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Dive into the research topics where Kevin M. Baumlin is active.

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Featured researches published by Kevin M. Baumlin.


The Joint Commission Journal on Quality and Patient Safety | 2010

Clinical Information System and Process Redesign Improves Emergency Department Efficiency

Kevin M. Baumlin; Jason S. Shapiro; Corey Weiner; Brett Gottlieb; Neal Chawla; Lynne D. Richardson

BACKGROUND Fueled by a decade-long increase in emergency department (ED) visits with a concomitant decrease in hospital bed capacity and the number of hospital EDs, ED crowding has reached crisis proportions. Robust information systems and process redesign are two strategies to improve the safety and quality of emergency care. At the ED at the Mount Sinai Medical Center, an urban, tertiary care academic medical center in New York City, elements of departmental work flow were redesigned to streamline patient throughput before implementation of a fully integrated emergency department information system (EDIS) with patient tracking, computerized charting and order entry, and direct access to patient historical data from the hospital data repository. Pre- and postintervention data were analyzed to examine the impact on (ED) efficiency. RESULTS The length of stay for all patients (arrival to time patient left ED) decreased by 1.94 hours, from 6.69 (n = 508) pre-intervention to 4.75 (n = 691) postintervention (p < .001); doctor-to-disposition time (first doctor-patient contact to disposition decision) decreased by 1.90 hours, from 3.64 (n = 508) to 1.74 (n = 691; p < .001); door-to-doctor time (triage to first doctor-patient contact) decreased by 0.54 hours, from 1.22 (n = 508) to 0.68 (n = 691; p < .001). X-ray turnaround time (TAT) decreased by 0.18 hours from 0.92 (n = 60) to 0.74 (n = 108; p = .179); computerized tomography (CT) scan TAT decreased by 1.56 hours, from 3.89 (n = 40) to 2.33 (n = 29; p < .001), lab TAT decreased by 0.59 hours, from 2.03 (n = 121) to 1.44 (n = 271; p = .006). CONCLUSIONS Increasing the clinical information available at the bedside and improving departmental work flow through EDIS implementation and process redesign led to decreased patient throughput times and improved ED efficiency.


Academic Emergency Medicine | 2010

Emergency Department Patient Volume and Troponin Laboratory Turnaround Time

Ula Hwang; Kevin M. Baumlin; Jeremy P Berman; Neal Chawla; Daniel A. Handel; Kennon Heard; Elayne Livote; Jesse M. Pines; Morgan Valley; Kabir Yadav

OBJECTIVES Increases in emergency department (ED) visits may place a substantial burden on both the ED and hospital-based laboratories. Studies have identified laboratory turnaround time (TAT) as a barrier to patient process times and lengths of stay. Prolonged laboratory study results may also result in delayed recognition of critically ill patients and initiation of appropriate therapies. The objective of this study was to determine how ED patient volume itself is associated with laboratory TAT. METHODS This was a retrospective cohort review of patients at five academic, tertiary care EDs in the United States. Data were collected on all adult patients seen in each ED with troponin laboratory testing during the months of January, April, July, and October 2007. Primary predictor variables were two ED patient volume measures at the time the troponin test was ordered: 1) number of all patients in the ED/number of beds (occupancy) and 2) number of admitted patients waiting for beds/beds (boarder occupancy). The outcome variable was troponin turnaround time (TTAT). Adjusted covariates included patient characteristics, triage severity, season (month of the laboratory test), and site. Multivariable adjusted quantile regression was carried out to assess the association of ED volume measures with TTAT. RESULTS At total of 9,492 troponin tests were reviewed. Median TTAT for this cohort was 107 minutes (interquartile range [IQR] = 73-148 minutes). Median occupancy for this cohort was 1.05 patients (IQR = 0.78-1.38 patients) and median boarder occupancy was 0.21 (IQR = 0.11-0.32). Adjusted quantile regression demonstrated a significant association between increased ED patient volume and longer times to TTAT. For every 100% increase in census, or number of boarders over the number of ED beds, respectively, there was a 12 (95% confidence interval [CI] = 9 to 14) or 33 (95% CI = 24 to 42)-minute increase in TTAT. CONCLUSIONS Increased ED patient volume is associated with longer hospital laboratory processing times. Prolonged laboratory TAT may delay recognition of conditions in the acutely ill, potentially affecting clinician decision-making and the initiation of timely treatment. Use of laboratory TAT as a patient throughput measure and the study of factors associated with its prolonging should be further investigated.


