Access to Healthcare Among US Adult Refugees: A Systematic Qualitative Review.

Refugees encounter numerous healthcare access barriers in host countries, leading to lower utilization rates and poorer health outcomes. In the US, social inequities and fragmented health systems may exacerbate these disparities. Understanding these factors is necessary to ensure equitable care of refugee populations. A systematic literature review of qualitative studies on US adult refugee healthcare access from January 2000 to June 2021 was performed in accordance with PRISMA. Studies were analyzed deductively and then inductively to incorporate previous findings in other resettlement countries and emergence of US-specific themes. 64 articles representing 16+ countries of origin emerged from the final analysis, yielding nine interrelated themes related to health literacy, cost of services, cultural beliefs, and social supports, among others. The main challenges to refugees' healthcare access emerge from the interactions of care fragmentation with adverse social determinants. Given diverse barriers, integrated care models are recommended in treating refugee populations.

Identifying Nursing Home Residents with Unmet Palliative Care Needs: A Systematic Review of Screening Tool Measurement Properties.

OBJECTIVES: Despite common use of palliative care screening tools in other settings, the performance of these tools in the nursing home has not been well established; therefore, the purpose of this review is to (1) identify palliative care screening tools validated for nursing home residents and (2) critically appraise, compare, and summarize the quality of measurement properties. DESIGN: Systematic review of measurement properties consistent with Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) guidelines. SETTINGS AND PARTICIPANTS: Embase (Ovid), MEDLINE (PubMed), CINAHL (EBSCO), and PsycINFO (Ovid) were searched from inception to May 2022. Studies that (1) reported the development or evaluation of a palliative care screening tool and (2) sampled older adults living in a nursing home were included. METHODS: Two reviewers independently screened, selected, extracted data, and assessed risk of bias. RESULTS: We identified only 1 palliative care screening tool meeting COSMIN criteria, the NECesidades Paliativas (NEC-PAL, equivalent to palliative needs in English), but evidence for use with nursing home residents was of low quality. The NEC-PAL lacked robust testing of measurement properties such as reliability, sensitivity, and specificity in the nursing home setting. Construct validity through hypothesis testing was adequate but only reported in 1 study. Consequently, there is insufficient evidence to guide practice. Broadening the criteria further, this review reports on 3 additional palliative care screening tools identified during the search and screening process but which were excluded during full-text review for various reasons. CONCLUSION AND IMPLICATIONS: Given the unique care environment of nursing homes, we recommend future studies to validate available tools and develop new instruments specifically designed for nursing home use. In the meantime, we recommend that clinicians consider the evidence presented here and choose a screening instrument that best meets their needs.

Smart Glasses for Supporting Distributed Care Work: Systematic Review.

BACKGROUND: Over the past 2 decades, various desktop and mobile telemedicine systems have been developed to support communication and care coordination among distributed medical teams. However, in the hands-busy care environment, such technologies could become cumbersome because they require medical professionals to manually operate them. Smart glasses have been gaining momentum because of their advantages in enabling hands-free operation and see-what-I-see video-based consultation. Previous research has tested this novel technology in different health care settings. OBJECTIVE: The aim of this study was to review how smart glasses were designed, used, and evaluated as a telemedicine tool to support distributed care coordination and communication, as well as highlight the potential benefits and limitations regarding medical professionals' use of smart glasses in practice. METHODS: We conducted a literature search in 6 databases that cover research within both health care and computer science domains. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology to review articles. A total of 5865 articles were retrieved and screened by 3 researchers, with 21 (0.36%) articles included for in-depth analysis. RESULTS: All of the reviewed articles (21/21, 100%) used off-the-shelf smart glass device and videoconferencing software, which had a high level of technology readiness for real-world use and deployment in care settings. The common system features used and evaluated in these studies included video and audio streaming, annotation, augmented reality, and hands-free interactions. These studies focused on evaluating the technical feasibility, effectiveness, and user experience of smart glasses. Although the smart glass technology has demonstrated numerous benefits and high levels of user acceptance, the reviewed studies noted a variety of barriers to successful adoption of this novel technology in actual care settings, including technical limitations, human factors and ergonomics, privacy and security issues, and organizational challenges. CONCLUSIONS: User-centered system design, improved hardware performance, and software reliability are needed to realize the potential of smart glasses. More research is needed to examine and evaluate medical professionals' needs, preferences, and perceptions, as well as elucidate how smart glasses affect the clinical workflow in complex care environments. Our findings inform the design, implementation, and evaluation of smart glasses that will improve organizational and patient outcomes.

