Ambulance Transport Destinations In The US Differ By Patient Race And Ethnicity.

Patients in the US belonging to racial or ethnic minority groups often receive medical care in different hospitals than White patients, which contributes to health care disparities. We explored whether ambulance transport destinations contribute to this phenomenon. Using a national emergency medical services research data set for calendar year 2020, we made within-ZIP code comparisons of the transport destinations for White patients and non-White patients transported by ambulance from emergency scenes. We used the dissimilarity index to measure transport destination discordances and decided a priori that a more than 5 percent difference in transport destinations (that is, dissimilarity index >0.05) would be practically meaningful. We found meaningful differences in the destination hospitals for White and non-White patients transported by ambulance from locations in the same ZIP code. The median ZIP code dissimilarity index was 0.08, 64 percent of ZIP codes had a dissimilarity index above 0.05, and 61 percent of patients were transported from ZIP codes with a dissimilarity index above 0.05. Forty-one percent of ZIP codes had a dissimilarity index above 0.10, and one-third of the patients were transported from those ZIP codes. These data indicate that ambulance transport destinations contribute to discordances in where White and non-White patients receive medical care.

Is Use of Warning Lights and Sirens Associated With Increased Risk of Ambulance Crashes? A Contemporary Analysis Using National EMS Information System (NEMSIS) Data.

STUDY OBJECTIVE: We compare reported crash rates for US ambulances responding to or transporting patients from a 911 emergency scene with or without lights and sirens. Our null hypothesis is that there will be no difference in the rate of ambulance crashes whether lights and sirens are used. METHODS: For this retrospective cohort study, we used the 2016 National EMS Information System data set to identify 911 scene responses and subsequent patient transports by transport-capable emergency medical services (EMS) units. We used the system's "response mode to scene" and "transport mode from scene" fields to determine lights and sirens use. We used the "type of response delay" and "type of transport delay" fields to identify responses and transports that were delayed because of a crash involving the ambulance. We calculated the rate of crash-related delays per 100,000 responses or transports and used multivariable logistic regression with clustered (by agency) standard errors to calculate adjusted odds ratios (AORs) (with 95% confidence intervals [CIs]) for the association between crash-related delays and lights and sirens use for responses and transports separately. RESULTS: Among 19 million included 911 scene responses, the response phase crash rate was 4.6 of 100,000 without lights and sirens and 5.4 of 100,000 with lights and sirens (AOR 1.5; 95% CI 1.2 to 1.9). For the transport phase, the crash rate was 7.0 of 100,000 without lights and sirens and 17.1 of 100,000 with lights and sirens (AOR 2.9; 95% CI 2.2 to 3.9). Excluding responses and transports with only partial lights and sirens use did not meaningfully alter the results (response AOR 1.5, 95% CI 1.2 to 1.9; transport AOR 2.8, 95% CI 2.1 to 3.8). CONCLUSION: Ambulance use of lights and sirens is associated with increased risk of ambulance crashes. The association is greatest during the transport phase. EMS providers should weigh these risks against any potential time savings associated with lights and sirens use.

Emergency department patient payer status after implementation of the Affordable Care Act: A nationwide analysis using NHAMCS data.

OBJECTIVE: To evaluate changes in insurance status among emergency department (ED) patients presenting in the two years immediately before and after full implementation of the Affordable Care Act (ACA). METHODS: We evaluated National Hospital Ambulatory Medical Care Survey (NHAMCS) Emergency Department public use data for 2012-2015, categorizing patients as having any insurance (private; Medicare; Medicaid; workers' compensation) or no insurance. We compared the pre- and post-ACA frequency of insurance coverage-overall and within the older (≥65), working-age (18-64) and pediatric (<18) subpopulations-using unadjusted odds ratios with 95% confidence intervals. We also conducted a difference-in-differences analysis comparing the change in insurance coverage among working-age patients with that observed for older Medicare-eligible patients, while controlling for sex, race and underlying temporal trends. RESULTS: Overall, the proportion of ED patients with any insurance did not significantly change from 2012 to 2013 to 2014-2015 (74.2% vs 77.7%) but the proportion of working-age adult patients with at least one form of insurance increased significantly, from 66.0% to 71.8% (OR 1.31, CI: 1.13-1.52). The difference-in-differences analysis confirmed the change in insurance coverage among working-age adults was greater than that seen in the reference population of Medicare-eligible adults (AOR 1.70, CI: 1.29-2.23). The increase was almost entirely attributable to increased Medicaid coverage. CONCLUSION: In the first two years following full implementation of the ACA, there was a significant increase in the proportion of working-age adult ED patients who had at least one form of health insurance. The increase appeared primarily associated with expansion of Medicaid.

