving patient safety [50].…”

Section: Domains Applying Systems Thinking To the Health Fieldmentioning

confidence: 99%

A Systems Thinking Approach to Designing Clinical Models and Healthcare Services

Khayal

2019

Systems

View full text Add to dashboard Cite

Chronic diseases are on the rise, increasing in number and treatment regimen complexity. Consequently, the needs of patients with chronic diseases are increasing and becoming more complex and multi-faceted. Such chronic conditions require addressing not only the physical body, but also psychosocial and spiritual health. The healthcare delivery system, however, organically organized into departments based on physical organ systems. Such a configuration makes it ill-suited to provide comprehensive multi-faceted healthcare services that span multiple departments and specialties (e.g., podiatry and endocrinology for diabetes; primary care and psychiatry for behavioral health; and palliative care physicians, chaplains, and social workers for end-of-life care). To deliver new services, the medical field typically designs new clinical models to base its new services on. Several challenges arise from typical approaches to designing healthcare services and clinical models, including addressing only single conditions, describing models only at a high-level of abstraction, and using primarily narrative documents called text-based toolkits for implementation. This paper presents and uses systems thinking as an alternative strategy to designing clinical system models and healthcare services to alleviate many of the current design challenges in designing integrated services for chronic conditions. An illustrative example taking a clinical model and describing it as a system model is presented.

show abstract

“…Although there were traces of the interactions between systems thinking and healthcare back in the 1950s, it is only recently that the field has started to discuss these possibilities [Anderson and McDaniel, ; Murray and Berwick, ; Proctor et al., ; Ben‐Tzion Karsh and Alper, ; Wu et al., ; Omachonu and Einspruch, ; Kopach‐Konrad et al., ; Wickramasinghe et al., ; Rouse, ; Rouse and Cortese, ; Ross and Bidanda, ]. A new journal has been recently started [Fowler et al., ] in 2011 with applications ranging from scheduling [Mobasher et al., ; Herring and Herrmann, ; Pérez et al., ; Turkcan et al., ; Koeleman and Koole, ; Huang, Hancock, and Herrin, ; Lin et al., ; Mancilla and Storer, ; Claudio et al., ; Ewen and Mönch, ; Alaeddini et al., ], to reducing errors [Alvarado et al., ], improving hospital outpatient flow [Marmor et al., ; Peck et al., ], improving emergency room operations [Kaner et al., ], and improving patient safety [Rivera and Karsh, ].…”

Section: Background Conceptsmentioning

confidence: 99%

The Need for Systems Tools in the Practice of Clinical Medicine

Khayal

Farid

2017

Syst Eng

View full text Add to dashboard Cite

Humanity is currently facing an unprecedented chronic disease burden. Healthcare needs have significantly shifted from treating acute to treating chronic conditions. Chronic diseases tend to involve multiple factors with complex interactions between them evidenced by the continually growing medical knowledge base. The health profession requires the ability to manage this rapidly deepening knowledge base to assimilate the lessons from research and clinical care experience by systematically capturing, assessing, and translating it into the highest level of reliable care. A more systems approach to practicing medicine exists and is referred to as functional medicine. It takes into account the many subsystems in the human body and their many interactions. Although the science behind treating the patient as a system exists, the application of systems tools and techniques have not been utilized. It is only natural to begin to formalize the systems thinking using the established tools from the systems engineering field. Specifically, this paper presents the need for systems tools in the practice of clinical medicine and includes an example application of model-based systems engineering to clinical medicine. C⃝ 2017

show abstract

An alternative outpatient scheduling system: Improving the outpatient experience

Cited by 31 publications

References 20 publications

Identifying the timing and duration of collecting patient priorities in an orthopedic clinic

Identifying the timing and duration of collecting patient priorities in an orthopedic clinic

A Systems Thinking Approach to Designing Clinical Models and Healthcare Services

The Need for Systems Tools in the Practice of Clinical Medicine

Contact Info

Product

Resources

About