Anytime Cognition: An information agent for emergency response

Planning under pressure in time-constrained environments while relying on uncertain information is a challenging task. This is particularly true for planning the response during an ongoing disaster in a urban area, be that a natural one, or a deliberate attack on the civilian population. As the various activities pertaining to the emergency response need to be coordinated in response to multiple reports from the disaster site, a user finds itself cognitively overloaded. To address this issue, we designed the Anytime Cognition (ANTICO) concept to assist human users working in time-constrained environments by maintaining a manageable level of cognitive workload over time. Based on the ANTICO concept, we develop an agent framework for proactively managing a user’s changing information requirements by integrating information management techniques with probabilistic plan recognition. In this paper, we describe a prototype emergency response application in the context of a subset of the attacks devised by the American Department of Homeland Security

Emergency Department: Effectiveness of a Referral Intervention for High Utilizers

This research examined the impact of a referral intervention for patients with high utilization of the Emergency Department (ED) for non-­‐emergent care. The referral intervention was offered by the ED provider who provided the patient with feedback regarding their utilization along with a referral to outpatient services including: primary care physicians, mental health services, and brochure of available resources in the local area. This study used archival retrospective data, and compared frequency of ED visits pre-­‐ intervention and referral to post-­‐intervention frequency of visits and length of time between intervention and next visit. Following the intervention, the participants were classified as either responders or non-­‐responders based on their recidivism. An independent sample t-­‐test showed that the responder group had a significant decrease in number of visits to the ED during the post-­‐intervention period. Additionally, the responders had a significantly longer lag time before they returned to the ED as compared to the non-­‐responders. The referral did not significantly increase patients’ visits to their primary care physician/behavioral health consultant. Therefore brief-­‐ED based intervention may be useful in reducing recidivism in the ED

A cognitive architecture for emergency response

Plan recognition, cognitive workload estimation and human assistance have been extensively studied in the AI and human factors communities, resulting in many techniques being applied to domains of various levels of realism. These techniques have seldom been integrated and evaluated as complete systems. In this paper, we report on the development of an assistant agent architecture that integrates plan recognition, current and future user information needs, workload estimation and adaptive information presentation to aid an emergency response manager in making high quality decisions under time stress, while avoiding cognitive overload. We describe the main components of a full implementation of this architecture as well as a simulation developed to evaluate the system. Our evaluation consists of simulating various possible executions of the emergency response plans used in the real world and measuring the expected time taken by an unaided human user, as well as one that receives information assistance from our system. In the experimental condition of agent assistance, we also examine the effects of different error rates in the agent's estimation of user's stat or information needs

Characteristics of Real-Time, Non-Critical Incident Debriefing Practices in the Emergency Department.

INTRODUCTION: Benefits of post-simulation debriefings as an educational and feedback tool have been widely accepted for nearly a decade. Real-time, non-critical incident debriefing is similar to post-simulation debriefing; however, data on its practice in academic emergency departments (ED), is limited. Although tools such as TeamSTEPPS® (Team Strategies and Tools to Enhance Performance and Patient Safety) suggest debriefing after complicated medical situations, they do not teach debriefing skills suited to this purpose. Anecdotal evidence suggests that real-time debriefings (or non-critical incident debriefings) do in fact occur in academic EDs;, however, limited research has been performed on this subject. The objective of this study was to characterize real-time, non-critical incident debriefing practices in emergency medicine (EM). METHODS: We conducted this multicenter cross-sectional study of EM attendings and residents at four large, high-volume, academic EM residency programs in New York City. Questionnaire design was based on a Delphi panel and pilot testing with expert panel. We sought a convenience sample from a potential pool of approximately 300 physicians across the four sites with the goal of obtaining \u3e100 responses. The survey was sent electronically to the four residency list-serves with a total of six monthly completion reminder emails. We collected all data electronically and anonymously using SurveyMonkey.com; the data were then entered into and analyzed with Microsoft Excel. RESULTS: The data elucidate various characteristics of current real-time debriefing trends in EM, including its definition, perceived benefits and barriers, as well as the variety of formats of debriefings currently being conducted. CONCLUSION: This survey regarding the practice of real-time, non-critical incident debriefings in four major academic EM programs within New York City sheds light on three major, pertinent points: 1) real-time, non-critical incident debriefing definitely occurs in academic emergency practice; 2) in general, real-time debriefing is perceived to be of some value with respect to education, systems and performance improvement; 3) although it is practiced by clinicians, most report no formal training in actual debriefing techniques. Further study is needed to clarify actual benefits of real-time/non-critical incident debriefing as well as details on potential pitfalls of this practice and recommendations for best practices for use

