Telemedicine in the ICU: clinical outcomes, economic aspects, and trainee education

Best Practices in Telecritical Care: Expert Consensus Recommendations From the Telecritical Care Collaborative Network

OBJECTIVES

Telecritical care (TCC) refers to the delivery of critical care using telehealth technologies. Despite increasing utilization, significant practice variation exists and literature regarding efficacy remains sparse. The Telecritical Care Collaborative Network sought to provide expert, consensus-based best practice recommendations for the design and delivery of TCC.

DESIGN

We used a modified Delphi methodology. Following literature review, an oversight panel identified core domains and developed declarative statements for review by an expert voting panel. During three voting rounds, voters agreed or disagreed with statements and provided open-ended feedback, which the oversight panel used to revise statements. Statements met criteria for consensus when accepted by greater than or equal to 85% of voters.

SETTING/SUBJECTS

The oversight panel included 18 multidisciplinary members of the TCC Collaborative Network, and the voting panel included 32 invited experts in TCC, emphasizing diversity of discipline, care delivery models, and geography.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We identified ten core domains: definitions/terminology; care delivery models; staffing and coverage models; technological considerations; ergonomics and workplace safety; licensing, credentialing, and certification; trust and relationship building; quality, safety, and efficiency, research agenda; and advocacy, leading to 79 practice statements. Of 79 original statements, 67 were accepted in round 1. After revision, nine were accepted in round 2 and two in round 3 (two statements were merged). In total, 78 practice statements achieved expert consensus.

CONCLUSIONS

These expert consensus recommendations cover a broad range of topics relevant to delivery of TCC. Experts agreed that TCC is most effective when delivered by care teams with specific expertise and by programs with explicit protocols focusing on effective communication, technical reliability, and real-time availability. Interventions should be tailored to local conditions. Although further research is needed to guide future best practice statements, these results provide valuable and actionable recommendations for the delivery of high-quality TCC.

Post-intensive care syndrome: Recent advances and future directions

Post-intensive care syndrome comprises physical, cognitive, and mental impairments in patients treated in an intensive care unit (ICU). It occurs either during the ICU stay or following ICU discharge and is related to the patients' long-term prognosis. The same concept also applies to pediatric patients, and it can greatly affect the mental status of family members. In the 10 years since post-intensive care syndrome was first proposed, research has greatly expanded. Here, we summarize the recent evidence on post-intensive care syndrome regarding its pathophysiology, epidemiology, assessment, risk factors, prevention, and treatments. We highlight new topics, future directions, and strategies to overcome post-intensive care syndrome among people treated in an ICU. Clinical and basic research are still needed to elucidate the mechanistic insights and to discover therapeutic targets and new interventions for post-intensive care syndrome.

Descriptive Comparison of Two Models of Tele-Critical Care Delivery in a Large Multi-Hospital Health Care System

Introduction: The Society of Critical Care Medicine Tele-Critical Care (TCC) Committee has identified the need for rigorous comparative research of different TCC delivery models to support the development of best practices for staffing, application, and approaches to workflow. Our objective was to describe and compare outcomes between two TCC delivery models, TCC with 24/7 Bedside Intensivist (BI) compared with TCC with Private Daytime Attending Intensivist (PI) in relation to intensive care unit (ICU) and hospital mortality, ICU and hospital length of stay (LOS), cost, and complications across the spectrum of routine ICU standards of care. Methods: Observational cohort study at large health care system in 12 ICUs and included patients, ≥18, with Acute Physiology and Chronic Health Evaluation (APACHE) IVa scores and predictions (October 2016-June 2019). Results: Of the 19,519 ICU patients, 71.7% (n = 13,993) received TCC with 24/7 BI while 28.3% (n = 5,526) received TCC with PI. ICU and Hospital mortality (4.8% vs. 3.1%, p < 0.0001; 12.6% vs. 8.1%, p < 0.001); and ICU and Hospital LOS (3.2 vs. 2.4 days, p < 0.001; 9.8 vs. 7.2 days, p < 0.001) were significantly higher among 24/7 BI compared with PI. The APACHE observed/expected ratios (odds ratio [OR]; 95% confidence interval [CI]) for ICU mortality (0.62; 0.58-0.67) vs. (0.53; 0.46-0.61) and Hospital mortality (0.95; 0.57-1.48) vs. (0.77; 0.70-0.84) were significantly different for 24/7 BI compared with PI. Multivariate mixed models that adjusted for confounders demonstrated significantly greater odds of (OR; 95% CI) ICU mortality (1.58; 1.28-1.93), Hospital mortality (1.52; 1.33-1.73), complications (1.55; 1.18-2.04), ICU LOS [3.14 vs. 2.59 (1.25; 1.19-1.51)], and Hospital LOS [9.05 vs. 7.31 (1.23; 1.21-1.25)] among 24/7 BI when compared with PI. Sensitivity analyses adjusting for ICU admission within 24 h of hospital admission, receiving active ICU treatments, nighttime admission, sepsis, and highest third acute physiology score indicated significantly higher odds for 24/7 BI compared with PI. Conclusion: Our comparison demonstrated that TCC delivery model with PI provided high-quality care with significant positive effects on outcomes. This suggests that TCC delivery models have broad-ranging applicability and benefits in routine critical care, thus necessitating progressive research in this direction.

