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.

A framework for making predictive models useful in practice
ConclusionAn analysis of the sensitivity of the net benefit realized by a predictive model triggered clinical workflow to various healthcare delivery factors is necessary for making predictive models useful in practice. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - December 22, 2020 Category: Information Technology Source Type: research

Developing a standardized protocol for computational sentiment analysis research using health-related social media data
ConclusionsA substantial degree of methodological and reporting inconsistencies exist in the extant literature that applied sentiment analysis to analyzing health-related social media data. The PATH protocol developed through this research may contribute to mitigating such issues in future relevant studies. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - December 22, 2020 Category: Information Technology Source Type: research

A call to strengthen data in response to COVID-19 and beyond
AbstractThe COVID-19 (coronavirus disease 2019) pandemic has underscored the critical need for all countries to strengthen their health data and information systems and ensure the routes the data travel, from submission to use, are unobstructed. Timely, credible, reliable, and actionable data are key to ensuring that political decisions are data driven and facilitate understanding, monitoring, and forecasting. To ensure that critical decisions related to the wider health and socioeconomic effects of this pandemic are data driven, each country needs to develop or enhance a national data governance plan that includes a clear...
Source: Journal of the American Medical Informatics Association - December 22, 2020 Category: Information Technology Source Type: research

Trust and medical AI: the challenges we face and the expertise needed to overcome them
This article makes 2 contributions. First, it describes the major conceptual, technical, and humanistic challenges in medical AI. Second, it proposes a solution that hinges on the education and accreditation of new expert groups who specialize in the development, verification, and operation of medical AI technologies. These groups will be required to maintain trust in our healthcare institutions. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - December 19, 2020 Category: Information Technology Source Type: research

Building the evidence-base to reduce electronic health record –related clinician burden
AbstractClinicians face competing pressures of being clinically productive while using imperfect electronic health record (EHR) systems and maximizing face-to-face time with patients. EHR use is increasingly associated with clinician burnout and underscores the need for interventions to improve clinicians ’ experiences. With an aim of addressing this need, we share evidence-based informatics approaches, pragmatic next steps, and future research directions to improve 3 of the highest contributors to EHR burden: (1) documentation, (2) chart review, and (3) inbox tasks. These approaches leverage speec h recognition technolo...
Source: Journal of the American Medical Informatics Association - December 19, 2020 Category: Information Technology Source Type: research

A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions
In this study based on an electronic health record cohort of consecutive inpatient cases of a single tertiar y care center, we demonstrate that accurate prediction of hospital readmissions may be obtained by general, disease-independent, ML models. This general approach may substantially decrease the cost of development and deployment of respective ML models in daily clinical routine, as all predictions ar e obtained by the use of a single model. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - December 18, 2020 Category: Information Technology Source Type: research

Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records
ConclusionOur algorithm for building longitudinal dose data provides a straightforward way to use EHR data for medication-based studies. The external validation results suggest its potential for applicability to other systems. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - December 18, 2020 Category: Information Technology Source Type: research

Reply to Rousseau and Tierney
Dear Editors of theJournal of the American Medical Informatics Association, (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - December 16, 2020 Category: Information Technology Source Type: research

Telemedicine, privacy, and information security in the age of COVID-19
The spread of COVID-19 has resulted in unprecedented circumstances that have necessitated a shift toward adopting infrastructure for telemedicine, due in large part to the inaccessibility of traditional care services and high exposure risks of in-person healthcare visits. With the increased strain and demand on traditional medical resources, telemedicine has emerged as an essential component of clinical care delivery and many healthcare organizations are reporting substantial increases in telemedicine use. For example, 1 medical center in New York City saw an increase in urgent care virtual visits from a pre-COVID-19 avera...
Source: Journal of the American Medical Informatics Association - December 16, 2020 Category: Information Technology Source Type: research

Clinician involvement in research on machine learning –based predictive clinical decision support for the hospital setting: A scoping review
ConclusionsIf present, clinical expert involvement is most prevalent when predictive CDSS specifications are made or when system implementations are evaluated. However, clinical experts are less prevalent in developmental stages to verify clinical correctness, select model features, preprocess data, or serve as a gold standard. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - December 16, 2020 Category: Information Technology Source Type: research

Letter to the editor in response to “Risk prediction of delirium in hospitalized patients using machine learning: an implementation and prospective evaluation study”
Dear JAMIA Editors, (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - December 16, 2020 Category: Information Technology Source Type: research

Response to authors of “Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic”
RE: Barriers to Hospital Electronic Public Health Reporting and Implications for the COVID-19 Pandemic,JAMIA,https://doi.org/10.1093/jamia/ocaa112 (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - October 1, 2020 Category: Information Technology Source Type: research

Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic: the authors ’ reply
We appreciate the productive discussion about our article,Barriers to Hospital Electronic Public Health Reporting and Implications for the COVID-19 Pandemic, which serves to advance efforts to strengthen information sharing between hospitals and public health agencies. The letter by Staes et al raises important considerations and contributes to a useful dialogue regarding the current state and barriers to hospital –public health agency electronic data sharing as well as opportunities to increase knowledge of extant public health capabilities and foster more comprehensive utilization of those capabilities. We agree that t...
Source: Journal of the American Medical Informatics Association - October 1, 2020 Category: Information Technology Source Type: research

Preserving privacy for pediatric patients and families: use of confidential note types in pediatric ambulatory care
ConclusionA confidential clinic note feature is an integral aspect of pediatric open notes implementation. This feature supports protection of confidential information pertaining to our patients and their caregivers. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - September 29, 2020 Category: Information Technology Source Type: research

Uncovering the relationship between food-related discussion on Twitter and neighborhood characteristics
ConclusionsTwitter provided weak but significant signals concerning food-related behavior and attitudes at the neighborhood level, suggesting its potential usefulness for informing local health disparity reduction efforts. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - October 21, 2019 Category: Information Technology Source Type: research