journal
MENU ▼
Read by QxMD icon Read
search

Journal of the American Medical Informatics Association: JAMIA

journal
https://read.qxmd.com/read/30990561/data-capacity-building-and-training-needs-to-address-rural-health-inequities-in-the-northwest-united-states-a-qualitative-study
#1
Betty Bekemeier, Seungeun Park, Uba Backonja, India Ornelas, Anne M Turner
OBJECTIVE: Rural public health system leaders struggle to access and use data for understanding local health inequities and to effectively allocate scarce resources to populations in need. This study sought to determine these rural public health system leaders' data access, capacity, and training needs. MATERIALS AND METHODS: We conducted qualitative interviews across Alaska, Idaho, Oregon, and Washington with individuals expected to use population data for analysis or decision-making in rural communities...
April 16, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30990526/assessing-the-collective-utility-of-multiple-analyses-on-clinical-alcohol-use-disorder-data
#2
Erich Kummerfeld, Alexander Rix, Justin J Anker, Matt G Kushner
OBJECTIVE: The objective of this study was to assess the potential of combining graph learning methods with latent variable estimation methods for mining clinically useful information from observational clinical data sets. MATERIALS AND METHODS: The data set contained self-reported measures of psychopathology symptoms from a clinical sample receiving treatment for alcohol use disorder. We used the traditional graph learning methods: Graphical Least Absolute Shrinkage and Selection Operator, and Friedman's hill climbing algorithm; traditional latent variable estimation method factor analysis; recently developed graph learning method Greedy Fast Causal Inference; and recently developed latent variable estimation method Find One Factor Clusters...
April 16, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30990522/a-review-of-measurement-practice-in-studies-of-clinical-decision-support-systems-1998-2017
#3
Philip J Scott, Angela W Brown, Taiwo Adedeji, Jeremy C Wyatt, Andrew Georgiou, Eric L Eisenstein, Charles P Friedman
OBJECTIVE: To assess measurement practice in clinical decision support evaluation studies. MATERIALS AND METHODS: We identified empirical studies evaluating clinical decision support systems published from 1998 to 2017. We reviewed titles, abstracts, and full paper contents for evidence of attention to measurement validity, reliability, or reuse. We used Friedman and Wyatt's typology to categorize the studies. RESULTS: There were 391 studies that met the inclusion criteria...
April 16, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30986823/successful-deployment-of-drug-disease-interaction-clinical-decision-support-across-multiple-kaiser-permanente-regions
#4
Jeff L Bubp, Michelle A Park, Joan Kapusnik-Uner, Thong Dang, Karl Matuszewski, Don Ly, Kevin Chiang, Sek Shia, Brian Hoberman
OBJECTIVE: The study sought to develop a criteria-based scoring tool for assessing drug-disease knowledge base content and creation of a subset and to implement the subset across multiple Kaiser Permanente (KP) regions. MATERIALS AND METHODS: In Phase I, the scoring tool was developed, used to create a drug-disease alert subset, and validated by surveying physicians and pharmacists from KP Northern California. In Phase II, KP enabled the alert subset in July 2015 in silent mode to collect alert firing rates and confirmed that alert burden was adequately reduced...
April 15, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30980667/reply-to-comment-on-deep-learning-for-pharmacovigilance-recurrent-neural-network-architectures-for-labeling-adverse-drug-reactions-in-twitter-posts
#5
Anne Cocos, Alexander G Fiks, Aaron J Masino
We appreciate the detailed review provided by Magge et al1 of our article, "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts." 2 In their letter, they present a subjective criticism that rests on concerns about our dataset composition and potential misinterpretation of comparisons to existing methods. Our article underwent two rounds of extensive peer review and has been cited 28 times1 in the nearly 2 years since it was published online (February 2017)...
April 13, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30958542/a-new-approach-and-gold-standard-toward-author-disambiguation-in-medline
#6
Dina Vishnyakova, Raul Rodriguez-Esteban, Fabio Rinaldi
OBJECTIVE: Author-centric analyses of fast-growing biomedical reference databases are challenging due to author ambiguity. This problem has been mainly addressed through author disambiguation using supervised machine-learning algorithms. Such algorithms, however, require adequately designed gold standards that reflect the reference database properly. In this study we used MEDLINE to build the first unbiased gold standard in a reference database and improve over the existing state of the art in author disambiguation...
April 8, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30958532/interventions-to-increase-patient-portal-use-in-vulnerable-populations-a-systematic-review
#7
Lisa V Grossman, Ruth M Masterson Creber, Natalie C Benda, Drew Wright, David K Vawdrey, Jessica S Ancker
BACKGROUND: More than 100 studies document disparities in patient portal use among vulnerable populations. Developing and testing strategies to reduce disparities in use is essential to ensure portals benefit all populations. OBJECTIVE: To systematically review the impact of interventions designed to: (1) increase portal use or predictors of use in vulnerable patient populations, or (2) reduce disparities in use. MATERIALS AND METHODS: A librarian searched Ovid MEDLINE, EMBASE, CINAHL, and Cochrane Reviews for studies published before September 1, 2018...
