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.

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.

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.

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.

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.

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.

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.

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.

The financial advantages of medical scribes extend beyond increased visits.

Employing medical scribes can boost revenue for a practice, the authors show, well beyond being an opportunity to expand patient volume.

Creation of a linked cohort of children and their parents in a large, national electronic health record dataset.

ABSTRACT: To examine which parental health care and health factors are most strongly associated with a child's receipt of recommended care we must be able to link children to their parents in electronic health record data. Yet, there is not an easy way to link these data.To identify a national cohort of children that link to at least one parent in the same electronic health record dataset and describe their demographics.Methodology to link parents and children in electronic health records and descriptive sociodemographic data.Children with at least one encounter with a primary care clinician between Januray 1, 2007 and December 12, 2018 to a community health center in the OCHIN national network. We identified parents of these children who also had at least one encounter to a community health center in the network using emergency contact and guarantor record fields.A total of 227,552 children had parents with a linkable patient record. After exclusions, our final cohort included 213,513 distinct children with either one or two parent-links. 82% of children linked to a mother only, 14% linked to a father only, and 4% linked to both a mother and a father. Most families consisted of only one linked child (61%).We were able to link 33% of children to a parent in electronic health record data from a large network of community health centers across the United States. Further analyses utilizing these linkages will allow examination of the multi-level factors that impact a child's receipt of recommended health care.

The impact of an electronic hospital system on therapeutic drug monitoring.

WHAT IS KNOWN AND OBJECTIVE: Australian hospitals have undergone a transformation with both a review and expansion of traditional roles of healthcare professionals and the implementation of an ieMR. The implementation of an ieMR brings large scale organizational change within the health system especially for staff with direct patient contact. This is changing the future of healthcare and the roles of healthcare professionals. There is minimal research on the impact of these electronic systems on the people and processes required to realise the improvements in patient care such as therapeutic drug monitoring (TDM) and the role of the pharmacist within the TDM process. The literature has discussed the use of computerised programs to assist with the interpretation of results and calculating of doses but the impact of an ieMR on the TDM process has not been discussed. This study undertook a retrospective analysis at an Australian tertiary hospital to investigate the impact of a digital hospital system on TDM within the facility. METHODS: A 2-year retrospective audit was conducted on TDM at an Australian Tertiary Hospital. The periods were 2016 (a paper-based hospital) and 2018 (ieMR). Patients were identified using the pathology database. Patients were excluded if under the age of 18, in an outpatient setting or the emergency department. Progress notes, medication charts, ieMR and other relevant pathology were reviewed. They were assessed for appropriateness of the timing of collection, compliance to recommended TDM guidelines, and pharmacist documentation. RESULTS AND DISCUSSION: A total of 2926 observations were included in the analysis. There was as similar percentage of appropriately collected samples between the paper-based system (2016) and the digital hospital system (2018) with 59% and 58% respectively. Results of logistic regression analysis models show the effect of year was not significant with regards to TDM for either a sample being appropriate or the dose adjustment being appropriate. Samples for TDM were more likely to be appropriate if the pharmacist had documented advice but less likely with regards to appropriate dose adjustment. This study considered the effect of introducing a hospital wide digital system on TDM processes. Overall, the results indicate no difference between the paper-based system and ieMR for appropriate samples and doses adjustments. WHAT IS NEW AND CONCLUSION: To our knowledge, this is the first study of this kind looking at the impact of a digital hospital system on TDM. The introduction of a digital hospital system does not appear to have made improvement on the effective use of TDM. Inappropriate sampling as seen in this study can lead to ineffective clinical management of patients, inefficient use of time, and waste of financial resources. Further work is required to incorporate specific guidance and recommendations within the digital system to optimize TDM.

Information and communication technology literacy, knowledge and readiness for electronic medical record system adoption among health professionals in a tertiary hospital, Myanmar: A cross-sectional study.

Some developing countries are currently introducing and implementing an electronic medical record system (EMRs) for improvement in healthcare delivery services. Availability of information and communication technology (ICT), technical skillful staff, and strong resistance to change by the health professionals impacted the successful adoption of EMRs. This study aimed to assess the ICT literacy, knowledge, and readiness for EMRs adoption among health professionals in a tertiary hospital, Myanmar. A cross-sectional study was conducted among 118 health professionals involving in a tertiary hospital at Nay Pyi Taw, Myanmar from February to April 2020 using a stratified sampling method. The data were collected through face-to-face interviews using a pretested structured questionnaire after getting informed consent. Data were analyzed by using SPSS version 23.0. Chi-square test, Fisher's exact test, and logistic regression analysis were performed to assess the associated factors of ICT literacy, knowledge, and overall readiness for EMRs adoption. The prevalence of high ICT literacy and knowledge on EMRs among health professionals were 20.3% and 24.6% respectively. The factors associated with ICT literacy were professional, education, duration of service, and reported English language skills. Duration of service was associated with knowledge on EMRs. The overall readiness was 54.2% (core readiness 59.3% and engagement readiness 61.9%), and postgraduate [Adjusted Odds Ratio (AOR): 7.32, 95% Confidence Interval (CI): 2.26-23.68] and knowledge on EMRs (AOR: 1.27, 95% CI: 1.13-1.43) were the factors associated with overall readiness for EMRs adoption. Expanding infrastructure and provision of ICT development training are crucial for the improvement of ICT literacy. EMRs training program enabling hands-on experience should be implemented for improvement of knowledge on EMRs. In general, the overall readiness for EMRs adoption was found to be moderate. Enhancing the establishment of comprehensive on-the-job training and contextualization of curriculum in EMRs training program are recommended to improve the health professionals' readiness for EMRs adoption.

Integrating Web Services/Applications to Improve Pediatric Functionalities in Electronic Health Records.

The past decade has seen a substantial increase in the use of electronic health records (EHRs) by health care providers caring for children. However, gaps in pediatric-specific functionalities continue to exist in some EHR systems, including population-specific growth curves, immunization clinical decision support, weight-based medication dosing with rounding, calculation of pediatric hypertension percentiles, age-specific developmental assessment, newborn bilirubin nomograms, anticipatory guidance reminders, and other functionalities described elsewhere. Implementing pediatric functionalities into EHRs is critical to the provision of safe pediatric care. As an alternative to direct implementation in EHRs, EHR vendor agnostic Web applications, Web services, and application programming interfaces offer an opportunity to provide pediatric functionalities and eliminate the need for each vendor to develop these functionalities. Successful implementation of Web services and related technologies requires responsible attention from both EHR vendors and developers of Web services, Web applications, and application programming interfaces to the use of data terminology standards, adherence to privacy and security requirements, rigorous testing, change management processes, and robust system support and maintenance. Education of health care providers about opportunities to improve pediatric functionalities in EHRs by using these services can facilitate discussions in EHR user groups in which vendors can be lobbied to implement them. This policy statement emphasizes the need to address pediatric-specific functionalities in EHRs by providing insight and recommendations into the development, maintenance, integration, and support of these novel solutions.