Effects of a QI intervention on pediatric asthma treatment using patient outcomes and workflow in an emergency department.

OBJECTIVE: Evaluate a nurse-initiated quality improvement (QI) intervention aimed at enhancing asthma treatment in a pediatric emergency department (ED), utilizing outcomes and workflow. METHODS: We evaluated the impact of QI interventions for pediatric patients presenting to the ED with asthma with pre-post analysis. A pediatric asthma score (PAS) of >8 indicated moderate to severe asthma. This secondary analysis of the electronic health record (EHR), evaluated on 1) patient outcomes (time to clinical treatment, ED length of stay [EDLOS], admissions and discharges home), 2) clinical workflow. RESULTS: We compared 886 visits occurring between 01/01/2015 and 09/27/2015 (pre-implementation period) with 752 visits between 01/01/2016 and 09/27/2016 (post-implementation). Time to first documentation of PAS was decreased post-intervention (p<.001) by >30 min (75 ± 57 to 39 ± 54 min). There were significant decreases in time to treatment with both steroid and bronchodilator administration (both p<.001). EDLOS did not significantly change. Based on acuity level, those discharged home from the ED with high acuity (PAS score ≥8), had a significant decrease in time to initial PAS, steroid and bronchodilator use and EDLOS. Of those with high acuity who were admitted to the hospital, there was a difference pre- to post-implementation, in time to first PAS (p<.05), but not to treatment. Workflow visualization provided additional insights and detailed (task level) comparisons of the timing of ED activities. CONCLUSIONS: Nurse-initiated ED interventions, can significantly improve the timeliness of pediatric asthma evaluation and treatment. Examining workflow along with the outcomes, can better inform QI evaluations and clinical management.

Information Seeking and Sensemaking in Emergency Medical Service through Simulation Video Review.

Emergency medical services (EMS) providers often face significant challenges in their work, including collecting, integrating, and making sense of a variety of information. Despite their criticality, EMS work is one of the very few medical domains with limited technical support. To design and implement effective decision support, it is essential to examine and gain a holistic understanding of the fine-grained process of sensemaking in the field. To that end, we reviewed 25 video recordings of EMS simulations to understand the nuances of EMS sensemaking work, including 1) the types of information and situation that are collected and made sense of in the field; 2) the work practices and temporal patterns of EMS sensemaking work; and 3) the challenges in EMS sensemaking and decision-making process. Based on the results, we discuss implications for technology opportunities to support rapid information acquisition and sensemaking in time-critical, high-risk medical settings such as EMS.

Systems of communication in school-nurse led care coordination: A concept analysis.

AIM: To analyze the concept of systems of communication in school nurse-led care coordination to develop an operational definition that will inform intervention development. BACKGROUND: Communication has been identified as an essential attribute in care coordination. However, previous concept analyses of care coordination did not clearly define systems of communication or consider the context of school-based care coordination. Defining and conceptualizing systems of communication has important implications for improving school nurse-led care coordination. METHODS: Concept analysis was conducted using Walker and Avant's eight-step concept analysis method. The literature was searched to identify supporting literature that was analyzed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. RESULTS: Systems of communication in school nurse-led care coordination can be defined as systems wherein care team members, led by the school nurse, collaborate by communicating information and knowledge through an individualized healthcare plan that is student/family-centered and shared through information systems. Attributes require developing an individual health plan that incorporates care coordination needs, information sharing with student/family consent, and a clear delineation of team member roles. Consequences include student/family outcomes, team member knowledge, and efficiency and accuracy of information. CONCLUSIONS: Concept clarification and a synthesized definition allow for more effective measurement development for effective communication in school nurse-led care coordination. Students with healthcare needs in the school environment require systems of communication that efficiently work toward school nurse-led care coordination that addresses the student's health and academic outcomes.

