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Background: A recent ICU telemedicine research consensus conference identified the need for reliable methods of measuring structural features and processes of critical care delivery in the domains of organizational context and characteristics of ICU teams, ICUs, hospitals, and of the communities supported by an ICU.Methods: The American College of Chest Physicians Critical Care Institute developed and conducted a survey of ICU telemedicine practices. A 32-item survey was delivered electronically to leaders of 311 ICUs, and 11 domains were identified using principal components analysis. Survey reliability was judged by intraclass correlation among raters, and validity was measured for items for which independent assessment was available.Results: Complete survey information was obtained for 170 of 311 ICUs sent invitations. Analysis of a subset of surveys from 45 ICUs with complete data from more than one rater indicated that the survey reliability was in the excellent to nearly perfect range. Coefficients for measures of external validation ranged from 0.63 to 1.0. Analyses of the survey revealed substantial variation in the practice of ICU telemedicine, including ICU telemedicine center staffing patterns; qualifications of providers; case sign-out, ICU staffing models, leadership, and governance; intensivist review for new patients; adherence to best practices; use of quality and safety information; and ICU physician sign out for their patients.Conclusions: The American College of Chest Physicians ICU telemedicine survey is a reliable tool for measuring variation among ICUs with regard to staffing, structure, processes of care, and ICU telemedicine practices. [ABSTRACT FROM AUTHOR]

Objectives: To compare the mean per-episode unit cost for a direct-to-consumer (DTC) telemedicine service for medical center employees (OnDemand) with that of in-person care and to estimate whether the offered service increased the use of care., Study Design: Propensity score-matched retrospective cohort study of adult employees and dependents of a large academic health system between July 7, 2017, and December 31, 2019., Methods: To estimate differences in per-episode unit costs within 7 days, we compared costs between OnDemand encounters and conventional in-person encounters (primary care, urgent care, and emergency department) for any similar condition using a generalized linear model. We used interrupted time series analyses limited to the top 10 clinical conditions managed by OnDemand to estimate the effect of OnDemand's availability on the trends for overall employee per-month encounters., Results: A total of 10,826 encounters among 7793 beneficiaries were included (mean [SD] age, 38.5 [10.9] years; 81.6% were women). The mean (SE) 7-day per-episode cost among employees and beneficiaries was lower for OnDemand encounters at $379.76 ($19.83) relative to non-OnDemand encounters at $493.49 ($25.53), a mean per-episode savings of $113.73 (95% CI, $50.36-$177.10; P < .001). After the introduction of OnDemand, among employees with encounters for the top 10 clinical conditions managed by OnDemand, the trend for encounter rates per 100 employees per month increased marginally (0.03; 95% CI, 0.00-0.05; P = .03)., Conclusions: These results suggest that DTC telemedicine staffed by an academic health system and offered directly to employees reduced the per-episode unit costs and only marginally increased utilization, suggesting lower cost overall.

Background: Our study addresses the gaps in knowledge of the characterizations of operations by remote tele-critical care medicine (tele-CCM) service providers interacting with the bedside team. The duration of engagements, the evolution of the tele-CCM service over time, and the distress during interactions with the bedside team have not been characterized systematically. These characteristics are critical for planning the deployment of teleICU services and preventing burnout among remote teleICU providers., Methods: REDCap self-reported activity logs collected engagement duration, triggers ( emergency button, tele-CCM software platform, autonomous algorithm, asymmetrical communication platform, phone ), expediency, nature ( proactive rounding, predetermined task, response to medical needs) , communication modes, and acceptance. Seven hospitals with 16 ICUs were overseen between 9/2020 and 9/2021 by teams consisting of telemedicine medical doctors (eMD), telemedicine registered nurses (eRN), and telemedicine respiratory therapists (eRT)., Results: 39,915 total engagements were registered. eMDs had a significantly higher percentage of emergent and urgent engagements (31.9%) vs. eRN (9.8%) or eRT (1.7%). The average tele-CCM intervention took 16.1 ± 10.39 min for eMD, 18.1 ± 16.23 for eRN, and 8.2 ± 4.98 min for eRT, significantly varied between engagement, and expediency, hospitals, and ICUs types. During the observation period, there was a shift in intervention triggers with an increase in autonomous algorithmic ARDS detection concomitant with predominant utilization of asynchronous communication, phone engagements, and the tele-CCM module of electronic medical records at the expense of the share of proactive rounding . eRT communicated more frequently with bedside staff (% MD = 37.8%; % RN = 36.8, % RT = 49.0%) but mostly with other eRTs. In contrast, the eMD communicated with all ICU stakeholders while the eRN communicated chiefly with other RN and house staff at the patient's bedside. The rate of distress reported by tele-CCM staff was 2% among all interactions, with the entity hospital being the dominant factor., Conclusions: Delivery of tele-CCM services has to be tailored to the specific beneficiary of tele-CCM services to optimize care delivery and minimize distress. In addition, the duration of the average intervention must be considered while creating an efficient workflow., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Laudanski, Huffenberger, Scott, Williams, Wain, Jablonski and Hanson.)