Impact of ChatGPT on Teleconsultants in Healthcare: Perceptions of Healthcare Experts in Saudi Arabia

Purpose

This study aims to investigate the impact of ChatGPT on teleconsultants in managing their operations and services.

Methods

A qualitative approach with focus groups is adopted in this study. A total of 54 participants with varying degrees of experience using AI such as ChatGPT in healthcare, including 11 physicians, 24 nurses, eight dieticians, six pharmacists, and five physiotherapists providing teleconsultations participated in this study.

Results

Twelve themes including informational support, diagnostic assistance, communication, enhancing efficiency, cost and time saving, personalizing care, multilingual support, assisting in medical research, decision-making, documentation, continuing education, and enhanced team collaboration reflecting positive impact were identified from the data analysis of seven focus groups. In addition, six themes including misdiagnosis and errors, issues in personalized care, ethical and legal issues, limited medical context/knowledge, communication challenges, and increased dependency reflecting negative impact were identified.

Conclusion

Although ChatGPT has several advantages for teleconsultants in the healthcare sector, it is associated with ethical issues.

Crossing the AI Chasm in Neurocritical Care

Despite the growing interest in possible applications of computer science and artificial intelligence (AI) in the field of neurocritical care (neuro-ICU), widespread clinical applications are still missing. In neuro-ICU, the collection and analysis in real time of large datasets can play a crucial role in advancing this medical field and improving personalized patient care. For example, AI algorithms can detect subtle changes in brain activity or vital signs, alerting clinicians to potentially life-threatening conditions and facilitating rapid intervention. Consequently, data-driven AI and predictive analytics can greatly enhance medical decision making, diagnosis, and treatment, ultimately leading to better outcomes for patients. Nevertheless, there is a significant disparity between the current capabilities of AI systems and the potential benefits and applications that could be achieved with more advanced AI technologies. This gap is usually indicated as the AI chasm. In this paper, the underlying causes of the AI chasm in neuro-ICU are analyzed, along with proposed recommendations for utilizing AI to attain a competitive edge, foster innovation, and enhance patient outcomes. To bridge the AI divide in neurocritical care, it is crucial to foster collaboration among researchers, clinicians, and policymakers, with a focus on specific use cases. Additionally, strategic investments in AI technology, education and training, and infrastructure are needed to unlock the potential of AI technology. Before implementing a technology in patient care, it is essential to conduct thorough studies and establish clinical validation in real-world environments to ensure its effectiveness and safety. Finally, the development of ethical and regulatory frameworks is mandatory to ensure the secure and efficient deployment of AI technology throughout the process.

An evaluation of the impact of the implementation of the Tele-ICU: a retrospective observational study

BACKGROUND

The telemedicine intensive care unit (Tele-ICU) is defined as a system in which intensive care professionals remotely provide care to critically ill patients and support the on-site staff in the intensive care unit (ICU) using secured audio-video and electronic links. Although the Tele-ICU is expected to resolve the shortage of intensivists and reduce the regional disparities in intensive care resources, the efficacy has not yet been evaluated in Japan because of a lack of clinically available system.