Annals of Emergency Medicine | 2009

Forecasting Emergency Department Crowding: An External, Multicenter Evaluation

Nathan R. Hoot; Stephen K. Epstein; Todd L. Allen; Spencer S. Jones; Kevin M. Baumlin; Neal Chawla; Anna T. Lee; Jesse M. Pines; Amandeep K. Klair; Bradley D. Gordon; Thomas J. Flottemesch; Larry J. LeBlanc; Ian Jones; Scott Levin; Chuan Zhou; Cynthia S. Gadd; Dominik Aronsky

STUDY OBJECTIVE We apply a previously described tool to forecast emergency department (ED) crowding at multiple institutions and assess its generalizability for predicting the near-future waiting count, occupancy level, and boarding count. METHODS The ForecastED tool was validated with historical data from 5 institutions external to the development site. A sliding-window design separated the data for parameter estimation and forecast validation. Observations were sampled at consecutive 10-minute intervals during 12 months (n=52,560) at 4 sites and 10 months (n=44,064) at the fifth. Three outcome measures-the waiting count, occupancy level, and boarding count-were forecast 2, 4, 6, and 8 hours beyond each observation, and forecasts were compared with observed data at corresponding times. The reliability and calibration were measured following previously described methods. After linear calibration, the forecasting accuracy was measured with the median absolute error. RESULTS The tool was successfully used for 5 different sites. Its forecasts were more reliable, better calibrated, and more accurate at 2 hours than at 8 hours. The reliability and calibration of the tool were similar between the original development site and external sites; the boarding count was an exception, which was less reliable at 4 of 5 sites. Some variability in accuracy existed among institutions; when forecasting 4 hours into the future, the median absolute error of the waiting count ranged between 0.6 and 3.1 patients, the median absolute error of the occupancy level ranged between 9.0% and 14.5% of beds, and the median absolute error of the boarding count ranged between 0.9 and 2.8 patients. CONCLUSION The ForecastED tool generated potentially useful forecasts of input and throughput measures of ED crowding at 5 external sites, without modifying the underlying assumptions. Noting the limitation that this was not a real-time validation, ongoing research will focus on integrating the tool with ED information systems.


International Journal of Emergency Medicine | 2010

Knowledge translation of the American College of Emergency Physicians’ clinical policy on syncope using computerized clinical decision support

Edward R. Melnick; Nicholas Genes; Neal Chawla; Meredith Akerman; Kevin M. Baumlin; Andy Jagoda

AimsTo influence physician practice behavior after implementation of a computerized clinical decision support system (CDSS) based upon the recommendations from the 2007 ACEP Clinical Policy on Syncope.MethodsThis was a pre-post intervention with a prospective cohort and retrospective controls. We conducted a medical chart review of consecutive adult patients with syncope. A computerized CDSS prompting physicians to explain their decision-making regarding imaging and admission in syncope patients based upon ACEP Clinical Policy recommendations was embedded into the emergency department information system (EDIS). The medical records of 410 consecutive adult patients presenting with syncope were reviewed prior to implementation, and 301 records were reviewed after implementation. Primary outcomes were physician practice behavior demonstrated by admission rate and rate of head computed tomography (CT) imaging before and after implementation.ResultsThere was a significant difference in admission rate pre- and post-intervention (68.1% vs. 60.5% respectively, p = 0.036). There was no significant difference in the head CT imaging rate pre- and post-intervention (39.8% vs. 43.2%, p = 0.358). There were seven physicians who saw ten or more patients during the pre- and post-intervention. Subset analysis of these seven physicians’ practice behavior revealed a slight significant difference in the admission rate pre- and post-intervention (74.3% vs. 63.9%, p = 0.0495) and no significant difference in the head CT scan rate pre- and post-intervention (42.9% vs. 45.4%, p = 0.660).ConclusionsThe introduction of an evidence-based CDSS based upon ACEP Clinical Policy recommendations on syncope correlated with a change in physician practice behavior in an urban academic emergency department. This change suggests emergency medicine clinical practice guideline recommendations can be incorporated into the physician workflow of an EDIS to enhance the quality of practice.


Academic Emergency Medicine | 2010

Electronic Collaboration: Using Technology to Solve Old Problems of Quality Care

Kevin M. Baumlin; Nicholas Genes; Adam B. Landman; Jason S. Shapiro; Todd Taylor; Bruce Janiak

The participants of the Electronic Collaboration working group of the 2010 Academic Emergency Medicine consensus conference developed recommendations and research questions for improving regional quality of care through the use of electronic collaboration. A writing group devised a working draft prior to the meeting and presented this to the breakout session at the consensus conference for input and approval. The recommendations include: 1) patient health information should be available electronically across the entire health care delivery system from the 9-1-1 call to the emergency department (ED) visit through hospitalization and outpatient care, 2) relevant patient health information should be shared electronically across the entire health care delivery system, 3) Web-based collaborative technologies should be employed to facilitate patient transfer and timely access to specialists, 4) personal health record adoption should be considered as a way to improve patient health, and 5) any comprehensive reform of regionalization in emergency care must include telemedicine. The workgroup emphasized the need for funding increases so that research in this new and exciting area can expand.