Incorporating the advanced practice provider (APP) in the delivery of tele critical care medicine (teleCCM) addresses the critical care provider shortage. However, the current literature lacks details of potential workflows, deployment difficulties and implementation outcomes while suggesting that expanding teleCCM service may be difficult. Here, we demonstrate the implementation of a telemedicine APP (eAPP) pilot service within an existing teleCCM program with the objective of determining the feasibility and ease of deployment. The goal is to augment an existing tele-ICU system with a balanced APP service to assess the feasibility and potential impact on the ICU performance in several hospitals affiliated within a large academic center. A REDCap survey was used to assess eAPP workflows, expediency of interventions, duration of tasks, and types of assignments within different service locations. Between 02/01/2021 and 08/31/2021, 204 interventions (across 133 12-h shift) were recorded by eAPP (n routine  = 109 (53.4%); n urgent  = 82 (40.2%); n emergent  = 13 (6.4%). The average task duration was 10.9 ± 6.22 min, but there was a significant difference based on the expediency of the task (F [2; 202] = 3.89; p < 0.022) and type of tasks (F [7; 220] = 6.69; p < 0.001). Furthermore, the eAPP task type and expediency varied depending upon the unit engaged and timeframe since implementation. The eAPP interventions were effectively communicated with bedside staff with only 0.5% of suggestions rejected. Only in 2% cases did the eAPP report distress. In summary, the eAPP can be rapidly deployed in existing teleCCM settings, providing adaptable and valuable care that addresses the specific needs of different ICUs while simultaneously enhancing the delivery of ICU care. Further studies are needed to quantify the input more robustly., (© 2022. The Author(s).)

Both provider- and protocol-driven electrolyte replacement have been linked to the over-prescription of ubiquitous electrolytes. Here, we describe the development and retrospective validation of a data-driven clinical decision support tool that uses reinforcement learning (RL) algorithms to recommend patient-tailored electrolyte replacement policies for ICU patients. We used electronic health records (EHR) data that originated from two institutions (UPHS; MIMIC-IV). The tool uses a set of patient characteristics, such as their physiological and pharmacological state, a pre-defined set of possible repletion actions, and a set of clinical goals to present clinicians with a recommendation for the route and dose of an electrolyte. RL-driven electrolyte repletion substantially reduces the frequency of magnesium and potassium replacements (up to 60%), adjusts the timing of interventions in all three electrolytes considered (potassium, magnesium, and phosphate), and shifts them towards orally administered repletion over intravenous replacement. This shift in recommended treatment limits risk of the potentially harmful effects of over-repletion and implies monetary savings. Overall, the RL-driven electrolyte repletion recommendations reduce excess electrolyte replacements and improve the safety, precision, efficacy, and cost of each electrolyte repletion event, while showing robust performance across patient cohorts and hospital systems.

A 24/7 telemedicine respiratory therapist (eRT) service was set up as part of the established University of Pennsylvania teleICU (PENN E-LERT ® ) service during the COVID-19 pandemic, serving five hospitals and 320 critical care beds to deliver effective remote care in lieu of a unit-based RT. The eRT interventions were components of an evidence-based care bundle and included ventilator liberation protocols, low tidal volume protocols, tube patency, and an extubation checklist. In addition, the proactive rounding of patients, including ventilator checks, was included. A standardized data collection sheet was used to facilitate the review of medical records, direct audio-visual inspection, or direct interactions with staff. In May 2020, a total of 1548 interventions took place, 93.86% of which were coded as "routine" based on established workflows, 4.71% as "urgent", 0.26% "emergent", and 1.17% were missing descriptors. Based on the number of coded interventions, we tracked the number of COVID-19 patients in the system. The average intervention took 6.1 ± 3.79 min. In 16% of all the interactions, no communication with the bedside team took place. The eRT connected with the in-house respiratory therapist (RT) in 66.6% of all the interventions, followed by house staff (9.8%), advanced practice providers (APP; 2.8%), and RN (2.6%). Most of the interaction took place over the telephone (88%), secure text message (16%), or audio-video telemedicine ICU platform (1.7%). A total of 5115 minutes were spent on tasks that a bedside clinician would have otherwise executed, reducing their exposure to COVID-19. The eRT service was instrumental in several emergent and urgent critical interventions. This study shows that an eRT service can support the bedside RT providers, effectively monitor best practice bundles, and carry out patient-ventilator assessments. It was effective in certain emergent situations and reduced the exposure of RTs to COVID-19. We plan to continue the service as part of an integrated RT service and hope to provide a framework for developing similar services in other facilities.

