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.

Preliminary study of patient safety and quality use cases for ICD-11 MMS
ConclusionsThe examples from the patient safety and quality use cases evaluated in this study are appropriate for ICD-11 MMS. It captures greater detail than ICD-10-CM, and ICD-11 MMS specificity would benefit both use cases. The authors believe this preliminary study indicates the US should invest resources to explore adopting the WHO ICD-11 MMS and tooling and guidelines to implement post-coordination. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - September 2, 2021 Category: Information Technology Source Type: research

Health management via telemedicine: Learning from the COVID-19 experience
AbstractAt the onset of the COVID-19 (coronavirus disease 2019) pandemic, telemedicine was rapidly implemented to protect patients and healthcare providers from infection. It is unlikely that care delivery will fully return to the pre-COVID form. Telemedicine offers many opportunities to improve care efficiency, accessibility, and patient outcomes, but many challenges exist related to technology interoperability, the digital divide, and usability. We propose that telemedicine evolve to support continuity of care throughout the patient journey, including multidisciplinary care teams and the seamless integration of data into...
Source: Journal of the American Medical Informatics Association - August 30, 2021 Category: Information Technology Source Type: research

Mobile health technology to improve maternal health awareness in tribal populations: mobile for mothers
This study reports a quasi-controlled intervention to augment maternal health awareness among tribal pregnant mothers through the mHealth application. Households from 2 independent villages with similar socio-demographics in tribal regions of India were selected as intervention (Village A) and control group (Village B). The control group received government mandated programs through traditional means (orally), whereas the intervention group received the same education through mHealth utilization. Postintervention, awareness about tetanus injections and consumption of iron tablets was significantly (P <  .001) improv...
Source: Journal of the American Medical Informatics Association - August 30, 2021 Category: Information Technology Source Type: research

A survey of extant organizational and computational setups for deploying predictive models in health systems
ConclusionHealth systems will be able to use this framework to understand strengths and weaknesses of alternative organizational and computational setups when designing their strategy for artificial intelligence. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 23, 2021 Category: Information Technology Source Type: research

Natural Language Processing Enabling COVID-19 Predictive Analytics to Support Data-Driven Patient Advising and Pooled Testing
ConclusionSARS-CoV-2 testing predictive analytics and NLP successfully enabled data-driven patient advising and pooled testing. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 20, 2021 Category: Information Technology Source Type: research

Incorporating broadband durability in measuring geographic access to health care in the era of telehealth: A case example of the 2-step virtual catchment area (2SVCA) Method
AbstractThe COVID-19 (coronavirus disease 2019) pandemic has expanded telehealth utilization in unprecedented ways and has important implications for measuring geographic access to healthcare services. Established measures of geographic access to care have focused on the spatial impedance of patients in seeking health care that pertains to specific transportation modes and do not account for the underlying broadband network that supports telemedicine and e-health. To be able to measure the impact of telehealth on healthcare access, we created a pilot augmentation of existing methods to incorporate measures of broadband acc...
Source: Journal of the American Medical Informatics Association - August 20, 2021 Category: Information Technology Source Type: research

User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care
ConclusionUsing the NASSS framework to guide our user-centered design process, we identified patient and provider requirements for scaling an EHR-integrated remote symptom monitoring intervention in primary care. These requirements met the needs of patients and providers. Additional standards for PRO displays and EHR inbox APIs are needed to facilitate spread. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 18, 2021 Category: Information Technology Source Type: research

Multi-PheWAS intersection approach to identify sex differences across comorbidities in 59 140 pediatric patients with autism spectrum disorder
ConclusionsOur findings provide insights into female-enriched ASD comorbidities that are potentially important in diagnosis, as well as the identification of distinct comorbidity patterns influencing anticipatory treatment or referrals. The code is publicly available (https://github.com/hms-dbmi/sexDifferenceInASD). (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 18, 2021 Category: Information Technology Source Type: research

Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records
ConclusionsWe developed a novel approach for predicting PPH and identified clinical feature thresholds that can guide intrapartum monitoring for PPH risk. These results suggest that our model is an excellent candidate for prospective evaluation and could ultimately reduce PPH morbidity and mortality through early detection and prevention. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 18, 2021 Category: Information Technology Source Type: research

Developing machine learning models to personalize care levels among emergency room patients for hospital admission
ConclusionsUndertriaging admitted ED patients who subsequently require ICU care is common and associated with poorer outcomes. Machine learning models using readily available electronic health record data predict subsequent need for ICU admission with good discrimination, substantially better than the benchmarking ESI system. The results could be used in a multitiered clinical decision-support system to improve ED triage. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 17, 2021 Category: Information Technology Source Type: research

Predicting brain function status changes in critically ill patients via Machine learning
ConclusionThe inputs of the compact model are based on several simple questions that clinicians can quickly answer in practice, which demonstrates the model has direct prospective deployment potential into clinical practice, aiding in critical hospital resource allocation. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 17, 2021 Category: Information Technology Source Type: research

Corrigendum to: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records
Journal of the American Medical Informatics Association, Volume 27, Issue 10, October 2020, Pages 1529 –e1,https://doi.org/10.1093/jamia/ocaa106 (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 17, 2021 Category: Information Technology Source Type: research

From clinical trials to clinical practice: How long are drugs tested and then used by patients?
ConclusionsFor most of patients, the drug use length is shorter than the tested length in clinical trials. Still, a remarkable number of patients experienced extended drug exposure, particularly for drugs treating nervous system disorders or cardiovascular disorders. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 14, 2021 Category: Information Technology Source Type: research

To the Editor: Authors ’ response to “New approaches towards actionable mobile health evaluation” by John Torous and Sarah Lagan
Medibank Better Health Foundation (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 14, 2021 Category: Information Technology Source Type: research

A theory-based meta-regression of factors influencing clinical decision support adoption and implementation
ConclusionsOverall, a modified UTAUT model that includes motivational control is an appropriate model to understand psychological factors associated with CDS effectiveness and to guide CDS design, implementation, and optimization. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 13, 2021 Category: Information Technology Source Type: research