Association Between Energy Prices and US Hospital Patient Outcomes.

OBJECTIVE: To evaluate associations between changing energy prices and US hospital patient outcomes. METHODS: Generalized estimating equations were used to analyze relationships between changes in energy prices and subsequent changes in hospital patient outcomes measures for the years 2008 through 2014. Patient outcomes measures included 30-day acute myocardial infarction, heart failure, and pneumonia mortality rates, and 30-day acute myocardial infarction, heart failure, and pneumonia readmission rates. Energy price data included state average distillate fuel, electricity and natural gas prices, and the US average coal price. All of the price data were converted to 2014 dollars using Consumer Price Index multipliers. RESULTS: There was a significant positive association between changes in coal price and both short-term (P = 0.029) and long-term (P = 0.017) changes in the 30-day heart failure mortality rate. There was a similar significant positive association between changes in coal price and both short-term (P <0.001) and long-term (P = 0.002) changes in the 30-day pneumonia mortality rate. Changes in coal prices also were positively associated with long-term changes in the 30-day myocardial infarction readmission rate (P < 0.001). Changes in coal prices (P = 0.20), natural gas prices (P = 0.040), and electricity prices (P = 0.040) were positively associated with long-term changes in the 30-day heart failure readmission rate. CONCLUSIONS: Changing energy prices are associated with subsequent changes in hospital mortality and readmission measures. In light of these data, we encourage hospital, health system, and health policy leaders to pursue patient-support initiatives, energy conservation programs, and reimbursement policy strategies aimed at mitigating those effects.

The risk of unintentional out-of-network encounters with hospital-based physicians at in-network hospitals.

OBJECTIVE: When hospital-based specialists including emergency physicians, anesthesiologists, pathologists and radiologists are not included in the same insurance networks as their parent hospitals, it creates confusion and leads to unexpected costs for patients. This study explored the frequency with which hospital-based physicians at academic medical centers are not included in the network directories for the same insurance networks as their parent teaching hospitals. METHODS: We studied teaching hospitals with residency programs in all four hospital-based specialties. Using insurance plan provider directories, we determined whether each teaching hospital was in-network for randomly selected locally available insurance plans offered through the federal and state marketplace exchanges. For each established hospital-network relationship, we then determined whether hospital-based specialists were included in the provider network directory by searching for the name of each specialty's residency program director and the name of the physician practice group. RESULTS: We identified 79 teaching hospitals participating in 144 locally available insurance plan networks. Hospital-based specialist inclusion in these hospital-network relationships was: emergency physicians: 50.0% (CI: 40%-59%); anesthesiologists: 50.0% (CI: 42%-58%); pathologists: 45.4% (CI: 37%-54%); and radiologists: 55.1% (46%-64%). Inclusion of all four hospital-based specialties occurred in only 45.0% (CI: 36%-54%) of the hospital-network relationships. CONCLUSION: For insurance plans offered through the federal and state marketplace exchanges, hospital-based specialists frequently are not included in the directories for the insurance networks in which their parent teaching hospitals participate. Further research is needed to explore this issue at non-academic hospitals and for off-exchange insurance products, and to determine effective policy solutions.

An assessment of the performance of the Baxter elastomeric (LV10) Infusor™ pump under hyperbaric conditions.

INTRODUCTION: There are limited data on the use of elastomeric infusion pumps during hyperbaric oxygen treatment. AIM: This study evaluated the flow rate of the Baxter elastomeric LV10 Infusor™ pump under normobaric (101.3 kPa) and three hyperbaric conditions of 203 kPa, 243 kPa and 284 kPa. METHODS: Elastomeric pumps were secured to participants in the same manner as for a typical patient, except that a container collected the delivered antibiotic solution. Pumps and tubing were weighed before and after the test period to determine volume delivered and to calculate flow rates at sea level and the three commonly used hyperbaric treatment pressures at two different time periods, 0-2 hours (h) and 19-21 h into the infusion. RESULTS: The mean flow rates in ml·h⁻¹ (SD) were: 9.5 (0.4), 10.3 (0.6), 10.4 (0.6), 10.4 (0.5) at 0-2 h and 10.5 (1.0), 12.2 (0.6), 9.4 (0.5), 10.3 (0.9) at 19-21 h for the normobaric, 203 kPa, 243 kPa and 284 kPa conditions respectively. There was no significant association between flow rate and time period (P = 0.166) but the 203 kPa flow rates were significantly faster than the other flow rates (P = 0.008). In retrospect, the 203 kPa experiments had all been conducted with the same antibiotic solution (ceftazidime 6 g). Repeating that experimental arm using flucloxacillin 8 g produced flow rates of 10.4 (0.8) ml·h⁻¹, with no significant associations between flow rate and time period (P = 0.652) or pressure (P = 0.705). CONCLUSION: In this study, the flow rate of the Baxter LV10 Infusor™ device was not significantly affected by increases in ambient pressure across the pressure range of 101.3 kPa to 284 kPa, and flow rates were generally within a clinically acceptable range of 9-12 ml·h⁻¹. However, there was evidence that the specific antibiotic solution might affect flow rates and this requires further study.

