Effectiveness of early warning systems in the detection of infectious diseases outbreaks: a systematic review.

BACKGROUND: Global pandemics have occurred with increasing frequency over the past decade reflecting the sub-optimum operationalization of surveillance systems handling human health data. Despite the wide array of current surveillance methods, their effectiveness varies with multiple factors. Here, we perform a systematic review of the effectiveness of alternative infectious diseases Early Warning Systems (EWSs) with a focus on the surveillance data collection methods, and taking into consideration feasibility in different settings. METHODS: We searched PubMed and Scopus databases on 21 October 2022. Articles were included if they covered the implementation of an early warning system and evaluated infectious diseases outbreaks that had potential to become pandemics. Of 1669 studies screened, 68 were included in the final sample. We performed quality assessment using an adapted CASP Checklist. RESULTS: Of the 68 articles included, 42 articles found EWSs successfully functioned independently as surveillance systems for pandemic-wide infectious diseases outbreaks, and 16 studies reported EWSs to have contributing surveillance features through complementary roles. Chief complaints from emergency departments' data is an effective EWS but it requires standardized formats across hospitals. Centralized Public Health records-based EWSs facilitate information sharing; however, they rely on clinicians' reporting of cases. Facilitated reporting by remote health settings and rapid alarm transmission are key advantages of Web-based EWSs. Pharmaceutical sales and laboratory results did not prove solo effectiveness. The EWS design combining surveillance data from both health records and staff was very successful. Also, daily surveillance data notification was the most successful and accepted enhancement strategy especially during mass gathering events. Eventually, in Low Middle Income Countries, working to improve and enhance existing systems was more critical than implementing new Syndromic Surveillance approaches. CONCLUSIONS: Our study was able to evaluate the effectiveness of Early Warning Systems in different contexts and resource settings based on the EWSs' method of data collection. There is consistent evidence that EWSs compiling pre-diagnosis data are more proactive to detect outbreaks. However, the fact that Syndromic Surveillance Systems (SSS) are more proactive than diagnostic disease surveillance should not be taken as an effective clue for outbreaks detection.

"They say it's fentanyl, but they honestly look like Perc 30s": Initiation and use of counterfeit fentanyl pills.

BACKGROUND: Worsening of the overdose crisis in the USA has been linked to the continuing proliferation of non-pharmaceutical fentanyl (NPF). The recent wave of NPF spread in the USA has been fueled by an increased presence of counterfeit pills that contain NPF. This qualitative study aims to characterize the motivation and practices of counterfeit NPF pill initiation and use among individuals using illicit opioids in Arizona. METHODS: Between October 2020 and May 2021, semi-structured interviews were conducted with 22 individuals meeting the following eligibility criteria: (1) 18 years or older; (2) residence in Arizona; and (3) use of illicit opioids in the past 30 days and/or opioid use disorder treatment in the past 12 months. Participants were recruited through referrals by a harm reduction organization, craigslist ads, and referrals by other participants. Interviews were conducted virtually via Zoom. Qualitative interviews were transcribed and analyzed thematically using NVivo. RESULTS: Out of 22 participants, 64% were male, and 45% were ethnic minorities. Age ranged between 25 and 51 years old. Participants noted significant recent increases in the availability of counterfeit NPF pills ("blues," "dirty oxys") that were most commonly used by smoking. The majority indicated first trying NPF pills in the past year, and the first use often occurred in situations of reduced access to heroin or pharmaceutical opioids. Participant decisions to switch over to more frequent NPF pill use or to maintain some levels of heroin use were shaped by local drug availability trends and personal experiences with NPF effects. They were also influenced by conflicting views of social acceptability of pharmaceutical-like drugs, perceived harms of NPF in terms of overdose risks and increased difficulty of quitting, and perceived benefits of switching to the non-injection route of opioid administration (e.g., from injecting heroin to smoking NPF pills). CONCLUSION: Our findings highlight the need for the implementation of novel policy, treatment, and harm reduction approaches to address the growing unpredictability of drug supply and NPF pill-specific risks, attitudes, and behaviors.

Aging through the time of COVID-19: a survey of self-reported healthcare access.

