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Journal of the American Medical Informatics Association: JAMIA

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https://www.readbyqxmd.com/read/30016449/online-peer-support-groups-for-family-caregivers-are-they-reaching-the-caregivers-with-the-greatest-needs
#1
Esther M Friedman, Thomas E Trail, Christine Anne Vaughan, Terri Tanielian
Background: Online peer support groups are an increasingly common venue for caregivers supporting disabled family members to exchange informational, emotional, and instrumental support. We know very little, however, about who uses these groups and whether they are reaching those with the greatest needs. Objective: To examine whether caregiving factors (ie, caregiving demands and strain, competing demands, access to support and services, and other caregiving characteristics) are related to online community support use and intensity of use...
July 16, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30010943/rejoinder-to-ethical-issues-in-the-use-of-sms-messaging-in-hiv-care-and-treatment-in-low-and-middle-income-countries
#2
Celso A Inguane, Rassul Nalá
No abstract text is available yet for this article.
July 12, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30010941/conversational-agents-in-healthcare-a-systematic-review
#3
Liliana Laranjo, Adam G Dunn, Huong Ly Tong, Ahmet Baki Kocaballi, Jessica Chen, Rabia Bashir, Didi Surian, Blanca Gallego, Farah Magrabi, Annie Y S Lau, Enrico Coiera
Objective: Our objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related purposes. Methods: We searched PubMed, Embase, CINAHL, PsycInfo, and ACM Digital using a predefined search strategy. Studies were included if they focused on consumers or healthcare professionals; involved a conversational agent using any unconstrained natural language input; and reported evaluation measures resulting from user interaction with the system...
July 11, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30010902/learning-predictive-models-of-drug-side-effect-relationships-from-distributed-representations-of-literature-derived-semantic-predications
#4
Justin Mower, Devika Subramanian, Trevor Cohen
Objective: The aim of this work is to leverage relational information extracted from biomedical literature using a novel synthesis of unsupervised pretraining, representational composition, and supervised machine learning for drug safety monitoring. Methods: Using ≈80 million concept-relationship-concept triples extracted from the literature using the SemRep Natural Language Processing system, distributed vector representations (embeddings) were generated for concepts as functions of their relationships utilizing two unsupervised representational approaches...
July 11, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30010887/gaps-in-health-information-exchange-between-hospitals-that-treat-many-shared-patients
#5
Jordan Everson, Julia Adler-Milstein
Objective: Hospitals that routinely share patients are those that most critically need to engage in electronic health information exchange (HIE) with each other to ensure clinical information is available to inform treatment decisions. We surveyed pairs of hospitals in a nationwide sample to describe whether and how hospitals within each hospital referral region (HRR) that have the highest shared patient (HSP) volume engaged in HIE with each other. Methods: We used Medicare's Physician Shared Patient Patterns data to identify hospital pairs with the highest shared patient volume in each hospital referral region...
July 11, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29986107/research-use-of-electronic-health-records-patients-perspectives-on-contact-by-researchers
#6
Kathleen M Brelsford, Susan E Spratt, Laura M Beskow
Objective: The use of electronic health records (EHRs) for research has the potential to improve the diagnosis and treatment of disease, yet contact with patients based on results of EHR phenotyping has received little attention. Researchers will almost certainly discover discrepancies in EHRs that call for resolution and, in some cases, raise the ethical dilemma of whether to contact patients about a potentially undiagnosed or untreated health concern. The objective of this study was to explore patients' attitudes and opinions about potential contact by researchers who have had access to their EHRs...
July 6, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29982687/assessing-the-impact-of-health-system-organizational-structure-on-hospital-electronic-data-sharing
#7
A Jay Holmgren, Eric W Ford
Objective: Horizontal consolidation in the hospital industry has gained momentum in the United States despite concerns over rising costs and lower quality. Hospital systems frequently point to potential gains in interoperability and electronic exchange of patient information as consolidation benefits. We sought to assess whether hospitals in different health system structures varied in their interoperable data sharing. Materials and methods: We created a cross-sectional national hospital sample from the 2014 AHA Annual Survey and 2015 IT Supplement...