METHODS

This was a single-center, historical comparison study in which the impact of the Tele-ICU on ICU performance and changes in workload of the on-site staff were evaluated. The Tele-ICU system developed in the United States was used. Data for 893 adult ICU patients before the Tele-ICU implementation and for all adult patients registered in the Tele-ICU system from April 2018 to March 2020 were abstracted and included. We investigated ICU and hospital mortality and length of stay and ventilation duration after the Tele-ICU implementation in each ICU, and compared between pre and post implementation and changes over time. We also assessed physician workload as defined by the frequency and duration of access to the electronic medical record (EMR) of the targeted ICU patients.

RESULTS

After the Tele-ICU implementation 5438 patients were included. In unadjusted data pre/post study showed significant decreases in ICU (8.5-3.8%) and hospital (12.4-7.7%) mortality and ICU length of stay (p < 0.001), and those values were maintained for 2 years. In data stratified by predicted hospital mortality, ICU and hospital actual mortality in high and medium risk patients decreased significantly after the implementation. Ventilation duration was shortened (p < 0.007). Access frequency of the on-site physicians decreased by 25%, and the decrease occurred in the daytime shift and in the physicians with 3-15 years of work experience.

CONCLUSIONS

Our study showed the Tele-ICU implementation was associated with lower mortality, especially in medium and high risk patients, and decreased EMR-related tasks of on-site physicians. These results suggest that the Tele-ICU could be a solution of the shortage of intensivists and regional disparities for intensive care.

Telehealth Training for Surgeons to Empathetically Deliver Bad News Via Video-Mediated Communication

BACKGROUND

The COVID-19 pandemic resulted in a sudden increase in the need to effectively use telehealth in all realms of health care communication, including the delivery of bad news.

METHODS

A single arm, unblinded, feasibility study was performed at a tertiary care center located in Central Virginia to explore the value and utility of providing a telehealth training program based on SPIKES to teach surgical residents and faculty best practice for disclosing difficult news via video-mediated communication (VMC). Surgical interns (categorical and preliminary), surgical residents, and surgical faculty from General, Neuro, Pediatric, Plastics, Oncology, Urology, and Vascular surgical specialties were recruited via email to voluntarily participate in a telehealth simulation-based workshop, with 33 surgical learners participating in the training and 28 completing evaluation surveys.

RESULTS

Only six respondents (22%) indicated they had prior formal training on telehealth communication with patients or families, while 13 (46%) said they had prior experience giving bad news via telehealth. Comments about improving the training focused on providing more scenarios to practice and more time for feedback. Overall, 25 learners (86%) agreed the activity was a valuable learning experience and the majority (61%) of responses were positive for future use of telehealth for breaking bad news.

DISCUSSION

Practicing communication skills with VMC was found to be valuable by surgical interns, residents, and faculty. Formal training should be provided for surgeons at every stage of training and practice to improve skill in the delivery of bad news to patients and their families.

Telemedicine to Expand Access to Critical Care Around the World

This multiauthored communication gives a state-of-the-art global perspective on the increasing adoption of tele-critical care. Exponentially increasing sophistication in the deployment of Computers, Information, and Communication Technology has ensured extending the reach of limited intensivists virtually and reaching the unreached. Natural disasters, COVID-19 pandemic, and wars have made tele-intensive care a reality. Concerns and regulatory issues are being sorted out, cross-border cost-effective tele-critical care is steadily increasing Components to set up a tele-intensive care unit, and overcoming barriers is discussed. Importance of developing best practice guidelines and retraining is emphasized.

COVID-19 and telehealth in the intensive care unit setting: a survey

Background

Coronavirus disease (COVID-19) has led to changes in how healthcare is delivered. Here, through the administration of surveys, we evaluated telehealth use and views in US intensive care units (ICUs) during the pandemic.

