Problem-oriented documentation: design and widespread adoption of a novel toolkit in a commercial electronic health record.

Background: Problem-oriented documentation is an accepted method of note construction which facilitates clinical thought processes. However, problem-oriented documentation is challenging to put into practice using commercially available electronic health record (EHR) systems. Objective: Our goal was to create, iterate, and distribute a problem-oriented documentation toolkit within a commercial EHR that maximally supported clinicians' thinking, was intuitive to use, and produced clear documentation. Materials and Methods: We used an iterative design process that stressed visual simplicity, data integration, a predictable interface, data reuse, and clinician efficiency. Creation of the problem-oriented documentation toolkit required the use of EHR-provided tools and custom programming. Results: We developed a problem-oriented documentation interface with a 3-column view showing (1) a list of visit diagnoses, (2) the current overview and assessment and plan for a selected diagnosis, and (3) a list of medications, labs, data, and orders relevant to that diagnosis. We also created a series of macros to bring information collected through the interface into clinicians' notes. This toolkit was put into a live environment in February 2019. Over the first 9 months, the custom problem-oriented documentation toolkit was used in a total of 8385 discrete visits by 28 clinicians in 13 ambulatory departments. After 9 months, the go-live education and EHR optimization teams in our health system began promoting the toolkit to new and existing users of our EHR resulting in a significantly increased uptake by outpatient clinicians. In April 2022 alone, the toolkit was used in more than 92 000 ambulatory visits by 894 users in 271 departments across our health system. Conclusions: As a health-system client of a commercial EHR, we developed and deployed a revised problem-oriented documentation toolkit that is used by clinicians more than 92 000 times a month. Key success elements include an emphasis on usability and an effective training effort.

Improving Tobacco Cessation Rates Using Inline Clinical Decision Support.

BACKGROUND: Tobacco use is a significant cause of morbidity and mortality in the United States. Even brief advice from a clinician can significantly influence cessation rates among tobacco users, but clinicians often miss opportunities to provide this simple intervention. OBJECTIVES: The intent of this quality improvement project was to increase tobacco cessation among tobacco users by nudging clinicians using a clinical decision support (CDS) tool. METHODS: We developed a CDS tool using principles of user-centered design and the CDS Five Rights to dynamically insert actionable information about current tobacco users into the Assessment and Plan section of clinicians' notes. We conducted a retrospective analysis of patients at four primary care practices in the Denver Metro area evaluating the impact of the CDS tool on time to tobacco cessation. A multivariable Cox proportional-hazards model was used in this determination. Kaplan-Meier curves were used to estimate tobacco cessation probabilities at 90, 180, and 365 days. RESULTS: We analyzed 5,644 patients with a median age of 45 years, most of whom lived in an urban location (99.5%) and the majority of whom were males (60%). The median follow-up time for patients was 16 months. After adjustment for age, gender, practice site, and patient location (rural, urban), the intervention group had significantly greater risk of tobacco cessation compared to those in the control group (hazard ratio: 1.22, 95% confidence interval: 1.08-1.36; p = 0.001). CONCLUSION: This study suggests a CDS intervention which respects the CDS Five Rights and incorporates user-centered design can affect tobacco use rates. Future work should expand the target population of this CDS tool and continue a user-centered, iterative design process.

Ambulatory Clinician's Guide to Inpatient Service: An Innovative Rapid Onboarding Strategy for the COVID-19 Pandemic.