Journal of the American Geriatrics Society | 2014

Care and Respect for Elders in Emergencies Program: A Preliminary Report of a Volunteer Approach to Enhance Care in the Emergency Department

Martine Sanon; Kevin M. Baumlin; Shari Sirkin Kaplan; Corita R. Grudzen

Older adults who present to an emergency department (ED) generally have more‐complex medical conditions with complicated care needs and are at high risk for preventable adverse outcomes during their ED visit. The Care and Respect for Elders with Emergencies (CARE) volunteer initiative is a geriatric‐focused volunteer program developed to help prevent avoidable complications such as falls, delirium and use of restraints, and functional decline in vulnerable elders in the ED. The CARE program consists of bedside volunteer interventions ranging from conversation to various short activities designed to engage and reorient high‐risk, older, unaccompanied individuals in the ED. This article describes the development and characteristics of the CARE program, the services provided, the experiences of the elderly patients and their volunteers, and the growth of the program over time.


Academic Emergency Medicine | 2003

HandiStroke: A Handheld Tool for the Emergent Evaluation of Acute Stroke Patients

Jason S. Shapiro; Michael J. Bessette; Steven R. Levine; Kevin M. Baumlin

BACKGROUND The management of acute stroke is time-sensitive. Clinical decision making requires data not only from laboratory testing and neuroimaging, but also from a detailed history and neurologic examination. The neurologic examination provides baseline information and assists in differentiating acute stroke from its mimickers. There is a need for tools to facilitate the evaluation and decision making in the acute stroke patient to make the correct diagnosis and, when indicated, to properly administer intravenous thrombolytic therapy. OBJECTIVES The goals of this project were to create a standardized, handheld software program to aid physicians in their evaluation of patients presenting to the emergency department (ED) with acute ischemic stroke, and to create an educational tool with which residents and other health care professionals can gain a level of proficiency in treating these patients. RESULTS A comprehensive handheld tool was created that incorporates a National Institutes of Health Stroke Scale (NIHSS) calculator, inclusion criteria, absolute contraindications, and relative warnings for thrombolytic use (i.e., recombinant tissue plasminogen activator), and a weight-based dosing calculator that flows in a logical and clinically relevant format. Additionally, the program includes reference materials and guidelines for clinical management to further assist the clinician. CONCLUSIONS Applications of this program include reformatting for use as a data-gathering tool in future clinical studies investigating the treatment of stroke patients, increasing the use and documentation of the NIHSS within the ED in acute ischemic stroke patients, and improving protocol adherence for rt-PA use.


Social Work in Health Care | 2015

The Evolving Role of Geriatric Emergency Department Social Work in the Era of Health Care Reform.

Christine Hamilton; Liza Ronda; Ula Hwang; Gallane Abraham; Kevin M. Baumlin; Barbara Morano; Denise Nassisi; Lynne Richardson

In the era of Medicaid Redesign and the Affordable Care Act, the emergency department (ED) presents major opportunities for social workers to assume a leading role in the delivery of care. Through GEDI WISE—Geriatric Emergency Department Innovations in care through Workforce, Informatics and Structural Enhancements,—a unique multidisciplinary partnership made possible by an award from the Center for Medicare and Medicaid Innovation, social workers in The Mount Sinai ED have successfully contributed to improvements in health outcomes and transitions for older adults receiving emergency care. This article will describe the pivotal and highly valued role of the ED social worker in contributing to the multidisciplinary accomplishments of GEDI WISE objectives in this new model of care.


Journal of Hospital Medicine | 2010

A model of a hospitalist role in the care of admitted patients in the emergency department.

