One Hospital-Five Doors: A Model for Critical Access Hospital Sustainability.

BACKGROUND: We wanted to assess whether a regional approach to bed management and staffing could improve financial sustainability without reducing services in rural communities. METHODS: Regional approaches to patient placement, hospital throughput, and staffing were coupled with enhanced services at 1 hub hospital and 4 critical access hospitals. RESULTS: We improved the use of patient beds in the 4 critical access hospitals, increased hub hospital capacity, and improved the health system's financial performance while maintaining or enhancing services at the critical access hospitals. DISCUSSION: Sustainability of critical access hospitals can be attained without a decrease in services for rural patients and communities. One way to achieve this result is to invest in and enhance care at the rural site.

Collaborative Rooming: An Innovative Pilot Project to Overcome Primary Care Challenges.

BACKGROUND: Primary care physicians are overburdened with growing complexities and increasing expectations for primary care visits. To meet expectations, primary care physicians must multitask during visits and spend extra hours in the office for charting, billing, and documentation. This impacts the physician's quality of life and may affect the quality of patient care. Many of the administrative tasks performed by physicians could, alternatively, be performed by nonphysician staff, leading to the adoption of team-based collaborative models. METHODS: Mayo Clinic Health System piloted a team-based collaborative model in a small physician practice in Osseo, Wisconsin, where which staff could be trained quickly and efficiently. The model used medical assistants/licensed practical nurses (MA/LPN) to partner with primary care physicians during a patient visit. The LPN/MA, under physician supervision, ordered and monitored pending orders/labs, coordinated patient care, provided after-visit educational needs, and communicated other urgent messages to team members. RESULTS: After 6 months, a comparison of pre- and posttrial data showed improved staff and patient satisfaction, decreased physician administrative work, and no cost-effectiveness improvement. Screening of medical conditions in the elderly improved, but no change was noted with chronic disease metrics. CONCLUSIONS: Data showed improved staff and patient satisfaction, decreased physician clerical burden, increased appointment slots, mixed clinical outcomes, and did not demonstrate cost-effectiveness. The authors recommend that similar models be conducted in large settings to see if these results are reproducible.

Activating the Hospital Incident Command System Response in a Community Specialty Practice: The Mayo Clinic Experience.

INTRODUCTION: The COVID-19 pandemic presented health care organizations with a unique challenge in determining effective management of a large-scale incident across an extended time period. CASE PRESENTATION: This report describes the response of a multisite integrated system to the COVID-19 pandemic through activation of the Hospital Incident Command System. DISCUSSION: A robust emergency response plan with multidisciplinary involvement can help to ensure clear lines of accountability and expedite decision-making. Consistent physician input across affected specialties allows for a robust understanding of impacted areas, peer-to-peer communication, and a sense of ownership across the medical staff. The necessity of effective communication with staff and patients during times of crisis cannot be understated. The potential for information overload in a pandemic is significant but can be overcome through consistent and transparent communication from leadership. CONCLUSION: Health systems should have a well-organized emergency response system prepared to launch in small-scale or large-scale situations. The threshold to implement the response system and accountability to make that decision must be a clearly defined organizational policy.

Regional Specialty Surgical Practice Efficiencies Gained as a Result of COVID-19.

OBJECTIVE: To identify opportunities for discontinuing elective and nonemergency surgical cases in a regional surgical practice in response to coronavirus disease 2019 (COVID-19). PATIENTS AND METHODS: COVID-19 began to affect surgical practices across the United States in March 2020. On March 17, 2020, all elective and nonemergency surgical care was deferred to prepare the Mayo Clinic Health System sites in northwestern Wisconsin for an anticipated surge in patients with COVID-19. When the decision was made to reactivate the surgical practice, several major structural and operational changes were made to the regional surgical practice to optimize efficiencies. RESULTS: The structural and operational changes implemented during reactivation resulted in improved utilization of surgical resources including improvement in operating room (OR) block utilization, increased available OR time, and increased case volumes. CONCLUSION: Surgical and procedural leaders should consider a limited-time deferral of elective surgical cases to implement widespread OR efficiency strategies. The time selected for deferral of surgical cases should target a period of historically low surgical volume to minimize disruption to patient care and impact on overall OR functions.

