Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions.

Electronic health records (EHRs) offer decision support in the form of alerts, which are often though not always interruptive. These alerts, though sometimes effective, can come at the cost of high cognitive burden and workflow disruption. Less well studied is the design of the EHR itself-the ordering provider's "choice architecture"-which "nudges" users toward alternatives, sometimes unintentionally toward waste and misuse, but ideally intentionally toward better practice. We studied 3 different workflows at our institution where the existing choice architecture was potentially nudging providers toward erroneous decisions, waste, and misuse in the form of inappropriate laboratory work, incorrectly specified computerized tomographic imaging, and excessive benzodiazepine dosing for imaging-related sedation. We changed the architecture to nudge providers toward better practice and found that the 3 nudges were successful to varying degrees in reducing erroneous decision-making and mitigating waste and misuse.

Protecting reproductive health information in the post-Roe era: interoperability strategies for healthcare institutions.

On June 24, 2022, the US Supreme Court ended constitutional protections for abortion, resulting in wide variability in access from severe restrictions in many states and fewer restrictions in others. Healthcare institutions capture information about patients' pregnancy and abortion care and, due to interoperability, may share it in ways that expose their providers and patients to social stigma and potential legal jeopardy in states with severe restrictions. In this article, we describe sources of risk to patients and providers that arise from interoperability and specify actions that institutions can take to reduce that risk. Institutions have significant power to define their practices for how and where care is documented, how patients are identified, where data are sent or hosted, and how patients are counseled, and thus should protect patients' privacy and ability to receive medical care that is safe and legal where it is performed.

A single center evaluation of applicant experiences in virtual interviews across eight internal medicine subspecialty fellowship programs.

Due to the COVID-19 pandemic, most graduate medical education (GME) training programs conducted virtual interviews for prospective trainees during the 2020-2021 application cycle. Many internal medicine (IM) subspecialty fellowship programs hosted virtual interviews for the first time with little published data to guide best practices.To evaluate how IM subspecialty fellowship applicants perceived the virtual interview day experience.We designed a 38-item questionnaire that was sent via email to applicants in eight IM subspecialty programs at a single tertiary academic medical center (University of California, San Francisco) from September-November, 2020.Seventy-five applicants completed the survey (75/244, 30.7%), including applicants from all eight fellowship programs. Most survey respondents agreed that the length of the virtual interview day (mean = 6.4 hours) was long enough to gather the information they needed (n = 65, 86.7%) and short enough to prevent fatigue (n = 55, 73.3%). Almost all survey respondents agreed that they could adequately assess the clinical experience (n = 71, 97.3%), research opportunities (n = 72, 98.6%), and program culture (n = 68, 93.2%). Of the respondents who attended a virtual educational conference, most agreed it helped to provide a sense of the program's educational culture (n = 20, 66.7%). Areas for improvement were identified, with some survey respondents reporting that the virtual interview day was too long (n = 11) or that they would have preferred to meet more fellows (n = 10).Survey respondents indicated that the virtual interview was an adequate format to learn about fellowship programs. These findings can inform future virtual interviews for GME training programs.

Completeness and quality of text paging for subspecialty consult requests.

It is unclear whether previously developed frameworks for effective consultation apply to requests initiated by alphanumeric text page. We assessed a random sample of 210 text paged consult requests for communication of previously described 'essential elements' for effective consultation: reason for consult, level of urgency and requester contact information. Overall page quality was evaluated on a 5-point Likert scale. Over 90% of text paged consult requests included contact information and reason for consult; 14% indicated level of urgency. In ordinal logistic regression, reason for consult was most strongly associated with quality (OR 22.4; 95% CI 8.1 to 61.7), followed by callback number (OR 6.2; 95% CI 0.8 to 49.5), caller's name (OR 5.0; 95% CI 1.9 to 13.1) and level of urgency (OR 3.3; 95% CI 1.6 to 6.7). Results suggest that text paged consult requests often include most informational elements, and that urgency, often missing, may not be as 'essential' for text pages as it was once thought to be.

Electronic Order Volume as a Meaningful Component in Estimating Patient Complexity and Resident Physician Workload.

BACKGROUND: Though patient census has been used to describe resident physician workload, this fails to account for variations in patient complexity. Changes in clinical orders captured through electronic health records may provide a complementary window into workload. We aimed to determine whether electronic order volume correlated with measures of patient complexity and whether higher order volume was associated with quality metrics. METHODS: In this retrospective study of admissions to the internal medicine teaching service of an academic medical center in a 13-month period, we tested the relationship between electronic order volume and patient level of care and severity of illness category. We used multivariable logistic regression to examine the association between daily team orders and two discharge-related quality metrics (receipt of a high-quality patient after-visit summary (AVS) and timely discharge summary), adjusted for team census, patient severity of illness, and patient demographics. RESULTS: Our study included 5,032 inpatient admissions for whom 929,153 orders were entered. Mean daily order volume was significantly higher for patients in the intensive care unit than in step-down units and general medical wards (40 vs. 24 vs. 19, P < .001). Order volume was also significantly correlated with severity of illness (P < .001). Patients were 12% less likely to receive a timely discharge summary for every 100 additional team orders placed on the day prior to discharge (OR 0.88; 95% CI 0.82-0.95). CONCLUSIONS: Electronic order volume is significantly associated with patient complexity and may provide valuable additional information in measuring resident physician workload.