The Covid-19 pandemic required rapid scale of telemedicine as well as other digital workflows to maintain access to care while reducing infection risk. Both patients and clinicians who hadn't used telemedicine before were suddenly faced with a multi-step setup process to log into a virtual meeting. Unlike in-person examination rooms, locking a virtual meeting room was more error-prone and posed a risk of multiple patients joining the same online session. There was administrative burden on the practice staff who were generating and manually sending links to patients, and educating patients on device set up was time-consuming and unsustainable. A solution had to be deployed rapidly system-wide, without the usual roll out across months. Our answer was to design and implement a novel EHR-integrated web application called the Switchboard, in just two weeks. The Switchboard leverages a commercial, cloud-based video meeting platform and facilitates an end-to-end virtual care encounter workflow, from pre-visit reminders to post-visit SMS text message-based measurement of patient experience, with tools to extend contact-less workflows to in-person appointments. Over the first 11 months of the pandemic, the in-house platform has been adopted across 6 hospitals and >200 practices, scaled to 8,800 clinicians who at their peak conducted an average of 30,000 telemedicine appointments/week, and enabled over 10,000-20,000 text messages/day to be exchanged through the platform. Furthermore, it enabled our organization to convert from an average of 75% of telehealth visits being conducted via telephone to 75% conducted via video within weeks., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: The coronavirus disease 2019 (COVID-19) pandemic continues to surge in the United States and globally., Objective: To describe the epidemiology of COVID-19-related critical illness, including trends in outcomes and care delivery., Design: Single-health system, multihospital retrospective cohort study., Setting: 5 hospitals within the University of Pennsylvania Health System., Patients: Adults with COVID-19-related critical illness who were admitted to an intensive care unit (ICU) with acute respiratory failure or shock during the initial surge of the pandemic., Measurements: The primary exposure for outcomes and care delivery trend analyses was longitudinal time during the pandemic. The primary outcome was all-cause 28-day in-hospital mortality. Secondary outcomes were all-cause death at any time, receipt of mechanical ventilation (MV), and readmissions., Results: Among 468 patients with COVID-19-related critical illness, 319 (68.2%) were treated with MV and 121 (25.9%) with vasopressors. Outcomes were notable for an all-cause 28-day in-hospital mortality rate of 29.9%, a median ICU stay of 8 days (interquartile range [IQR], 3 to 17 days), a median hospital stay of 13 days (IQR, 7 to 25 days), and an all-cause 30-day readmission rate (among nonhospice survivors) of 10.8%. Mortality decreased over time, from 43.5% (95% CI, 31.3% to 53.8%) to 19.2% (CI, 11.6% to 26.7%) between the first and last 15-day periods in the core adjusted model, whereas patient acuity and other factors did not change., Limitations: Single-health system study; use of, or highly dynamic trends in, other clinical interventions were not evaluated, nor were complications., Conclusion: Among patients with COVID-19-related critical illness admitted to ICUs of a learning health system in the United States, mortality seemed to decrease over time despite stable patient characteristics. Further studies are necessary to confirm this result and to investigate causal mechanisms., Primary Funding Source: Agency for Healthcare Research and Quality.

Biosensors represent one of the numerous promising technologies envisioned to extend healthcare delivery. In perioperative care, the healthcare delivery system can use biosensors to remotely supervise patients who would otherwise be admitted to a hospital. This novel technology has gained a foothold in healthcare with significant acceleration due to the COVID-19 pandemic. However, few studies have attempted to narrate, or systematically analyze, the process of their implementation. We performed an observational study of biosensor implementation. The data accuracy provided by the commercially available biosensors was compared to those offered by standard clinical monitoring on patients admitted to the intensive care unit/perioperative unit. Surveys were also conducted to examine the acceptance of technology by patients and medical staff. We demonstrated a significant difference in vital signs between sensors and standard monitoring which was very dependent on the measured variables. Sensors seemed to integrate into the workflow relatively quickly, with almost no reported problems. The acceptance of the biosensors was high by patients and slightly less by nurses directly involved in the patients' care. The staff forecast a broad implementation of biosensors in approximately three to five years, yet are eager to learn more about them. Reliability considerations proved particularly troublesome in our implementation trial. Careful evaluation of sensor readiness is most likely necessary prior to system-wide implementation by each hospital to assess for data accuracy and acceptance by the staff.

1: Most large employers self-insure their employee health benefits, creating a motivation for employers to improve health care's value. 2: Employers who are also health care providers can aim for value through the direct provision of clinical services, not just through wellness programs or the design of insurance products. 3: Innovation and design methods can be systematically applied to health care problems to guide decisions about solutions which should or should not be scaled. 4: A virtual, on-demand urgent care service provided by a health care provider organization to its employees has the potential to reduce unnecessary emergency department visits and decrease the total cost of care., (Copyright © 2021 Elsevier Inc. All rights reserved.)

The COVID-19 pandemic has accelerated the demand for virtual healthcare delivery and highlighted the scarcity of telehealth medical student curricula, particularly tele-critical care. In partnership with the Penn E-lert program and the Department of Anesthesiology and Critical Care, the Perelman School of Medicine (PSOM) established a tele-ICU rotation to support the care of patients diagnosed with COVID-19 in the Intensive Care Unit (ICU). The four-week course had seven elements: (1) 60 h of clinical engagement; (2) multiple-choice pretest; (3) faculty-supervised, student-led case and topic presentations; (4) faculty-led debriefing sessions; (5) evidence-based-medicine discussion forum; (6) multiple-choice post-test; and (7) final reflection. Five third- and fourth-year medical students completed 300 h of supervised clinical engagement, following 16 patients over three weeks and documenting 70 clinical interventions. Knowledge of critical care and telehealth was demonstrated through improvement between pre-test and post-test scores. Professional development was demonstrated through post-course preceptor and learner feedback. This tele-ICU rotation allowed students to gain telemedicine exposure and participate in the care of COVID patients in a safe environment.

