The role of organizations in shaping physician use of electronic health records.

OBJECTIVE: The aim of the study was to (1) characterize organizational differences in primary care physicians' electronic health record (EHR) behavior; (2) assess within-organization consistency in EHR behaviors; and (3) identify whether organizational consistency is associated with physician-level efficiency. DATA SOURCES: EHR metadata capturing averaged weekly measures of EHR time and documentation composition from 75,124 US primary care physicians across 299 organizations between September 2020 and May 2021 were taken. EHR time measures include active time in orders, chart review, notes, messaging, time spent outside of scheduled hours, and total EHR time. Documentation composition measures include note length and percentage use of templated text or copy/paste. Efficiency is measured as the percent of visits with same-day note completion. STUDY DESIGN: All analyses are cross-sectional. Across-organization differences in EHR use and documentation composition are presented via 90th-to-10th percentile ratios of means and SDs. Multilevel modeling with post-estimation variance partitioning assesses the extent of an organizational signature-the proportion of variation in our measures attributable to organizations (versus specialty and individual behaviors). We measured organizational internal consistency for each measure via organization-level SD, which we grouped into quartiles for regression. Association between internally consistent (i.e., low SD) organizational EHR use and physician-level efficiency was assessed with multi-variable OLS models. DATA COLLECTION: Extraction from Epic's Signal platform used for measuring provider EHR efficiency. PRINCIPAL FINDINGS: EHR time per visit for physicians at a 90th percentile organization is 1.94 times the average EHR time at a 10th percentile organization. There is little evidence, on average, of an organizational signature. However, physicians in organizations with high internal consistency in EHR use demonstrate increased efficiency. Physicians in organizations with the highest internal consistency (top quartile) have a 3.77 percentage point higher same-day visit closure rates compared with peers in bottom quartile organizations (95% confidence interval: 0.0142-0.0612). CONCLUSIONS: Results suggest unrealized opportunities for organizations and policymakers to support consistency in how physicians engage in EHR-supported work.

Access to preferred skilled nursing facilities: Transitional care pathways for patients with Alzheimer's disease and related dementias.

OBJECTIVE: The study aimed to assess whether individuals with Alzheimer's disease and related dementias (ADRD) experience restricted access to hospitals' high-volume preferred skilled nursing facility (SNF) partners. DATA SOURCES: The data source includes acute care hospital to SNF transitions identified using 100% Medicare Provider Analysis and Review files, 2017-2019. STUDY DESIGN: We model and compare the estimated effect of facility "preferredness" on SNF choice for patients with and without ADRD. We use conditional logistic regression with a 1:1 patient sample otherwise matched on demographic and encounter characteristics. DATA COLLECTION: Our matched sample included 58,190 patients, selected from a total observed population of 3,019,260 Medicare hospitalizations that resulted in an SNF transfer between 2017 and 2019. PRINCIPAL FINDINGS: Overall, patients with ADRD have a lower probability of being discharged to a preferred SNF (52.0% vs. 54.4%, p < 0.001). Choice model estimation using our matched sample suggests similarly that the marginal effect of preferredness on a patient choosing a proximate SNF is 2.4 percentage points lower for patients with ADRD compared with those without (p < 0.001). The differential effect of preferredness based on ADRD status increases when considering (a) the cumulative effect of multiple SNFs in close geographic proximity, (b) the magnitude of the strength of hospital-SNF relationship, and (c) comparing patients with more versus less advanced ADRD. CONCLUSIONS: Preferred relationships are significantly predictive of where a patient receives SNF care, but this effect is weaker for patients with ADRD. To the extent that these high-volume relationships are indicative of more targeted transitional care improvements from hospitals, ADRD patients may not be fully benefiting from these investments. Hospital leaders can leverage integrated care relationships to reduce SNFs' perceived need to engage in selection behavior (i.e., enhanced resource sharing and transparency in placement practices). Policy intervention may be needed to address selection behavior and to support hospitals in making systemic improvements that can better benefit all SNF partners (i.e., more robust information sharing systems).

Association of Primary Care Visit Length With Potentially Inappropriate Prescribing.

