Evaluating the prescribing and monitoring of medications associated with QTc-prolongation in the ambulatory care setting.

RATIONALE: Little is known about the prescribing of medications with potential to cause QTc-prolongation in the ambulatory care settings. Understanding real-world prescribing of QTc-prolonging medications and actions taken to mitigate this risk will help guide strategies to optimize safety and appropriate prescribing among ambulatory patients. OBJECTIVE: To evaluate the frequency of clinician action taken to monitor and mitigate modifiable risk factors for QTc-prolongation when indicated. METHODS: This retrospective, cross-sectional study evaluated clinician action at the time of prescribing prespecified medications with potential to prolong QTc in adult patients in primary care. The index date was defined as the date the medication was ordered. Electronic health record (EHR) data were evaluated to assess patient, clinician and visit characteristics. Clinician action was determined if baseline or follow-up monitoring was ordered or if action was taken to mitigate modifiable risk factors (laboratory abnormalities or electrocardiogram [ECG] monitoring) within 48 h of prescribing a medication with QTc-prolonging risk. Descriptive statistics were used to describe current practice. RESULTS: A total of 399 prescriptions were prescribed to 386 patients, with a mean age of 51 ± 18 years, during March 2021 from a single-centre, multisite health system. Of these, 17 (4%) patients had a known history of QTc-prolongation, 170 (44%) did not have a documented history of QTc-prolongation and 199 (52%) had an unknown history (no ECG documented). Thirty-nine patients (10%) had at least one laboratory-related risk factor at the time of prescribing, specifically hypokalemia (16 patients), hypomagnesemia (8 patients) or hypocalcemia (19 patients). Of these 39 patients with laboratory risk factors, only 6 patients (15%) had their risk acknowledged or addressed by a clinician. Additionally, eight patients' most recent QTc was ≥500 ms and none had an ECG checked at the time the prescription was ordered. CONCLUSION: Despite national recommendations, medication monitoring and risk mitigation is infrequent when prescribing QTc-prolonging medications in the ambulatory care setting. These findings call for additional research to better understand this gap, including reasons for the gap and consequences on patient outcomes.

Identifying and Addressing Barriers to Implementing Core Electronic Health Record Use Metrics for Ambulatory Care: Virtual Consensus Conference Proceedings.

Precise, reliable, valid metrics that are cost-effective and require reasonable implementation time and effort are needed to drive electronic health record (EHR) improvements and decrease EHR burden. Differences exist between research and vendor definitions of metrics. PROCESS: We convened three stakeholder groups (health system informatics leaders, EHR vendor representatives, and researchers) in a virtual workshop series to achieve consensus on barriers, solutions, and next steps to implementing the core EHR use metrics in ambulatory care. CONCLUSION: Actionable solutions identified to address core categories of EHR metric implementation challenges include: (1) maintaining broad stakeholder engagement, (2) reaching agreement on standardized measure definitions across vendors, (3) integrating clinician perspectives, and (4) addressing cognitive and EHR burden. Building upon the momentum of this workshop's outputs offers promise for overcoming barriers to implementing EHR use metrics.

EHR-Integrated Clinical Pathways Promote Education, Confidence, and Save Time for Primary Care Providers.

Computerized clinical decision support tools are increasingly necessary and widespread in primary care due to rapidly evolving evidence and shifting clinical guidelines. Clinical pathways are a subtype of clinical decision support tool which aim to link evidence to practice and which require evaluation of benefits and barriers to use to inform user-centered design. The objective was to describe the use and perceived benefits and barriers to evidence-based, disease-specific electronic health record pathways for clinical decision support. Primary care providers at a large integrated health system were surveyed about their use of clinical pathways using an online questionnaire distributed via email in November 2021. Descriptive statistics were estimated and differences in the characteristics and responses by pathway use were assessed using chi-square or Fisher exact tests. The survey response rate was 26% (153/593). There were differences in the response rates between providers by practice type (42% academic versus 54% community; P < 0.001). No difference was found in the demographics of those that used the pathways versus those that did not according to role, age, or length of time in practice. Providers in the academic practice were more likely than those in community practices to have used the pathways. Among providers who used the pathways, 98% agree they have evidence-based information, 98% agree they allow them to take better care of patients, 88% agree they guide clinical-decisions, and 85% agree they save time. The main barrier for those who had used pathways was that they forget about them. Among those who had not used pathways, 35% were unaware that pathways existed. This analysis demonstrates that primary care providers who adopt clinical pathways perceive benefits in several domains. The largest barriers to adoption were that users forgot about pathways or were unaware of them. Future work should focus on dissemination and education, improving tool accessibility, and content optimization to balance complexity with efficiency.

Points of Concordance, Points of Discordance: A Qualitative Examination of Telemedicine Implementation.

