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.

Patients and consumers (and the data they generate): an underutilized resource
AbstractThe articles highlighted in this issue focus on data generated, viewed, or interacted with by patients or consumers. Such data are increasingly part of healthcare and research processes. Several papers also address the issue of racial bias or disparities.1 –3 A variety of data sources, informatics processes, and tools are illustrated through the papers including machine learning,1,4 mapping to an information model,2 open notes,3 EHR-enabled dashboard,5 and conversational agent.4 (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 2, 2021 Category: Information Technology Source Type: research

A landscape survey of planned SMART/HL7 bulk FHIR data access API implementations and tools
AbstractThe Office of National Coordinator for Health Information Technology final rule implementing the interoperability and information blocking provisions of the 21st Century Cures Act requires support for two SMART (Substitutable Medical Applications, Reusable Technologies) application programming interfaces (APIs) and instantiates Health Level Seven International (HL7) Fast Healthcare Interoperability Resources (FHIR) as a lingua franca for health data. We sought to assess the current state and near-term plans for the SMART/HL7 Bulk FHIR Access API implementation across organizations including electronic health record...
Source: Journal of the American Medical Informatics Association - March 1, 2021 Category: Information Technology Source Type: research

Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions
AbstractThe Food& Drug Administration (FDA) is considering the permanent exemption of premarket notification requirements for several Class I and II medical device products, including several artificial Intelligence (AI) –driven devices. The exemption is based on the need to rapidly more quickly disseminate devices to the public, estimated cost-savings, a lack of documented adverse events reported to the FDA’s database. However, this ignores emerging issues related to AI-based devices, including utility, reprodu cibility and bias that may not only affect an individual but entire populations. We urge the FDA to rein...
Source: Journal of the American Medical Informatics Association - March 1, 2021 Category: Information Technology Source Type: research

Practice and market factors associated with provider volume of health information exchange
ConclusionThis furthers the understanding that market forces, like competition, may be related to HIE adoption decisions but are less important for use once adoption has occurred. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - March 1, 2021 Category: Information Technology Source Type: research

COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model
AbstractThe COVID-19 pandemic swept across the world rapidly, infecting millions of people. An efficient tool that can accurately recognize important clinical concepts of COVID-19 from free text in electronic health records (EHRs) will be valuable to accelerate COVID-19 clinical research. To this end, this study aims at adapting the existing CLAMP natural language processing tool to quickly build COVID-19 SignSym, which can extract COVID-19 signs/symptoms and their 8 attributes (body location, severity, temporal expression, subject, condition, uncertainty, negation, and course) from clinical text. The extracted information...
Source: Journal of the American Medical Informatics Association - March 1, 2021 Category: Information Technology Source Type: research

Social informatics is a poor choice of term: A response to Pantell et al
To the Editor (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - February 28, 2021 Category: Information Technology Source Type: research

A reply to Shachak
social informaticshealth information technologyhealth informaticssocial determinants of healthsocial needs (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - February 28, 2021 Category: Information Technology Source Type: research

Exploring the relationship between electronic health records and provider burnout: A systematic review
ConclusionsThe included studies were mostly observational studies; thus, we were not able to determine a causal relationship. Currently, there are few studies that objectively assessed the relationship between EHR use and provider burnout. The 3 most cited EHR factors associated with burnout were confirmed and should be the focus of efforts to improve EHR-related provider burnout. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - February 28, 2021 Category: Information Technology Source Type: research

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions
ConclusionThe creation of effective behavioral health interventions does not depend only on final algorithm performance. Many decisions in the real world are necessary to formulate the design of problem parameters to which an algorithm is applied. Researchers must document and evaulate these considerations and decisions before and during the intervention period, to increase transparency, accountability, and reproducibility.Trial Registrationclinicaltrials.gov, NCT03490253. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - February 28, 2021 Category: Information Technology Source Type: research

Digital phenotyping and sensitive health data: Implications for data governance
Mobile and wearable devices, such as smartwatches and fitness trackers, increasingly enable the continuous collection of physiological and behavioral data that permit inferences about users ’ physical and mental health. Growing consumer adoption of these technologies has reduced the cost of generating clinically meaningful data. This can help reduce medical research costs and aid large-scale studies. However, the collection, processing, and storage of data comes with significant ethi cal, security, and data governance considerations. A complex ecosystem is developing, with the need for collaboration among researchers, he...
Source: Journal of the American Medical Informatics Association - February 27, 2021 Category: Information Technology Source Type: research

Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning
ConclusionsNinety-one VAERS reports were annotated, resulting in 2512 entities. The corpus was made publicly available to promote community efforts on vaccine AEs identification. Deep learning-based methods (eg, bi-long short-term memory and BERT models) outperformed conventional machine learning-based methods (ie, conditional random fields with extensive features). The BioBERT large model achieved the highest exact match F-1 scores onnervous_AE,procedure,social_circumstance, andtemporal_expression; while VAERS BERT large models achieved the highest exact match F-1 scores oninvestigation andother_AE. An ensemble of these 2...
Source: Journal of the American Medical Informatics Association - February 27, 2021 Category: Information Technology Source Type: research

Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS)
ConclusionsMC-EWS achieved superior prediction of general care inpatient deterioration using sophisticated feature engineering and a machine learning approach, reducing alert rate. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - February 26, 2021 Category: Information Technology Source Type: research

Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study
ConclusionsThe multistate model we develop is a powerful tool for predicting individual-level patient outcomes and hospital-level utilization. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - February 26, 2021 Category: Information Technology Source Type: research

Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework
ConclusionsWe propose this framework as an approach to embed clinicians ’ knowledge-driven behaviors in predictions and inferences to facilitate capture of healthcare processes that are activated independently, and sometimes well before, physiological changes are apparent. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - February 24, 2021 Category: Information Technology Source Type: research

Toolkits for implementing and evaluating digital health: A systematic review of rigor and reporting
ConclusionGreater attention needs to be paid to rigor and reporting when developing, evaluating, and reporting toolkits for implementing and evaluating digital health so that they can effectively function as a knowledge translation strategy. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - February 23, 2021 Category: Information Technology Source Type: research