BACKGROUND AND SIGNIFICANCE: When hospitals are subject to prolonged surges in patients, such as during the coronavirus disease 2019 (COVID-19) pandemic, additional clinicians may be needed to care for the rapid increase of acutely ill patients. How might we quickly prepare a large number of ambulatory-based clinicians to care for hospitalized patients using the inpatient workflow of the electronic health record (EHR)? OBJECTIVES: The aim of the study is to create a successful training intervention which prepares ambulatory-based clinicians as they transition to inpatient services. METHODS: We created a training guide with embedded videos that describes the workflow of an inpatient clinician. We delivered this intervention via an e-mail hyperlink, a static hyperlink inside of the EHR, and an on-demand hyperlink within the EHR. RESULTS: In anticipation of the first peak of inpatients with COVID-19 in April 2020, the training manual was accessed 261 times by 167 unique users as clinicians anticipated being called into service. As our institution has not yet needed to deploy ambulatory-based clinicians for inpatient service, usage data of the training document is still pending. CONCLUSION: We intend that our novel implementation of a multimedia, highly accessible onboarding document with access from points inside and outside of the EHR will improve clinician performance and serve as a helpful example to other organizations during the COVID-19 pandemic and beyond.

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.

The human complement receptor type 2 (CR2)/CR1 fusion protein TT32, a novel targeted inhibitor of the classical and alternative pathway C3 convertases, prevents arthritis in active immunization and passive transfer mouse models.

Complement activation in human diseases is characterized by the local covalent deposition of the long-lived C3 fragments iC3b/C3dg/C3d. Previously, TT30, a complement alternative pathway (AP)-selective inhibitor, was designed as a fusion protein linking the first four short consensus repeats (SCRs) of human complement receptor type 2 (CR2) with the first five SCRs of human factor H (fH). TT30 acts by utilizing CR2 SCR1-4 to bind the initially formed iC3b/C3dg/C3d fragments and delivering surface-targeted inhibition of AP C3 and C5 convertases through fH SCR 1-5. In order to combine classical (CP) and lectin (LP) pathway inhibitory abilities employing CR2-mediated targeting, TT32 was developed. TT32 is a CR2-CR1 fusion protein using the first ten SCRs of CR1, chosen because they contain both C3 and C5 convertase inhibitory activity through utilization of decay-acceleration and cofactor activity for both AP and CP. In Wieslab assays, TT32 showed potent inhibition of the CP and AP with IC50 of 11 and 46 nM, respectively. The TT32 inhibitory activity is partially blocked with a molar excess of a competing anti-CR2 mAb, thus demonstrating the importance of the CR2 targeting. TT32 was studied in the type II (CII) collagen-induced arthritis (CIA), an active immunization model, and the CII antibody-induced arthritis (CAIA) passive transfer model. In CIA, injection of 2.0 mg TT32 at day 21 and 28 post disease induction, but not untargeted CR1 alone, resulted in a 51.5% decrease in clinical disease activity (CDA). In CAIA, treatment with TT32 resulted in a 47.4% decrease in CDA. Therefore, a complement inhibitor that targets both the AP and CP/LP C3/C5 convertases was shown to limit complement-mediated tissue damage and inflammation in disease models in which all three complement activation pathways are implicated.

A high density CHO-S transient transfection system: Comparison of ExpiCHO and Expi293.

Chinese Hamster Ovary (CHO) cells are the principal mammalian host used for stable cell line generation and biotherapeutic protein production. Until recently, production of milligrams to grams of protein in CHO transient systems was challenging. As such, Human Embryonic Kidney (HEK293) cells are the most common mammalian cell type used for transient transfection. The post-translational modifications (PTMs) of a protein are dictated in part by the cell line used for expression, and changes in PTMs have been shown to affect both the activity and biophysical properties of proteins. Therefore, it is potentially advantageous to keep the host cell type consistent throughout drug discovery and development. To this end, we compared the ExpiCHO system, a high density CHO-S transient transfection system, to the Expi293 and FreeStyle MAX CHO transient systems. Fourteen proteins were expressed in both the Expi293 and ExpiCHO systems. For a majority of proteins tested, the protein titers observed with the ExpiCHO system were higher than those seen with both the FreeStyle MAX CHO and Expi293 systems. Antibodies expressed using the ExpiCHO system had glycosylation patterns more similar to antibodies produced in stable CHO cell lines than Expi293-derived antibodies. However, culture duration and temperature were found to affect protein titer, monodispersity, enzyme activity, and PTMs and should be carefully selected when using the ExpiCHO system. The ExpiCHO transient transfection systems allows for facile production of milligrams to grams of protein in CHO cells and de-risks the transition from transient to stable material during drug development.