Study of EHR-mediated workflows using ethnography and process mining methods.

Rapid ethnography and data mining approaches have been used individually to study clinical workflows, but have seldom been used together to overcome the limitations inherent in either type of method. For rapid ethnography, how reliable are the findings drawn from small samples? For data mining, how accurate are the discoveries drawn from automatic analysis of big data, when compared with observable data? This paper explores the combined use of rapid ethnography and process mining, aka ethno-mining, to study and compare metrics of a typical clinical documentation task, vital signs charting. The task was performed with different electronic health records (EHRs) used in three different hospital sites. The individual methods revealed substantial discrepancies in task duration between sites. Specifically, means of 159.6(78.55), 38.2(34.9), and 431.3(283.04) seconds were captured with rapid ethnography. When process mining was used, means of 518.6(3,808), 345.5(660.6), and 119.74(210.3) seconds were found. When ethno-mining was applied instead, outliers could be identified, explained and removed. Without outliers, mean task duration was similar between sites (78.1(66.7), 72.5(78.5), and 71.7(75) seconds). Results from this work suggest that integrating rapid ethnography and data mining into a single process may provide more meaningful results than a siloed approach when studying of workflow.

The Development of a Daily Comprehensive and Multidisciplinary Health Care Leadership Huddle.

INTRODUCTION: Consistent and concise communication in a large health care organization that is geographically dispersed is a challenge. Issues often are not addressed with the appropriate individuals in the most timely and effective manner, which results in patient flow disruptions, service gaps, and provider and administrator frustration. CASE PRESENTATION: This report describes the development of a daily leadership huddle with regional leadership and middle management to inform of daily operations, safety, quality, and service concerns, in order to allow for quicker action and issue resolution. DISCUSSION: Huddles have proven effective in organizations of similar size, but few organizations have attempted a multisite daily huddle. CONCLUSION: To ensure their success, key steps must be taken during the formation of daily leadership huddles, including buy-in from leaders and stakeholders at multiple levels. In our organization, the huddles have proven to be a forum for effective communication, quicker issue resolution, and an increased sense of camaraderie.

A micro-analytic approach to understanding electronic health record navigation paths.

Clinician task performance is significantly impacted by the navigational efficiency of the system interface. Here we propose and evaluate a navigational complexity framework useful for examining differences in electronic health record (EHR) interface systems and their impact on task performance. The methodological approach includes 1) expert-based methods-specifically, representational analysis (focused on interface elements), keystroke level modeling (KLM), and cognitive walkthrough; and 2) quantitative analysis of interactive behaviors based on video-captured observations. Medication administration record (MAR) tasks completed by nurses during preoperative (PreOp) patient assessment were studied across three Mayo Clinic regional campuses and three different EHR systems. By analyzing the steps executed within the interfaces involved to complete the MAR tasks, we characterized complexities in EHR navigation. These complexities were reflected in time spent on task, click counts, and screen transitions, and were found to potentially influence nurses' performance. Two of the EHR systems, employing a single screen format, required less time to complete (mean 101.5, range 106-97 s), respectively, compared to one system employing multiple screens (176 s, 73% increase). These complexities surfaced through trade-offs in cognitive processes that could potentially influence nurses' performance. Factors such as perceptual-motor activity, visual search, and memory load impacted navigational complexity. An implication of this work is that small tractable changes in interface design can substantially improve EHR navigation, overall usability, and workflow.

A Task-Analytic Framework Comparing Preoperative Electronic Health Record-Mediated Nursing Workflow in Different Settings.

Preoperative care is a critical, yet complex, time-sensitive process. Optimization of workflow is challenging for many reasons, including a lack of standard workflow analysis methods. We sought to comprehensively characterize electronic health record-mediated preoperative nursing workflow. We employed a structured methodological framework to investigate and explain variations in the workflow. Video recording software captured 10 preoperative cases at Arizona and Florida regional referral centers. We compared the distribution of work for electronic health record tasks and off-screen tasks through quantitative analysis. Suboptimal patterns and reasons for variation were explored through qualitative analysis. Although both settings used the same electronic health record system, electronic health record tasks and off-screen tasks time distribution and patterns were notably different across two sites. Arizona nurses spent a longer time completing preoperative assessment. Electronic health record tasks occupied a higher proportion of time in Arizona, while off-screen tasks occupied a higher proportion in Florida. The contextual analysis helped to identify the variation associated with the documentation workload, preparation of the patient, and regional differences. These findings should seed hypotheses for future optimization efforts and research supporting standardization and harmonization of workflow across settings, post-electronic health record conversion.