BACKGROUND: Chronic conditions are common and require ongoing continuous management and preventive measures. The COVID-19 pandemic may have affected the management of chronic conditions by delaying care. We sought to understand the impact of personal characteristics (i.e., age) and healthcare factors (i.e., access to a provider) on healthcare access in a sample of Americans 50 years of age or older during COVID-19. METHOD: Participants completed an online survey at the start of the COVID-19 pandemic - the Aging in the Time of COVID Survey. Questions focused on health status, health care access, COVID-19 fear, and social connectedness. Participants were recruited through social media advertisements, list serves, and snowball sampling. Data collection started in early April 2020 and concluded in late May 2020. Logistic regression models examined the results of two key access points: healthcare provider/doctor (n = 481) and medication (n = 765), with 56 and 93% of participants reporting access to a provider and medications, respectively. RESULTS: Individuals with an established primary care provider were much more likely to obtain access to a healthcare provider, OR = 3.81 (95% CI: 1.69, 8.77), and to receive medication, OR = 4.48 (95% CI: 1.61, 11.48), during the time of COVID-19. In addition, access to medication was (a) higher for those who were older, OR = 1.05 (95% CI: 1.01, 1.09), had a higher income (greater than 100 k compared to less than 50 k, OR = 3.04 (95% CI: 1.11, 8.98), and (b) lower for those having caregiving responsibilities, OR = 0.41 (95% CI: 0.21, 0.78), or greater social isolation, OR = 0.93 (95% CI: 0.87, 0.98). CONCLUSIONS: Although most participants had access to medication, just over half had access to a healthcare provider when needed. Notably, health-seeking behaviors for individuals who do not have an established primary care providers as well as those who provide unpaid care, are socially isolated, and younger may require more proactive approaches to care monitoring, management, and maintenance.

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.

A regional informatics platform for coordinated antibiotic-resistant infection tracking, alerting, and prevention.

BACKGROUND: We developed and assessed the impact of a patient registry and electronic admission notification system relating to regional antimicrobial resistance (AMR) on regional AMR infection rates over time. We conducted an observational cohort study of all patients identified as infected or colonized with methicillin-resistant Staphylococcus aureus (MRSA) and/or vancomycin-resistant enterococci (VRE) on at least 1 occasion by any of 5 healthcare systems between 2003 and 2010. The 5 healthcare systems included 17 hospitals and associated clinics in the Indianapolis, Indiana, region. METHODS: We developed and standardized a registry of MRSA and VRE patients and created Web forms that infection preventionists (IPs) used to maintain the lists. We sent e-mail alerts to IPs whenever a patient previously infected or colonized with MRSA or VRE registered for admission to a study hospital from June 2007 through June 2010. RESULTS: Over a 3-year period, we delivered 12 748 e-mail alerts on 6270 unique patients to 24 IPs covering 17 hospitals. One in 5 (22%-23%) of all admission alerts was based on data from a healthcare system that was different from the admitting hospital; a few hospitals accounted for most of this crossover among facilities and systems. CONCLUSIONS: Regional patient registries identify an important patient cohort with relevant prior antibiotic-resistant infection data from different healthcare institutions. Regional registries can identify trends and interinstitutional movement not otherwise apparent from single institution data. Importantly, electronic alerts can notify of the need to isolate early and to institute other measures to prevent transmission.

The challenge of methicillin-resistant Staphylococcus aureus prevention in hemodialysis therapy.

Methicillin-resistant Staphylococcus aureus (MRSA) infections have challenged care process and resource utilization in the acute hospital care setting for nearly 30 years. These infections have become important causes of morbidity, mortality, and a source of concern in the primary and emergency care context over the past decade. As individuals receiving recurrent therapy with features of both ambulatory care and acute care, hemodialysis patients are exposed to numerous opportunities for MRSA acquisition. Surprisingly, high prevalence rates for MRSA colonization have been demonstrated for both hemodialysis patients and their care providers. The necessity of vascular access and the persistent high prevalence of endovascular catheter use among patients repeatedly exposed to healthcare settings provide the perfect milieu for the troubling rates of MRSA infection, particularly bloodstream infections, in outpatient dialysis care. Dialysis industry shifts, including increased requirements for compliance and reporting in other areas of dialysis care, tax resources for infection prevention processes. Multifaceted strategies that include reassessment of vascular access care, attention to the interruption of MRSA transmission dynamics, and emphasis on organizational learning processes are needed to accomplish a meaningful reduction in the morbidity, mortality, and cost associated with MRSA infections in dialysis care.