Background: The coronavirus disease 2019 (COVID-19) pandemic challenges hospital leaders to make time-sensitive, critical decisions about clinical operations and resource allocations., Objective: To estimate the timing of surges in clinical demand and the best- and worst-case scenarios of local COVID-19-induced strain on hospital capacity, and thus inform clinical operations and staffing demands and identify when hospital capacity would be saturated., Design: Monte Carlo simulation instantiation of a susceptible, infected, removed (SIR) model with a 1-day cycle., Setting: 3 hospitals in an academic health system., Patients: All people living in the greater Philadelphia region., Measurements: The COVID-19 Hospital Impact Model (CHIME) (http://penn-chime.phl.io) SIR model was used to estimate the time from 23 March 2020 until hospital capacity would probably be exceeded, and the intensity of the surge, including for intensive care unit (ICU) beds and ventilators., Results: Using patients with COVID-19 alone, CHIME estimated that it would be 31 to 53 days before demand exceeds existing hospital capacity. In best- and worst-case scenarios of surges in the number of patients with COVID-19, the needed total capacity for hospital beds would reach 3131 to 12 650 across the 3 hospitals, including 338 to 1608 ICU beds and 118 to 599 ventilators., Limitations: Model parameters were taken directly or derived from published data across heterogeneous populations and practice environments and from the health system's historical data. CHIME does not incorporate more transition states to model infection severity, social networks to model transmission dynamics, or geographic information to account for spatial patterns of human interaction., Conclusion: Publicly available and designed for hospital operations leaders, this modeling tool can inform preparations for capacity strain during the early days of a pandemic., Primary Funding Source: University of Pennsylvania Health System and the Palliative and Advanced Illness Research Center.

Objectives: Develop and implement a machine learning algorithm to predict severe sepsis and septic shock and evaluate the impact on clinical practice and patient outcomes., Design: Retrospective cohort for algorithm derivation and validation, pre-post impact evaluation., Setting: Tertiary teaching hospital system in Philadelphia, PA., Patients: All non-ICU admissions; algorithm derivation July 2011 to June 2014 (n = 162,212); algorithm validation October to December 2015 (n = 10,448); silent versus alert comparison January 2016 to February 2017 (silent n = 22,280; alert n = 32,184)., Interventions: A random-forest classifier, derived and validated using electronic health record data, was deployed both silently and later with an alert to notify clinical teams of sepsis prediction., Measurement and Main Result: Patients identified for training the algorithm were required to have International Classification of Diseases, 9th Edition codes for severe sepsis or septic shock and a positive blood culture during their hospital encounter with either a lactate greater than 2.2 mmol/L or a systolic blood pressure less than 90 mm Hg. The algorithm demonstrated a sensitivity of 26% and specificity of 98%, with a positive predictive value of 29% and positive likelihood ratio of 13. The alert resulted in a small statistically significant increase in lactate testing and IV fluid administration. There was no significant difference in mortality, discharge disposition, or transfer to ICU, although there was a reduction in time-to-ICU transfer., Conclusions: Our machine learning algorithm can predict, with low sensitivity but high specificity, the impending occurrence of severe sepsis and septic shock. Algorithm-generated predictive alerts modestly impacted clinical measures. Next steps include describing clinical perception of this tool and optimizing algorithm design and delivery.

Objectives: This study explored what smartphone health applications (apps) are used by patients, how they learn about health apps, and how information about health apps is shared., Methods: Patients seeking care in an academic ED were surveyed about the following regarding their health apps: use, knowledge, sharing, and desired app features. Demographics and health information were characterized by summary statistics., Results: Of 300 participants, 212 (71%) owned smartphones, 201 (95%) had apps, and 94 (44%) had health apps. The most frequently downloaded health apps categories were exercise 46 (49%), brain teasers 30 (32%), and diet 23 (24%). The frequency of use of apps varied as six (6%) of health apps were downloaded but never used, 37 (39%) apps were used only a few times, and 40 (43%) health apps were used once per month. Only five apps (2%) were suggested to participants by health care providers, and many participants used health apps intermittently (55% of apps ≤ once a month). Participants indicated sharing information from 64 (59%) health apps, mostly within social networks (27 apps, 29%) and less often with health care providers (16 apps, 17%)., Conclusions: While mobile health has experienced tremendous growth over the past few years, use of health apps among our sample was low. The most commonly used apps were those that had broad functionality, while the most frequently used health apps encompassed the topics of exercise, diet, and brain teasers. While participants most often shared information about health apps within their social networks, information was less frequently shared with providers, and physician recommendation played a small role in influencing patient use of health apps., (© 2015 by the Society for Academic Emergency Medicine.)

Objectives: Voluntary patient uptake and use of electronic health record (EHR) features have been low. It is unknown whether EHRs fully meet needs of providers or patients with chronic diseases., Study Design: To explore in-depth user experiences, we conducted 6 focus groups: 3 of patients followed by 3 of providers discussing 2 key EHR components: the after-visit summary (AVS) and the patient portal (PP). Focus groups were audio-recorded, transcribed, and analyzed by 3 independent coders., Methods: Participants with moderate-to-severe asthma and prevalent comorbidities were recruited from 4 primary care and 2 asthma clinics serving low-income urban neighborhoods. Participants discussed their expectations and experience using the AVS and PP, and responded to prototype formats of these features. Additionally, one-on-one interviews were conducted with 10 patients without PP experience to assess their ability to use the system., Results: The 21 patient and 13 provider perspectives differed regarding AVS features and use. Patients wanted a unified view of their medical issues and health management tools, while providers wanted to focus on recommendations from 1 visit at a time. Both groups advocated improving the AVS format and content. Lack of awareness and knowledge about the PP was patients' largest barrier, and was traced back to providers' lack of PP training., Conclusions: Our results underscore the importance of user-centered design when constructing the content and features of the EHR. As technology evolves, an ongoing understanding of patient and provider experiences will be critical to improve uptake, increase use, and ensure engagement, optimizing the potential of EHRs.