Analyzing risk factors, resource utilization, and health outcomes of hospital-acquired delirium In elderly emergency department patients

BACKGROUND: Delirium is a disorder that is characterized by an acute change in cognitive functioning including inattention, and disordered thinking. Delirium disproportionately affects the population over the age of 65, and is associated with increased costs, worse outcomes and longer lengths of stay. Although delirium is estimated to affect approximately 10% of elderly patients in the emergency department (ED) and 42% of elderly inpatients, it often goes unrecognized by the clinical staff. There is evidence that delirium can be prevented through non-pharmacologic prevention strategies, however it is less clear which patients should be targeted for these measures. OBJECTIVES: The objective of this study is to identify risk factors for development of hospital-acquired delirium during the most proximal aspect of a patient’s hospital course, namely the ED. Secondary objectives of this study are to analyze resource utilization and outcomes associated with the development of hospital-acquired delirium. METHODS: This study is a secondary analysis of a prospective observational study conducted over 3 years at a single urban university hospital. Patients over the age of 65, who could complete a structured cognitive assessment interview, were screened for delirium by a trained research assistant. Patients that were judged to be not delirious in the ED, and who were then admitted to an inpatient unit were included in the final cohort. A validated chart review method was used to determine if patients developed delirium during the course of their hospitalization. Potential predictors of hospital-acquired delirium, including demographics, laboratory values, comorbidities and outcomes, were also abstracted from the medical chart. We performed a univariate analysis of these predictors and included those covariates with a p values ≤0.2 in multivariate analysis. We allowed 1 predictor per 10 outcomes in the final model to avoid over-fitting and evaluated the discriminatory ability and calibration of the model using the c-statistic and Hosmer-Lemeshow goodness-of-fit test. RESULTS: Of the 520 patients included in our cohort, 77 developed delirium over the course of their inpatient visit. Multivariate analysis identified 7 risk factors to predict delirium in elderly emergency department patients admitted to the hospital. Patients were more likely to develop delirium during their stay if they were age 80 or older, had a history of dementia, had a history of stroke or transient ischemic attack, were hypoxic or hyponatremic in the ED, or had an ED admitting diagnosis of acute stroke/transient ischemic attack or fall. The model had a c-statistic of 0.73 and a non-significant p-value of 0.7 in the Hosmer-Lemeshow goodness-of-fit test. CONCLUSION: The predictive model that we created may help identify a population to target for delirium prevention strategies in elderly emergency department patients, thereby reducing delirium incidence in hospitalized patients, and the associated morbidity, mortality, and healthcare utilization