Methods

From June 2020 to July 2021, voluntary, electronic surveys were provided to ICU leaders of Johns Hopkins Medical Institution (JHMI) hospitals, members of the Neurocritical Care Society (NCS) who practice in the US, and Society of Critical Care Medicine (SCCM) members practicing adult medicine.

Results

Response rates to our survey were as follows: 18 of 22 (81.8%) JHMI-based ICU leaders, 22 of 2218 (1.0%) NCS members practicing in the US, and 136 of 13,047 (1.0%) SCCM members. COVID-19 patients were among those cared for in the ICUs of 77.7, 86.4, and 93.4% of respondents, respectively, in April 2020 (defined as the peak of the pandemic). Telehealth technologies were used by 88.9, 77.3, and 75.6% of respondents, respectively, following the start of COVID-19 while only 22.2, 31.8, and 43.7% utilized them prior. The most common telehealth technologies were virtual meeting software and telephone (with no video component). Provider, nurse, and patient communications with the patient’s family constituted the most frequent types of interactions utilizing telehealth. Most common reasons for telehealth use included providing an update on a patient’s condition and conducting a goals of care discussion. 93.8–100.0% of respondents found telehealth technologies valuable in managing patients. Technical issues were noted by 66.7, 50.0, and 63.4% of respondents, respectively.

Conclusions

Telehealth use increased greatly among respondents following the start of COVID-19. In US ICUs, telehealth technologies found diverse uses during the pandemic. Future studies are needed to confirm our findings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08197-7.

E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database

Improving the Intensive Care Unit (ICU) management network and building cost-effective and well-managed healthcare systems are high priorities for healthcare units. Creating accurate and explainable mortality prediction models helps identify the most critical risk factors in the patients' survival/death status and early detect the most in-need patients. This study proposes a highly accurate and efficient machine learning model for predicting ICU mortality status upon discharge using the information available during the first 24 hours of admission. The most important features in mortality prediction are identified, and the effects of changing each feature on the prediction are studied. We used supervised machine learning models and illness severity scoring systems to benchmark the mortality prediction. We also implemented a combination of SHAP, LIME, partial dependence, and individual conditional expectation plots to explain the predictions made by the best-performing model (CatBoost). We proposed E-CatBoost, an optimized and efficient patient mortality prediction model, which can accurately predict the patients' discharge status using only ten input features. We used eICU-CRD v2.0 to train and validate the models; the dataset contains information on over 200,000 ICU admissions. The patients were divided into twelve disease groups, and models were fitted and tuned for each group. The models' predictive performance was evaluated using the area under a receiver operating curve (AUROC). The AUROC scores were 0.86 [std:0.02] to 0.92 [std:0.02] for CatBoost and 0.83 [std:0.02] to 0.91 [std:0.03] for E-CatBoost models across the defined disease groups; if measured over the entire patient population, their AUROC scores were 7 to 18 and 2 to 12 percent higher than the baseline models, respectively. Based on SHAP explanations, we found age, heart rate, respiratory rate, blood urine nitrogen, and creatinine level as the most critical cross-disease features in mortality predictions.

Outcomes Associated with ICU Telemedicine and Other Risk Factors in a Multi-Hospital Critical Care System: A Retrospective, Cohort Study for 30-Day In-Hospital Mortality

Introduction: Intensive care unit telemedicine (ICU-TM) is expanding due to increasing demands for critical care, but impact on outcomes remains controversial. This study evaluated the association of ICU-TM and other clinical factors with 30-day, in-hospital mortality. Methods: This retrospective, cohort study included 151,780 consecutive ICU patients admitted to nine hospitals in the Cleveland Clinic Health System from 2010 to 2020. Patients were identified from an institutional datamart and Acute Physiology and Chronic Health Evaluation IV (APACHE IV) registry. Primary outcome was 30-day in-hospital mortality. Analyses included multivariate logistic regression modeling, and survival analysis. Results: Overall, unadjusted 30-day, in-hospital mortality incidence was significantly different with (5.6%) or without ICU-TM (7.2%), and risk ratio was 0.78 (95% confidence interval [CI] 0.75-0.81) (p < 0.0001). Mortality rate for ICU-TM and no ICU-TM was 2.4/1,000 versus 3.2/1,000 patient days, respectively (p < 0.0001). Multivariate logistic regression showed that ICU-TM was associated with reduced 30-day mortality (odds ratio 0.78, 95% CI 0.72-0.83). Increased risk was seen with cardiac arrest admissions, males, acute stroke, weekend admission, emergency admission, race (non-white), sepsis, APACHE IV score, ICU length of stay (LOS), and the interaction term, emergency surgical admissions. Reduced risk was associated with hospital LOS, surgical admission, and the interaction terms (weekend admissions with ICU-TM and after-hour admissions with ICU-TM). The model c-statistic was 0.77. Median ICU and hospital lengths of stay were significantly reduced with ICU-TM, with no difference in 48-h mortality or 48-h mortality rate. Conclusion: ICU telemedicine exposure appears to be one of several operational and clinical factors associated with reduced 30-day, in-hospital mortality.