Opportunities and Challenges of Integrating Food Practice into Clinical Decision-Making.

BACKGROUND: Food practice plays an important role in health. Food practice data collected in daily living settings can inform clinical decisions. However, integrating such data into clinical decision-making is burdensome for both clinicians and patients, resulting in poor adherence and limited utilization. Automation offers benefits in this regard, minimizing this burden resulting in a better fit with a patient's daily living routines, and creating opportunities for better integration into clinical workflow. Although the literature on patient-generated health data (PGHD) can serve as a starting point for the automation of food practice data, more diverse characteristics of food practice data provide additional challenges. OBJECTIVES: We describe a series of steps for integrating food practices into clinical decision-making. These steps include the following: (1) sensing food practice; (2) capturing food practice data; (3) representing food practice; (4) reflecting the information to the patient; (5) incorporating data into the EHR; (6) presenting contextualized food practice information to clinicians; and (7) integrating food practice into clinical decision-making. METHODS: We elaborate on automation opportunities and challenges in each step, providing a summary visualization of the flow of food practice-related data from daily living settings to clinical settings. RESULTS: We propose four implications of automating food practice hereinafter. First, there are multiple ways of automating workflow related to food practice. Second, steps may occur in daily living and others in clinical settings. Food practice data and the necessary contextual information should be integrated into clinical decision-making to enable action. Third, as accuracy becomes important for food practice data, macrolevel data may have advantages over microlevel data in some situations. Fourth, relevant systems should be designed to eliminate disparities in leveraging food practice data. CONCLUSION: Our work confirms previously developed recommendations in the context of PGHD work and provides additional specificity on how these recommendations apply to food practice.

Applications and User Perceptions of Smart Glasses in Emergency Medical Services: Semistructured Interview Study.

BACKGROUND: Smart glasses have been gaining momentum as a novel technology because of their advantages in enabling hands-free operation and see-what-I-see remote consultation. Researchers have primarily evaluated this technology in hospital settings; however, limited research has investigated its application in prehospital operations. OBJECTIVE: The aim of this study is to understand the potential of smart glasses to support the work practices of prehospital providers, such as emergency medical services (EMS) personnel. METHODS: We conducted semistructured interviews with 13 EMS providers recruited from 4 hospital-based EMS agencies in an urban area in the east coast region of the United States. The interview questions covered EMS workflow, challenges encountered, technology needs, and users' perceptions of smart glasses in supporting daily EMS work. During the interviews, we demonstrated a system prototype to elicit more accurate and comprehensive insights regarding smart glasses. Interviews were transcribed verbatim and analyzed using the open coding technique. RESULTS: We identified four potential application areas for smart glasses in EMS: enhancing teleconsultation between distributed prehospital and hospital providers, semiautomating patient data collection and documentation in real time, supporting decision-making and situation awareness, and augmenting quality assurance and training. Compared with the built-in touch pad, voice commands and hand gestures were indicated as the most preferred and suitable interaction mechanisms. EMS providers expressed positive attitudes toward using smart glasses during prehospital encounters. However, several potential barriers and user concerns need to be considered and addressed before implementing and deploying smart glasses in EMS practice. They are related to hardware limitations, human factors, reliability, workflow, interoperability, and privacy. CONCLUSIONS: Smart glasses can be a suitable technological means for supporting EMS work. We conclude this paper by discussing several design considerations for realizing the full potential of this hands-free technology.