Background: On Tuesday, January 12, 2010 at 16:53 local time, a magnitude 7.0 M(w) earthquake struck Haiti. The global humanitarian attempt to respond was swift, but poor infrastructure and emergency preparedness limited many efforts. Rapid, successful deployment of emergency medical care teams was accomplished by organizations with experience in mass disaster casualty response. Well-intentioned, but unprepared, medical teams also responded. In this report, we describe the preparation and planning process used at an academic university department of anesthesiology with no preexisting international disaster response program, after a call from an American-based nongovernmental organization operating in Haiti requested medical support. The focus of this article is the pre-deployment readiness process, and is not a post-deployment report describing the medical care provided in Haiti., Methods: A real-time qualitative assessment and systematic review of the Hospital of the University of Pennsylvania's communications and actions relevant to the Haiti earthquake were performed. Team meetings, conference calls, and electronic mail communication pertaining to planning, decision support, equipment procurement, and actions and steps up to the day of deployment were reviewed and abstracted. Timing of key events was compiled and a response timeline for this process was developed. Interviews with returning anesthesiology members were conducted., Results: Four days after the Haiti earthquake, Partners in Health, a nonprofit, nongovernmental organization based in Boston, Massachusetts, with >20 years of experience providing medical care in Haiti contacted the University of Pennsylvania Health System to request medical team support. The departments of anesthesiology, surgery, orthopedics, and nursing responded to this request with a volunteer selection process, vaccination program, and systematic development of equipment lists. World Health Organization and Centers for Disease Control guidelines, the American Society of Anesthesiology Committee on Trauma and Emergency Preparedness, published articles, and in-country contacts were used to guide the preparatory process., Conclusion: An organized strategic response to medical needs after an international natural disaster emergency can be accomplished safely and effectively within 6 to 12 days by an academic anesthesiology department, with medical system support, in a center with no previously established response system. The value and timeliness of this response will be determined with further study. Institutions with limited experience in putting an emergency medical team into the field may be able to quickly do so when such efforts are executed in a systematic manner in coordination with a health care organization that already has support infrastructure at the site of the disaster.

This prospective study examined whether the integration of acute care nurse practitioners (ACNP) in a "semiclosed" surgical intensive care unit (SICU) model increased compliance with clinical practice guidelines (CPG). Patients were admitted to critical care services with a (a) "semiclosed"/ACNP team or (b) "mandatory consultation"/non-ACNP team. CPG compliance was significantly higher (P < .05) on the "semiclosed"/ACNP team for all 3 CPGs examined in the study.

Background: The authors performed a prospective study to determine whether breath test analysis using an electronic nose correlates with a clinical pneumonia score., Methods: Exhaled gas was sampled from the expiratory limb of the ventilator in mechanically ventilated surgical intensive care patients and assayed with the electronic nose. Components of a clinical pneumonia score were recorded concurrently., Results: The score predicted by the electronic nose showed good correlation with the actual pneumonia score (r = 0.81). Bland Altman analysis showed a mean bias of 0.0 (limits +/- 2.6)., Conclusions: The electronic nose is a new biosensor technology that correlates with a clinical pneumonia score.

Our aim was to describe the technique and results of using inhaled prostacyclin (iPGI(2)) to enable the safe interhospital helicopter transport of a patient with ARDS complicated by life-threatening hypoxemia. The case describes a 32-year-old women with ARDS complicated by life-threatening hypoxemia who was referred to our ARDS referral center for further management. Multiple attempts to place the patient on the transport ventilator failed because of severe hypoxemia. After the administration of iPGI(2), oxygen saturation improved significantly, enabling the transport to occur safely by medevac helicopter. iPGI(2) is a valuable adjunct for the medical transport team to enable the safe transport of critically ill patients with severe hypoxemia. The simple, lightweight, and portable delivery system makes it ideal for use during all forms of aeromedical transport.

Unlabelled: The purpose of this study was to determine if rates of telemetry events differ between patients whose monitoring is appropriately "indicated" versus "not indicated" by systematically applying rigorous criteria for appropriateness of electrocardiogram (ECG) telemetry usage. We performed a retrospective cohort study on 1097 telemetry admissions between January 1, 2000 and March 31, 2000. A convenience sample of 218 patients generated 236 telemetry admissions. One-hundred-sixty-two arrhythmic events were detected during 400 "indicated" telemetry days. Nine arrhythmic events were detected during 345 "not indicated" telemetry days. The relative rate for arrhythmic events was significantly different, at P < 0.0001, with the incidence rate ratio of 15 indicating a very large effect size. Consequently, current use of ECG telemetry may not be optimal, and a prospective analysis of the application of rigorous indications for ECG telemetry needs to be undertaken., Implications: The application of standard criteria to electrocardiogram telemetry admissions found that the majority of abnormal heart rhythms were found when patients met appropriate criteria.