INTRODUCTION: Health systems undertook a rapid transition to increase the use of telemedicine in the wake of the COVID-19 pandemic. A continued need for telemedicine services in the coming years is likely. This article examines telemedicine from multiple stakeholders' perspectives considering reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) outcomes. METHODS: Semistructured interviews were conducted with primary care practice team members and patients. Rapid qualitative analysis was used to identify themes in experiences and perceptions related to telemedicine implementation. The RE-AIM implementation framework was applied to thematic findings to understand influences on implementation outcomes. RESULTS: Twenty-four practice members and 17 patients across 5 clinics participated. All stakeholder groups reported that technological capabilities influenced patients' access to telemedicine and that certain patients and reasons for visits were not appropriate for telemedicine. All groups felt that telemedicine was a good option for some patients some of the time but not all patients all of the time. DISCUSSION: Telemedicine works well if it is used for the appropriate visits and patient types and with needed technological elements. Older age may limit the feasibility of telehealth for some patients. Added administrative work and associated costs support systematic screening to determine visit appropriateness for telemedicine.

Virtual Sprint Outpatient Electronic Health Record Training and Optimization Effect on Provider Burnout.

OBJECTIVES: This study aimed to develop a virtual electronic health record (EHR) training and optimization program and evaluate the impact of the virtual model on provider and staff burnout and electronic health record (EHR) experience. METHODS: UCHealth created and supported a multidisciplinary EHR optimization and training program, known as the Epic Sprint Program. The Sprint Team conducted dozens of onsite Sprint events over the course of several years prior to the pandemic but transitioned to a fully virtual program and successfully "sprinted" 21 outpatient clinics from May to December 2020. Core program components of group and 1:1 training, workflow analysis, and new or adjusted EHR build were unchanged from the onsite model. Pre- and post-Sprint surveys provided detailed, objective data about EHR usability, EHR proficiency, job satisfaction, and burnout. RESULTS: The EHR Net Promoter Score (NPS), a likelihood to recommend metric, increased by 39 points (-3 pre and 36 post; p < 0.001) for providers and 29 points (8 pre and 37 post; p = 0.001) for staff post-Sprint. Positive provider (NPS = +53) and staff (NPS = +47) NPS scores indicated a high likelihood to recommend the Sprint Program. Post-Sprint surveys also reflect an increase in providers (10%; p = 0.04) and staff (9%; 0.13) who indicated "no burnout" or "did not feel burned out." DISCUSSION: The UCHealth Sprint Team transitioned this comprehensive, enterprise level initiative from an onsite model to a fully virtual EHR training and optimization program during the first few months of the novel coronavirus disease (COVID-19) pandemic. Despite this change in program delivery, survey data clearly demonstrated improved EHR satisfaction, a high likelihood to recommend a sprint to a friend or colleague, and a trend toward burnout reduction in providers and staff. CONCLUSION: Changing an existing on-site EHR optimization program to a purely virtual format can be successful, and this study showed improved provider and staff EHR satisfaction with reduced burnout.

Risks and rewards of increasing patient access to medical records in clinical ophthalmology using OpenNotes.

BACKGROUND: The implementation of OpenNotes and corresponding increase in patient access to medical records requires thorough assessment of the risks and benefits of note-sharing. Ophthalmology notes are unique among medical records in that they extensively utilize non-standardized abbreviations and drawings; they are often indecipherable even to highly-educated clinicians outside of ophthalmology. No studies to date have assessed ophthalmologist perceptions of OpenNotes. METHODS: A cross-sectional study was conducted from 4/28 to 5/12/2016. A survey was distributed to 30 clinicians (25 ophthalmologists, three optometrists, two nurses) in the University of Colorado's Department of Ophthalmology to evaluate provider attitudes towards granting patients access to online medical records. RESULTS: Many clinicians felt patients would have difficulty understanding their records and may be unnecessarily alarmed or offended by them. Some clinicians worried their workload would increase and feared having to change the way they document. Perceived benefits of OpenNotes included improving patient understanding of their medical conditions, strengthening patient-physician trust, and enhancing patient care. Many perceived risks and benefits of note-sharing were associated with conceptions of the ideal clinician-patient relationship. CONCLUSIONS: Clinicians in ophthalmology perceived both benefits and consequences of increasing patient access to ophthalmic records, and there were significant correlations between these perceptions and their conceptions of the clinician-patient relationship. This is the first study to assess potential ophthalmology provider attitudes toward sharing ophthalmic records. Although limited in sample size and power, this study demonstrates some ways patient-accessible ophthalmic records can affect the clinical practice of ophthalmology and emphasizes the unique challenges of OpenNotes in ophthalmology.