Has the rescheduling of hydrocodone changed ED prescribing practices?

OBJECTIVE: The objective was to examine the effect of hydrocodone-containing product (HCP) rescheduling on the proportion of prescriptions for HCPs given to patients discharged from the emergency department (ED). METHODS: Electronic queries of ED records were used to identify patients aged 15 years and older discharged with a pain-related prescription in the 12 months before and after HCP rescheduling. Prescriptions were classified as HCPs; other Schedule II medications (eg, oxycodone products); other Schedule III medications (eg, codeine products); and non-Schedule II/III products (eg, nonsteroidal anti-inflammatory drugs). We compared the proportions of patients receiving each type of prescription before and after rescheduling using χ2 analysis and used logistic regression to explore the relationship between prescription type and time period while controlling for age, sex, race, and ethnicity. RESULTS: Before rescheduling, 58.1% (95% confidence interval [CI], 57.4-58.7) of patients receiving a pain-related prescription received an HCP; after rescheduling, 13.2% (95% CI, 12.7-13.7) received an HCP (P < .001). Concurrently, other Schedule III prescriptions increased (pre: 11.7% [CI, 11.3-12.2] vs post: 44.9% [CI, 44.2-45.6], P < .001)), as did non-Schedule II/III prescriptions (pre: 51.8% [CI, 51.2-52.5] vs post: 59.3% [CI, 58.6-60.0], P < .001). When controlling for demographic characteristics, patients remained less likely to receive an HCP after rescheduling (adjusted odds ratio [AOR], 0.11; CI, 0.10-0.11) and more likely to receive other Schedule III (AOR, 6.1; CI, 5.8-6.5) and non-Schedule II/III (AOR, 1.4; CI, 1.3-1.4) products. CONCLUSION: Rescheduling HCPs from Schedule III to Schedule II led to a substantial decrease in HCP prescriptions in our ED and an increase in prescriptions for other Schedule III and non-Schedule II/III products.

Sustainable emergency medical service systems: how much energy do we need?

OBJECTIVE: Modern emergency medical service (EMS) systems are vulnerable to both rising energy prices and potential energy shortages. Ensuring the sustainability of EMS systems requires an empirical understanding of the total energy requirements of EMS operations. This study was undertaken to determine the life cycle energy requirements of US EMS systems. METHODS: Input-output-based energy requirement multipliers for the US economy were applied to the annual budgets for a random sample of 19 metropolitan or county-wide EMS systems. Calculated per capita energy requirements of the EMS systems were used to estimate nationwide EMS energy requirements, and the leading energy sinks of the EMS supply chain were determined. RESULTS: Total US EMS-related energy requirements are estimated at 30 to 60 petajoules (10(15) J) annually. Direct ("scope 1") energy consumption, primarily in the form of vehicle fuels but also in the form of natural gas and heating oil, accounts for 49% of all EMS-related energy requirements. The energy supply chain-including system electricity consumption ("scope 2") as well as the upstream ("scope 3") energy required to generate and distribute liquid fuels and natural gas-accounts for 18% of EMS energy requirements. Scope 3 energy consumption in the materials supply chain accounts for 33% of EMS energy requirements. Vehicle purchases, leases, maintenance, and repair are the most energy-intense components of the non-energy EMS supply chain (23%), followed by medical supplies and equipment (21%). CONCLUSION: Although less energy intense than other aspects of the US healthcare system, ground EMS systems require substantial amounts of energy each year.

A prospective analysis of independent patient risk factors for middle ear barotrauma in a multiplace hyperbaric chamber.

