Networking Aspects of the Electronic Health Records: Hypertext Transfer Protocol Version 2 (HTTP/2) vs HTTP/3.

The rapid development of the digital healthcare and the electronic health records (EHR) requires smooth networking infrastructure to access data using Hypertext Transfer Protocol (HTTP)-based applications. The new HTTP/3 standard should provide performance and security improvements over HTTP/2. The goal of our work was to test the performance of HTTP/2 and HTTP/3 in the context of the EHRs. We used 45,000 test FHIR Patient resources downloaded and uploaded using 20, 50, 100 and 200 resources per Bundle, which resulted in 2251, 901, 451 and 226 HTTP GET and POST requests respectively. The first test downloading 20 resources per Bundle showed that HTTP/3 outperformed HTTP/2 in the local (mean request time 16.57 ms ± 7.2 standard deviation [SD]) and in the remote network (71.45 ms ± 43.5 SD) which is almost 3 times faster. In the 50 and 100 resources per Bundle test the HTTP/3 protocol demonstrated again more than two times gain in downloading performance for remote requests with mean request time 91.13 ms ± 34.54 SD and 88.09 ms ± 21.66 SD respectively. Furthermore, HTTP/3 outperformed HTTP/2 in the constructed clinical dataset remote transfer. In the upload tests HTTP/3 showed only a slight gain in performance merely in the remote network. The HTTP/3 protocol is a relatively new development and a major improvement for the worldwide web. This new technology is still missing in the digital health and EHRs. Its use could offer a major performance gain in situations where data is gathered from multiple remote locations.

An innovative method to strengthen evidence for potential drug safety signals using Electronic Health Records.

Reports from spontaneous reporting systems (SRS) are hypothesis generating. Additional evidence such as more reports is required to determine whether the generated drug-event associations are in fact safety signals. However, underreporting of adverse drug reactions (ADRs) delays signal detection. Through the use of natural language processing, different sources of real-world data can be used to proactively collect additional evidence for potential safety signals. This study aims to explore the feasibility of using Electronic Health Records (EHRs) to identify additional cases based on initial indications from spontaneous ADR reports, with the goal of strengthening the evidence base for potential safety signals. For two confirmed and two potential signals generated by the SRS of the Netherlands Pharmacovigilance Centre Lareb, targeted searches in the EHR of the Leiden University Medical Centre were performed using a text-mining based tool, CTcue. The search for additional cases was done by constructing and running queries in the structured and free-text fields of the EHRs. We identified at least five additional cases for the confirmed signals and one additional case for each potential safety signal. The majority of the identified cases for the confirmed signals were documented in the EHRs before signal detection by the Dutch Medicines Evaluation Board. The identified cases for the potential signals were reported to Lareb as further evidence for signal detection. Our findings highlight the feasibility of performing targeted searches in the EHR based on an underlying hypothesis to provide further evidence for signal generation.

Developing an Ontology Representing Fall Risk Management Domain Knowledge.

Ontologies serve as comprehensive frameworks for organizing domain-specific knowledge, offering significant benefits for managing clinical data. This study presents the development of the Fall Risk Management Ontology (FRMO), designed to enhance clinical text mining, facilitate integration and interoperability between disparate data sources, and streamline clinical data analysis. By representing major entities within the fall risk management domain, the FRMO supports the unification of clinical language and decision-making processes, ultimately contributing to the prevention of falls among older adults. We used Ontology Web Language (OWL) to build the FRMO in Protégé. Of the seven steps of the Stanford approach, six steps were utilized in the development of the FRMO: (1) defining the domain and scope of the ontology, (2) reusing existing ontologies when possible, (3) enumerating ontology terms, (4) specifying the classes and their hierarchy, (5) defining the properties of the classes, and (6) defining the facets of the properties. We evaluated the FRMO using four main criteria: consistency, completeness, accuracy, and clarity. The developed ontology comprises 890 classes arranged in a hierarchical structure, including six top-level classes with a total of 43 object properties and 28 data properties. FRMO is the first comprehensively described semantic ontology for fall risk management. Healthcare providers can use the ontology as the basis of clinical decision technology for managing falls among older adults.

[Data integration centers-from a concept in the Medical Informatics Initiative to its local implementation in the Network of University Medicine]. / Die Datenintegrationszentren ­ Von der Konzeption in der Medizininformatik-Initiative zur lokalen Umsetzung in einem Netzwerk Universitätsmedizin.