The influence of a Sprint optimization and training intervention on time spent in the electronic health record (EHR).

OBJECTIVE: We report the influence of Sprint electronic health record (EHR) training and optimization on clinician time spent in the EHR. MATERIALS AND METHODS: We studied the Sprint process in one academic internal medicine practice with 26 providers. Program offerings included individualized training sessions, and the ability to clean up, fix, or build new EHR tools during the 2-week intervention. EHR usage log data were available for 24 clinicians, and the average clinical full-time equivalent was 0.44. We used a quasi-experimental study design with an interrupted time series specification, with 8 months of pre- and 12 months of post-intervention data to evaluate clinician time spent in the EHR. RESULTS: We discovered a greater than 6 h per day reduction in clinician time spent in the EHR at the clinic level. At the individual clinician level, we demonstrated a time savings of 20 min per clinician per day among those who attended at least 2 training sessions. DISCUSSION: We can promote EHR time savings for clinicians who engage in robust EHR training and optimization programs. To date, programs have shown a positive correlation between participation and subjective EHR satisfaction, efficiency, or time saved. The impact of EHR training and optimization on objective time savings remains elusive. By measuring time in the EHR, this study contributes to an ongoing conversation about the resources and programs needed to decrease clinician EHR time. CONCLUSIONS: We have demonstrated that Sprint is associated with time savings for clinicians for up to 6 months. We suggest that an investment in EHR optimization and training can pay dividends in clinician time saved.

Multidisciplinary Sprint Program Achieved Specialty-Specific EHR Optimization in 20 Clinics.

OBJECTIVE: The objective of the study was to highlight and analyze the outcomes of software configuration requests received from Sprint, a comprehensive, clinic-centered electronic health record (EHR) optimization program. METHODS: A retrospective review of 1,254 Sprint workbook requests identified (1) the responsible EHR team, (2) the clinical efficiency gained from the request, and (3) the EHR intervention conducted. RESULTS: Requests were received from 407 clinicians and 538 staff over 31 weeks of Sprint. Sixty-nine percent of the requests were completed during the Sprint. Of all requests, 25% required net new build, 73% required technical investigation and/or solutions, and 2% of the requests were escalated to the vendor. The clinical specialty groups requested a higher percentage of items that earned them clinical review (16 vs. 10%) and documentation (29 vs. 23%) efficiencies compared with their primary care colleagues who requested slightly more order modifications (22 vs. 20%). Clinical efficiencies most commonly associated with workbook requests included documentation (28%), ordering (20%), in basket (17%), and clinical review (15%). Sprint user requests evaluated by ambulatory, hardware, security, and training teams comprised 80% of reported items. DISCUSSION: Sprint requests were categorized as clean-up, break-fix, workflow investigation, or new build. On-site collaboration with clinical care teams permitted consensus-building, drove vetting, and iteration of EHR build, and led to goal-driven, usable workflows and EHR products. CONCLUSION: This program evaluation demonstrates the process by which optimization can occur and the products that result when we adhere to optimization principles in health care organizations.

Optimizing the electronic health record: An inpatient sprint addresses provider burnout and improves electronic health record satisfaction.

OBJECTIVE: We sought reduce electronic health record (EHR) burden on inpatient clinicians with a 2-week EHR optimization sprint. MATERIALS AND METHODS: A team led by physician informaticists worked with 19 advanced practice providers (APPs) in 1 specialty unit. Over 2 weeks, the team delivered 21 EHR changes, and provided 39 one-on-one training sessions to APPs, with an average of 2.8 hours per provider. We measured Net Promoter Score, thriving metrics, and time spent in the EHR based on user log data. RESULTS: Of the 19 APPs, 18 completed 2 or more sessions. The EHR Net Promoter Score increased from 6 to 60 postsprint (1.0; 95% confidence interval, 0.3-1.8; P = .01). The NPS for the Sprint itself was 93, a very high rating. The 3-axis emotional thriving, emotional recovery, and emotional exhaustion metrics did not show a significant change. By user log data, time spent in the EHR did not show a significant decrease; however, 40% of the APPs responded that they spent less time in the EHR. CONCLUSIONS: This inpatient sprint improved satisfaction with the EHR.

Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado.