Objective: To review the history and current applications of artificial intelligence in the intensive care unit., Data Sources: The MEDLINE database, bibliographies of selected articles, and current texts on the subject., Study Selection: The studies that were selected for review used artificial intelligence tools for a variety of intensive care applications, including direct patient care and retrospective database analysis., Data Extraction: All literature relevant to the topic was reviewed., Data Synthesis: Although some of the earliest artificial intelligence (AI) applications were medically oriented, AI has not been widely accepted in medicine. Despite this, patient demographic, clinical, and billing data are increasingly available in an electronic format and therefore susceptible to analysis by intelligent software. Individual AI tools are specifically suited to different tasks, such as waveform analysis or device control., Conclusions: The intensive care environment is particularly suited to the implementation of AI tools because of the wealth of available data and the inherent opportunities for increased efficiency in inpatient care. A variety of new AI tools have become available in recent years that can function as intelligent assistants to clinicians, constantly monitoring electronic data streams for important trends, or adjusting the settings of bedside devices. The integration of these tools into the intensive care unit can be expected to reduce costs and improve patient outcomes.

The cardiothoracic surgery intensive care unit (CTICU) has evolved as a separate entity from the general surgical intensive care unit as management for cardiac surgery patients has become streamlined and algorithm driven. Critical care is best managed when the service is designed for a homogeneous population with a circumscribed set of medical and surgical issues. The repetition involved with the subspecialty care allows health care providers such as primary care nurses, nurse practitioners, physician assistants, and other ancillary services to become appropriately focused on issues pertinent to this population. The goals of the CTICU include the attainment of rapid and safe recovery from surgery and anesthesia despite decreasing resources, increasing patient age and comorbidity, and increasing complexity of the operative procedure. The coordinated and systematic approach to the postoperative cardiac surgery patient under the direction of a staff physician offers the most effective opportunity to achieve these expectations at this time. The traditional model of staffing by a physician with responsibilities that conflict temporally with the immediacy often needed for the postoperative care of cardiac patients may expose patients to unnecessary risks. A responsible physician should be available in the CTICU, especially during the immediate postoperative period when physical assessment and direct hands-on involvement are essential. In an era when the operative team (ie, cardiac surgeon and cardiac anesthesiologist) must return to the surgical suite soon after the patient arrives in the intensive care unit, the presence of a physician dedicated to postoperative medical and surgical management becomes mandatory. According to the Joint Commission on Accreditation of Healthcare Organizations, "Each special care unit is properly directed and staffed according to the nature of the special patient care needs anticipated and scope of services provided." The assignment of staff is designed to match experience with patient acuity., (Copyright 2000 by W.B. Saunders Company)

This article reviews the use of inhalational, intravenous, and epidural agents used in the operating room and ICU. An emphasis is placed on the rationale for their selection. Additionally, the side effects and expected complications are discussed. By developing expertise with one's own repertoire of sedatives, narcotics, and neuromuscular blocking agents, one may decrease postoperative complications and lengths of stay.

Background: Physiologic monitors present an influx of numerical data that can be overwhelming to the clinician. We combined several parameters in an effort to reduce the amount of information that must be continuously monitored including oxyhemoglobin saturation by pulse oximetry, end-tidal CO2 concentration, arterial blood pressure, and heart rate into an integrated measure--the health stability magnitude (HSM). The HSM is computed for a predetermined basal period, the reference HSM (RHSM), and recalculated continuously for comparison with the baseline value. In this study we present the HSM concept and examine changes in the HSM during abdominal aortic aneurysm surgery., Materials and Methods: After IRB approval, nine patients were studied. The anesthesiologist recorded all significant intra-operative events. Within a defined time interval, data were recorded and used to calculate a combined parameter, the HSM. The baseline or reference value of this index (RHSM) was calculated after the induction of anesthesia. Individual HSM values were repeatedly calculated for ten second periods after the RHSM value was established. A > 30% deviation of the HSM from the RHSM was considered significant. Deviations in the HSM were compared with events recorded by the anesthesiologist on a paper record and with the record from an electronic record-keeping system. The deviation observed between two consecutive HSMs, called dHSM, was plotted against HSM to construct a contour diagram of data from all patients to which individual cases could be compared., Results: The plot showed that dHSM vs. HSM values were tightly clustered. The inner contour on the distribution plot contained 90% of values. Individual patient's time course, projected on this diagram, revealed deviations form "normal" physiology. Fifty-nine events led to > 30% deviations in the HSM; 27 were anticipated events and 32 were unanticipated., Conclusion: The correlation between HSM and dHSM depicts changes in multiple monitored parameters that can be viewed using a single graphical representation. Projection of individual cases on the contour diagram may help the clinician to distinguish relative intraoperative stability from important events. Data reduction in this manner may guide clinical decision-making in response to unanticipated or unrecognized events.