As part of the Medical Informatics Initiative (MII), data integration centers (DICs) have been established at 38 university and 3 non-university locations in Germany since 2018. At DICs, research and healthcare data are collected. The DICs represent an important pillar in research and healthcare. They establish the technical, organizational, and (ethical) data protection requirements to enable cross-site research with the available routine clinical data.This article presents the three main pillars of DICs: ethical-legal framework, organization, and technology. The organization of DICs and their organizational embedding and interaction are presented, as well as the technical infrastructure. The services that a DIC provides for its own location and for external researchers are explained, and the role of the DIC as an internal and external interface for strengthening cooperation and collaboration is outlined.Legal conformity, organization, and technology form the basis for the processes and structures of a DIC and are decisive for how it is integrated into the healthcare and research landscape of a location, but also for how it can react to national and European requirements and act and function as an interface to the outside world. In this context and with regard to national developments (e.g., introduction of the electronic patient file-ePA), but also international and European initiatives (e.g., European Health Data Space-EHDS), the DIC will play a central role in the future.

Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations.

Healthcare organizations have realized that Artificial intelligence (AI) can provide a competitive edge through personalized patient experiences, improved patient outcomes, early diagnosis, augmented clinician capabilities, enhanced operational efficiencies, or improved medical service accessibility. However, deploying AI-driven tools in the healthcare ecosystem could be challenging. This paper categorizes AI applications in healthcare and comprehensively examines the challenges associated with deploying AI in medical practices at scale. As AI continues to make strides in healthcare, its integration presents various challenges, including production timelines, trust generation, privacy concerns, algorithmic biases, and data scarcity. The paper highlights that flawed business models and wrong workflows in healthcare practices cannot be rectified merely by deploying AI-driven tools. Healthcare organizations should re-evaluate root problems such as misaligned financial incentives (e.g., fee-for-service models), dysfunctional medical workflows (e.g., high rates of patient readmissions), poor care coordination between different providers, fragmented electronic health records systems, and inadequate patient education and engagement models in tandem with AI adoption. This study also explores the need for a cultural shift in viewing AI not as a threat but as an enabler that can enhance healthcare delivery and create new employment opportunities while emphasizing the importance of addressing underlying operational issues. The necessity of investments beyond finance is discussed, emphasizing the importance of human capital, continuous learning, and a supportive environment for AI integration. The paper also highlights the crucial role of clear regulations in building trust, ensuring safety, and guiding the ethical use of AI, calling for coherent frameworks addressing transparency, model accuracy, data quality control, liability, and ethics. Furthermore, this paper underscores the importance of advancing AI literacy within academia to prepare future healthcare professionals for an AI-driven landscape. Through careful navigation and proactive measures addressing these challenges, the healthcare community can harness AI's transformative power responsibly and effectively, revolutionizing healthcare delivery and patient care. The paper concludes with a vision and strategic suggestions for the future of healthcare with AI, emphasizing thoughtful, responsible, and innovative engagement as the pathway to realizing its full potential to unlock immense benefits for healthcare organizations, physicians, nurses, and patients while proactively mitigating risks.

Implementing weight maintenance with existing staff and electronic health record tools in a primary care setting: Baseline results from the MAINTAIN PRIME trial.

BACKGROUND: There is need for interventions that can assist with long-term maintenance of healthy body weight and be sustainably integrated into existing primary care teams. The goal of MAINTAIN PRIME (Promoting Real (World) IMplEmentation) is to evaluate whether a successful electronic health record (EHR)-based weight maintenance intervention can be adapted to a new clinical setting with primary care staff serving as coaches. METHODS: EHR tools include tracking tools, standardized surveys, and standardized "SmartPhrases" for coaching. Inclusion criteria were age 18-75 years, voluntary 5% weight loss in the past 2 years with prior BMI ≥ 25 kg/m2, and no bariatric procedures in past 2 years. Participants were randomized 1:1 to tailored online coaching with EHR tracking tools (coaching) or EHR tracking tools alone (tracking). RESULTS: We screened 405 individuals between September 2021 and April 2023; 269 participants enrolled (134 coaching; 135 tracking). The most common reason for not enrolling was ineligibility (55%). At baseline, participants were 50.3 (SD 15.02) years old, 66.4% female, and 84% White; 83.7% reported moderate physical activity. Average weight and BMI at baseline were 205.0 (SD 48.9) lbs. and 33.2 (6.8) kg/m2, respectively. Participants lost an average of 10.7% (SD 5.2) of their body weight before enrolling. We recruited 39 primary care coaches over the same period. Conclusion The study successfully identified and recruited primary care patients with recent intentional weight loss for participation in a weight maintenance program that uses EHR-based tools. We also successfully recruited and trained primary care staff as coaches.

