Economics of a health system's direct-to-consumer telemedicine for its employees.

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.

Operation analysis of the tele-critical care service demonstrates value delivery, service adaptation over time, and distress among tele-providers.

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.

Pilot of rapid implementation of the advanced practice provider in the workflow of an existing tele-critical care program.

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 (nroutine = 109 (53.4%); nurgent = 82 (40.2%); nemergent = 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.

An accelerated hospital observation pathway to reduce length of stay for patients with COVID-19.

OBJECTIVES: Strategies to maintain hospital capacity during the COVID-19 pandemic included reducing hospital length of stay (LOS) for infected patients. We sought to evaluate the association between LOS and enrollment in the COVID Accelerated Care Pathway, which consisted of a hospital observation protocol and postdischarge automated text message-based monitoring. STUDY DESIGN: Retrospective matched cohort study of patients hospitalized from December 14, 2020, to January 31, 2021. METHODS: Participants were patients who presented to the emergency department with acute infection due to COVID-19, required hospitalization, and met pathway inclusion criteria. Participants were compared with a propensity score-matched cohort of patients with COVID-19 admitted to the same hospital during the 7 weeks preceding and following pathway implementation. RESULTS: There were 44 patients in the intervention group and 83 patients in the propensity score-matched cohort. The mean (SD) hospital LOS for patients in the intervention group was 1.7 (2.6) days compared with 3.9 (2.3) days for patients in the matched cohort (difference, -2.2 days; 95% CI, -3.3 to -1.1). In the intervention group, 2 patients (5%; 95% CI, 0%-15%) were rehospitalized within 14 days compared with 8 (10%; 95% CI, 4%-17%) in the matched cohort. CONCLUSIONS: Patients with COVID-19 who were managed through an accelerated hospital observation protocol and postdischarge monitoring service had reduced hospital LOS compared with patients receiving standard care. Hospital preparedness for future public health emergencies may involve the design of pathways that reduce the time that patients spend in the hospital, lower cost, and ensure continued recovery upon discharge.

The Rapid Implementation of Ad Hoc Tele-Critical Care Respiratory Therapy (eRT) Service in the Wake of the COVID-19 Surge.

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.

Comparative Effectiveness of an Automated Text Messaging Service for Monitoring COVID-19 at Home.

BACKGROUND: Although most patients with SARS-CoV-2 infection can be safely managed at home, the need for hospitalization can arise suddenly. OBJECTIVE: To determine whether enrollment in an automated remote monitoring service for community-dwelling adults with COVID-19 at home ("COVID Watch") was associated with improved mortality. DESIGN: Retrospective cohort analysis. SETTING: Mid-Atlantic academic health system in the United States. PARTICIPANTS: Outpatients who tested positive for SARS-CoV-2 between 23 March and 30 November 2020. INTERVENTION: The COVID Watch service consists of twice-daily, automated text message check-ins with an option to report worsening symptoms at any time. All escalations were managed 24 hours a day, 7 days a week by dedicated telemedicine clinicians. MEASUREMENTS: Thirty- and 60-day outcomes of patients enrolled in COVID Watch were compared with those of patients who were eligible to enroll but received usual care. The primary outcome was death at 30 days. Secondary outcomes included emergency department (ED) visits and hospitalizations. Treatment effects were estimated with propensity score-weighted risk adjustment models. RESULTS: A total of 3488 patients enrolled in COVID Watch and 4377 usual care control participants were compared with propensity score weighted models. At 30 days, COVID Watch patients had an odds ratio for death of 0.32 (95% CI, 0.12 to 0.72), with 1.8 fewer deaths per 1000 patients (CI, 0.5 to 3.1) (P = 0.005); at 60 days, the difference was 2.5 fewer deaths per 1000 patients (CI, 0.9 to 4.0) (P = 0.002). Patients in COVID Watch had more telemedicine encounters, ED visits, and hospitalizations and presented to the ED sooner (mean, 1.9 days sooner [CI, 0.9 to 2.9 days]; all P < 0.001). LIMITATION: Observational study with the potential for unobserved confounding. CONCLUSION: Enrollment of outpatients with COVID-19 in an automated remote monitoring service was associated with reduced mortality, potentially explained by more frequent telemedicine encounters and more frequent and earlier presentation to the ED. PRIMARY FUNDING SOURCE: Patient-Centered Outcomes Research Institute.

Leveraging Telemedicine for Quality Improvement Video Review of Critical ICU Events: A Novel Multidisciplinary Form of Education.