OBJECTIVE: Large health systems responding to the coronavirus disease 2019 (COVID-19) pandemic face a broad range of challenges; we describe 14 examples of innovative and effective informatics interventions. MATERIALS AND METHODS: A team of 30 physician and 17 nurse informaticists with an electronic health record (EHR) and associated informatics tools. RESULTS: To meet the demands posed by the influx of patients with COVID-19 into the health system, the team built solutions to accomplish the following goals: 1) train physicians and nurses quickly to manage a potential surge of hospital patients; 2) build and adjust interactive visual pathways to guide decisions; 3) scale up video visits and teach best-practice communication; 4) use tablets and remote monitors to improve in-hospital and posthospital patient connections; 5) allow hundreds of physicians to build rapid consensus; 6) improve the use of advance care planning; 7) keep clinicians aware of patients' changing COVID-19 status; 8) connect nurses and families in new ways; 9) semi-automate Crisis Standards of Care; and 10) predict future hospitalizations. DISCUSSION: During the onset of the COVID-19 pandemic, the UCHealth Joint Informatics Group applied a strategy of "practical informatics" to rapidly translate critical leadership decisions into understandable guidance and effective tools for patient care. CONCLUSION: Informatics-trained physicians and nurses drew upon their trusted relationships with multiple teams within the organization to create practical solutions for onboarding, clinical decision-making, telehealth, and predictive analytics.

Optimization Sprints: Improving Clinician Satisfaction and Teamwork by Rapidly Reducing Electronic Health Record Burden.

OBJECTIVE: To evaluate a novel clinic-focused Sprint process (an intensive team-based intervention) to optimize electronic health record (EHR) efficiency. METHODS: An 11-member team including 1 project manager, 1 physician informaticist, 1 nurse informaticist, 4 EHR analysts, and 4 trainers worked in conjunction with clinic leaders to conduct on-site EHR and workflow optimization for 2 weeks. The Sprint intervention included clinician and staff EHR training, building specialty-specific EHR tools, and redesigning teamwork. We used Agile project management principles to prioritize and track optimization requests. We surveyed clinicians about EHR burden, satisfaction with EHR, teamwork, and burnout 60 days before and 2 weeks after Sprint. We describe the curriculum, pre-Sprint planning, survey instruments, daily schedule, and strategies for clinician engagement. RESULTS: We report the results of Sprint in 6 clinics. With the use of the Net Promoter Score, clinician satisfaction with the EHR increased from -15 to +12 (-100 [worst] to +100 [best]). The Net Promoter Score for Sprint was +52. Perceptions of "We provide excellent care with the EHR," "Our clinic's use of the EHR has improved," and "Time spent charting" all improved. We report clinician satisfaction with specific Sprint activities. The percentage of clinicians endorsing burnout was 39% (47/119) before and 34% (37/107) after the intervention. Response rates to the survey questions were 47% (97/205) to 61% (89/145). CONCLUSION: The EHR optimization Sprint is highly recommended by clinicians and improves teamwork and satisfaction with the EHR. Key members of the Sprint team as well as effective local clinic leaders are crucial to success.

Physician Acceptance of a Physician-Pharmacist Collaborative Treatment Model for Hypertension Management in Primary Care.

Physician-pharmacist collaborative care (PPCC) is effective in improving blood pressure (BP) control, but primary care provider (PCP) engagement in such models has not been well-studied. The authors analyzed data from PPCC referrals to 108 PCPs, for patients with uncontrolled hypertension, assessing the proportion of referral requests approved, disapproved, and not responded to, and reasons for disapproval. Of 2232 persons with uncontrolled hypertension, PPCC referral requests were sent for 1516 (67.9%): 950 (62.7%) were approved, 406 (26.8%) were disapproved, and 160 (10.6%) received no response. Approval rates differed widely by PCP with a median approval rate of 75% (interquartile range, 41%-100%). The most common reasons for disapproval were: PCP prefers to manage hypertension (19%), and BP controlled per PCP (18%); 8% of cases were considered too complex for PPCC. Provider acceptance of a PPCC hypertension clinic was generally high and sustained but varied widely among PCPs. No single reason for disapproval predominated.

Evaluation of the role of training in the implementation of a depression screening and treatment protocol in 2 academic outpatient internal medicine clinics utilizing the electronic medical record.

Systematic approaches to depression identification and management are effective though not consistently implemented. The research team implemented a depression protocol, preceded by training, in 2 faculty-resident practices. Medical assistants used the Patient Health Questionnaire (PHQ)-2 for initial screening; providers performed the PHQ-9. These were documented in the electronic medical record. Logistic regression was performed to assess the association of provider type, clinic site, and training attendance with documentation of PHQ-9 after positive PHQ-2s, and with repeat PHQ-9s after positive PHQ-9s. In logistic regression analysis, training attendance was positively associated with documentation of PHQ-9 after a positive PHQ-2 (odds ratio [OR] = 2.4 [confidence interval (CI) = 1.3-4.3]) and repeated documentation of a PHQ-9 after a positive PHQ-9 (OR = 2.5 [CI = 1.1-5.3]). This study describes the successful implementation of a stepped-care approach to depression care. The positive association of training with compliance with protocol procedures indicates the importance of training in the implementation of practice change.