Importance: Time is a valuable resource in primary care, and physicians and patients consistently raise concerns about inadequate time during visits. However, there is little evidence on whether shorter visits translate into lower-quality care. Objective: To investigate variations in primary care visit length and quantify the association between visit length and potentially inappropriate prescribing decisions by primary care physicians. Design, Setting, and Participants: This cross-sectional study used data from electronic health record systems in primary care offices across the US to analyze adult primary care visits occurring in calendar year 2017. Analysis was conducted from March 2022 through January 2023. Main Outcomes and Measures: Regression analyses quantified the association between patient visit characteristics and visit length (measured using time stamp data) and the association between visit length and potentially inappropriate prescribing decisions, including inappropriate antibiotic prescriptions for upper respiratory tract infections, coprescribing of opioids and benzodiazepines for painful conditions, and prescriptions that were potentially inappropriate for older adults (based on the Beers criteria). All rates were estimated using physician fixed effects and were adjusted for patient and visit characteristics. Results: This study included 8 119 161 primary care visits by 4 360 445 patients (56.6% women) with 8091 primary care physicians; 7.7% of patients were Hispanic, 10.4% were non-Hispanic Black, 68.2% were non-Hispanic White, 5.5% were other race and ethnicity, and 8.3% had missing race and ethnicity. Longer visits were more complex (ie, more diagnoses recorded and/or more chronic conditions coded). After controlling for scheduled visit duration and measures of visit complexity, younger, publicly insured, Hispanic, and non-Hispanic Black patients had shorter visits. For each additional minute of visit length, the likelihood that a visit resulted in an inappropriate antibiotic prescription changed by -0.11 percentage points (95% CI, -0.14 to -0.09 percentage points) and the likelihood of opioid and benzodiazepine coprescribing changed by -0.01 percentage points (95% CI, -0.01 to -0.009 percentage points). Visit length had a positive association with potentially inappropriate prescribing among older adults (0.004 percentage points; 95% CI, 0.003-0.006 percentage points). Conclusions and Relevance: In this cross-sectional study, shorter visit length was associated with a higher likelihood of inappropriate antibiotic prescribing for patients with upper respiratory tract infections and coprescribing of opioids and benzodiazepines for patients with painful conditions. These findings suggest opportunities for additional research and operational improvements to visit scheduling and quality of prescribing decisions in primary care.

Perceptions of information continuity key to understanding quality of post-acute care transitions.

BACKGROUND: Skilled nursing facilities' (SNFs) ability to provide optimal post-acute care depends on effective receipt of information from hospitals ("information continuity"). Little is known about how SNFs perceive information continuity and how it may relate to upstream information sharing processes, organizational context, and downstream outcomes. PURPOSE: First, this study aims to identify how SNF perceptions of information continuity may be shaped by hospital information sharing practices, including measures of completeness, timeliness, and usability, as well as characteristics of the transitional care environment (i.e., integrated care relationships and/or consistency of information sharing practices across different hospital partners). Second, we analyze which of these characteristics are associated with quality of transitional care (measured by 30-day readmissions). APPROACH: A cross-sectional analysis of nationally representative SNF survey ( N = 212) linked to Medicare claims was performed. RESULTS: SNF perceptions of information continuity are strongly and positively associated with hospital information sharing practices. Adjusting for actual information sharing practices, SNFs that experienced discordance across hospitals reported lower perceptions of continuity (ß = -0.73, p = .022); evidence of stronger relationships with a given hospital partner appears to help facilitate resources and communication that helps to close this gap. Perceptions of information continuity, more so than the upstream information sharing processes reported, exhibited a more reliable and significant association with rates of readmissions as an indicator of transitional care quality. CONCLUSION: SNF perceptions of information continuity are strongly associated with patient outcomes and are reflective of both hospital information sharing practices as well as characteristics of the transitional care environment that can mitigate or amplify the cognitive and administration challenge of their work. PRACTICE IMPLICATIONS: Improving transitional care quality requires that hospitals improve information sharing behaviors but also invest in capacity for learning and process improvement in the SNF environment.

Information sharing to support care transitions for patients with complex mental health and social needs.