Quality measurement and system change of cancer care delivery.

Cancer care quality measurement and system change may serve as a case example for larger possibilities in the health care system related to other diseases. Cancer care quality gaps and variation exist across both technical and patient-centered cancer quality measures, especially among vulnerable populations. There is a need to develop measures that address the following dimensions of quality and its context: disparities, overuse, patient-centeredness, and uncertainty. Developments that may promote system change in cancer care delivery include changes in the information market, organizational accountability, and consumer empowerment. Information market changes include public cancer care quality reporting, enabled by health information exchange, and incentivized by pay-for-performance. Moving organizational accountability, reimbursement, and quality measurement from individual episodes of care to multiple providers providing coordinated cancer care may address quality gaps associated with the fragmentation of care delivery. Consumer empowerment through new technologies, such as personal health records, may lead to the collection of patient-centered quality measures and promote patient self-management. Across all of these developments, leadership and ongoing research to guide informed system changes will be necessary to transform the cancer care delivery system.

Emerging perspectives on transforming the healthcare system: key conceptual issues.

BACKGROUND: Despite reform efforts, today's healthcare system faces multiple challenges. Limitations of the current system result in major gaps between evidence and practice, suboptimal quality, inequitable patterns of utilization, inadequate safety and reliability, and unsustainable cost increases. Furthermore, there are major problems of overuse, underuse, and misuse of healthcare. Beyond the healthcare reform legislation passed in 2010 mandate, major transformation of how U.S. A healthcare system is comprised of multiple levels. PURPOSE: This article briefly outlines the need for transformational change in healthcare and key conceptual issues. METHODS: We identified literature and concepts relevant to developing a research agenda on transformational change in healthcare. Relevant concepts were further developed through conference presentations and discussions. CONCLUSIONS: This introduction to the 10th Regenstrief Conference proceedings provides a foundation for understanding key terms, questions, and concepts relevant to the area of transformational change in healthcare.

Emerging perspectives on transforming the healthcare system: redesign strategies and a call for needed research.

BACKGROUND: U.S. healthcare requires major redesign of its delivery systems, finances, and incentives. Healthcare operations, leadership, and payors are increasingly recognizing the need for community-business-research partnerships to transform healthcare. New models of continuous learning, research, and development should help focus and sustain redesign efforts. PURPOSE: This study summarizes suggested strategies for transformational change in healthcare and identifies needed areas for research to inform, spread, and sustain transformational change. METHODS: We developed these recommendations based on a series of review papers, invited expert discussion, and a subsequent review in the context of a health system transformation research conference (The Regenstrief Biennial Research Conference). The multidisciplinary audience included health systems researchers, clinicians, informaticians, social and engineering scientists, and operational and business leaders. FINDINGS: Conference participants and literature reviews identified key strategies for system redesign with the following themes: using the framework of complex adaptive systems; fostering organizational redesign; developing appropriate performance measures and incentives; creating continuous learning organizations; and integrating health information, technology, and communication into practice. Sustained investment in research and development in these areas is crucial. CONCLUSIONS: Multiple issues influence the likelihood that healthcare leaders will make transformational changes in their healthcare systems. Healthcare leaders, clinicians, researchers, journals, and academic institutions, in partnership with payors, government and multiple other stakeholders, should apply the recommendations relevant to their own setting to redesign healthcare delivery, improve cognitive support, and sustain transformation. Fostering further research investments in these areas will increase the impact of transformation on the health and healthcare of the public.

Redesign of a computerized clinical reminder for colorectal cancer screening: a human-computer interaction evaluation.

BACKGROUND: Based on barriers to the use of computerized clinical decision support (CDS) learned in an earlier field study, we prototyped design enhancements to the Veterans Health Administration's (VHA's) colorectal cancer (CRC) screening clinical reminder to compare against the VHA's current CRC reminder. METHODS: In a controlled simulation experiment, 12 primary care providers (PCPs) used prototypes of the current and redesigned CRC screening reminder in a within-subject comparison. Quantitative measurements were based on a usability survey, workload assessment instrument, and workflow integration survey. We also collected qualitative data on both designs. RESULTS: Design enhancements to the VHA's existing CRC screening clinical reminder positively impacted aspects of usability and workflow integration but not workload. The qualitative analysis revealed broad support across participants for the design enhancements with specific suggestions for improving the reminder further. CONCLUSIONS: This study demonstrates the value of a human-computer interaction evaluation in informing the redesign of information tools to foster uptake, integration into workflow, and use in clinical practice.