INTRODUCTION: Middle ear barotrauma (MEBT) is the most common complication of hyperbaric oxygen therapy (HBOT). We wished to determine whether independent risk factors could predict which patients will require tympanostomy tubes in order to continue HBOT. METHODS: Data regarding demographics, medical history and physical examination were collected prospectively over one year. Multivariate logistic regression was used to analyse the data. RESULTS: One hundred and six patients were included. The cumulative risk of MEBT over the first five treatments was 35.8% and that for needing tympanostomy tubes was 10.3%, while that for needing tubes at any time was 13.2%. Risk factors for MEBT on bivariate analysis were older age, history of ENT radiation and anticoagulant use. Risk factors for requiring tympanostomy tubes included a history of cardiovascular disease and patients being treated for an infective condition. The adjusted multivariate logistic model identified history of difficulty equalising as the only characteristic significantly associated with MEBT during the first five treatments, adjusted odds ratio (AOR) (95%CI): 11.0 (1.1 - 111.7). Being female, AOR (95%CI): 24.7 (1.8 - 339.7), and having a history of cardiovascular disease, AOR (95%CI): 20.7 (2.0 - 215.3), were significantly associated with the need for tympanostomy tubes during the first five HBOT, but there was no significant association between any other characteristics and the need for tubes at any point. CONCLUSION: Despite some significant risk factors for MEBT being identified, we were unable to predict accurately enough which patients needed tympanostomy tubes during their HBOT to recommend these being placed prophylactically in selected patients.

Developing a Canadian emergency medical services research agenda: a baseline study of stakeholder opinions.

PURPOSE: This study forms the first phase in the development of the Canadian National EMS Research Agenda. The purpose was to understand the current state of emergency medical services (EMS) research through the barriers and opportunities perceived by key stakeholders in the Canadian system and to identify the recommendations this group had for moving forward. METHODS: This qualitative study was conducted in the spring of 2011 using one-on-one semistructured telephone interviews. Purposeful sampling was used to recruit a cross section of EMS research stakeholders, representing a breadth of geographic regions and roles. Data were collected until thematic saturation was reached. A constant comparative approach was used to develop a basic coding framework and identify emerging themes. RESULTS: Twenty stakeholders were invited to participate, and saturation was reached after 13 interviews. Thematic saturation was used to ensure that the findings were grounded in the data. Four major themes were identified: 1) the need for additional research education within EMS; 2) the importance of creating an infrastructure to support pan-Canadian research collaboration; 3) addressing the complexities of involving EMS providers in research; and 4) considerations for a national research agenda. CONCLUSION: This hypothesis-generating study reveals key areas regarding EMS research in Canada and through the guidance it provides is a first step in the development of a comprehensive national research agenda. Our intention is to collate the identified themes with the results of a larger roundtable discussion and Delphi survey and, in doing so, guide development of a Canadian national EMS research agenda.

Higher energy prices are associated with diminished resources, performance and safety in Australian ambulance systems.

OBJECTIVE: To evaluate the impact of changing energy prices on Australian ambulance systems. METHODS: Generalised estimating equations were used to analyse contemporaneous and lagged relationships between changes in energy prices and ambulance system performance measures in all Australian State/Territory ambulance systems for the years 2000-2010. Measures included: expenditures per response; labour-to-total expenditure ratio; full-time equivalent employees (FTE) per 10,000 responses; average salary; median and 90th percentile response time; and injury compensation claims. Energy price data included State average diesel price, State average electricity price, and world crude oil price. RESULTS: Changes in diesel prices were inversely associated with changes in salaries, and positively associated with changes in ambulance response times; changes in oil prices were also inversely associated with changes in salaries, as well with staffing levels and expenditures per ambulance response. Changes in electricity prices were positively associated with changes in expenditures per response and changes in salaries; they were also positively associated with changes in injury compensation claims per 100 FTE. CONCLUSION: Changes in energy prices are associated with changes in Australian ambulance systems' resource, performance and safety characteristics in ways that could affect both patients and personnel. Further research is needed to explore the mechanisms of, and strategies for mitigating, these impacts. The impacts of energy prices on other aspects of the health system should also be investigated.

EMS provider determinations of necessity for transport and reimbursement for EMS response, medical care, and transport: combined resource document for the National Association of EMS Physicians position statements.

