The multitasking clinician: Decision-making and cognitive demand during and after team handoffs in emergency care

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Abstract

Several studies have shown that there is information loss during interruptions, and that multitasking creates higher memory load, both of which contribute to medical error. Nowhere is this more critical than in the emergency department (ED), where the emphasis of clinical decision is on the timely evaluation and stabilization of patients. This paper reports on the nature of multitasking and shift change and its implications for patient safety in an adult ED, using the methods of ethnographic observation and interviews. Data were analyzed using grounded theory to study cognition in the context of the work environment. Analysis revealed that interruptions within the ED were prevalent and diverse in nature. On average, there was an interruption every 9 and 14 min for the attending physicians and the residents, respectively. In addition, the workflow analysis showed gaps in information flow due to multitasking and shift changes. Transfer of information began at the point of hand-offs/shift changes and continued through various other activities, such as documentation, consultation, teaching activities and utilization of computer resources. The results show that the nature of the communication process in the ED is complex and cognitively taxing for the clinicians, which can compromise patient safety. The need to tailor existing generic electronic tools to support adaptive processes like multitasking and handoffs in a time-constrained environment is discussed.

Introduction

The working environment of an emergency department (ED) is a unique, complex and dynamic environment. This is reflected in the varying, often overwhelming volume of patients seen in busy emergency departments as well as the range of acuity of clinical encounters [1]. In addition, an ED is an example of a multifaceted organization composed of complex social environments, where interruptions are frequent and disruptive [2], [3], [4]. Such environments, where decisions are made under time pressure and with incomplete information, have been considered conducive to error [5]. Studies such as the Harvard Medical Practice Study reported that approximately 1.5–3% of observed adverse events occurred in emergency departments [6]. Most importantly, these studies found that emergency departments had the highest proportion of preventable errors, which were most commonly diagnostic errors. This data suggests that cognitive errors associated with clinical decision-making are critically important to the ED [7]. Some researchers have suggested that the nature of decision-making should not be studied in isolation from other processes such as situation awareness, problem solving, uncertainty management and the development of expertise [8]. In parallel, the patient safety movement has evolved from a “phenotypic” study of the surface descriptors of medical error (the who, what, where and when of adverse events) to a “genotypic” approach that seeks to identify how people, teams, and organizations coordinate activities, information, and problem solving in order to cope with the complexities of situations that can arise in daily life [9]. The link between cognitive error and decision-making, and the importance of characterizing the context in which they are interconnected, necessitates the naturalistic study of error in emergency departments [10].

Our study was conducted in the naturalistic environment of the emergency department in order to characterize the factors that constrain safe decisions in patient care. In this paper, we focus on the nature of interruptions, multitasking and shift change that have been recognized as important patient safety issues in dynamic clinical environments [2], [11], [12].

Section snippets

Background and theoretical foundation

First, do no harm”. While medical errors have existed since before Hippocrates, the true magnitude of adverse events in healthcare was brought to the forefront of public debate after the Institute of Medicine (IOM) reported in 1999 that approximately 98,000 deaths per year were attributable to errors in hospitals [13]. Critical care environments, such as emergency departments, ICU, and surgical suites, were characterized as complex, tightly coupled systems intrinsically prone to accidents. In

Study setting

The study was carried out in the adult emergency department (ED) located within a large tertiary care, teaching hospital affiliated with two university medical schools in New York City. The hospital's Institutional Review Board approved the study and measures were taken to preserve the confidentiality of the data sources and patients.

Data collection

Data were collected using ethnographic techniques of observations and interviews.

The ED workflow

The workflow diagram (Fig. 1) was constructed to reflect the process of movement and flow of patients and the process of care from the moment the patient entered the emergency department until they are either discharged or transferred to a different district of the ED or hospital. The workflow model was drawn, based on the observation of the patients and clinicians over the period of study. A summary of this process is given below.

Patients either walk into the ED or are brought in by ambulance

Understanding of workflow by clinical agents

A summary of the analysis of the interview data is given in Table 1, with data categorized into a number of response themes. Subjects’ responses (across type of medical personnel) demonstrated a consistency of views with regard to perceptions of their individual roles within the system, suggesting a pattern of uniformity within and across each type of medical personnel.

Summary of results

The observation and interview data revealed the overall structure of workflow and the interaction of various artifacts within the functional and organizational infrastructure of the emergency department. Interruptions within the ED were prevalent and diverse in nature. Clinicians, requiring continual reprioritization of the tasks at hand, were constantly multitasking. Considerable differences exist between the level of activities and the number of interruptions encountered by attending

Discussion

Our results show that the effective functioning of the emergency department seems highly dependent upon the outstanding operation of the human aspect of its work system. Although technology plays an increasingly important role in decision-making, its full potential is yet to be utilized. This realization is important in developing a safer healthcare environment in the ED. A system that is highly dependent upon the exceptional functioning of its human components to make up for its deficiencies

Implications

The ED, a unique clinical environment, requires distinctive solutions to address the workflow issues that contribute to the occurrence of medical error. Although long-term solutions must be sought to reduce the root causes of error, the adaptive behavior of the human components of this system must also be bolstered in the meantime. Even though the adoption of technology may benefit the ED, our results suggest that the existing generic electronic tools might alone be ill-suited for this

Conclusions

Interruptions within the dynamic environment of the emergency department are multifaceted, diverse in nature and varied with regard to the benefits they provide to clinicians. Multitasking is a necessary aspect of such an environment, requiring physicians and other clinicians to constantly assess the priority of their tasks. As such, clinicians often rely on internal schemas, implicit knowledge, and interruptions in order to perform their tasks and are thus burdened with a considerable

Acknowledgements

This research was supported by grant R01 LM07894 from the National Library of Medicine to Vimla Patel. We thank the administration and staff at the NYPH Emergency Department for their participation and support and extend our gratitude to the subjects we interviewed. Special thanks to Lily Gutnik, Jan Horsky and Nicole Yoskowitz for their assistance with various stages of data analysis and writing of this manuscript.

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