The objectives of this study were to codify the events triggering bedside recording and to report the types of performance issues identified that were then used to inform dedicated ICU quality improvement efforts. DESIGN: This is a retrospective descriptive analysis of a video review program conducted at a single institution from July 2016 to November 2019. SETTING: Surgical and Trauma ICU at a single urban academic quaternary care center. PATIENTS: All patients admitted to the surgical and trauma ICU between July 2016 and November 2019 were eligible for the study as all ICU beds in our health system institutions are equipped with closed circuit video/audio monitoring. Through an institutional review board approved program, any event triggering the immediate bedside presence of a provider in the ICU is routinely recorded at the discretion of the care team or tele-intensivist. INTERVENTIONS: A database of these events was created over a 3-year period, and cases were reviewed for content, quality improvement, and educational opportunities. Select recordings were analyzed and shared at multidisciplinary/multiprofessional video review sessions. MEASUREMENTS AND MAIN RESULTS: There were 286 critical events video recorded and reviewed in the ICUs between July 2016 and November 2019. The most commonly recorded events included: cardiopulmonary arrests (n = 75), intubations (n = 71), and acute clinical decompensation triggered by nonreassuring vital signs (n = 57) or arrhythmias (n = 13). Of these recordings, 59 were shared at video review conferences, where quality of care was assessed and thematic opportunities for improvement were characterized. Recurrent quality improvement themes that were identified included adherence to protocols, the importance of teamwork and closed-loop communication, clearly designated team leadership, and the use of universal precautions. CONCLUSIONS: Video review in the ICU is feasible and presents valuable opportunities for quality improvement and educational discussions.

Remote Monitoring of Critically-Ill Post-Surgical Patients: Lessons from a Biosensor Implementation Trial.

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.

Communication and role clarity inform TeleICU use: a qualitative analysis of opportunities and barriers in an established program using AACN framework.

BACKGROUND: Understanding the use of tele-intensive care unit (ICU) services is an essential component in evaluating current practice and informing future use as the adoption and application of teleICU services expands. We sought to explore if novel ways to utilize teleICU services can emerge within an established, consulting-style teleICU model considering the program's flexible, provider-driven operation. METHODS: This was a qualitative study of one teleICU/hospital dyad using semi-structured interviews from a convenience sample of ICU (n = 19) and teleICU (n = 13) nurses. Interviews were analyzed using directed content analysis to identify themes that describe their experiences with teleICU using a deductive codebook developed from an expert consensus (American Association of Critical Care Nurses) AACN statement on teleICU nursing. RESULTS: Three themes were identified through the qualitative content analysis: [1] nurses described unique teleICU knowledge, including systems thinking and technological skills, [2] the teleICU partnership supported quality improvement initiatives, and [3] elements of the work environment influenced perceptions of teleICU and its use. When elements of the work environment, such as effective communication and role clarity, were not present, teleICU use was variable. CONCLUSIONS: Flexible, provider-driven approaches for integrating teleICU services into daily practice may help define the future use of the teleICU model's applicability. Future work should focus on the importance of effective communication and role clarity in integrating the emerging teleICU services into teleICU/ICU practice.

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.

Using design and innovation principles to reduce avoidable emergency department visits among employees of a large academic medical center.

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.

The Impact of Delayed Symptomatic Treatment Implementation in the Intensive Care Unit.

We estimated the harm related to medication delivery delays across 12,474 medication administration instances in an intensive care unit using retrospective data in a large urban academic medical center between 2012 and 2015. We leveraged an instrumental variables (IV) approach that addresses unobserved confounds in this setting. We focused on nurse shift changes as disruptors of timely medication (vasodilators, antipyretics, and bronchodilators) delivery to estimate the impact of delay. The average delay around a nurse shift change was 60.8 min (p < 0.001) for antipyretics, 39.5 min (p < 0.001) for bronchodilators, and 57.1 min (p < 0.001) for vasodilators. This delay can increase the odds of developing a fever by 32.94%, tachypnea by 79.5%, and hypertension by 134%, respectively. Compared to estimates generated by a naïve regression approach, our IV estimates tend to be higher, suggesting the existence of a bias from providers prioritizing more critical patients.

Reflections on a Health System's Telemedicine Marathon.

The coronavirus disease 2019 (COVID-19) public health emergency necessitated changes in health care delivery that will have lasting implications. The University of Pennsylvania Health System is a large multihospital system with an academic medical center at its core. To continue to care for patients with and without COVID-19, the system had to rapidly deploy telemedicine. We describe the challenges faced with the existing telemedicine infrastructures, the central mechanisms created to facilitate the necessary conversions, and the workflow changes instituted to support both inpatient and outpatient activities for thousands of providers, many of whom had little or no experience with telemedicine. We also discuss innovations that occurred as a result of this transition and the future of telemedicine at our institution.

Clinical Impact of an Electronic Dashboard and Alert System for Sedation Minimization and Ventilator Liberation: A Before-After Study.