With increasing demands for emergency medical services (EMS), many EMS jurisdictions are utilizing EMS provider-initiated nontransport policies as a method to offload potentially nonemergent patients from the EMS system. EMS provider determination of medical necessity, resulting in nontransport of patients, has the potential to avert unnecessary emergency department visits. However, EMS systems that utilize these policies must have additional education for the providers, a quality improvement process, and active physician oversight. In addition, EMS provider determination of nontransport for a specific situation should be supported by evidence in the peer-reviewed literature that the practice is safe. Further, EMS systems that do not utilize these programs should not be financially penalized. Payment for EMS services should be based on the prudent layperson standard. EMS systems that do utilize nontransport policies should be appropriately reimbursed, as this represents potential cost savings to the health care system.

Preparedness for short-term isolation among Queensland residents: implications for pandemic and disaster planning.

OBJECTIVE: Short-term isolation might occur during pandemic disease or natural disasters. We sought to measure preparedness for short-term isolation in an Australian state during pandemic (H1N1) 2009. METHODS: Data were collected as part of the Queensland Social Survey (QSS) 2009. Two questions related to preparedness for 3 days of isolation were incorporated into QSS 2009. Associations between demographic variables and preparedness were analysed using χ², with P < 0.05 considered statistically significant. RESULTS: Most respondents (93.6%; confidence interval [CI] 92.2-94.9%) would have enough food to last 3 days, but only 53.6% (CI 50.9-56.4%) would have sufficient food and potable water if isolated for 3 days with an interruption in utility services. Subpopulations that were less likely to have sufficient food and potable water reserves for 3 days' isolation without utility services included single people, households with children under 18 years of age, people living in South-East Queensland or urban areas, those with higher levels of education and people employed in health or community service occupations. CONCLUSIONS: The majority of Queensland's population consider themselves to have sufficient food supplies to cope with isolation for a period of 3 days. Far fewer would have sufficient reserves if they were isolated for a similar period with an interruption in utility services. The lower level of preparedness among health and community service workers has implications for maintaining the continuity of health services.

Guidelines for field triage of injured patients. Recommendations of the National Expert Panel on Field Triage.

In the United States, injury is the leading cause of death for persons aged 1--44 years, and the approximately 800,000 emergency medical services (EMS) providers have a substantial impact on the care of injured persons and on public health. At an injury scene, EMS providers determine the severity of injury, initiate medical management, and identify the most appropriate facility to which to transport the patient through a process called "field triage." Although basic emergency services generally are consistent across hospital emergency departments (EDs), certain hospitals have additional expertise, resources, and equipment for treating severely injured patients. Such facilities, called "trauma centers," are classified from Level I (centers providing the highest level of trauma care) to Level IV (centers providing initial trauma care and transfer to a higher level of trauma care if necessary) depending on the scope of resources and services available. The risk for death of a severely injured person is 25% lower if the patient receives care at a Level I trauma center. However, not all patients require the services of a Level I trauma center; patients who are injured less severely might be served better by being transported to a closer ED capable of managing milder injuries. Transferring all injured patients to Level I trauma centers might overburden the centers, have a negative impact on patient outcomes, and decrease cost effectiveness. In 1986, the American College of Surgeons developed the Field Triage Decision Scheme (Decision Scheme), which serves as the basis for triage protocols for state and local EMS systems across the United States. The Decision Scheme is an algorithm that guides EMS providers through four decision steps (physiologic, anatomic, mechanism of injury, and special considerations) to determine the most appropriate destination facility within the local trauma care system. Since its initial publication in 1986, the Decision Scheme has been revised four times. In 2005, with support from the National Highway Traffic Safety Administration, CDC began facilitating revision of the Decision Scheme by hosting a series of meetings of the National Expert Panel on Field Triage, which includes injury-care providers, public health professionals, automotive industry representatives, and officials from federal agencies. The Panel reviewed relevant literature, presented its findings, and reached consensus on necessary revisions. The revised Decision Scheme was published in 2006. This report describes the process and rationale used by the Expert Panel to revise the Decision Scheme.

Are EMS call volume predictions based on demand pattern analysis accurate?