EHR Conversion on the PreOp Care: A Pre-Post Workflow Comparison.

The impact of EHRs conversion on clinicians' daily work is crucial to evaluate the success of the intervention for Hospitals and to yield valuable insights into quality improvement. To assess the impact of different EHR systems on the preoperative nursing workflow, we used a structured framework combining quantitative time and motion study and qualitative cognitive analysis to characterize, visualize and explain the differences before and after an EHR conversion. The results showed that the EHR conversion brought a significant decrease in the patient case time and a reduced percentage of time using EHR. PreOp nurses spent a higher proportion of time caring for the patient, while the important tasks were completed in a more continuous pattern after the EHR conversion. The workflow variance was due to different nurse's cognitive process and the task time change was reduced because of some new interface features in the new EHR systems.

Mayo Clinic Registry of Operational Tasks (ROOT): A Paradigm Shift in Electronic Health Reco Implementation Evaluation.

OBJECTIVE: To systematically examine clinical workflows before and after a major electronic health record (EHR) implementation, we performed this study. EHR implementation and/or conversion are associated with many challenges, which are barriers to optimal care. Clinical workflows may be significantly affected by EHR implementations and conversions, resulting in provider frustration and reduced efficiency. PATIENTS AND METHODS: Our institution completed a large EHR conversion and workflow standardization converting from 3 EHRs (GE Centricity and 2 versions of Cerner) to a system-wide Epic platform. To study this quantitatively and qualitatively, we collected and curated clinical workflows through rapid ethnography, workflow observation, video ethnography, and log-file analyses of hundreds of providers, patients, and more than 100,000 log files. The study included 5 geographic sites in 4 states (Arizona, Minnesota, Florida, and Wisconsin). This project began in April 2016, and will be completed by December 2019. Our study began on May 1, 2016, and is ongoing. RESULTS: Salient themes include the importance of prioritizing clinical areas with the most intensive EHR use, the value of tools to identify bottlenecks in workflow that cause delays, and desire for additional training to optimize navigation. Video microanalyses identified marked differences in patterns of workflow and EHR navigation patterns across sites. Log-file analyses and social network analyses identified differences in personnel roles, which led to differences in patient-clinician interaction, time spent using the EHR, and paper-based artifacts. CONCLUSION: Assessing and curating workflow data before and after EHR conversion may provide opportunities for unexpected efficiencies in workflow optimization and information-system redesign. This project may be a model for capturing significant new knowledge in using EHRs to improve patient care, workflow efficiency, and outcomes.

A Time-Driven Activity-Based Costing Analysis of Emergency Department Scribes.

OBJECTIVE: To apply time-driven activity-based costing (TDABC) methodology to determine emergency medicine physician documentation costs with and without scribes. METHODS: This was a prospective observation cohort study in a large academic emergency department. Two research assistants with experience in physician-scribe interactions and ED workflow shadowed attending physicians for a total of 64 hours in the adult emergency department. A tablet-based time recorded was used to obtain estimates for physician documentation time on both control (no scribe) and intervention (scribe) shifts. RESULTS: Control shifts yielded approximately 3 hours of documentation time per 8 hours of clinical time (2 hours during the shift, 1 hour following the shift). When paired with a scribe, attending physician documentation decreased to 1 hour and 45 minutes during a shift and 15 minutes of postshift documentation. The physician cost estimate for documentation without and with a scribe is 644 and 488 dollars, respectively. CONCLUSIONS: When one looks at the time saved by the provider, scribes appear to be a financially sound decision. TDABC methodology demonstrated that scribes afford a cost-effective solution to ED clinical documentation and serves as a tool to develop an accurate costing system, based on actual resources and processes, and allowed for understanding of resource use at a more granular level.