Alan Briones; Brian Markoff; Navneet Kathuria; Andy Jagoda; Kevin M. Baumlin; Scot Hill; Lawrence Mumm; Ramiro Jervis; Andrew Dunn

Emergency Department (ED) overcrowding has become an important problem in North American hospitals. A national survey identified the prolonged length of stay of admitted patients in the ED as the most frequent reason for overcrowding. This complex problem occurs when hospital inpatient census increases and prevents admitted patients from being assigned and transported to hospital beds in a timely manner. The practice of holding admitted patients in the ED, known as ‘‘boarding,’’ is typically defined as the length of stay (LOS) in ED beginning 2 hours after the time of admission to the time of transfer to the wards. In a study of daily mean ED LOS, Rathlev et al. concluded that a 5% increase in hospital occupancy resulted in 14 hours of holding time for all patients in the ED, and an observational study found that when hospital occupancy exceeds a threshold of 90%, the ED LOS for admitted patients correspondingly increased. Thus, efforts to decrease overcrowding will need to address both ED and hospital throughput and LOS. Most importantly, overcrowding has important consequences on physician and patient satisfaction and the quality of patient care. Between 1995 and 2005, ED visits rose 20% from 96.5 million to 115.3 million visits annually, while the number of hospital EDs decreased from 4176 to 3795, making an overall 7% increase in ED utilization rate. Similarly, there was a 12% increase in the total inpatient admissions for all registered hospitals in the United States from 31 million in 1995 to 35.3 million in 2005. However, despite this increase in demand of ED utilization and inpatient admissions, there had been a steady decline in the supply of hospital beds, from 874,000 in 1995, to 805,000 in 2006. These factors have exacerbated the problem of ED overcrowding and boarding. Not only does boarding entail additional consumption of space, resources, equipment, and manpower, it also potentially compromises patient safety. Typically, hospitalists and inpatient medical teams are engaged in providing care to patients in the wards, while ED physicians and nurses are busy taking care of newly-arrived ED patients. Non-ED physicians may have the false impression that their boarded patients, while in the ED, are receiving continuous care and so may decide to delay seeing these patients, which can jeopardize the quality and timeliness of care. Studies have shown that ED overcrowding may potentially lead to poor patient care and outcomes and increased risk for medical errors. ED overcrowding potentially causes multiple effects, including prolonging patient pain and suffering, long patient waiting time, patient dissatisfaction, ambulance diversions, decreased physician productivity, and increased frustration among medical staff. In a report by the Joint Commission Accreditation of Healthcare Organizations, ED overcrowding was cited as a significant contributing factor in sentinel event cases of patient death or permanent injury due to delays in treatment. Boarding critically ill patients who are physiologically vulnerable and unstable can allow them to be subjected to treatment delays at a pivotal point when timesensitive interventions are necessary, ie, sepsis or cardiogenic shock—the ‘‘golden hour’’ in trauma. Medical errors are usually not caused by individual errors but by complex hospital systems; and ED overcrowding is a prime example of a system problem that creates a high-risk environment for medical errors and threatens patient safety. Our hospital commonly has 5 to 15 boarders and often has 20 to 30 boarders at any time. Approximately 90% of these patients are admitted to the Medical Service. In response to this challenge, our institution has designated a full-time hospitalist to manage boarded patients. The primary goal of this new role is to ensure patient safety and the delivery of high-quality care while admitted patients are in the ED (Table 1). The objectives of the study were to determine: (1) the impact on quality of care by assessing laboratory results acted upon and medication follow-up by the ED hospitalist, and (2) the impact on throughput by assessing the number of ED discharges and telemetry downgrades.


international conference of design, user experience, and usability | 2014

Usability Improvement of a Clinical Decision Support System

Frederick Thum; Min Soon Kim; Nicholas Genes; Laura Rivera; Rosemary Beato; Jared Soriano; Joseph Kannry; Kevin M. Baumlin; Ula Hwang

This paper focuses on improving the usability of an electronic health record (EHR) embedded clinical decision support system (CDSS) targeted to treat pain in elderly adults. CDSS have the potential to impact provider behavior. Optimizing CDSS-provider interaction and usability may enhance CDSS use. Five CDSS interventions were developed and deployed in test scenarios within a simulated EHR that mirrored typical Emergency Department (ED) workflow. Provider feedback was analyzed using a mixed methodology approach. The CDSS interventions were iteratively designed across three rounds of testing based upon this analysis. Iterative CDSS design led to improved provider usability and favorability scores.

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Jason S. Shapiro

Icahn School of Medicine at Mount Sinai

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Lynne D. Richardson

Icahn School of Medicine at Mount Sinai

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Nicholas Genes

Icahn School of Medicine at Mount Sinai

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Neal Chawla

Inova Fairfax Hospital

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Andy Jagoda

Icahn School of Medicine at Mount Sinai

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Ula Hwang

Icahn School of Medicine at Mount Sinai

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Jesse M. Pines

George Washington University

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John Bruns

Icahn School of Medicine at Mount Sinai

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Michael J. Bessette

Icahn School of Medicine at Mount Sinai

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