Implementation of evidence-based practices: Applying a goal commitment framework.

BACKGROUND: The implementation of evidence-based practices translates research findings into practice to reduce inappropriate care. However, this process is slow and unpredictable. The lack of a coherent theoretical basis for understanding individual and organizational behavior limits our ability to formulate effective implementation strategies. PURPOSE: The study objectives are (a) to test the goal commitment framework that explains mechanisms impacting outcomes of major depressive disorder (MDD) screening guideline implementation and (b) to understand the effects of implementation outcomes on provider practice related to MDD screening. METHODS: Using data from the Determinants of Clinical Practice Guideline Implementation Effectiveness Study, the national sample included 2,438 clinicians from 139 Veteran Affairs acute care hospitals with primary care clinics. We used hierarchical generalized linear modeling to assess the following implementation outcomes: agreement with, adherence to, improvement in knowledge of guidelines, and delivery of best practices as a function of clinician input into implementation, teamwork, involvement in quality improvement activities, participative culture, interdepartmental coordination, frequency, and utility of performance feedback. We then estimated self-reported MDD screening practices as a function of these four implementation outcomes. FINDINGS: Results showed that having input into implementation, involvement in quality of care improvement, teamwork, and perceived value of performance feedback were positively associated with implementation outcomes. Provider self-assessed guideline adherence was positively associated with the likelihood of appropriate MDD screening. IMPLICATIONS: Factors related to increased goal commitment positively predicted key implementation outcomes, which in turn enhanced care delivery. This study demonstrates that the goal commitment framework is useful in assisting managers to assess factors that facilitate implementation. In particular, participation, feedback, and team work equip organizational participants with better information about implementation targets, thereby increasing adherence. Instituting or improving systems or programs to facilitate timely, appropriate performance feedback and provider participation may help enhancing organizational change and learning.

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.

Healthcare Team Vitality Instrument (HTVI): developing a tool assessing healthcare team functioning.

AIM: This paper is a report of a study conducted to refine, shorten and validate the Healthcare Team Vitality Instrument. BACKGROUND: The Healthcare Team Vitality Instrument was developed to assess team vitality of nurses as well as other licensed and unlicensed personnel working as part of healthcare teams in inpatient hospital units. This instrument was necessary for two reasons. First, other commonly used instruments assess characteristics of Registered Nurses or perceptions about and characteristics of the organizations in which they work, but not these factors in combination with critical factors of interdisciplinary team functioning and collaboration. Second, a short tool for repeated, regular measurement of team vitality was needed to track the impact of changes to improve work environments. METHOD: Revisions to the Healthcare Team Vitality Instrument occurred in two phases. Phase 1 entailed collecting preliminary data and conducting cognitive interviews to refine the initial items. During Phase 2, the factor structure of the Healthcare Team Vitality Instrument was identified and a brief form developed and validated. Data were collected in 2006 and 2007. FINDINGS: Exploratory factor analyses suggested a four-factor solution with the following dimensions: (1) support structures, (2) engagement and empowerment, (3) patient care transitions and (4) team communication. CONCLUSION: The Healthcare Team Vitality Instrument can contribute both to better management practices and advancing knowledge to promote retention of nurses, and to some extent other healthcare professionals, as well as efforts to transform the acute healthcare work environment.

Understanding nurse manager stress and work complexity: factors that make a difference.

OBJECTIVE: This study provided insight into nurse manager stress and coping experiences. BACKGROUND: Overwork and stress have been implicated in today's nursing shortage. Although nurse managers play a pivotal role in creating work environments that retain staff nurses, little is known about nurse manager work. METHODS: This qualitative descriptive study used a sample of 21 nurse managers to determine what situations contribute to their stress, individual coping strategies, and health-related outcomes. Content analysis identified 3 study themes. RESULTS: People and resources, tasks and work volume, and performance expectations affect nurse managers' perceptions of stress. When comparing novice nurse managers with experienced nurse managers, experienced nurse managers (especially comanagers) used more effective (problem focused) coping strategies and had fewer negative health-related outcomes. CONCLUSION: Findings from this study suggest that to impact stress, coping, and complexity in the nurse manager role requires a combination of strategies that address individual and organizational factors.