BACKGROUND: Patients with complex behavioral and mental health conditions require significant transitional care coordination. It is unclear how skilled nursing facilities (SNFs) that serve these patients engage in care transfer with hospitals, specifically whether they experience discrepancies in the type of information shared by hospital partners and/or use different approaches to secure needed information. METHODS: Cross-sectional analysis of a national 2019-2020 SNF survey that collected information on transitional care practices with referring hospitals; respondents were directors of nursing services. We used chi-squared tests and descriptive statistics to characterize hospital information sharing practices experienced by facilities that accept complex patients (e.g., serious mental illness, substance use disorder, and/or medication assisted treatment), and to compare them to facilities that treat a less complex population. RESULTS: A total of 215 SNFs had sufficiently complete responses for inclusion in the analysis. Of these respondents, 57% accepted two or more types of patients with complex conditions of interest; these SNFs were more likely to be urban, for-profit, and serve more dual-eligible patients. SNFs accepting complex patients experience information sharing on par with other facilities, and are more likely to receive information on behavioral, social, mental, and functional status (25.41% vs. 12.90%; p = 0.023). These facilities are also more likely to consistently use electronic methods (e.g., an online portal, shared electronic health record [EHR] access) to retrieve information from partner hospitals. CONCLUSIONS: SNFs accepting complex patients demonstrate some evidence of enhanced information retrieval via electronically mediated pathways. Overall, information sharing remains underdeveloped in this care context. Policymakers should continue to prioritize widespread digital infrastructure that supports post-acute care delivery.

I had not time to make it shorter: an exploratory analysis of how physicians reduce note length and time in notes.

OBJECTIVE: We analyze observed reductions in physician note length and documentation time, 2 contributors to electronic health record (EHR) burden and burnout. MATERIALS AND METHODS: We used EHR metadata from January to May, 2021 for 130 079 ambulatory physician Epic users. We identified cohorts of physicians who decreased note length and/or documentation time and analyzed changes in their note composition. RESULTS: 37 857 physicians decreased either note length (n = 15 647), time in notes (n = 15 417), or both (n = 6793). Note length decreases were primarily attributable to reductions in copy/paste text (average relative change of -18.9%) and templated text (-17.2%). Note time decreases were primarily attributable to reductions in manual text (-27.3%) and increases in note content from other care team members (+21.1%). DISCUSSION: Organizations must consider priorities and tradeoffs in the distinct approaches needed to address different contributors to EHR burden. CONCLUSION: Future research should explore scalable burden-reduction initiatives responsive to both note bloat and documentation time.

Trends in Ransomware Attacks on US Hospitals, Clinics, and Other Health Care Delivery Organizations, 2016-2021.

Importance: Anecdotal evidence suggests that health care delivery organizations face a growing threat from ransomware attacks that are designed to disrupt care delivery and may consequently threaten patient outcomes. Objective: To quantify the frequency and characteristics of ransomware attacks on health care delivery organizations. Design, Setting, and Participants: This cohort study used data from the Tracking Healthcare Ransomware Events and Traits database to examine the number and characteristics of ransomware attacks on health care delivery organizations from 2016 to 2021. Logistic and negative binomial regression quantified changes over time in the characteristics of ransomware attacks that affected health care delivery organizations. Main Outcomes and Measures: Date of ransomware attack, public reporting of ransomware attacks, personal health information (PHI) exposure, status of encrypted/stolen data following the attack, type of health care delivery organization affected, and operational disruption during the ransomware attack. Results: From January 2016 to December 2021, 374 ransomware attacks on US health care delivery organizations exposed the PHI of nearly 42 million patients. From 2016 to 2021, the annual number of ransomware attacks more than doubled from 43 to 91. Almost half (166 [44.4%]) of ransomware attacks disrupted the delivery of health care, with common disruptions including electronic system downtime (156 [41.7%]), cancellations of scheduled care (38 [10.2%]), and ambulance diversion (16 [4.3%]). From 2016 to 2021, ransomware attacks on health care delivery organizations increasingly affected large organizations with multiple facilities (annual marginal effect [ME], 0.08; 95% CI, 0.05-0.10; P < .001), exposed the PHI of more patients (ME, 66 385.8; 95% CI, 3400.5-129 371.2; P = .04), were less likely to be restored from data backups (ME, -0.04; 95% CI, -0.06 to -0.01; P = .002), were more likely to exceed mandatory reporting timelines (ME, 0.06; 95% CI, 0.03-0.08; P < .001), and increasingly were associated with delays or cancellations of scheduled care (ME, 0.02; 95% CI, 0-0.05; P = .02). Conclusions and Relevance: This cohort study of ransomware attacks documented growth in their frequency and sophistication. Ransomware attacks disrupt care delivery and jeopardize information integrity. Current monitoring/reporting efforts provide limited information and could be expanded to potentially yield a more complete view of how this growing form of cybercrime affects the delivery of health care.