Time-driven activity-based cost analysis for outpatient anticoagulation therapy: direct costs in a primary care setting with optimal performance.

OBJECTIVES: To determine how overall cost of anticoagulation therapy for warfarin compares with that of Novel Oral Anticoagulants (NOACs). Also, to demonstrate a scientific, comprehensive, and an analytical approach to estimate direct costs involved in monitoring and management of anticoagulation therapy for outpatients in an academic primary care clinic setting, post-initiation of therapy. METHODS: A population-based cross-sectional study was conducted in conjunction with observations of patient care processes between August 2014 and January 2015. The study was conducted in an academic primary care outpatient setting at Mayo Clinic's warfarin anticoagulation clinic, Rochester, MN. The anticoagulation clinic serves patients 18 years of age or older in Warfarin therapy management, for any indication, after referral from the patient's primary care provider. The study included anticoagulation clinic enrollment data on a population of 5,526 patients. Time-Driven Activity-Based Costing (TDABC) technique was applied. Detailed process flow maps which showed process steps for all the anticoagulation program components and care continuum phases were created. Staff roles associated with each of the process steps were identified and displayed on the maps. Process times and costs were captured and analyzed. The main outcome was direct cost of monitoring and management of anticoagulation therapy, post-initiation of therapy. RESULTS: The cost of warfarin management for patients who display unstable International Normalized Ratio (INR) is more than three times those who display stable INR over time. (Comparator to distinguish stability: Frequency of point-of-care visits needed by patients.) For complex anticoagulation patients, total cost of medication and monitoring for warfarin anticoagulation therapy is similar to that for NOACs. CONCLUSION: Despite warfarin being significantly less expensive to purchase than NOACs, overall warfarin management incurs higher costs due to laboratory monitoring and provider time than NOACs. NOAC treatment, therefore, may not be more expensive than warfarin therapy management for complex anticoagulation patients.

Process Mining and Ethnography Study of Medication Reconciliation Tasks.

We studied the medication reconciliation (MedRec) task through analysis of computer logs and ethnographic data. Time spent by healthcare providers performing MedRec was compared between two different EHR systems used at four different regional perioperative settings. Only one of the EHRs used at two settings generated computer logs that supported automatic discovery of the MedRec task. At those two settings, 53 providers generated 383 MedRec instances. Findings from the computer logs were validated with ethnographic data, leading to the identification and removal of 47 outliers. Without outliers, one of the settings had slightly smaller mean (SD) time in seconds 67.3 (40.2) compared with the other, 92.1 (25). The difference in time metrics was statistically significant (p<.001). Reusability of an existing task-based analytic method allowed for rapid study of EHR-based workflow and task.

The mayo clinic model of clinical integration.

The multi-campus Academic Health Center (AHC) of the future will need to be system-based and committed to clinical integration to continue to meet institutional goals and serve the needs of its patients. The key tactics we describe to accomplish this are.

Multi-Method Study of Electronic Health Records Workflows.

EHRs transform work practices in ways that enhance or impede the quality of care. There is a need for in-depth analysis of EHR workflows, particularly in complex clinical environments. We investigated EHR-basedpre-operative workflows by combining findings from 18 interviews, 7 days of observations, and process mining of EHR interactions from 31 personnel caring for 375 patients at one tertiary referral center. We provided high-definition descriptions of workflows and personnel roles. One third (32.2%) of the time with each patient was spent interacting with the EHR and 4.2% using paper-based artifacts. We also mined personnel social networks validating observed personnel's EHR-interactions. When comparing workflows between two similar pre-operative settings at different hospitals, we found significant differences in physical organization, patient workflow, roles, use of EHR, social networks and time efficiency. This study informs Mayo Clinic's enterprise-wide conversion to a single EHR and will guide before and after workflow comparisons.

In Search of Vital Signs: A Comparative Study of EHR Documentation.