July 4, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29982627/clinical-decision-support-directed-to-primary-care-patients-and-providers-reduces-cardiovascular-risk-a-randomized-trial
#8
JoAnn M Sperl-Hillen, A Lauren Crain, Karen L Margolis, Heidi L Ekstrom, Deepika Appana, Gerald Amundson, Rashmi Sharma, Jay R Desai, Patrick J O'Connor
Objective: To test the hypothesis that use of a clinical decision support (CDS) system in a primary care setting can reduce cardiovascular (CV) risk in patients. Materials and Methods: Twenty primary care clinics were randomly assigned to usual care (UC) or CDS. For CDS clinic patients identified algorithmically with high CV risk, rooming staff were prompted by the electronic health record (EHR) to print CDS that identified evidence-based treatment options for lipid, blood pressure, weight, tobacco, or aspirin management and prioritized them based on potential benefit to the patient...
July 3, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29982523/effectiveness-of-provider-price-display-in-computerized-physician-order-entry-cpoe-on-healthcare-quality-a-systematic-review
#9
Srinivas R Mummadi, Raghavendra Mishra
Objective: To study the association between Electronic Health Record (EHR)/Computerized Physician Order Entry (CPOE) provider price display, and domains of healthcare quality (efficiency, effective care, patient centered care, patient safety, equitable care, and timeliness of care). Methods: Randomized and non-randomized studies assessing the relationship between healthcare quality domains and EHR/CPOE provider price display published between 1/1/1980 to 2/1/2018 were included...
July 3, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29982512/a-systematic-assessment-of-the-availability-and-clinical-drug-information-coverage-of-machine-readable-clinical-drug-data-sources-for-building-knowledge-translation-products
#10
Catherine Anne Grandy, Jennifer R Donnan, Justin T Peddle, Kristen Romme, Satpyul Kim, John-Michael Gamble
Objective: To identify and describe clinical drug data sources that have the potential to serve as a repository of information for developing drug knowledge translation products. Methods: Two reviewers independently screened citations from PubMed and Embase, websites from the web search engine Google, and references from selected journals. Publicly licensed or non-proprietary data sources containing clinical drug information accessible in a machine-readable format were eligible...
July 3, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29982549/a-usability-and-safety-analysis-of-electronic-health-records-a-multi-center-study
#11
Raj M Ratwani, Erica Savage, Amy Will, Ryan Arnold, Saif Khairat, Kristen Miller, Rollin J Fairbanks, Michael Hodgkins, A Zachary Hettinger
To characterize the variability in usability and safety of EHRs from two vendors across four healthcare systems (2 Epic and 2 Cerner). Twelve to 15 emergency medicine physicians participated from each site and completed six clinical scenarios. Keystroke, mouse click, and video data were collected. From the six scenarios, two diagnostic imaging, laboratory, and medication tasks were analyzed. There was wide variability in task completion time, clicks, and error rates. For certain tasks, there were an average of a nine-fold difference in time and eight-fold difference in clicks...
July 2, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29982659/opennotes-and-shared-decision-making-a-growing-practice-in-clinical-transparency-and-how-it-can-support-patient-centered-care
#12
Alan J Fossa, Sigall K Bell, Catherine DesRoches
Objective: Prior studies suggest inviting patients to read their visit notes (OpenNotes) has important benefits for patient engagement. We utilized survey data to investigate our hypothesis that patients who read more notes would report greater shared decision making (SDM). Materials and Methods: Our survey focused on the safety and quality implications of OpenNotes. 24 722 patients at an urban healthcare organization were invited to complete the survey, which included an item assessing the number of notes read and the CollaboRATE scale to measure SDM...
June 29, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29982520/using-wearable-technology-to-predict-health-outcomes-a-literature-review
#13
Jason P Burnham, Chenyang Lu, Lauren H Yaeger, Thomas C Bailey, Marin H Kollef
Objective: To review and analyze the literature to determine whether wearable technologies can predict health outcomes. Materials and methods: We queried Ovid Medline 1946 -, Embase 1947 -, Scopus 1823 -, the Cochrane Library, clinicaltrials.gov 1997 - April 17, 2018, and IEEE Xplore Digital Library and Engineering Village through April 18, 2018, for studies utilizing wearable technology in clinical outcome prediction. Studies were deemed relevant to the research question if they involved human subjects, used wearable technology that tracked a health-related parameter, and incorporated data from wearable technology into a predictive model of mortality, readmission, and/or emergency department (ED) visits...