Telemedicine in Intensive Care Units: Scoping Review

BACKGROUND

The role of telemedicine in intensive care has been increasing steadily. Tele-intensive care unit (ICU) interventions are varied and can be used in different levels of treatment, often with direct implications for the intensive care processes. Although a substantial body of primary and secondary literature has been published on the topic, there is a need for broadening the understanding of the organizational factors influencing the effectiveness of telemedical interventions in the ICU.

OBJECTIVE

This scoping review aims to provide a map of existing evidence on tele-ICU interventions, focusing on the analysis of the implementation context and identifying areas for further technological research.

METHODS

A research protocol outlining the method has been published in JMIR Research Protocols. This review follows the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A core research team was assembled to provide feedback and discuss findings.

RESULTS

A total of 3019 results were retrieved. After screening, 25 studies were included in the final analysis. We were able to characterize the context of tele-ICU studies and identify three use cases for tele-ICU interventions. The first use case is extending coverage, which describes interventions aimed at extending the availability of intensive care capabilities. The second use case is improving compliance, which includes interventions targeted at improving patient safety, intensive care best practices, and quality of care. The third use case, facilitating transfer, describes telemedicine interventions targeted toward the management of patient transfers to or from the ICU.

CONCLUSIONS

The benefits of tele-ICU interventions have been well documented for centralized systems aimed at extending critical care capabilities in a community setting and improving care compliance in tertiary hospitals. No strong evidence has been found on the reduction of patient transfers following tele-ICU intervention.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/19695.

Novel application of telemedicine and an alternate EHR environment for virtual clinical education: A new model for primary care education during the SARS-CoV-2 pandemic

BACKGROUND

Restrictions to direct patient contact resulting from the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic left some medical students near graduation in need of a required critical care medicine (CCM) sub-internship. A group of educators deployed a virtual curriculum utilizing telemedicine and electronic health record (EHR) technologies.

METHODS

Nine students participated in a formal curriculum of high-value critical care medicine topics designed to meet the learning objectives of the in-person experience. Students obtained patient histories and directed physical examinations virtually via telemedicine. They followed assigned patients, submitted clinical documentation, and practiced electronic order entry using a non-production EHR copy. At conclusion these students completed the same evaluation used for "in-person" CCM rotations earlier in the year.

RESULTS

Students rated the virtual rotation comparably to the traditional rotation in most evaluated criteria. Lower rated areas included "perform minor procedures", "patient counseling", and "interprofessional experiences". Students' narrative responses specifically noted strengths of the "student focus" and the ability to practice in an EHR copy.

DISCUSSION

Students and preceptors generally found that the virtual curriculum provided adequate educational opportunities. Certain areas were clearly lacking, as expected. Students felt the dedication of the faculty to the students' educational needs was the most important factor contributing to the success of the program. The results suggest several ways telemedicine and EHR technologies might enhance clinical medical education in the future.

CONCLUSION

This methodology was successful in providing elements of a CCM rotation experience. This technology could prove efficacious for primary care rotations where in-person training is not feasible due to the SARS-CoV-2 pandemic.