Principles for Designing and Developing a Workflow Monitoring Tool to Enable and Enhance Clinical Workflow Automation.

BACKGROUND: Automation of health care workflows has recently become a priority. This can be enabled and enhanced by a workflow monitoring tool (WMOT). OBJECTIVES: We shared our experience in clinical workflow analysis via three cases studies in health care and summarized principles to design and develop such a WMOT. METHODS: The case studies were conducted in different clinical settings with distinct goals. Each study used at least two types of workflow data to create a more comprehensive picture of work processes and identify bottlenecks, as well as quantify them. The case studies were synthesized using a data science process model with focuses on data input, analysis methods, and findings. RESULTS: Three case studies were presented and synthesized to generate a system structure of a WMOT. When developing a WMOT, one needs to consider the following four aspects: (1) goal orientation, (2) comprehensive and resilient data collection, (3) integrated and extensible analysis, and (4) domain experts. DISCUSSION: We encourage researchers to investigate the design and implementation of WMOTs and use the tools to create best practices to enable workflow automation and improve workflow efficiency and care quality.

Endotracheal Tube Cuff Pressure Management: An Observational Study Guided by the SEIPS Model.

INTRODUCTION: The aim of the rigorous endotracheal tube cuff pressure (ETTCP) management is to maintain cuff pressures within the recommended values during the mechanical ventilation period. However, hyperinflation or hypoinflation of cuff has been reported because of inconsistent clinical practices in intensive care unit (ICU) settings. Furthermore, there is no available best evidence for clinical decision-making regarding the ETTCP management provided by international institutes. PURPOSE: The aim of this study was to examine the ETTCP management work system in ICU settings in urban hospitals of Turkey and the United States using the Systems Engineering Initiative for Patient Safety model. METHODS: This was a direct observational, prospective field study, in which the COREQ (Consolidated Criteria for Reporting Qualitative Research) tool was used. The direct observations and follow-up interviews were conducted, and the results were reported using the Systems Engineering Initiative for Patient Safety model. RESULTS: We identified important characteristics of the ETTCP management work system in each of the 4 ICU and differences across the settings. CONCLUSION: Common use of the evidence-based and internationally used protocols may standardize the management of ETTCP, improve communication among ICU staff, and promote desired patient outcomes. RELEVANCE TO CLINICAL PRACTICE: There is a need for developing strategies to provide standardized ETTCP management and to improve patient's quality of care. To improve the patient outcomes and quality of care, ICU managers should consider clear expectations for ETTCP management in each job description, structured and evidence-based protocols, and effective communication among disciplines and provide teaching opportunities to encourage physicians, nurses, and respiratory therapists to meet their educational needs.

Designing and implementing smart glass technology for emergency medical services: a sociotechnical perspective.

Objective: This study aims to investigate key considerations and critical factors that influence the implementation and adoption of smart glasses in fast-paced medical settings such as emergency medical services (EMS). Materials and Methods: We employed a sociotechnical theoretical framework and conducted a set of participatory design workshops with 15 EMS providers to elicit their opinions and concerns about using smart glasses in real practice. Results: Smart glasses were recognized as a useful tool to improve EMS workflow given their hands-free nature and capability of processing and capturing various patient data. Out of the 8 dimensions of the sociotechnical model, we found that hardware and software, human-computer interface, workflow, and external rules and regulations were cited as the major factors that could influence the adoption of this novel technology. EMS participants highlighted several key requirements for the successful implementation of smart glasses in the EMS context, such as durable devices, easy-to-use and minimal interface design, seamless integration with existing systems and workflow, and secure data management. Discussion: Applications of the sociotechnical model allowed us to identify a range of factors, including not only technical aspects, but also social, organizational, and human factors, that impact the implementation and uptake of smart glasses in EMS. Our work informs design implications for smart glass applications to fulfill EMS providers' needs. Conclusion: The successful implementation of smart glasses in EMS and other dynamic healthcare settings needs careful consideration of sociotechnical issues and close collaboration between different stakeholders.