UNLABELLED: Most EMS systems determine the number of crews they will deploy in their communities and when those crews will be scheduled based on anticipated call volumes. Many systems use historical data to calculate their anticipated call volumes, a method of prediction known as demand pattern analysis. OBJECTIVE: To evaluate the accuracy of call volume predictions calculated using demand pattern analysis. METHODS: Seven EMS systems provided 73 consecutive weeks of hourly call volume data. The first 20 weeks of data were used to calculate three common demand pattern analysis constructs for call volume prediction: average peak demand (AP), smoothed average peak demand (SAP), and 90th percentile rank (90%R). The 21st week served as a buffer. Actual call volumes in the last 52 weeks were then compared to the predicted call volumes by using descriptive statistics. RESULTS: There were 61,152 hourly observations in the test period. All three constructs accurately predicted peaks and troughs in call volume but not exact call volume. Predictions were accurate (+/-1 call) 13% of the time using AP, 10% using SAP, and 19% using 90%R. Call volumes were overestimated 83% of the time using AP, 86% using SAP, and 74% using 90%R. When call volumes were overestimated, predictions exceeded actual call volume by a median (Interquartile range) of 4 (2-6) calls for AP, 4 (2-6) for SAP, and 3 (2-5) for 90%R. Call volumes were underestimated 4% of time using AP, 4% using SAP, and 7% using 90%R predictions. When call volumes were underestimated, call volumes exceeded predictions by a median (Interquartile range; maximum under estimation) of 1 (1-2; 18) call for AP, 1 (1-2; 18) for SAP, and 2 (1-3; 20) for 90%R. Results did not vary between systems. CONCLUSION: Generally, demand pattern analysis estimated or overestimated call volume, making it a reasonable predictor for ambulance staffing patterns. However, it did underestimate call volume between 4% and 7% of the time. Communities need to determine if these rates of over-and underestimation are acceptable given their resources and local priorities.

The National EMS Research strategic plan.

One of the eight major recommendations put forth by the National EMS Research Agenda Implementation Project in 2002 was the development of an emergency medical services (EMS) research strategic plan. Using a modified Delphi technique along with a consensus conference approach, a strategic plan for EMS research was created. The plan includes recommendations for concentrating efforts by EMS researchers, policy makers, and funding resources with the ultimate goal of improving clinical outcomes. Clinical issues targeted for additional research efforts include evaluation and treatment of patients with asthma, acute cardiac ischemia, circulatory shock, major injury, pain, acute stroke, and traumatic brain injury. The plan calls for developing, evaluating, and validating improved measurement tools and techniques. Additional research to improve the education of EMS personnel as well as system design and operation is also suggested. Implementation of the EMS research strategic plan will improve both the delivery of services and the care of individuals who access the emergency medical system.

Public safety answering point readiness for wireless E-911 in New York State.

OBJECTIVE: To determine the level of wireless enhanced 911 readiness among New York's primary public safety answering points. METHODS: This descriptive study utilized a simple, single-page survey that was distributed in August 2001, with telephone follow-up concluding in January 2002. Surveys were distributed to directors of the primary public safety answering points in each of New York's 62 counties. Information was requested regarding current readiness for providing wireless enhanced 911 service, hardware and software needs for implementing the service, and the estimated costs for obtaining the necessary hardware and software. RESULTS: Two directors did not respond and could not be contacted by telephone; three declined participation; one did not operate an answering point; and seven provided incomplete responses, resulting in usable data from 49 (79%) of the state's public safety answering points. Only 27% of the responding public safety answering points were currently wireless enhanced 911 ready. Specific needs included obtaining or upgrading computer systems (16%), computer-aided dispatch systems (53%), mapping software (71%), telephone systems (27%), and local exchange carrier trunk lines (42%). The total estimated hardware and software costs for achieving wireless enhanced 911 readiness was between 16 million and 20 million dollars. CONCLUSIONS: New York's primary public safety answering points are not currently ready to provide wireless enhanced 911 service, and the cost for achieving readiness could be as high as 20 million dollars.

The emergency medicine rotation: a unique experience for medical students.

The objective of this study was to determine if an Emergency Medicine (EM) rotation for medical students offers a unique educational opportunity, and to document those experiences. Thirty-three medical students at one teaching hospital recorded in a computer database information about their patient encounters during EM and Internal Medicine (IM) rotations. Data collected included the types of patients seen, the level of participation in patient care and decision making, and procedures performed. A total of 2740 patient encounters were recorded, 1564 EM and 1176 IM. Students on EM rotations were more likely than students on IM rotations to be involved in the initial evaluation (93.1% vs. 47.0%, respectively), diagnosis (93.5% vs. 44.7%, respectively), and decision making (93.3% vs. 43.5%, respectively); they were also more likely to perform procedures (31.7% vs. 8.5%, respectively). There were significant differences in the patient populations and disease processes encountered on the two rotations as well.