Vital sign documentation is an essential part of perioperative workflow. Health information technology can introduce complexity into all facets of documentation and burden clinicians with high cognitive load3-4. The Mayo Clinic enterprise is in the process of documenting current EHR-mediated workflow prior to a system-wide EHR conversion. We compared and evaluated three different vital sign documentation interfaces in pre-operative nursing assessments at three different Mayo Clinic sites. The interfaces differed in their modes of interaction, organization of patient information and cognitive support. Analyses revealed that accessing displays and the organization of interface elements are often unintuitive and inefficient, creating unnecessary complexities when interacting with the system. These differences surface through interface workflow models and interactive behavior measures for accessing, logging and reviewing patient information. Different designs differentially mediate task performance, which can ultimately mitigate errors for complex cognitive tasks, risking patient safety. Identifying barriers to interface usability and bottlenecks in EHR-mediated workflow can lead to system redesigns that minimize cognitive load while improving patient safety and efficiency.

Intravenous Alteplase for Acute Stroke and Pulmonary Embolism in a Patient With Recent Abdominoplasty.

INTRODUCTION: Major surgery in the past 14 days is a relative contraindication to treatment of acute stroke with intravenous (IV) alteplase. The 2016 American Heart Association/American Stroke Association scientific statement discussing inclusion and exclusion criteria for alteplase in acute stroke allows for provider judgment citing a lack of evidence to support surgery as an absolute contraindication. CASE REPORT: A 59-year-old woman presented with acute left hemiparesis, dysarthria, and acute respiratory failure. National Institutes of Health Stroke Scale was 17. Two days prior she underwent abdominoplasty and liposuction. Computed tomography angiogram of the head demonstrated acute occlusion of right M2, and computed tomography angiogram of the chest was positive for bilateral pulmonary emboli. After urgent consultation with the plastic surgery and neurosurgery teams, the patient was treated with IV alteplase followed by cerebral mechanical thrombectomy. This was complicated by surgical-site hemorrhage in the abdomen requiring operative intervention. Abdominal hemorrhage was controlled and the patient showed remarkable neurological recovery, later being discharged with no residual neurological deficits. CONCLUSIONS: Interdisciplinary collaboration can successfully inform the decision to treat acute ischemic stroke with IV alteplase in the setting of recent major surgery.

Using Process Mining Techniques to Study Workflows in a Pre-operative Setting.

Information technologies have transformed healthcare delivery and promise to improve efficiency and quality of care. However, in-depth analysis of EHR-mediated workflows is challenging. Our goal was to apply process mining, in combination with observational techniques, to understand EHR-based workflows. We reviewed nearly 76,000 event logs from 15 providers and supporting staff, and 142 patients in a pre-operative setting and we inspected 3 weeks of interviews and video observations. We found that on average 44 minutes were spent per patient interacting with the EHR, 55% of the time of the patient visit was spent by personnel interacting with the EHR and for over 5% of the time personnel used or reviewed paper-based artifacts. We also discovered the handover-of-care network and compared frequency of interactions between personnel. This study suggests that applying process mining in combination with observational techniques has vast potential for informing Mayo Clinic in the forthcoming EHR conversion.

Overall Cost Comparison of Gastrointestinal Endoscopic Procedures With Endoscopist- or Anesthesia-Supported Sedation by Activity-Based Costing Techniques.

OBJECTIVE: Endoscopic/colonoscopic procedures are either done with gastroenterologist-administered conscious sedation or with anesthesia-administered sedation with propofol. There are potential benefits to anesthesia-administered sedation, but the concern has been the associated increased cost. METHODS: To perform this study, we used the time-derived activity-based costing (TDABC) technique to accurately assess the true cost of gastrointestinal procedures done with gastroenterologist-administered conscious sedation vs anesthesia-administered sedation in 2 areas of our practice that use predominantly conscious sedation or anesthesia-administered sedation. This type of study has never been reported using such an integrated approach. This study was performed on 2 different days in June 2015. RESULTS: The true cost associated with anesthesia-administered sedation in our practice was associated with only 9% to 24% greater cost when the TDABC technique was applied. CONCLUSION: Gastrointestinal procedures with anesthesia-administered sedation are not as costly when all factors are considered. Using novel approaches to cost measurement, such as the TDABC, allows a total cost measurement approach across an episode of care that existing cost measurements in health care are incapable of.