Management Opportunities and Challenges After Achieving Widespread Health System Digitization.

The adoption of electronic health records (EHRs) and digitization of health data over the past decade is ushering in the next generation of digital health tools that leverage artificial intelligence (AI) to improve varied aspects of health system performance. The decade ahead is therefore shaping up to be one in which digital health becomes even more at the forefront of health care delivery - demanding the time, attention, and resources of health care leaders and frontline staff, and becoming inextricably linked with all dimensions of health care delivery. In this chapter, we look back and look ahead. There are substantive lessons learned from the first era of large-scale adoption of enterprise EHRs and ongoing challenges that organizations are wrestling with - particularly related to the tension between standardization and flexibility/customization of EHR systems and the processes they support. Managing this tension during efforts to implement and optimize enterprise systems is perhaps the core challenge of the past decade, and one that has impeded consistent realization of value from initial EHR investments. We describe these challenges, how they manifest, and organizational strategies to address them, with a specific focus on alignment with broader value-based care transformation. We then look ahead to the AI wave - the massive number of applications of AI to health care delivery, the expected benefits, the risks and challenges, and approaches that health systems can consider to realize the benefits while avoiding the risks.

Progress Toward Digital Transformation in an Evolving Post-Acute Landscape.

Digitization has been a central pillar of structural investments to promote organizational capacity for transformation, and yet skilled nursing facilities (SNFs) and other post-acute providers have been excluded and/or delayed in benefitting from the past decade of substantial public and private-sector investment in information technology (IT). These settings have limited internal capacity and resources to invest in digital capabilities on their own, propagating a limited infrastructure that may only further sideline SNFs and their role in an ever-evolving health care landscape that needs to be focused on age-friendly, high-value care. Meaningful progress will require continuous refinement of supportive policy, financial investment, and scalable organizational best practices specific to the SNF context. In this essay, we lay out an action agenda to move from age-agnostic to age-friendly digital transformation. Key to the value proposition of these efforts is a focus on interoperability-the seamless exchange of electronic health information across settings that is critical for care coordination and for providers to have the information they need to make safe and appropriate care decisions. Interoperability is not synonymous with digital transformation, but a foundational building block for its potential. We characterize the current state of digitization in SNFs in the context of key health IT policy advancements over the past decade, identifying ongoing and emergent policy work where the digitization needs of SNFs and other post-acute settings can be better addressed. We also discuss accompanying implementation considerations and strategies for optimally translating policy efforts into impactful practice change across an ever-evolving post-acute landscape. Acting on these insights at the policy and practice level provides cautious optimism that nursing home care-and care for older adults across the care continuum-may benefit more equitably from the promise of future digitization.

Early Changes in Billing and Notes After Evaluation and Management Guideline Change.

BACKGROUND: The American Medical Association updated guidance in 2021 for frequently used billing codes for outpatient evaluation and management (E/M) visits. The intent was to account for provider time outside of face-to-face encounters and to reduce onerous documentation requirements. OBJECTIVE: To analyze E/M visit use, documentation length, and time spent in the electronic health record (EHR) before and after the guideline change. DESIGN: Observational, retrospective, pre-post study. SETTING: U.S.-based ambulatory practices using the Epic Systems EHR. PARTICIPANTS: 303 547 advanced practice providers and physicians across 389 organizations. MEASUREMENTS: Data from September 2020 through April 2021 containing weekly provider-level E/M code and EHR use metadata were extracted from the Epic Signal database. We descriptively analyzed overall and specialty-specific changes in E/M visit use, note length, and time spent in the EHR before and after the new guidelines using provider-level paired t tests. RESULTS: Following the new guidelines, level 3 visits decreased by 2.41 percentage points (95% CI, -2.48 to -2.34 percentage points) to 38.5% of all E/M visits, a 5.9% relative decrease from fall 2020. Level 4 visits increased by 0.89 percentage points (CI, 0.82 to 0.96 percentage points) to 40.9% of E/M visits, a 2.2% relative increase. Level 5 visits (the highest acuity level) increased by 1.85 percentage points (CI, 1.81 to 1.89 percentage points) to 10.1% of E/M visits, a 22.6% relative increase. These changes varied by specialty. We found no meaningful changes in measures of note length or time spent in the EHR. LIMITATION: The Epic ambulatory client base may underrepresent smaller and independent practices. CONCLUSION: Immediate changes in E/M coding contrast with null findings for changes in both note length and EHR time. Provider organizations are positioned to respond more rapidly to billing process changes than to changes in care delivery and associated EHR use behaviors. Fully realizing the intended benefits of this guideline change will require more time, facilitation, and scaling of best practices that more directly address EHR documentation practices and associated burden. PRIMARY FUNDING SOURCE: None.