The use of telemedicine in the PICU: A systematic review and meta-analysis

The use of telemedicine in ICUs has grown and is becoming increasingly recognized. However, its impact on PICUs remains unclear. This systematic review and meta-analysis aimed to evaluate whether telemedicine in the PICU has the potential to improve clinical and non-clinical outcomes. PubMed, Scopus, LILACS, and CINAHL electronic databases were searched to identify studies that assessed the impact of telemedicine on clinical outcomes, with no publication date restrictions. The reference lists of the selected articles were hand-searched for additional studies that had not been identified by the initial electronic search. Studies were included if they had a cohort design, used telemedicine, were conducted in PICUs or specialized PICUs, and were published in Portuguese, English, or Spanish. Two groups of reviewers independently screened titles and abstracts for inclusion. The same group of reviewers independently assessed the full-text articles for eligibility and extracted the following information: telecommunication method, intervention characteristics, patient characteristics, sample size, and main results. Studies were meta-analyzed using a random-effects model to estimate the pooled prevalence of PICU mortality and length of PICU stay. Risk of bias was assessed using the Newcastle-Ottawa Scale. Of 2703 studies initially identified, 2226 had their titles and abstracts screened. Of these, 53 were selected for full-text reading, of which 10 were included and analyzed. The main results of interest were length of PICU stay, number of deaths or mortality rate, and satisfaction of health professionals and family members. The results of meta-analysis show that the mortality rate reduced by 34% with an increase of the length of PICU stay in the PICUs with the use of telemedicine. Family members and health professionals were satisfied with the use of telemedicine. Telemedicine has the potential to improve PICU outcomes, such as mortality rate and family and staff satisfaction. However, it extended length of PICU stay in the studies included in this systematic review.

Implementation of Tele-ICU during the COVID-19 pandemic

OBJECTIVE

To describe the implementation of a Tele-ICU program during the COVID-19 pandemic, as well as to describe and analyze the results of the first four months of operation of the program.

METHODS

This was a descriptive observational study of the implementation of a Tele-ICU program, followed by a retrospective analysis of clinical data of patients with COVID-19 admitted to ICUs between April and July of 2020.

RESULTS

The Tele-ICU program was implemented over a four-week period and proved to be feasible during the pandemic. Participants were trained remotely, and the program had an evidence-based design, the objective being to standardize care for patients with COVID-19. More than 100,000 views were recorded on the free online platforms and the mobile application. During the study period, the cases of 326 patients with COVID-19 were evaluated through the program. The median age was 60 years (IQR, 49-68 years). There was a predominance of males (56%). There was also a high prevalence of hypertension (49.1%) and diabetes mellitus (38.4%). At ICU admission, 83.7% of patients were on invasive mechanical ventilation, with a median PaO2/FiO2 ratio < 150. It was possible to use lung-protective ventilation in 75% of the patients. Overall, in-hospital mortality was 68%, and ICU mortality was 65%.

CONCLUSIONS

Our Tele-ICU program provided multidisciplinary training to health care professionals and clinical follow-up for hundreds of critically ill patients. This public health care network initiative was unprecedented and proved to be feasible during the COVID-19 pandemic, encouraging the creation of similar projects that combine evidence-based practices, training, and Tele-ICU.

Electronic intensive care unit: A perspective amid the COVID-19 era - Need of the day!

The COVID-19 pandemic has awakened the need for telemedicine and teleconsultation to continue medical care while maintaining social distancing for safety against infection. The concept of the electronic intensive care unit (e-ICU) is evolving rapidly in developed nations. e-ICU in developing countries like India not only has great potential but also has many roadblocks. This article showcases the concept, advantages, and challenges of e-ICU in India, with a glimpse of the future.