The Implementation of Federated Digital Identifiers in Health Care: Rapid Review.

BACKGROUND: Federated digital identifiers (FDIs) have been cited to improve the interoperability of data and information management while enhancing the privacy of individuals verifying their identity on the web. Many countries around the world have implemented FDIs in various sectors, such as banking and government. Similarly, FDIs could improve the experience for those wanting to access their health care information; however, they have only been introduced in a few jurisdictions around the world, and their impact remains unclear. OBJECTIVE: The main objective of this environmental scan was to describe how FDIs have been established and implemented to enable patients' access to health care. METHODS: We conducted this study in 2 stages, with the primary stage being a rapid review, which was supplemented by a targeted gray literature search. Specifically, the rapid review was conducted through a database search of MEDLINE and Embase, which generated a list of countries and their services that use FDIs in health care. This list was then used to conduct a targeted gray literature search using the Google search engine. RESULTS: A total of 93 references from the database and targeted Google searches were included in this rapid review. FDIs were implemented in health care in 11 countries (Australia, Belgium, Canada, Denmark, Estonia, Finland, Iceland, Norway, Singapore, Sweden, and Taiwan) and exclusively used with a patient-accessible electronic health record system through a single sign-on interface. The most common FDIs were implemented nationally or provincially, and establishing them usually required individuals to visit a bank or government office in person. In contrast, some countries, such as Australia, allow individuals to verify their identities entirely on the web. We found that despite the potential of FDIs for use in health care to facilitate the amalgamation of health information from different data sources into one platform, the adoption of most health care services that use FDIs remained below 30%. The exception to this was Australia, which had an adoption rate of 90%, which could be correlated with the fact that it leveraged an opt-out consent model. CONCLUSIONS: This rapid review highlights key features of FDIs across regions and elements associated with higher adoption of the patient-accessible electronic health record systems that use them, like opt-out registration. Although FDIs have been reported to facilitate the collation of data from multiple sources through a single sign-on interface, there is little information on their impact on care or patient experience. If FDIs are used to their fullest potential and implemented across sectors, adoption rates within health care may also improve.

Improving Outcomes in Patients Sent to the Emergency Department from Outpatient Providers: A Receiver-Driven Handoff Process Improvement.

BACKGROUND: Outpatient providers refer to emergency departments (EDs) due to findings requiring assessment beyond existing capabilities. However, poor communication surrounding these transitions may hinder safety and timeliness of emergency care. Receiver-driven handoff (RDH) is a process that helps ensure that all pertinent information is shared. This quality improvement project aimed to (1) improve knowledge of RDH, (2) increase satisfaction and perceptions surrounding RDH, (3) modify behaviors in relation to RDH, and (4) decrease referred patients leaving without being seen (LWBS). METHODS: The Iowa Model and Implementation Framework guided this evidence-based quality improvement project. A multidisciplinary team developed and implemented a standardized RDH process consisting of screening to determine whether a patient was referred to the ED, review of electronic health record (EHR), and use of EHR documentation. Process measures were collected via questionnaire pre- and postimplementation and were analyzed quantitatively. Outcome measures were trended by a statistical process control p-chart, which was developed to demonstrate changes in the percentage of patients who were referred to the ED from the outpatient setting and LWBS. RESULTS: The average response for the question "How satisfied are you with the handoff of patient information from referring clinic providers to the ED?" increased from 1.51 preintervention to 2.04 postintervention (p = 0.005). Respondents rated the information received during handoff higher postintervention (2.12 vs. 2.52, p = 0.04). Compliance with screening for referral to the ED was 84.0%. The proportion of patients LWBS after referral decreased by 6.2 percentage points (p < 0.001). CONCLUSION: Using RDH in conjunction with a standardized triage screening may improve quality of information shared during this vulnerable transition and may assist in reduction of referred patients LWBS. The RDH process should be adapted into everyday workflow to ensure sustainability and effectiveness.

Development and Evaluation of I-PASS-to-PICU: A Standard Electronic Template to Improve Referral Communication for Interfacility Transfers to the Pediatric ICU.