The Health Information Technology special issue: continuing the progress toward digital transformation.

A letter from the guest editor highlights the significant work that remains for provider organizations to integrate digital advancement as a key strategy in addressing some of the most pressing challenges that are transforming the health care landscape.

Survey of Information Exchange and Advanced Use of Other Health Information Technology in Primary Care Settings: Capabilities In and Outside of the Safety Net.

BACKGROUND: Advanced use of health information technology (IT) functionalities can support more comprehensive, coordinated, and patient-centered primary care services. Safety net practices may benefit disproportionately from these investments, but it is unclear whether IT use in these settings has kept pace and what organizational factors are associated with varying use of these features. OBJECTIVE: The aim was to estimate advanced use of health IT use in safety net versus nonsafety net primary care practices. We explore domains of patient engagement, population health management (decision support and registries), and electronic information exchange. We examine organizational characteristics that may differentially predict advanced use of IT across these settings, with a focus on health system ownership and/or membership in an independent practice network as key factors that may indicate available incentives and resources to support these efforts. RESEARCH DESIGN: We conduct cross-sectional analysis of a national survey of physician practices (n=1776). We use logistic regression to predict advanced IT use in each of our domains based on safety net status and other organizational characteristics. We then use interaction models to assess whether ownership or network membership moderate the relationship between safety net status and advanced use of health IT. RESULTS: Health IT use was common across primary care practices, but advanced use of health IT functionalities ranged only from 30% to 50% use. Safety net settings have kept pace with adoption of features for patient engagement and population management, yet lag in information exchange capabilities compared with nonsafety net practices (odds ratio=0.52 for federally qualified health centers, P<0.001; odds ratio=0.66 for other safety net, P=0.03). However, when safety net practices are members of a health system or practice network, health IT capabilities are comparable to nonsafety net sites. CONCLUSIONS: All outpatient settings would benefit from improved electronic health record usability and implementation support that facilitates advanced use of health IT. Safety net practices, particularly those without other sources of centralized support, need targeted resources to maintain equitable access to information exchange capabilities.

Electronic Health Records as Biased Tools or Tools Against Bias: A Conceptual Model.

Policy Points Electronic health records (EHRs) are subject to the implicit bias of their designers, which risks perpetuating and amplifying that bias over time and across users. If left unchecked, the bias in the design of EHRs and the subsequent bias in EHR information will lead to disparities in clinical, organizational, and policy outcomes. Electronic health records can instead be designed to challenge the implicit bias of their users, but that is unlikely to happen unless incentivized through innovative policy. CONTEXT: Health care delivery is now inextricably linked to the use of electronic health records (EHRs), which exert considerable influence over providers, patients, and organizations. METHODS: This article offers a conceptual model showing how the design and subsequent use of EHRs can be subject to bias and can either encode and perpetuate systemic racism or be used to challenge it. Using structuration theory, the model demonstrates how a social structure, like an EHR, creates a cyclical relationship between the environment and people, either advancing or undermining important social values. FINDINGS: The model illustrates how the implicit bias of individuals, both developers and end-user clinical providers, influence the platform and its associated information. Biased information can then lead to inequitable outcomes in clinical care, organizational decisions, and public policy. The biased information also influences subsequent users, amplifying their own implicit biases and potentially compounding the level of bias in the information itself. The conceptual model is used to explain how this concern is fundamentally a matter of quality. Relying on the Donabedian model, it explains how elements of the EHR design (structure), use (process), and the ends for which it is used (outcome) can first be used to evaluate where bias may become embedded in the system itself, but then also identify opportunities to resist and actively challenge bias. CONCLUSIONS: Our conceptual model may be able to redefine and improve the value of technology to health by modifying EHRs to support more equitable data that can be used for better patient care and public policy. For EHRs to do this, further work is needed to develop measures that assess bias in structure, process, and outcome, as well as policies to persuade vendors and health systems to prioritize systemic equity as a core goal of EHRs.