Predicting hospitalization of pediatric asthma patients in emergency departments using machine learning.

MOTIVATION: The timely identification of patients for hospitalization in emergency departments (EDs) can facilitate efficient use of hospital resources. Machine learning can help the early prediction of ED disposition; however, application of machine learning models requires both computer science skills and domain knowledge. This presents a barrier for those who want to apply machine learning to real-world settings. OBJECTIVES: The objective of this study was to construct a competitive predictive model with a minimal amount of human effort to facilitate decisions regarding hospitalization of patients. METHODS: This study used the electronic health record data from five EDs in a single healthcare system, including an academic urban children's hospital ED, from January 2009 to December 2013. We constructed two machine learning models by using automated machine learning algorithm (autoML) which allows non-experts to use machine learning model: one with data only available at ED triage, the other adding information available one hour into the ED visit. Random forest and logistic regression were employed as bench-marking models. The ratio of the training dataset to the test dataset was 8:2, and the area under the receiver operating characteristic curve (AUC), accuracy, and F1 were calculated to assess the quality of the models. RESULTS: Of the 9,069 ED visits analyzed, the study population was made up of males (62.7 %), median (IQR) age was 6 (4, 10) years, and public insurance coverage (66.0 %). The majority had an Emergency Severity Index score of 3 (52.9 %). The prevalence of hospitalization was 22.5 %. The AUCs were 0.914 and 0.942. AUCs were 0.831 and 0.886 for random forests, and 0.795 and 0.823 for logistic regression. Among the predictors, an outcome at a prior visit, ESI level, time to first medication, and time to triage were the most important features for the prediction of the need for hospitalization. CONCLUSIONS: In comparison with the conventional approaches, the use of autoML improved the predictive ability for the need for hospitalization. The findings can optimize ED management, hospital-level resource utilization and improve quality. Furthermore, this approach can support the design of a more effective patient ED flow for pediatric asthma care.

Understanding Gaps Between Daily Living and Clinical Settings in Chronic Disease Management: Qualitative Study.

BACKGROUND: Management of chronic conditions entails numerous activities in both clinical and daily living settings. Activities across these settings interact, creating a high potential for a gap to occur if there is an inconsistency or disconnect between controlled clinical settings and complex daily living environments. OBJECTIVE: The aim of this study is to characterize gaps (from the patient's perspective) between health-related activities across home-based and clinical settings using anticoagulation treatment as an example. The causes, consequences, and mitigation strategies (reported by patients) were identified to understand these gaps. We conceptualized gaps as latent phenomena (ie, a break in continuity). METHODS: Patients (n=39) and providers (n=4) from the anticoagulation clinic of an urban, western mountain health care system were recruited. Data were collected through primary interviews with patients, patient journaling with tablet computers, exit interviews with patients, and provider interviews. Data were analyzed qualitatively using a theory-driven approach and framework method of analysis. RESULTS: The causes of gaps included clinician recommendations not fitting into patients' daily routines, recommendations not fitting into patients' living contexts, and information not transferred across settings. The consequences of these gaps included increased cognitive and physical workload on the patient, poor patient satisfaction, and compromised adherence to the therapy plan. We identified resources and strategies used to overcome these consequences as patient-generated strategies, routines, collaborative management, social environment, and tools and technologies. CONCLUSIONS: Understanding gaps, their consequences, and mitigating strategies can lead to the development of interventions that help narrow these gaps. Such interventions could take the form of collaborative health information technologies, novel patient and clinician education initiatives, and programs that strongly integrate health systems and community resources. Current technologies are insufficient to narrow the gaps between clinical and daily living settings due to the limited number and types of routines that are tracked.

User Needs and Challenges in Information Sharing between Pre-Hospital and Hospital Emergency Care Providers.