BACKGROUND: Miscommunication during interfacility handoffs to a higher level of care can harm critically ill children. Adapting evidence-based handoff interventions to interfacility referral communication may prevent adverse events. The objective of this project was to develop and evaluate a standard electronic referral template (I-PASS-to-PICU) to improve communication for interfacility pediatric ICU (PICU) transfers. METHODS: I-PASS-to-PICU was iteratively developed in a single PICU. A core PICU stakeholder group collaboratively designed an electronic health record (EHR)-supported clinical note template by adapting elements from I-PASS, an evidence-based handoff program, to support information exchange between referring clinicians and receiving PICU physicians. I-PASS-to-PICU is a receiver-driven tool used by PICU physicians to guide verbal communication and electronic documentation during PICU transfer calls. The template underwent three cycles of iterative evaluation and redesign informed by individual and group interviews of multidisciplinary PICU staff, usability testing using simulated and actual referral calls, and debriefing with PICU physicians. RESULTS: Individual and group interviews with 21 PICU staff members revealed that relevant, accurate, and concise information was needed for adequate admission preparedness. Time constraints and secondhand information transmission were identified as barriers. Usability testing with six receiving PICU physicians using simulated and actual calls revealed good usability on the validated System Usability Scale (SUS), with a mean score of 77.5 (standard deviation 10.9). Fellows indicated that most fields were relevant and that the template was feasible to use. CONCLUSION: I-PASS-to-PICU was technically feasible, usable, and relevant. The authors plan to further evaluate its effectiveness in improving information exchange during real-time PICU practice.

An AI-Enhanced Electronic Health Record Could Boost Primary Care Productivity.

This Viewpoint discusses ways that artificial intelligence (AI) may improve the productivity of primary care physicians with easier and more accurate use of AI-enhanced electronic health records.

Implementation of a Web-Based Communication System for Primary Care Providers and Cancer Specialists.

Healthcare providers have reported challenges with coordinating care for patients with cancer. Digital technology tools have brought new possibilities for improving care coordination. A web- and text-based asynchronous system (eOncoNote) was implemented in Ottawa, Canada for cancer specialists and primary care providers (PCPs). This study aimed to examine PCPs' experiences of implementing eOncoNote and how access to the system influenced communication between PCPs and cancer specialists. As part of a larger study, we collected and analyzed system usage data and administered an end-of-discussion survey to understand the perceived value of using eOncoNote. eOncoNote data were analyzed for 76 shared patients (33 patients receiving treatment and 43 patients in the survivorship phase). Thirty-nine percent of the PCPs responded to the cancer specialist's initial eOncoNote message and nearly all of those sent only one message. Forty-five percent of the PCPs completed the survey. Most PCPs reported no additional benefits of using eOncoNote and emphasized the need for electronic medical record (EMR) integration. Over half of the PCPs indicated that eOncoNote could be a helpful service if they had questions about a patient. Future research should examine opportunities for EMR integration and whether additional interventions could support communication between PCPs and cancer specialists.

Medical Record Closure Practices of Physicians Before and After the Use of Medical Scribes.

This study uses electronic health record data to evaluate medical record closure outcomes before and after the use of medical scribes at a large academic medical center.

A data flow process for confidential data and its application in a health research project.

BACKGROUND: The use of linked healthcare data in research has the potential to make major contributions to knowledge generation and service improvement. However, using healthcare data for secondary purposes raises legal and ethical concerns relating to confidentiality, privacy and data protection rights. Using a linkage and anonymisation approach that processes data lawfully and in line with ethical best practice to create an anonymous (non-personal) dataset can address these concerns, yet there is no set approach for defining all of the steps involved in such data flow end-to-end. We aimed to define such an approach with clear steps for dataset creation, and to describe its utilisation in a case study linking healthcare data. METHODS: We developed a data flow protocol that generates pseudonymous datasets that can be reversibly linked, or irreversibly linked to form an anonymous research dataset. It was designed and implemented by the Comprehensive Patient Records (CPR) study in Leeds, UK. RESULTS: We defined a clear approach that received ethico-legal approval for use in creating an anonymous research dataset. Our approach used individual-level linkage through a mechanism that is not computer-intensive and was rendered irreversible to both data providers and processors. We successfully applied it in the CPR study to hospital and general practice and community electronic health record data from two providers, along with patient reported outcomes, for 365,193 patients. The resultant anonymous research dataset is available via DATA-CAN, the Health Data Research Hub for Cancer in the UK. CONCLUSIONS: Through ethical, legal and academic review, we believe that we contribute a defined approach that represents a framework that exceeds current minimum standards for effective pseudonymisation and anonymisation. This paper describes our methods and provides supporting information to facilitate the use of this approach in research.