Patient Portal Use, Perceptions of Electronic Health Record Value, and Self-Rated Primary Care Quality Among Older Adults: Cross-sectional Survey.

BACKGROUND: Older adults are increasingly accessing information and communicating using patient-facing portals available through their providers' electronic health record (EHR). Most theories of technology acceptance and use suggest that patients' overall satisfaction with care should be independent of their chosen level of portal engagement. However, achieving expected benefits of portal use depends on demonstrated support from providers to meet these expectations. This is especially true among older adults, who may require more guidance. However, little is known about whether misalignment of expectations around technology-facilitated care is associated with lower perceptions of care quality. OBJECTIVE: The aims of this study were to analyze whether older adults' assessment of primary care quality differs across levels of patient portal engagement and whether perceptions of how well their provider uses the EHR to support care moderates this relationship. METHODS: We conducted a cross-sectional survey analysis of 158 older adults over the age of 65 (average age 71.4 years) across Michigan using a 13-measure composite of self-assessed health care quality. Portal use was categorized as none, moderate (use of 1-3 functionalities), or extensive (use of 4-7 functionalities). EHR value perception was measured by asking respondents how they felt their doctor's EHR use improved the patient-provider relationship. RESULTS: Moderate portal users, compared to those who were extensive users, had lower estimated care quality (-0.214 on 4-point scale; P=.03). Differences between extensive portal users and nonportal users were not significant. Quality perception was only particularly low among moderate portal users with low EHR value perception; those with high EHR value perception rated quality similarly to other portal user groups. CONCLUSIONS: Older adults who are moderate portal users are the least satisfied with their care, and the most sensitive to perceptions of how well their provider uses the EHR to support the relationship. Encouraging portal use without compromising perceptions of quality requires thinking beyond patient-focused education. Achieving value from use of patient-facing technologies with older adults is contingent upon matched organizational investments that support technology-enabled care delivery. Providers and staff need policies and practices that demonstrate technology adeptness. Older adults may need more tailored signaling and accommodation for technology to be maximally impactful.

Information Sharing Practices Between US Hospitals and Skilled Nursing Facilities to Support Care Transitions.

Importance: Patient transitions from hospitals to skilled nursing facilities (SNFs) require robust information sharing. After a decade of investment in health information technology infrastructure and new incentives to promote hospital-SNF coordination in the US, the current state of information sharing at this critical transition is unknown. Objective: To measure the completeness, timeliness, and usability of information shared by hospitals when discharging patients to SNFs, and to identify relational and structural characteristics associated with better hospital-SNF information sharing. Design, Setting, and Participants: Survey of 500 SNFs from a US nationally representative sample (265 respondents representing 471 hospital-SNF pairs; response rate of 53.0%) that collected detailed data on information sharing that supports care transitions from each of the 2 hospitals from which they receive the largest volume of patient referrals. Survey administration occurred between January 2019 and March 2020. Main Outcomes and Measures: Overall assessment of information completeness, timeliness, and usability using 5-point Likert scales. Detailed measures, including (1) completeness-routine sharing of 23 specific information types; (2) timeliness-how often information arrived after the patient; and (3) usability-whether information was duplicative, extraneous, or not tailored to SNF needs. In addition, 8 relational characteristics (eg, shared staffing, collaborative meetings, and referral volume) and 10 structural characteristics (eg, size, ownership, and staffing) were assessed as potential factors associated with better information sharing. Results: Of 471 hospital-SNF pairs, 64 (13.5%) reported excellent performance on all 3 dimensions of information sharing, whereas 141 (30.0%) were at or below the mean performance on all dimensions. Social status (missing in 309 pairs [65.7%]) and behavioral status (missing in 319 pairs [67.7%]) were the most common types of missing information. Receipt of hospital information was delayed, sometimes (159 pairs [33.8%]) or often (77 pairs [16.4%]) arriving after the patient. In total, 358 pairs [76.0%] reported at least 1 usability shortcoming. Having a hospital clinician on site at the SNF was associated in multivariate analysis with more complete (odds ratio, 1.72; 95% CI, 1.07-2.78; P = .03), timely (odds ratio, 1.76; 95% CI, 1.08-2.88; P = .02), and usable (odds ratio, 1.64; 95% CI, 1.02-2.63; P = .04) information sharing. Hospital accountable care organization participation was associated with more timely information sharing (odds ratio, 1.88; 95% CI, 1.13-3.14; P = .02). Conclusions and Relevance: In this study, US SNFs reported significant shortcomings in the completeness, timeliness, and usability of information provided by hospitals to support patient transitions. These shortcomings are likely associated with a suboptimal transition experience. Shared clinicians represent a potential strategy to improve information sharing but are costly. New payment models such as accountable care organizations may offer a more scalable approach but were only associated with more timely sharing.