Effective communication between pre-hospital and hospital providers is a critical first step towards ensuring efficient patient care. Despite many efforts in improving the communication process, inefficiencies persist. It is critical to understand user needs, work practices, and existing barriers to inform technology design for supporting pre-hospital communication. However, existing research examining the ways in which patient information is collected and shared by pre-hospital providers in the field has been limited. We conducted a series of ethnographic studies with both prehospital and hospital care providers to examine 1) the types of information that are commonly collected and shared by the pre-hospital providers in the field; 2) the types of pre-hospital information that are needed by hospital-based teams for ensuring appropriate preparation; and 3) the challenges in the pre-hospital communication process. We conclude by discussing technology opportunities for facilitating real-time information sharing in the field.

Factors Associated With First Medication Time for Children Treated in the Emergency Department for Asthma.

OBJECTIVES: Acute asthma exacerbations are among the most common reasons for childhood emergency department (ED) visits and hospitalizations. Although early ED administration of asthma medication has been shown to decrease hospitalizations, studies of factors associated with early ED asthma medication delivery have been limited. The objective of our study was to identify patient- and ED-related factors associated with early medication delivery among children treated in the ED for asthma exacerbations. METHODS: This retrospective study used electronic health record data from all encounters for a primary diagnosis of asthma in an academic children's hospital ED during the study period 2009 to 2013. Using multivariate logistic regression, we identified the association between patient- and ED-related factors and the time to first medication defined as a binary outcome using a threshold of 1 hour from ED arrival. We then stratified our analysis by triage level (Emergency Severity Index [ESI]). RESULTS: Of the 4846 encounters during the study period, 62% were male, mean age was 7.30 years, 76% had public insurance, and 57% had an ESI level of 3. Medication was administered within 1 hour of arrival in 2236 encounters (46%). After adjusting for covariates, multivariate logistic regression revealed that patients were less likely to have medications within 1 hour when they had less severe ESI (ESI 2 vs ESI 4: odds ratio [OR], 0.139; confidence interval [CI], 0.114-0.170), arrived via non-emergency medical services (OR, 0.525; CI, 0.413-0.665), or arrived to a crowded ED (OR, 0.574; CI, 0.505-0.652). Age, sex, and insurance type were not associated with timeliness of initial medication administration. Stratified analyses demonstrated that the crowding effect was larger for less severely ill patients. CONCLUSIONS: Our study found that patient severity (acuity level, arrival mode) and level of ED crowing-but not demographic factors-are associated with the administration of medication in the first hour to pediatric patients with asthma. Our findings may be helpful in redesigning asthma care management strategies.

Multidisciplinary Teams are Essential for Developing Clinical Decision Support to Improve Pediatric Health Outcomes: An Exemplar.

Clinical decision support with individualized patient education information can facilitate the translation of evidence-based guidelines into practice to improve pediatric patient outcomes. Interdisciplinary teams are required to develop and implement this technology support into practice. Engineering expertise with attention to three components is required: backend (e.g., data science, predictions), front end (e.g., user interface), and integration (e.g., workflow) must be addressed to achieve useful technology that will be adopted. An engineering framework, Technology Acceptance Model, can be used to guide the development of clinical decision support with patient education materials and includes a partnership with end users, both clinicians and patients.

Analysis of medication patterns for pediatric asthma patients in emergency department: Does the sequence placement of glucocorticoids administration matter?

Objectives: Timely glucocorticoid administration is associated with decreased admission rate and is thus a common quality metric for ED asthma care; less is known about the impact of the timing of glucocorticoids in the context of the sequence of asthma medications administered. Therefore, we investigated the distribution of asthma medication sequences in one ED and analyzed the effect of the sequence placement of glucocorticoids administration on treatment outcomes.Methods: A retrospective study using five-year electronic health record data obtained from an academic urban children's hospital ED was conducted. We clustered the sequences of medication administration using an exact string-matching algorithm to identify the most frequently used asthma medication sequences. Then, we used the identified patterns to perform statistical tests to examine the effect of the sequence placement of glucocorticoids administration on the outcomes length-of-stay and ED disposition.Results: A total of 4,844 encounters were included in our study. The ten most common treatment sequences accounted for 43% of all encounters. Stratified analyses confirmed that treatment sequences pattern was correlated with patient severity, but ED crowding does not impact treatment sequences. In multivariable models, glucocorticoids administration earlier in the treatment sequence was associated with shorter length of stay and lower hospital admission rates.Conclusions: By analyzing medication sequence patterns for the ED encounter of pediatric asthma, we found that the earlier sequence placement of glucocorticoids administration is associated with improved outcomes. Our findings can help inform quality improvement and clinical guideline development related to ED asthma care for children.