Minnesota Electronic Health Record Consortium COVID-19 Project: Informing Pandemic Response Through Statewide Collaboration Using Observational Data.

OBJECTIVE: Robust disease and syndromic surveillance tools are underdeveloped in the United States, as evidenced by limitations and heterogeneity in sociodemographic data collection throughout the COVID-19 pandemic. To monitor the COVID-19 pandemic in Minnesota, we developed a federated data network in March 2020 using electronic health record (EHR) data from 8 multispecialty health systems. MATERIALS AND METHODS: In this serial cross-sectional study, we examined patients of all ages who received a COVID-19 polymerase chain reaction test, had symptoms of a viral illness, or received an influenza test from January 3, 2016, through November 7, 2020. We evaluated COVID-19 testing rates among patients with symptoms of viral illness and percentage positivity among all patients tested, in aggregate and by zip code. We stratified results by patient and area-level characteristics. RESULTS: Cumulative COVID-19 positivity rates were similar for people aged 12-64 years (range, 15.1%-17.6%) but lower for adults aged ≥65 years (range, 9.3%-10.7%). We found notable racial and ethnic disparities in positivity rates early in the pandemic, whereas COVID-19 positivity was similarly elevated across most racial and ethnic groups by the end of 2020. Positivity rates remained substantially higher among Hispanic patients compared with other racial and ethnic groups throughout the study period. We found similar trends across area-level income and rurality, with disparities early in the pandemic converging over time. PRACTICE IMPLICATIONS: We rapidly developed a distributed data network across Minnesota to monitor the COVID-19 pandemic. Our findings highlight the utility of using EHR data to monitor the current pandemic as well as future public health priorities. Building partnerships with public health agencies can help ensure data streams are flexible and tailored to meet the changing needs of decision makers.

Motivations and Barriers Toward Implementation of a Rectal Cancer Synoptic Operative Report: A Process Evaluation.

BACKGROUND: The use of synoptic reporting has been shown to improve documentation of critical information and provide added value related to data access and extraction, data reliability, relevant detail, and completeness of information. Surgeon acceptance and adoption of synoptic reports has lagged behind other specialties. OBJECTIVE: This study aimed to evaluate the process of implementing a synoptic operative report. DESIGN: This study was a mixed-methods process evaluation including surveys and qualitative interviews. SETTINGS: This study focused on colorectal surgery practices across the United States. PATIENTS: Twenty-eight board-certified colorectal surgeons were included. INTERVENTIONS: The synoptic operative report for rectal cancer was implemented. MAIN OUTCOME MEASURES: Acceptability, feasibility, and usability were measured by Likert-type survey questions and followed up with individual interviews to elicit experiences with implementation as well as motivations and barriers to use. RESULTS: Among all study participants, 28 surgeons completed the electronic survey (76% response rate) and 21 (57%) completed the telephone interview. Mean usability was 4.14 (range, 1-5; SE, 0.15), mean feasibility was 3.90 (SE, 0.15), and acceptability was 3.98 (SE, 0.18). Participants indicated that substantial administrative and technical support were necessary but not always available for implementation, and many were frustrated by the need to change their workflow. LIMITATIONS: Most surgeon participants were male, white, had >12 years in practice, and used Epic electronic medical record systems. Therefore, they may not represent the perspectives of all US colon and rectal surgeons. In addition, as the synoptic operative report is implemented more broadly across the United States, it will be important to consider variations in the process by electronic medical record system. CONCLUSIONS: The synoptic operative report for rectal cancer was easy to implement and incorporate into workflow, in general, but surgeons remained concerned about additional burden without immediate and tangible value. Despite recognizing benefits, many participants indicated they only implemented the synoptic operative report because it was mandated by the National Accreditation Program for Rectal Cancer. See Video Abstract at http://links.lww.com/DCR/B735MOTIVACIONES Y BARRERAS HACIA LA IMPLEMENTACIÓN DE UN INFORME OPERATIVO SINÓPTICO DE CÁNCER RECTAL: UNA EVALUACIÓN DEL PROCESOANTECEDENTES:Se ha demostrado que el uso de informes sinópticos mejora la documentación de información crítica y proporciona un valor agregado relacionado con el acceso y extracción de datos, la confiabilidad de los datos, los detalles relevantes y la integridad de la información. La aceptación y adopción de informes sinópticos por parte de los cirujanos se ha quedado rezagada con respecto a otras especialidades.OBJETIVO:Evaluar el proceso de implementación de un informe operativo sinóptico.DISEÑO:Evaluación de procesos de métodos mixtos que incluyen encuestas y entrevistas cualitativas.AJUSTES:Prácticas de cirugía colorrectal en los Estados Unidos.PACIENTES:Veintiocho cirujanos colorrectales certificados por la junta.INTERVENCIONES:Implementación del informe operatorio sinóptico de cáncer de recto.PRINCIPALES MEDIDAS DE RESULTADO:Aceptabilidad, viabilidad y usabilidad medidas por preguntas de encuestas tipo Likert y seguidas con entrevistas individuales para obtener experiencias con la implementación, así como motivaciones y barreras para el uso.RESULTADOS:Entre todos los participantes del estudio, 28 cirujanos completaron la encuesta electrónica (tasa de respuesta del 76%) y 21 (57%) completaron la entrevista telefónica. La usabilidad media fue 4,14 (rango = 1-5, error estándar (EE) = 0,15), la factibilidad media fue 3,90 (EE = 0,15) y la aceptabilidad fue 3,98 (EE = 0,18). Los participantes indicaron que se necesitaba un apoyo administrativo y técnico sustancial, pero que no siempre estaba disponible para la implementación y muchos se sintieron frustrados por la necesidad de cambiar su flujo de trabajo.LIMITACIONES:La mayoría de los cirujanos participantes eran hombres, blancos, tenían >12 años en la práctica y usaban sistemas de registros médicos electrónicos de Epic. Por lo tanto, es posible que no representen las perspectivas de todos los cirujanos de colon y recto de EE. UU. Además, a medida que el informe operativo sinóptico se implemente de manera más amplia en los EE. UU., Será importante considerar las variaciones en el proceso por sistema EMR.CONCLUSIONES:El informe quirúrgico sinóptico para el cáncer de recto fue en general fácil de implementar e incorporar en el flujo de trabajo, pero los cirujanos seguían preocupados por la carga adicional sin valor inmediato y tangible. A pesar de reconocer los beneficios, muchos participantes indicaron que solo implementaron el informe operativo sinóptico porque era un mandato del Programa Nacional de Acreditación para el Cáncer de Recto. Consulte Video Resumen en http://links.lww.com/DCR/B735 (Traducción-Dr. Xavier Delgadillo).