Measuring Primary Care Exam Length Using Electronic Health Record Data.

BACKGROUND: Physicians' time with patients is a critical input to care, but is typically measured retrospectively through survey instruments. Data collected through the use of electronic health records (EHRs) offer an alternative way to measure visit length. OBJECTIVE: To measure how much time primary care physicians spend with their patients, during each visit. RESEARCH DESIGN: We used a national source of EHR data for primary care practices, from a large health information technology company. We calculated exam length and schedule deviations based on timestamps recorded by the EHR, after implementing sequential data refinements to account for non-real-time EHR use and clinical multitasking. Observational analyses calculated and plotted the mean, median, and interquartile range of exam length and exam length relative to scheduled visit length. SUBJECTS: A total of 21,010,780 primary care visits in 2017. MEASURES: We identified primary care visits based on physician specialty. For these visits, we extracted timestamps for EHR activity during the exam. We also extracted scheduled visit length from the EHR's practice management functionality. RESULTS: After data refinements, the average primary care exam was 18.0 minutes long (SD=13.5 min). On average, exams ran later than their scheduled duration by 1.2 minutes (SD=13.5 min). Visits scheduled for 10 or 15 minutes were more likely to exceed their allotted time than visits scheduled for 20 or 30 minutes. CONCLUSIONS: Time-stamped EHR data offer researchers and health systems an opportunity to measure exam length and other objects of interest related to time.

Measures of electronic health record use in outpatient settings across vendors.

Electronic health record (EHR) log data capture clinical workflows and are a rich source of information to understand variation in practice patterns. Variation in how EHRs are used to document and support care delivery is associated with clinical and operational outcomes, including measures of provider well-being and burnout. Standardized measures that describe EHR use would facilitate generalizability and cross-institution, cross-vendor research. Here, we describe the current state of outpatient EHR use measures offered by various EHR vendors, guided by our prior conceptual work that proposed seven core measures to describe EHR use. We evaluate these measures and other reporting options provided by vendors for maturity and similarity to previously proposed standardized measures. Working toward improved standardization of EHR use measures can enable and accelerate high-impact research on physician burnout and job satisfaction as well as organizational efficiency and patient health.

Health information exchange between hospital and skilled nursing facilities not associated with lower readmissions.

OBJECTIVE: To assess whether an electronic health record (EHR) portal to enable health information exchange (HIE) between a hospital and three skilled nursing facilities (SNFs) reduced likelihood of patient readmission. SETTING/DATA: Secondary data; all discharges from a large academic medical center to SNFs between July 2013 and March 2017, combined with portal usage records from SNFs with HIE access. DESIGN: We use difference-in-differences to determine whether portal implementation reduced likelihood of readmission over time for patients discharged to HIE-enabled SNFs, relative to those discharged to nonenabled facilities. Additional descriptive analyses of audit log data characterize portal use within enabled facilities. DATA COLLECTION: Encounter-level clinical EHR data were merged with EHR audit log data that captured portal usage in the timeframe associated with a patient transition from hospital to SNF. PRINCIPAL FINDINGS: Declines in likelihood of 30-day readmission were not significantly different for patients in HIE-enabled vs control SNFs (diff-in-diff = 0.022; P = .431). We observe similar null effects with shorter readmission windows. The portal was used for 46 percent of discharges, with significant usage pattern variation within/across facilities. CONCLUSIONS: Implementation of a hospital-SNF EHR portal did not reduce readmissions from enabled SNFs. Emergent HIE use cases need to be better defined and leveraged for design and implementation that generates value in the context of postacute transitions.