Notifications of hospital events to outpatient clinicians using health information exchange: a post-implementation survey.

BACKGROUND: The trend towards hospitalist medicine can lead to disjointed patient care. Outpatient clinicians may be unaware of patients' encounters with a disparate healthcare system. Electronic notifications to outpatient clinicians of patients' emergency department (ED) visits and inpatient admissions and discharges using health information exchange can inform outpatient clinicians of patients' hospital-based events. OBJECTIVE: Assess outpatient clinicians' impressions of a new, secure messaging-based, patient event notification system. METHODS: Twenty outpatient clinicians receiving notifications of hospital-based events were recruited and 14 agreed to participate. Using a semi-structured interview, clinicians were asked about their use of notifications and the impact on their practices. RESULTS: Nine of 14 interviewed clinicians (64%) thought that without notifications, they would have heard about fewer than 10% of ED visits before the patient's next visit. Nine clinicians (64%) thought that without notifications, they would have heard about fewer than 25% of inpatient admissions and discharges before the patient's next visit. Six clinicians (43%) reported that they call the inpatient team more often because of notifications. Eight users (57%) thought that notifications improved patient safety by increasing their awareness of the patients' clinical events and their medication changes. Key themes identified were the importance of workflow integration and a desire for more clinical information in notifications. CONCLUSIONS: The notification system is perceived by clinicians to be of value. These findings should instigate further message-oriented use of health information exchange and point to refinements that can lead to even greater benefits.

A systematic review of the performance characteristics of clinical event monitor signals used to detect adverse drug events in the hospital setting.

OBJECTIVE: Despite demonstrated benefits, few healthcare organizations have implemented clinical event monitors to detect adverse drug events (ADEs). The objective of this study was to conduct a systematic review of pharmacy and laboratory signals used by clinical event monitors to detect ADEs in hospitalized adults. DESIGN: We performed a comprehensive search of MEDLINE, CINHAL and EMBASE to identify studies published between 1985 through 2006. Studies were included if they: described a clinical event monitor to detect ADEs in an adult hospital setting; described laboratory or pharmacy ADE signals; and, provided positive predictive values (PPVs) or information to allow the calculation of PPVs for individual ADE signals. MEASUREMENTS: We calculated overall estimates of PPVs and 95% confidence intervals (CIs) for signals reported in 2 or more studies and contained no evidence heterogeneity. Results were examined by signal category: medication levels, laboratory tests, or antidotes. RESULTS: We identified 12 observational studies describing 36 unique ADE signals. Fifteen signals (3 antidotes, 4 medication levels, and 8 laboratory values) contained no evidence of heterogeneity. The pooled PPVs for these individual signals ranged from 0.03 [CI=0.03-0.03] for hypokalemia, to 0.50 [CI=0.39-0.61] for supratherapeutic quinidine level. In general, antidotes (range=0.09-0.11) had the lowest PPVs, followed by laboratory values (0.03-0.27), and medication levels (0.03-0.50). CONCLUSION: Results from this study should help clinical information system and computerized decision support producers develop or improve existing clinical event monitors to detect ADEs in their own hospitals by prioritizing those signals with the highest PPVs [corrected]

Renal urologic anomalies presenting in adult identical twins.

Two sets of identical adult twins recently presented to our hospital. In one case, the patients demonstrated (ipsilateral) renal agenesis. In the other, the patients presented approximately one year apart with symptomatic (ipsilateral) ureteropelvic junction obstructions. Although the literature suggests a few reports of this type in the pediatric and newborn population, the authors are unaware of similar reports in adults.