April 8, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30947331/patient-portal-utilization-before-and-after-stage-2-electronic-health-record-meaningful-use
#8
Kea Turner, Young-Rock Hong, Sandhya Yadav, Jinhai Huo, Arch G Mainous
OBJECTIVE: Patient portal functionalities, such as patient-physician e-communication, can benefit patients by improving clinical outcomes. Utilization has historically been low but may have increased in recent years due to the implementation of Stage 2 Meaningful Use for electronic health records. This study has 2 objectives: 1) to compare patient portal utilization rates before Stage 2 (2011-2013) and after Stage 2 (2014-2017), and 2) to examine whether disparities in patient portal utilization attenuate after Stage 2...
April 4, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30946478/can-menstrual-health-apps-selected-based-on-users-needs-change-health-related-factors-a-double-blind-randomized-controlled-trial
#9
Jisan Lee, Jeongeun Kim
OBJECTIVE: Most healthcare providers are reluctant to use health apps for healthcare because there is no rigorous way of choosing the best app for their patient or consumer. Accordingly, we developed a new method of app selection that fully considers target users' needs. This study verified whether health apps selected based on target users' needs can influence health-related factors. MATERIALS AND METHODS: We conducted a randomized control trial of women with dysmenorrhea and premenstrual syndrome using App A (the best app selected using the new method) and App B (the app with the highest number of users worldwide)...
April 4, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30946466/clinical-impact-of-intraoperative-electronic-health-record-downtime-on-surgical-patients
#10
Andrew M Harrison, Rizwan Siwani, Brian W Pickering, Vitaly Herasevich
OBJECTIVE: Despite increased use of electronic health records (EHRs), the clinical impact of system downtime is unknown. MATERIALS AND METHODS: This retrospective matched cohort study evaluated the impact of EHR downtime episodes lasting more than 60 minutes over a 6-year study period. Patients age 18 years or older who underwent surgical procedures at least 60 minutes in duration with an inpatient stay exceeding 24 hours within the study period were eligible for inclusion...
April 4, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30946464/patient-experience-with-family-history-tool-analysis-of-patients-experience-sharing-their-family-health-history-through-patient-computer-dialogue-in-a-patient-portal
#11
Adarsha S Bajracharya, Bradley H Crotty, Hollis B Kowoloff, Charles Safran, Warner V Slack
OBJECTIVE: The collection and use of a family health history are important for assessing the patient's risk of disease, but history taking is often impeded by practical barriers in the office. Provision for patient-computer dialogue, linked with the electronic health record, may enable patients to contribute their history while bypassing these barriers. We sought to assess the patient experience using such a tool. MATERIALS AND METHODS: We linked the family history module of a computer-based medical history to the patient portal of a large academic health system...
April 4, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30938761/an-investigation-of-single-domain-and-multidomain-medication-and-adverse-drug-event-relation-extraction-from-electronic-health-record-notes-using-advanced-deep-learning-models
#12
Fei Li, Hong Yu
OBJECTIVE: We aim to evaluate the effectiveness of advanced deep learning models (eg, capsule network [CapNet], adversarial training [ADV]) for single-domain and multidomain relation extraction from electronic health record (EHR) notes. MATERIALS AND METHODS: We built multiple deep learning models with increased complexity, namely a multilayer perceptron (MLP) model and a CapNet model for single-domain relation extraction and fully shared (FS), shared-private (SP), and adversarial training (ADV) modes for multidomain relation extraction...
April 2, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30938759/data-linkages-between-patient-powered-research-networks-and-health-plans-a-foundation-for-collaborative-research
#13
Abiy Agiro, Xiaoxue Chen, Biruk Eshete, Rebecca Sutphen, Elizabeth Bourquardez Clark, Cristina M Burroughs, W Benjamin Nowell, Jeffrey R Curtis, Sara Loud, Robert McBurney, Peter A Merkel, Antoine G Sreih, Kalen Young, Kevin Haynes
OBJECTIVE: Patient-powered research networks (PPRNs) are a valuable source of patient-generated information. Diagnosis code-based algorithms developed by PPRNs can be used to query health plans' claims data to identify patients for research opportunities. Our objective was to implement privacy-preserving record linkage processes between PPRN members' and health plan enrollees' data, compare linked and nonlinked members, and measure disease-specific confirmation rates for specific health conditions...
April 2, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30938756/disposition-toward-privacy-and-information-disclosure-in-the-context-of-emerging-health-technologies
#14
Cynthia E Schairer, Cynthia Cheung, Caryn Kseniya Rubanovich, Mildred Cho, Lorrie Faith Cranor, Cinnamon S Bloss
OBJECTIVE: We sought to present a model of privacy disposition and its development based on qualitative research on privacy considerations in the context of emerging health technologies. MATERIALS AND METHODS: We spoke to 108 participants across 44 interviews and 9 focus groups to understand the range of ways in which individuals value (or do not value) control over their health information. Transcripts of interviews and focus groups were systematically coded and analyzed in ATLAS...