Objective: This study tested the hypothesis that nitric oxide or nitric oxide and eptifibatide (Integrilin) reversibly inhibit platelet activation and consumption during cardiopulmonary bypass and rapidly restore platelet numbers and function after bypass., Methods: Nitric oxide, a short-acting, reversible platelet inhibitor, was studied with and without eptifibatide, a short-acting, reversible glycoprotein IIb/IIIa inhibitor, in 21 baboons that underwent 60 minutes of normothermic cardiopulmonary bypass with peripheral cannulas. A control group, a group that received 80 ppm nitric oxide, and a group that received both nitric oxide and eptifibatide were studied. Blood samples were obtained at several time points to determine platelet count, aggregation in response to adenosine diphosphate, and levels of beta-thromboglobulin, prothrombin fragment 1.2, and thrombin-antithrombin complex. Template bleeding times were measured before and at 4 intervals after cardiopulmonary bypass., Results: Both nitric oxide and the combination of the 2 drugs significantly attenuated platelet consumption, improved postbypass function, and reduced plasma beta-thromboglobulin release with respect to values in control animals. Both nitric oxide and the combination restored baseline bleeding times 55 minutes after cardiopulmonary bypass ended. No significant differences between nitric oxide and the combination were found for any measurement., Conclusion: Nitric oxide with or without eptifibatide protects platelets during cardiopulmonary bypass and accelerates restoration of normal bleeding times after operation in a baboon model. Although nitric oxide and eptifibatide reversibly inhibit platelets by different mechanisms, in the absence of a wound no synergistic effect was demonstrated.

Objective: To determine whether the presence of an on-site, organized, supervised critical service improves care and decreases resource utilization., Design: The study compared two patient cohorts admitted to a surgical intensive care unit during the same period of time. The study cohort was cared for by an on-site critical care team supervised by an intensivist. The control cohort was cared for by a team with patient care responsibilities in multiple sites supervised by a general surgeon. The main outcome measures were duration of stay, resource utilization, and complication rate., Setting: Study patients were general surgical patients in an academic medical center., Results: Despite having higher Acute Physiology and Chronic Health Evaluation II scores, patients cared for by the critical care service spent less time in the surgical intensive care unit, used fewer resources, had fewer complications and had lower total hospital charges. The difference between the two cohorts was most evident in patients with the worst APACHE II score., Conclusions: Critical care interventions are expensive and have a narrow safety margin. It is essential to develop structured and validated approaches to study the delivery of this resource. In this study, the critical care service model performed favorably both in terms of quality and cost.

Objective: To validate a new system of continuous cardiac output monitoring., Design: Multicenter, prospective, nonrandomized clinical study., Setting: Four university hospitals., Patients: Forty-seven adult intensive care unit patients., Interventions: Pulmonary artery catheterization., Measurements and Main Results: Continuous and bolus cardiac output measurements were obtained over 72 hrs. The 327 continuous cardiac output measurements compared favorably with bolus cardiac output measurements (bias = 0.12 L/min, precision = +/-0.84). The continuous cardiac measurement was not adversely affected by temperatures of <37 degrees C or >38 degrees C, high (>7.5 L/min) or low (<4.5 L/min) cardiac output values, or duration (72 hrs) of the study., Conclusions: This continuous cardiac output system provides a reliable estimate of cardiac output for clinical use if applied in conditions similar to this study. The combination of a continuous measure of cardiac output with other continuous physiologic monitoring (arterial and mixed venous oxygen saturation, oxygen consumption, etc.) may provide important information that no single parameter could achieve.

Objective: To determine whether introducing a new laboratory test, ionized magnesium (iMg++), would affect outcome, where outcome was defined as the rate of arrhythmias in a population of postoperative cardiopulmonary bypass (CPB) patients., Design: A prospective randomized trial., Setting: Cardiothoracic surgical intensive care unit of a university hospital., Patients: One hundred fifty consecutive post-CPB patients with randomized to two groups, one of which received routine reporting of iMg++ levels on all postoperative electrolyte requests while the other had access to total magnesium (tMg++) levels on demand and no access to iMg++ levels. Groups were compared for rate of arrhythmias, total amount of magnesium repleted, and demographics., Measurements and Main Results: Eighty-five patients were randomized to the tMg++ group and 65 to the iMg++ group. The two groups did not differ in the rate of arrhythmias (chi-square test): 13/85 (15%) of the tMg++ patients and 12/65 (18%) of the iMg++ patients developed an arrhythmia. The groups also did not differ in the amount of magnesium sulfate (MgSO4) administered (2 tailed t-test): tMg++ patients received 1.5 +/- 0.15 (SEM) gm of MgSO4, whereas iMg++ patients received 1.3 +/- 0.15 gm., Conclusion: The study does not support the hypothesis that magnesium repletion titrated to iMg++ reduces arrhythmia development in post-CPB patients. The lack of a difference in the amount of magnesium replacement between the two groups suggests that tMg++ level is a reasonable indicator of iMg++ level. Routine measurement of iMg++ does not, therefore, appear to have advantages over tMg++ in the postoperative management of CPB patients.

Acute or adult respiratory distress syndrome (ARDS) contributes to mortality and morbidity in the intensive care environment. Appropriate application of microprocessor-controlled mechanical ventilatory support, pathophysiology of the disease, and new pharmacologic modalities are currently being investigated. Mechanical ventilation is usually begun when respiratory failure is caused by alveolar hypoventilation or hypoxia. Primary choices for this therapy are control-mode ventilation, assist-control ventilation, pressure-control ventilation, intermittent mandatory ventilation, and synchronized intermittent mandatory ventilation with the addition of positive end-expiratory pressure. Patients who deteriorate despite these interventions may require alternative modes of ventilation. Pharmacologic agents in ARDS is important due to the multifactorial pathophysiologic and pharmacodynamic processes that are part of the disease. Clinical studies will continue to determine advantageous agents. Unfortunately, no convincing data exist that any pharmacologic or nonpharmacologic strategy is superior for the support of these patients or results in a better outcome than others.