Predictive value of the present-on-admission indicator for hospital-acquired venous thromboembolism.

BACKGROUND: Hospital-acquired venous thromboembolic (HA-VTE) events are an important, preventable cause of morbidity and death, but accurately identifying HA-VTE events requires labor-intensive chart review. Administrative diagnosis codes and their associated "present-on-admission" (POA) indicator might allow automated identification of HA-VTE events, but only if VTE codes are accurately flagged "not present-on-admission" (POA=N). New codes were introduced in 2009 to improve accuracy. METHODS: We identified all medical patients with at least 1 VTE "other" discharge diagnosis code from 5 academic medical centers over a 24-month period. We then sampled, within each center, patients with VTE codes flagged POA=N or POA=U (insufficient documentation) and POA=Y or POA=W (timing clinically uncertain) and abstracted each chart to clarify VTE timing. All events that were not clearly POA were classified as HA-VTE. We then calculated predictive values of the POA=N/U flags for HA-VTE and the POA=Y/W flags for non-HA-VTE. RESULTS: Among 2070 cases with at least 1 "other" VTE code, we found 339 codes flagged POA=N/U and 1941 flagged POA=Y/W. Among 275 POA=N/U abstracted codes, 75.6% (95% CI, 70.1%-80.6%) were HA-VTE; among 291 POA=Y/W abstracted events, 73.5% (95% CI, 68.0%-78.5%) were non-HA-VTE. Extrapolating from this sample, we estimated that 59% of actual HA-VTE codes were incorrectly flagged POA=Y/W. POA indicator predictive values did not improve after new codes were introduced in 2009. CONCLUSIONS: The predictive value of VTE events flagged POA=N/U for HA-VTE was 75%. However, sole reliance on this flag may substantially underestimate the incidence of HA-VTE.

Tablet computers for hospitalized patients: a pilot study to improve inpatient engagement.

Inadequate patient engagement in hospital care inhibits high-quality care and successful transitions to home. Tablet computers may provide opportunities to engage patients, particularly during inactive times between provider visits, tests, and treatments, by providing interactive health education modules as well as access to their personal health record (PHR). We conducted a pilot project to explore inpatient satisfaction with bedside tablets and barriers to usability. Additionally, we evaluated use of these devices to deliver 2 specific Web-based programs: (1) an interactive video to improve inpatient education about hospital safety, and (2) PHR access to promote inpatient engagement in discharge planning. We enrolled 30 patients; 17 (60%) were aged 40 years or older, 17 (60%) were women, 17 (60%) owned smartphones, and 6 (22%) owned tablet computers. Twenty-seven (90%) reported high overall satisfaction with the device, and 26 (87%) required ≤ 30 minutes for basic orientation (70% required ≤ 15 minutes). Twenty-five (83%) independently completed an interactive educational module on hospital patient safety. Twenty-one (70%) accessed their personal health record (PHR) to view their medication list, verify scheduled appointments, or send a message to their primary care physician. Next steps include education on high-risk medications, assessment of discharge barriers, and training clinical staff (such as respiratory therapists, registered nurses, or nurse practitioners) to deliver tablet interventions.

Performance of an online translation tool when applied to patient educational material.

BACKGROUND: Language barriers may prevent clinicians from tailoring patient educational material to the needs of individuals with limited English proficiency. Online translation tools could fill this gap, but their accuracy is unknown. We evaluated the accuracy of an online translation tool for patient educational material. METHODS: We selected 45 sentences from a pamphlet available in both English and Spanish, and translated it into Spanish using GoogleTranslate™ (GT). Three bilingual Spanish speakers then performed a blinded evaluation on these 45 sentences, comparing GT-translated sentences to those translated professionally, along four domains: fluency (grammatical correctness), adequacy (information preservation), meaning (connotation maintenance), and severity (perceived dangerousness of an error if present). In addition, evaluators indicated whether they had a preference for either the GT-translated or professionally translated sentences. RESULTS: The GT-translated sentences had significantly lower fluency scores compared to the professional translation (3.4 vs. 4.7, P < 0.001), but similar adequacy (4.2 vs. 4.5, P = 0.19) and meaning (4.5 vs. 4.8, P = 0.29) scores. The GT-translated sentences were more likely to have any error (39% vs. 22%, P = 0.05), but not statistically more likely to have a severe error (4% vs. 2%, P = 0.61). Evaluators preferred the professional translation for complex sentences, but not for simple ones. DISCUSSION: When applied to patient educational material, GT performed comparably to professional human translation in terms of preserving information and meaning, though it was slightly worse in preserving grammar. In situations where professional human translations are unavailable or impractical, online translation may someday fill an important niche.