COVID-19 Pandemic Impact on the National Health Care Surveys.

While underscoring the need for timely, nationally representative data in ambulatory, hospital, and long-term-care settings, the COVID-19 pandemic posed many challenges to traditional methods and mechanisms of data collection. To continue generating data from health care and long-term-care providers and establishments in the midst of the COVID-19 pandemic, the National Center for Health Statistics had to modify survey operations for several of its provider-based National Health Care Surveys, including quickly adding survey questions that captured the experiences of providing care during the pandemic. With the aim of providing information that may be useful to other health care data collection systems, this article presents some key challenges that affected data collection activities for these national provider surveys, as well as the measures taken to minimize the disruption in data collection and to optimize the likelihood of disseminating quality data in a timely manner. (Am J Public Health. 2021;111(12):2141-2148. https://doi.org/10.2105/AJPH.2021.306514).

The Use of Medical Scribes in Primary Care Settings: A Literature Synthesis.

BACKGROUND: Clerical burdens have strained primary care providers already facing a shifting health care landscape and workforce shortages. These pressures may cause burnout and job dissatisfaction, with negative implications for patient care. Medical scribes, who perform real-time electronic health record documentation, have been posited as a solution to relieve clerical burdens, thus improving provider satisfaction and other outcomes. OBJECTIVE: The purpose of this study is to identify and synthesize the published research on medical scribe utilization in primary care and safety net settings. RESEARCH DESIGN: We conducted a review of the literature to identify outcomes studies published between 2010 and 2020 assessing medical scribe utilization in primary care settings. Searches were conducted in PubMed and supplemented by a review of the gray literature. Articles for inclusion were reviewed by the study authors and synthesized based on study characteristics, medical scribe tasks, and reported outcomes. RESULTS: We identified 21 publications for inclusion, including 5 that examined scribes in health care safety net settings. Scribe utilization was consistently reported as being associated with improved productivity and efficiency, provider experience, and documentation quality. Findings for patient experience were mixed. CONCLUSIONS: Published studies indicate scribe utilization in primary care may improve productivity, clinic and provider efficiencies, and provider experience without diminishing the patient experience. Further large-scale research is needed to validate the reliability of study findings and assess additional outcomes, including how scribes enhance providers' ability to advance health equity.