Sedation minimization and ventilator liberation protocols improve outcomes but are challenging to implement. We sought to demonstrate proof-of-concept and impact of an electronic application promoting sedation minimization and ventilator liberation. DESIGN: Multi-ICU proof-of-concept study and a single ICU before-after study. SETTING: University hospital ICUs. PATIENTS: Adult patients receiving mechanical ventilation. INTERVENTIONS: An automated application consisting of 1) a web-based dashboard with real-time data on spontaneous breathing trial readiness, sedation depth, sedative infusions, and nudges to wean sedation and ventilatory support and 2) text-message alerts once patients met criteria for a spontaneous breathing trial and spontaneous awakening trial. Pre-intervention, sedation minimization, and ventilator liberation were reviewed daily during a multidisciplinary huddle. Post-intervention, the dashboard was used during the multidisciplinary huddle, throughout the day by respiratory therapists, and text alerts were sent to bedside providers. MEASUREMENTS AND MAIN RESULTS: We enrolled 115 subjects in the proof-of-concept study. Spontaneous breathing trial alerts were accurate (98.3%), usually sent while patients were receiving mandatory ventilation (88.5%), and 61.9% of patients received concurrent spontaneous awakening trial alerts. We enrolled 457 subjects in the before-after study, 221 pre-intervention and 236 post-intervention. After implementation, patients were 28% more likely to be extubated (hazard ratio, 1.28; 95% CI, 1.01-1.63; p = 0.042) and 31% more likely to be discharged from the ICU (hazard ratio, 1.31; 95% CI, 1.03-1.67; p = 0.027) at any time point. After implementation, the median duration of mechanical ventilation was 2.20 days (95% CI, 0.09-4.31 d; p = 0.042) shorter and the median ICU length of stay was 2.65 days (95% CI, 0.13-5.16 d; p = 0.040) shorter, compared with the expected durations without the application. CONCLUSIONS: Implementation of an electronic dashboard and alert system promoting sedation minimization and ventilator liberation was associated with reductions in the duration of mechanical ventilation and ICU length of stay.

Leveraging Telemedicine Infrastructure to Monitor Quality of Operating Room to Intensive Care Unit Handoffs.

PURPOSE: To analyze in-room video recordings of operating room (OR) to intensive care unit (ICU) handoffs to determine tempo and quality of team interactions on nights and weekends compared with weekdays, and to demonstrate how existing telemedicine technology can be used to evaluate handoffs. METHOD: This prospective observational study of OR-to-ICU bedside handoffs was conducted in the surgical ICU of the Hospital of the University of Pennsylvania in July 2014-January 2015. Handoff video recordings were obtained for quality improvement purposes using existing telemedicine cameras. Evaluators used adapted validated in-person assessment measures to analyze basic characteristics and quality measures (timing, report types, report duration, presence of physical exam, teamwork skills, engagement, report delivery skills, listening skills, interruptions, unprofessional comments or actions). RESULTS: Sixteen weekday and 16 night and weekend handoffs were compared. There were no significant differences in basic characteristics. Most quality measures were similar on weekdays compared with nights and weekends. Surgeons demonstrated better report delivery skills and engagement on nights and weekends (P = .002 and P = .04, respectively), whereas OR anesthesiologists' scores were similar during both time frames. CONCLUSIONS: This study presents a novel approach of assessing handoff quality in OR-to-ICU handoffs using an existing telemedicine infrastructure. Using this approach, quality measures of night and weekend handoffs were found to be no worse-and sometimes better-than those during weekdays. Video analysis may emerge as an ideal unobtrusive quality improvement methodology to monitor handoffs and improve education and compliance with institutional handoff policies.

Using Telehealth to Reduce All-Cause 30-Day Hospital Readmissions among Heart Failure Patients Receiving Skilled Home Health Services.

BACKGROUND: The reduction of all-cause hospital readmission among heart failure (HF) patients is a national priority. Telehealth is one strategy employed to impact this sought-after patient outcome. Prior research indicates varied results on all-cause hospital readmission highlighting the need to understand telehealth processes and optimal strategies in improving patient outcomes. OBJECTIVES: The purpose of this paper is to describe how one Medicare-certified home health agency launched and maintains a telehealth program intended to reduce all-cause 30-day hospital readmissions among HF patients receiving skilled home health and report its impact on patient outcomes. METHODS: Using the Transitional Care Model as a guide, the telehealth program employs a 4G wireless tablet-based system that collects patient vital signs (weight, heart rate, blood pressure and blood oxygenation) via wireless peripherals, and is preloaded with subjective questions related to HF and symptoms and instructional videos. RESULTS: Year one all-cause 30-day readmission rate was 19.3%. Fiscal year 2015 ended with an all-cause 30-day readmission rate of 5.2%, a reduction by 14 percentage points (a 73% relative reduction) in three years. Telehealth is now an integral part of the University of Pennsylvania Health System's readmission reduction program. CONCLUSIONS: Telehealth was associated with a reduction in all-cause 30-day readmission for one mid-sized Medicare-certified home health agency. A description of the program is presented as well as lessons learned that have significantly contributed to this program's success. Future expansion of the program is planned. Telehealth is a promising approach to caring for a chronically ill population while improving a patient's ability for self-care.