June 29, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29982511/identifying-surgical-site-infections-in-electronic-health-data-using-predictive-models
#14
Robert W Grundmeier, Rui Xiao, Rachael K Ross, Mark J Ramos, Dean J Karavite, Jeremy J Michel, Jeffrey S Gerber, Susan E Coffin
Objective: The objective was to prospectively derive and validate a prediction rule for detecting cases warranting investigation for surgical site infections (SSI) after ambulatory surgery. Methods: We analysed electronic health record (EHR) data for children who underwent ambulatory surgery at one of 4 ambulatory surgical facilities. Using regularized logistic regression and random forests, we derived SSI prediction rules using 30 months of data (derivation set) and evaluated performance with data from the subsequent 10 months (validation set)...
June 29, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29961858/reining-in-the-qtc-reducing-the-risk-of-torsades-de-pointes-across-a-major-health-system
#15
Dora Cheung, Jonathan Pell, Gary Hale, Ethan Cumbler
Hospitalized patients have a high prevalence of prolonged QTc and are a high-risk population for Torsades de Pointes (TdP). One modifiable risk factor for TdP is the use of QT prolonging drugs. Electronically alerting providers who are ordering QT prolonging drugs in at-risk patients may help to achieve safer prescribing practices. Our previous study decreased inappropriate prescription of IV haloperidol by 36% using a targeted "smart" electronic alert. We wanted to assess an approach to expanding this type of electronic alert to commonly used QT prolonging medications and evaluate how this would affect prescribing practice...
June 28, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29947805/unstructured-clinical-documentation-reflecting-cognitive-and-behavioral-dysfunction-toward-an-ehr-based-phenotype-for-cognitive-impairment
#16
Andrea L Gilmore-Bykovskyi, Laura M Block, Lily Walljasper, Nikki Hill, Carey Gleason, Manish N Shah
Despite increased risk for negative outcomes, cognitive impairment (CI) is greatly under-detected during hospitalization. While automated EHR-based phenotypes have potential to improve recognition of CI, they are hindered by widespread under-diagnosis of underlying etiologies such as dementia-limiting the utility of more precise structured data elements. This study examined unstructured data on symptoms of CI in the acute-care EHRs of hip and stroke fracture patients with dementia from two hospitals. Clinician reviewers identified and classified unstructured EHR data using standardized criteria...
June 27, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29939271/the-national-cost-of-adverse-drug-events-resulting-from-inappropriate-medication-related-alert-overrides-in-the-united-states
#17
Sarah P Slight, Diane L Seger, Calvin Franz, Adrian Wong, David W Bates
Objective: To estimate the national cost of ADEs resulting from inappropriate medication-related alert overrides in the U.S. inpatient setting. Materials and Methods: We used three different regression models (Basic, Model 1, Model 2) with model inputs taken from the medical literature. A random sample of 40 990 adult inpatients at the Brigham and Women's Hospital (BWH) in Boston with a total of 1 639  294 medication orders was taken. We extrapolated BWH medication orders using 2014 National Inpatient Sample (NIS) data...
June 22, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29931318/corrigendum-to-a-snapshot-of-health-information-exchange-across-five-nations-an-investigation-of-frontline-clinician-experiences-in-emergency-care
#18
(no author information available yet)
No abstract text is available yet for this article.
June 21, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29905826/a-visual-analytics-approach-for-pattern-recognition-in-patient-generated-data
#19
Daniel J Feller, Marissa Burgermaster, Matthew E Levine, Arlene Smaldone, Patricia G Davidson, David J Albers, Lena Mamykina
Objective: To develop and test a visual analytics tool to help clinicians identify systematic and clinically meaningful patterns in patient-generated data (PGD) while decreasing perceived information overload. Methods: Participatory design was used to develop Glucolyzer, an interactive tool featuring hierarchical clustering and a heatmap visualization to help registered dietitians (RDs) identify associative patterns between blood glucose levels and per-meal macronutrient composition for individuals with type 2 diabetes (T2DM)...
June 13, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29893864/opportunities-and-challenges-in-developing-deep-learning-models-using-electronic-health-records-data-a-systematic-review
#20
Cao Xiao, Edward Choi, Jimeng Sun
Objective: To conduct a systematic review of deep learning models for electronic health record (EHR) data, and illustrate various deep learning architectures for analyzing different data sources and their target applications. We also highlight ongoing research and identify open challenges in building deep learning models of EHRs. Design/method: We searched PubMed and Google Scholar for papers on deep learning studies using EHR data published between January 1, 2010, and January 31, 2018...
June 8, 2018: Journal of the American Medical Informatics Association: JAMIA
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