Journal of the American Medical Informatics Association This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Utilizing health information technology in the treatment and management of patients during the COVID-19 pandemic: lessons from international case study sites
ConclusionsImproving integration between data systems, utilizing specialized alerts, and expanding telehealth represent strategies that hospitals should consider when using HIT for delivering hospital care in the context of the COVID-19 pandemic. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 13, 2021 Category: Information Technology Source Type: research

Transfer Learning for Mobile Real-Time Face Mask Detection and Localisation
ConclusionThe experimental analysis shows that the proposed method can be successfully exploited for the face mask viola-tions detection. Moreover we highlight that it is working also on device with limited computational capability and it is able to process in real time images and video streams, making our proposal able to be applied in the real-world. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 13, 2021 Category: Information Technology Source Type: research

Electronic phenotyping of health outcomes of interest using a linked claims-electronic health record database: Findings from a machine learning pilot project
ConclusionsIt is feasible to use machine learning methods to predict an EHR-derived HOI with claims-based predictors. Modeling strategies can be adapted for intended uses, including surveillance, identification of cases for chart review, and outcomes research. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 13, 2021 Category: Information Technology Source Type: research

ACE: the Advanced Cohort Engine for searching longitudinal patient records
ConclusionACE is a tool that combines a unique query language for time-aware search of longitudinal patient records with a patient object datastore for rapid electronic phenotyping, cohort extraction, and exploratory data analyses. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 13, 2021 Category: Information Technology Source Type: research

Clinical data sharing improves quality measurement and patient safety
ConclusionsFederal, state, and commercial programs that use quality measurement as part of reimbursement could promote more accurate and representative quality measurement through methods that increase clinical data sharing. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 13, 2021 Category: Information Technology Source Type: research

Seriously ill pediatric patient, parent, and clinician perspectives on visualizing symptom data
ConclusionsEffectively visualizing complex mobile health data can enhance understanding of symptom dynamics and promote patient-clinician communication, leading to tailored personalized symptom management strategies. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 13, 2021 Category: Information Technology Source Type: research

DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions
ConclusionsIn this proof-of-concept study, we demonstrate the value of incorporating information mined from existing allergy lists to detect DDIs in a real-world clinical setting. Since allergy lists are routinely collected in EHRs, DDIWAS has the potential to detect and validate DDI signals across institutions. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 13, 2021 Category: Information Technology Source Type: research

Empowering physicians with health information technology: An empirical investigation in Chinese hospitals
ConclusionsHealthcare professionals should assess the purpose of HIT features and expect different effects on intermediate and ultimate outcomes. The nuanced view of HIT features and processes leading to outcomes sheds light on their differential effects and resolves inconsistencies in prior findings on HIT effects. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 13, 2021 Category: Information Technology Source Type: research

Using Blueprints to promote interorganizational knowledge transfer in digital health initiatives —a qualitative exploration of a national change program in English hospitals
ConclusionsBlueprints may be effective in facilitating knowledge transfer among healthcare organizations, but need to be accompanied by other evolving methods, such as site visits and other networking activities, to iteratively transfer knowledge and experience. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 11, 2021 Category: Information Technology Source Type: research

Can decision support combat incompleteness and bias in routine primary care data?
ConclusionsWe provide evidence that data entry in the EHR is incomplete and reflects physicians ’ cognitive biases. This has serious implications for epidemiological research that uses routine data. A DSS that facilitates and motivates data entry during the consultation can improve routine documentation. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 11, 2021 Category: Information Technology Source Type: research

Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients
ConclusionsWe develop and validate prognostic models targeting MV, RRT, and readmission for hospitalized COVID-19 patients which produce accurate, interpretable predictions. Additional external validation studies are needed to further verify the generalizability of our results. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 11, 2021 Category: Information Technology Source Type: research

Why do people oppose mask wearing? A comprehensive analysis of US tweets during the COVID-19 pandemic
ConclusionCombining machine learning and qualitative content analysis is an effective strategy for identifying public attitudes toward mask wearing and the reasons for opposition. The results may inform better communication strategies to improve the public perception of wearing masks and, in particular, to specifically address common anti-mask beliefs. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 4, 2021 Category: Information Technology Source Type: research

Development of a novel machine learning model to predict presence of nonalcoholic steatohepatitis
ConclusionThe NASHmap model is a convenient and high performing tool that could be used to identify patients likely to have NASH in clinical settings, allowing better patient management and optimal allocation of clinical resources. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 4, 2021 Category: Information Technology Source Type: research

Human-centered development of an electronic health record-embedded, interactive information visualization in the emergency department using fast healthcare interoperability resources
ConclusionCompared to standard EHR functionality, our visualization increased clinician efficiency when reviewing the charts of pediatric asthma patients. Application development efforts in an operational context should leverage existing health information exchange standards, such as FHIR, and evidence-based mixed methods approaches. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 3, 2021 Category: Information Technology Source Type: research

Real-time locating systems to improve healthcare delivery: A systematic review
ConclusionsRTLS is a useful and effective adjunct methodology in process and quality improvement, workflow analysis, and patient safety. Future directions should focus on developing enhanced analysis to meaningfully interpret RTLS data. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 3, 2021 Category: Information Technology Source Type: research