Considerations for Designing EHR-Embedded Clinical Decision Support Systems for Antimicrobial Stewardship in Pediatric Emergency Departments.

OBJECTIVE: This study was aimed to explore the intersection between organizational environment, workflow, and technology in pediatric emergency departments (EDs) and how these factors impact antibiotic prescribing decisions. METHODS: Semistructured interviews with 17 providers (1 fellow and 16 attending faculty), and observations of 21 providers (1 physician assistant, 5 residents, 3 fellows, and 12 attendings) were conducted at three EDs in the United States. We analyzed interview transcripts and observation notes using thematic analysis. RESULTS: Seven themes relating to antibiotic prescribing decisions emerged as follows: (1) professional judgement, (2) cognition as a critical individual resource, (3) decision support as a critical organizational resource, (4) patient management with imperfect information, (5) information-seeking as a primary task, (6) time management, and (7) broad process boundaries of antibiotic prescribing. DISCUSSION: The emerging interrelated themes identified in this study can be used as a blueprint to design, implement, and evaluate clinical decision support (CDS) systems that support antibiotic prescribing in EDs. The process boundaries of antibiotic prescribing are broader than the current boundaries covered by existing CDS systems. Incongruities between process boundaries and CDS can under-support clinicians and lead to suboptimal decisions. We identified two incongruities: (1) the lack of acknowledgment that the process boundaries go beyond the physical boundaries of the ED and (2) the lack of integration of information sources (e.g., accessibility to prior cultures on an individual patient outside of the organization). CONCLUSION: Significant opportunities exist to improve appropriateness of antibiotic prescribing by considering process boundaries in the design, implementation, and evaluation of CDS systems.

Evaluative Research of Technologies for Prehospital Communication and Coordination: a Systematic Review.

Various technologies have been designed and developed to support communication and coordination between the field and hospital during a medical emergency. The usability issues and human factors entailed in these new technologies are important to their application and effectiveness, suggesting the need to examine this information in a systematic review. The systematic review aims to synthesize the user-centered evaluative research of prehospital communication technologies. We conducted a systematic literature search in four databases (Medline, Cochrane, Embase, and Web of Science) for articles published between the years 2000 and 2019. We included articles that evaluated the technologies developed for supporting prehospital communication and collaboration, and were published in English. A total of 918 articles were retrieved and screened, with 17 articles included for in-depth analysis. Two authors conducted independent screens and reviews of the articles using a list of inclusion/exclusion criteria and defined factors. The types of technology of reviewed articles included ambulance-based telemedicine, wearable, handheld, and Internet of Things (IoT) devices. Even though these technologies have demonstrated high levels of user acceptance, the reviewed studies noted a variety of challenges faced by emergency care providers, which were grouped into three categories-technical, usability, and organizational challenges. Our review also highlighted the paucity of evaluative research of prehospital communication technologies and the lack of user engagement throughout system design process. Based on the results, we discuss the importance of adopting user-centered design approaches and accounting for three social-technical factors in designing technologies for time-critical medical settings, including cognitive and physical stressor, workflow, and context. This systematic review presents an overview of key evaluative research of prehospital communication technologies. The paucity of evaluative research in prehospital communication technology and challenges faced in adopting advanced technological solutions in emergency care highlight the need to adopt user-centered design and take into account socio-technical issues at the point of system design.