We're Lost, But We are Making Good Time: Navigating Complex Pathways in a Patient-Order Management Task.

Patient order management (POM) is a mission-critical task for perioperative workflow. Interface complexity within different EHR systems result in poor usability, increasing documentation burden. POM interfaces were compared across two systems prior to (Cerner SurgiNet) and subsequent to an EHR conversion (Epic). Here we employ a navigational complexity framework useful for examining differences in EHR interface systems. The methodological approach includes 1) expert-based methods-specifically, functional analysis, keystroke level model (KLM) and cognitive walkthrough, and 2) quantitative analysis of observed interactive user behaviors. We found differences in relation to navigational complexity with the SurgiNet interface displaying a higher number of unused POM functions, with 12 in total whereas Epic displayed 7 total functions. As reflected in all measures, Epic facilitated a more streamlined task-focused user experience. The approach enabled us to scrutinize the impact of different EHR interfaces on task performance and usability barriers subsequent to system implementation.

Evaluation of a physician informatics tool to improve patient handoffs.

OBJECTIVE To facilitate patient handoffs between physicians, the computerized patient handoff tool (PHT) extracts information from the electronic health record to populate a form that is printed and given to the cross-cover physician. OBJECTIVES were to: (1) evaluate the rate at which data elements of interest were extracted from the electronic health record into the PHT, (2) assess the frequency for needing information beyond that contained in the PHT and where obtained, (3) assess physician's perceptions of the PHT, (4) identify opportunities for improvement. DESIGN Observational study. MEASUREMENTS This multi-method study included content coding of PHT forms, end of shift surveys of cross-cover resident physicians, and semi-structured interviews to identify opportunities for improvement. Thirty-five of 42 internal medicine resident physicians participated. Measures included: 1264 PHT forms coded for type of information, 63 end-of-shift surveys of cross-cover residents (residents could participate 2 times), and 18 semi-structured interviews. RESULTS For objective 1, patient identifiers and medications were reliably extracted (>98%). Other types of information-allergies and code status-were more variable (<50%). For objective 2, nearly a quarter of respondents required information from physician notes not available in the PHT. For objective 3, respondents found that the PHT supported handoffs but indicated that it often excluded the assessment and plan. For objective 4, residents suggested including treatment plans. CONCLUSIONS The PHT reliably extracts information from the electronic health record. Respondents found the PHT to be suitable, although opportunities for improvement were identified.

Large-Scale Data Mining to Optimize Patient-Centered Scheduling at Health Centers.

Patient-centered appointment access is of critical importance at community health centers (CHCs) and its optimal implementation entails the use of advanced data analytics. This study seeks to optimize patient-centered appointment scheduling through data mining of Electronic Health Record/Practice Management (EHR/PM) systems. Data was collected from different EHR/PM systems in use at three CHCs across the state of Indiana and integrated into a multidimensional data warehouse. Data mining was performed using decision tree modeling, logistic regression, and visual analytics combined with n-gram modeling to derive critical influential factors that guide implementation of patient-centered open-access scheduling. The analysis showed that appointment adherence was significantly correlated with the time dimension of scheduling, with lead time for an appointment being the most significant predictor. Other variables in the time dimension such as time of the day and season were important predictors as were variables tied to patient demographic and clinical characteristics. Operationalizing the findings for selection of open-access hours led to a 16% drop in missed appointment rates at the interventional health center. The study uncovered the variability in factors affecting patient appointment adherence and associated open-access interventions in different health care settings. It also shed light on the reasons for same-day appointment through n-gram-based text mining. Optimizing open-access scheduling methods require ongoing monitoring and mining of large-scale appointment data to uncover significant appointment variables that impact schedule utilization. The study also highlights the need for greater "in-CHC" data analytic capabilities to re-design care delivery processes for improving access and efficiency.

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.

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.