The emergency department evaluation and outcomes of elderly fallers

BACKGROUND: Approximately one-third of community dwelling elderly people (age ≥65 years) falls each year contributing to over 2 million elderly emergency department (ED) visits for falls annually. The cost of care for fatal falls by elderly patients in the US was $179 million in 2000, and was$19 billion for non-fatal falls. The risk of falling increases with various risk factors including advancing age. Despite the frequency and costs associated with elderly falls, it is not clear what evaluation elderly fallers receive in the ED, after the ED, and the outcomes of the care provided. OBJECTIVES: We sought to examine the ED and post-ED workup of elderly fallers, and to compare this evaluation to that recommended by published ED fall evaluation and treatment guidelines. We also examined the disposition of these patients and the rate of adverse events which occurred within 1 year of discharge. METHODS: This study was a retrospective chart review of elderly ED fall patients from one urban teaching hospital with >90,000 visits per year. Patients aged ≥65 years who had an ED visit in 2012 with fall related ICD-9 codes E880-886, E888 and who had been seen by a primary care physician (PCP) within our hospital network during the past 3 years were included. We excluded patients who were transferred to our hospital and subsequent visits related to the original fall. We randomly selected 350 eligible patients for chart review. We adapted our data collection instrument from published fall evaluation recommendations including the American Geriatric Society. Categorical data were presented as percentages and continuous data were recorded as mean with standard deviation (SD) if normally distributed or medians with inter-quartile ranges (IQR) if non-normally distributed. RESULTS: A random sample of 450 charts were taken, 100 were subsequently excluded for erroneous identification. The average age was 80 (SD±9) years; 124 (35%) were male, with an average Charlson comorbidity index of 7.6 (SD 2.9). In terms of history, 251/350 (72%) took 5 or more medications, 144/350 (41%) had their visual acuity checked in the past 12 months, and 34/350 (10%) had fallen two or more times in the past 3 months. In the physical exam, only 43/350 (12%) had orthostatics done. 168/350 (48%) patients had their extremity strength recorded, of these 16/168 (10%) had decreased muscle strength. Only 128/350 (37%) patients had their gait recorded, of which 108/128 (84%) were noted to have an abnormal gait. Basic chemistry laboratory tests and hematology were sent on 199/350 (57%) of patients in the ED. X-rays were taken of 275/350 (79%) patients, and CTs were taken of 184/350 (53%) patients in the ED. 277/350 (79%) patients were discharged to their place of preadmission residence from the ED, ED observation unit, or hospital while 70/350 (20%) were discharged to a skilled rehab facility, all after being admitted to the hospital. 196/350 (56%) patients returned to the ED for any reason within 1 year of discharge, averaging 2.4 ± 1.9 visits. 161/350 (46%) patients were hospitalized within 1 year after discharge, averaging 2 ± 1.4 hospital admissions. 23 (7%) of patients died within 1 year after discharge. CONCLUSION: The comprehensive evaluation of falls for well-established risk factors and causes appears to be poor in this academic medical center ED. While results may not be generalizable to other EDs, the results suggest that standardized evaluation and treatment guidelines are needed

Understanding The Decision-Making Process of Local Level Emergency Managers and Future Impacts of Social Data

During the course of a natural disaster, affected populations turn to different avenues to attempt to communicate their needs and locations while emergency managers are faced with the task of making quick decisions to aid in the response effort. The decisions that emergency managers face are affected by factors such as available resources, responder safety, and source of information. In this research, we interview emergency managers about the 2009 North American Ice Storm and a flooding event in late April of 2017 to understand the decisions made and the factors that affected these decisions. Using these interviews, a list of interview questions using the Critical Decision Method were created that could be used to more deeply understand the decisions and decision-making process of a local-level emergency manager during a disaster response event. Additionally, animations were created to illustrate the comparative effectiveness of disaster response routing plans developed with and without the consideration of social data based on data inspired by a real event

Describing interruptions, multi-tasking and task-switching in the community pharmacy: A qualitative study in England

Background: There is growing evidence base around interruptions and distractions in the community pharmacy setting. There is also evidence to suggest these practices may be associated with dispensing errors. Up to date, qualitative research on this subject is limited. Objective: To explore interruptions and distractions in the community setting; utilising an ethnographic approach to be able to provide a detailed description of the circumstances surrounding such practices. Setting: Community pharmacies in England, July to October 2011. Method: An ethnographic approach was taken. Non participant, unstructured observations were utilised to make records of pharmacists’ every activities. Case studies were formed by combining field notes with detailed information on pharmacists and their respective pharmacy businesses. Content analysis was undertaken both manually and electronically, utilising NVivo 10. Results: Response rate was 12% (n=11). Over fifteen days, a total of 123 hours and 58 minutes of observations were recorded in 11 separate pharmacies of 11 individual pharmacists. The sample was evenly split by gender (female n=6; male n=5) and pharmacy ownership (independent n=5; multiple n=6). Employment statuses included employee pharmacists (n=6), owners (n=4) and a locum (n=1). Average period of registration as a pharmacist was 19 years (range 5-39 years). Average prescriptions busyness of pharmacies ranged from 2,600 – 24,000 items dispensed per month. Two key themes were: “Interruptions and task-switching” and “distractions and multi-tasking.” All observed pharmacists’ work was dominated by interruptions, task-switches, distractions and multi-tasking, often to manage a barrage of conflicting demands. These practices were observed to be part of a deep-rooted culture in the community setting. Directional work maps illustrated the extent and direction of task switching employed by pharmacists. Conclusions: In this study pharmacists’ working practices were permeated by interruptions and multi-tasking. These practices are inefficient and potentially reduce patient safety in terms of dispensing accuracy