Association of Unit-Level Telecritical Care Intensity of Service and Length of Stay in the Intensive Care Unit

Background: Telecritical care (TCC) has been shown to improve outcomes in the intensive care unit (ICU). A TCC was developed and implemented a nocturnal TCC across 10 ICUs in our Health System. TCC coverage patterns and level of involvement vary among ICUs. We identified an opportunity to determine the impact of TCC involvement on the ICU length of stay (LOS). Objective: The primary objective of this study was to assess if intensity of service provided by TCC impacts ICU LOS. Methods: This retrospective review was conducted for all patients admitted to covered ICUs during a 2-year period. ICUs were stratified by the coverage model provided by the TCC and the count of orders placed by the TCC served as a surrogate for intensity of service. Confounding variables were abstracted from the Acute Physiology and Chronic Health Evaluation (APACHE) databases. Spearman's rank correlation coefficient was used to measure the strength of the relationship between ICU LOS and TCC order volume. A linear regression model was used to describe the relationship between order volume and ICU LOS, while adjusting for confounding variables. Results: There is a strong negative relationship between TCC order volume and ICU LOS, as shown by the Spearman rank correlation coefficient of -0.818. The associated p-value of 0.0038 supports the strength of this relationship. Conclusion: Our results demonstrate the impact of nocturnal TCC involvement in patient care. As TCC order volume per ICU admission increases, ICU LOS decreases. We interpret this as an indication for deeper involvement between the TCC team and any on-site providers.

Developing the eMedical Student (eMS)-A Pilot Project Integrating Medical Students into the Tele-ICU during the COVID-19 Pandemic and beyond

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.

Electronic intensive care unit: A perspective amid the COVID-19 era - Need of the day!

The COVID-19 pandemic has awakened the need for telemedicine and teleconsultation to continue medical care while maintaining social distancing for safety against infection. The concept of the electronic intensive care unit (e-ICU) is evolving rapidly in developed nations. e-ICU in developing countries like India not only has great potential but also has many roadblocks. This article showcases the concept, advantages, and challenges of e-ICU in India, with a glimpse of the future.

[Interdisciplinary COVID board for patients with SARS-CoV-2-triggered hyperferritinemic Inflammation]

Hintergrund

Patienten mit schwerer COVID-19-Erkrankung entwickeln eine hyperferritinämische Inflammation, ein sepsisähnliches Immundysregulationssyndrom.

Methode

Retrospektive Kohortenanalyse nach Therapiestratifizierung in einer standortübergreifenden telemedizinischen Fallkonferenz. Frühzeitige, standardisierte Identifizierung von Patienten mit einem Risiko für einen schweren Verlauf (COVID-Inflammation-Score; CIS) und Intubationsvermeidung mit Schwerpunkt auf nichtinvasive Ventilation (NIV) sind Kernelemente des Behandlungsalgorithmus. Patienten mit lebensbedrohlicher Inflammation wurde ein individueller Heilversuch mit dem Immunmodulator Ruxolitinib angeboten.

Ergebnisse

Zwischen 04.03.2020 und 26.06.2020 wurden 196 COVID-19-Patienten behandelt. Der Altersmedian (70 Jahre) und die Komorbidität waren im Interstudienvergleich hoch. Die Gesamtmortalität lag bei 17,3 %, wobei bei der Hälfte der verstorbenen Patienten eine A‑priori-Therapielimitierung festgelegt war. Das CIS-Monitoring der mit Ruxolitinib behandelten Hochrisikopatienten (n = 20) ergab nach 5, 7 und 15 Tagen eine Inflammationssuppression um 42 % (15–70), 54 % (15–77) und 60 % (15–80). In dieser Gruppe lag die Mortalität bei 20 % (4/20). Die Gesamtmortalität adjustiert auf Patienten mit intendierter Maximaltherapie lag bei 8,7 % (17/196).

Schlussfolgerung

Die COVID-19-Pneumonie mit hyperferritinämischer Inflammation ist verwandt mit der Makrophagen-Aktivierungssyndrom-ähnlichen Sepsis. Eine interdisziplinäre Fallkonferenz als Qualitätsinstrument der Intensivmedizin zur Erfassung seltener sepsisähnlicher Krankheitsbilder wird vorgestellt.