April 2, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30938754/the-complex-case-of-ehrs-examining-the-factors-impacting-the-ehr-user-experience
#15
Michael A Tutty, Lindsey E Carlasare, Stacy Lloyd, Christine A Sinsky
Physicians can spend more time completing administrative tasks in their electronic health record (EHR) than engaging in direct face time with patients. Increasing rates of burnout associated with EHR use necessitate improvements in how EHRs are developed and used. Although EHR design often bears the brunt of the blame for frustrations expressed by physicians, the EHR user experience is influenced by a variety of factors, including decisions made by entities other than the developers and end users, such as regulators, policymakers, and administrators...
April 2, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30938751/does-an-interactive-trust-enhanced-electronic-consent-improve-patient-experiences-when-asked-to-share-their-health-records-for-research-a-randomized-trial
#16
Christopher A Harle, Elizabeth H Golembiewski, Kiarash P Rahmanian, Babette Brumback, Janice L Krieger, Kenneth W Goodman, Arch G Mainous, Ray E Moseley
OBJECTIVE: In the context of patient broad consent for future research uses of their identifiable health record data, we compare the effectiveness of interactive trust-enhanced e-consent, interactive-only e-consent, and standard e-consent (no interactivity, no trust enhancement). MATERIALS AND METHODS: A randomized trial was conducted involving adult participants making a scheduled primary care visit. Participants were randomized into 1 of the 3 e-consent conditions...
April 2, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30925592/estimating-the-impact-of-deploying-an-electronic-clinical-decision-support-tool-as-part-of-a-national-practice-improvement-project
#17
Ellen K Kerns, Vincent S Staggs, Sarah D Fouquet, Russell J McCulloh
OBJECTIVE: Estimate the impact on clinical practice of using a mobile device-based electronic clinical decision support (mECDS) tool within a national standardization project. MATERIALS AND METHODS: An mECDS tool (app) was released as part of a change package to provide febrile infant management guidance to clinicians. App usage was analyzed using 2 measures: metric hits per case (metric-related screen view count divided by site-reported febrile infant cases in each designated market area [DMA] monthly) and cumulative prior metric hits per site (DMA metric hits summed from study month 1 until the month preceding the index, divided by sites in the DMA)...
March 29, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30925587/a-federated-ehr-network-data-completeness-tracking-system
#18
Hossein Estiri, Jeffrey G Klann, Sarah R Weiler, Ernest Alema-Mensah, R Joseph Applegate, Galina Lozinski, Nandan Patibandla, Kun Wei, William G Adams, Marc D Natter, Elizabeth O Ofili, Brian Ostasiewski, Alexander Quarshie, Gary E Rosenthal, Elmer V Bernstam, Kenneth D Mandl, Shawn N Murphy
OBJECTIVE: The study sought to design, pilot, and evaluate a federated data completeness tracking system (CTX) for assessing completeness in research data extracted from electronic health record data across the Accessible Research Commons for Health (ARCH) Clinical Data Research Network. MATERIALS AND METHODS: The CTX applies a systems-based approach to design workflow and technology for assessing completeness across distributed electronic health record data repositories participating in a queryable, federated network...
March 29, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30925585/role-of-provider-encouragement-on-patient-engagement-via-online-portals
#19
Sandhya V Shimoga, Yang Z Lu
OBJECTIVE: The study sought to examine whether provider encouragement is associated with improvements in engaging patients with their healthcare processes using online portals. MATERIALS AND METHODS: Using the Health Information National Trends Survey 2017 (N = 2, 670), we conducted an exploratory factor analysis with varimax orthogonal rotation and derived 3 outcome variables on patient engagement: (1) information access score, (2) care convenience score, and (3) patient engagement score...
March 29, 2019: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/30924875/racial-and-ethnic-disparities-in-use-of-a-personal-health-record-by-veterans-living-with-hiv
#20
Sarah J Javier, Lara K Troszak, Stephanie L Shimada, D Keith McInnes, Michael E Ohl, Tigran Avoundjian, Taryn A Erhardt, Amanda M Midboe
OBJECTIVE: To examine sociodemographic characteristics associated with use of My HealtheVet (MHV) by veterans living with HIV. MATERIALS AND METHODS: Veterans Health Administration administrative data were used to identify a cohort of veterans living with HIV in fiscal years 2011-2017. Descriptive analyses were conducted to examine demographic characteristics and racial/ethnic differences in MHV registration and tool use. Chi-Square tests were performed to assess associations between race/ethnicity and MHV registration and tool use...
March 28, 2019: Journal of the American Medical Informatics Association: JAMIA
journal
journal
31917
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"