Metabolic acidosis is a pathophysiologic state that is associated with serious morbidities and mortality. The diagnosis of metabolic acidosis is perplexing for novice and expert advanced practice nurses for many reasons. Its differential diagnosis is broad and includes common and rare, complex disease. The diagnosis of metabolic acidosis is also difficult because it is frequently associated with mixed, acid-base disorders. Its clinical manifestations are often nonspecific or subclinical, which means that its diagnosis is made from laboratory and other diagnostic tests. Timely diagnosis of metabolic acidosis is needed to institute appropriate therapy to avoid negative physiologic effects.

Background: Inhaled nitric oxide (NO), a selective vasodilator, improves oxygenation in many patients with adult respiratory distress syndrome (ARDS). Vasoconstrictors may also improve oxygenation, possibly by enhancing hypoxic pulmonary vasoconstriction. This study compared the effects of phenylephrine, NO, and their combination in patients with ARDS., Methods: Twelve patients with ARDS (PaO2/FIO2 180; Murray score 2) were studied. Each patient received three treatments in random order: intravenous phenylephrine, 50-200 micrograms/min, titrated to a 20% increase in mean arterial blood pressure; inhaled NO, 40 ppm; and the combination (phenylephrine+NO). Hemodynamics and blood gas measurements were made during each treatment and at pre- and posttreatment baselines., Results: All three treatments improved PaO2 overall. Six patients were "phenylephrine-responders" (delta PaO2 > 10 mmHg), and six were "phenylephrine-nonresponders." In phenylephrine-responders, the effect of phenylephrine was comparable with that of NO (PaO2 from 105 +/- 14 to 132 +/- 14 mmHg with phenylephrine, and from 110 +/- 14 to 143 +/- 19 mmHg with NO), and the effect of phenylephrine+NO was greater than that of either treatment alone (PaO2 from 123 +/- 13 to 178 +/- 23 mmHg). In phenylephrine-nonresponders, phenylephrine did not affect PaO2, and the effect of phenylephrine+NO was not statistically different from that of NO alone (PaO2 from 82 +/- 12 to 138 +/- 28 mmHg with NO; from 84 +/- 12 to 127 +/- 23 mmHg with phenylephrine+NO). Data are mean +/- SEM., Conclusions: Phenylephrine alone can improve PaO2 in patients with ARDS. In phenylephrine-responsive patients, phenylephrine augments the improvement in PaO2 seen with inhaled NO. These results may reflect selective enhancement of hypoxic pulmonary vasoconstriction by phenylephrine, which complements selective vasodilation by NO.

Objectives: To compare data derived from a computer model of the pulmonary circulation with data from a case series of patients with chronic obstructive pulmonary disease (COPD). To evaluate the specific factors contributing to CO2 retention due to oxygen therapy in patients with acute exacerbations of COPD., Design: Data from a computer model of the pulmonary circulation were compared with a previous case series., Patients: Patient data were derived from previous case series., Interventions: Simulated application of oxygen therapy., Measurements and Main Results: The computer model of the pulmonary circulation generates data comparable with those data from a series of patients with COPD treated with supplemental oxygen and permits identification of the causes for hypercarbia. Therapy with supplemental oxygen alters hypoxic pulmonary vasoconstriction and modulates the Haldane effect, resulting in changes in physiologic deadspace., Conclusion: Changes in physiologic deadspace are sufficient to account for the hypercarbia developed by patients with acute exacerbations of COPD when treated with supplemental oxygen.

The purpose of this study was to determine the extent to which localized hypothermia of a monitored extremity alters the assessment of recovery from vecuronium-induced neuromuscular blockade. Bilateral integrated evoked electromyographic (IEMG) responses were measured in the ulner distribution of 14 anaesthetized patients who had differing upper extremity temperatures as measured at the adductor pollicis to determine whether localized hypothermia alters the clinical assessment of spontaneous recovery from vecuronium-induced neuromuscular blockade. All patients received general anaesthesia with thiopentone, N2O/O2 and opioid; 11/14 patients received isoflurane for blood pressure control. Bilateral adductor pollicis, oesophageal and ambient temperatures, and IEMG evoked response (t1) expressed as percent unparalyzed control were recorded during the anaesthetic. The difference in evoked response between the warmer and the colder upper extremity was calculated at 25%, 50% and 75% spontaneous recovery from neuromuscular blockade in the warm extremity. Differences in temperature between extremities ranged from 0.2-11 degrees C. The difference in IEMG-evoked response between extremities was proportional to the difference in temperature, and there was a direct correlation (r = 0.78) between IEMG response and extremity temperature; IEMG response was absent when extremity temperature was less than 25 degrees C. We concluded that localized hypothermia in the monitored extremity decreases the IEMG-evoked response to vecuronium neuromuscular blockade; the greater the temperature decrease, the less the evoked response.(ABSTRACT TRUNCATED AT 250 WORDS)

In critically ill patients, organ function, blood flow, and caregiving personnel change constantly. The risks inherent in paralyzing a patient, such as those of positioning (nerve injuries, stasis injuries) and ventilator disconnection are compounded by the duration of paralysis in the ICU. When used with attention to the pharmacologic properties, patient organ function, and cost, however, muscle relaxants are a useful adjunct to ICU management.