Real-Time Learning Through Telemedicine Enhances Professional Training in Rural Emergency Departments

Background: The low volume and the intermittent nature of serious emergencies presenting to rural emergency departments (EDs) make it difficult to plan and deliver pertinent professional training. Telemedicine provides multiple avenues for training rural ED clinicians. This study examines how telemedicine contributes to professional training in rural EDs through both structured and unstructured approaches. Methods: This qualitative study examined training experiences in 18 hospitals located in 6 Midwest states in the United States, which participated in a single hub-and-spoke telemedicine network. Twenty-eight interviews were conducted with 7 physicians, 10 advanced practice providers, and 11 nurses. Standard, inductive qualitative analysis was used to identify key themes related to experiences with telemedicine-based training and its impact on rural ED practice. Results: For structured formal training, rural ED clinicians used asynchronous sessions more often than live sessions. It was reported that the formal training program may not have been fully utilized due to time and workload constraints. Rural clinicians strongly valued unstructured real-time training during telemedicine consultations. It was perceived consistently across professional groups that real-time training occurred frequently and its spontaneous nature was beneficial. Hub providers offering suggestions respectfully and explaining the rationale behind recommendations facilitated real-time learning. Rural providers and nurses perceived several effects of real-time training, including keeping rural practice up to date, instilling confidence, and improving performance. Discussion: Our research shows that telemedicine provided rural ED providers and nurses both formal training and real-time training opportunities. Real-time training occurred frequently, complemented formal training, and was perceived to have many advantages.

Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success

PURPOSE OF REVIEW

Neurocritical care combines the complexity of both medical and surgical disease states with the inherent limitations of assessing patients with neurologic injury. Artificial intelligence (AI) has garnered interest in the basic management of these complicated patients as data collection becomes increasingly automated.

RECENT FINDINGS

In this opinion article, we highlight the potential AI has in aiding the clinician in several aspects of neurocritical care, particularly in monitoring and managing intracranial pressure, seizures, hemodynamics, and ventilation. The model-based method and data-driven method are currently the two major AI methods for analyzing critical care data. Both are able to analyze the vast quantities of patient data that are accumulated in the neurocritical care unit. AI has the potential to reduce healthcare costs, minimize delays in patient management, and reduce medical errors. However, these systems are an aid to, not a replacement for, the clinician's judgment.

Expectations of telemedicine health service adoption in rural Bangladesh

This study analyzes the antecedent factors that influence patients' expectations of telemedicine adoption in centres hosted by rural public hospitals in Bangladesh. It examines five antecedents of patients' expectations of telemedicine adoption-self-efficacy, telemedicine experience, knowledge, enjoyment, and prior satisfaction. A conceptual research model was formulated, encompassing a set of hypotheses that were developed and tested by employing partial least squares structural equation modelling. Using a structured survey questionnaire, a cross-sectional survey was conducted among 500 telemedicine users in different rural areas in Bangladesh. Except knowledge, four antecedents significantly contribute to patients' expectations of telemedicine health service adoption explaining 66% of the variance (R²) in expectations. These findings provide support for explaining antecedents to the formation of patients' expectations of telemedicine adoption and the institutionalisation of favourable policy guidelines as an early guidance for the development of successful healthcare industries in Bangladesh and other similar settings. Specific policy interventions and recommendations are provided, including current research limitations leading to opportunities for future research.

Fifteen Years of Transesophageal Echocardiography in Cardiac Anesthesia in Russia

Transesophageal echocardiography was first introduced in Russia as a component of anesthesiology monitoring in 2003 following its successful implementation in the practice of cardiac anesthesia in the United States and Western Europe. This novel opportunity for perioperative hemodynamic evaluation was enthusiastically adopted at several cardiac surgical clinics despite the presence of critical barriers. The most important of these were the lack of certification programs for anesthesiologists, limited equipment, and a lack of understanding of the responsibility of the anesthesiologist as the coordinator of perioperative therapeutic decisions. Although intraoperative transesophageal echocardiography as a part of the anesthesiology protocol has been introduced in less than 10% of Russian cardiac surgery clinics, a group of interested anesthesiologists has formed over the last 15 years. Both the technical conditions and professional mentality of anesthesiologists need to be changed substantially for successful further development of intraoperative echocardiography. This review aims to highlight the milestones, successes, and challenges in the implementation of intraoperative echocardiography in the practice of cardiac anesthesiology in Russia, which may be interesting to a wide range of cardiac anesthesiologists.