Exploring the Readability of Ingredients Lists of Food Labels with Existing Metrics
We report a broad variability for in readability using different metrics: ingredients lists recorded at a 9th grade reading level or higher to comprehend are found at rates of 16.5% (Automated Reading Index) to 74.9% (Gunning-Fog Index). Ingredients lists recorded at a 10th grade reading level or higher to comprehend are found at rates of 84.2% (using FRE Index). These results demonstrate the need to further explore how ingredients lists can be measured for readability, both for the purposes of consumer understanding as well as for supporting future nutrition research involving text mining.PMID:35854712 | PMC:PMC9285159 (S...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Kathryn Cooper William Gasper Ricky Flores Martina Clarke Erin Bass Leslie Evans Jana Ponce Source Type: research

Integrating Patient-generated Digital Health Data into Electronic Health Records (EHRs) in Ambulatory Care Settings: EHR Vendor Survey and Interviews
AMIA Annu Symp Proc. 2022 May 23;2022:439-445. eCollection 2022.ABSTRACTData traditionally collected in a clinic or hospital setting is now collected electronically in everyday environments from patients, known as patient-generated health data (PGHD). We conducted informal interviews and collected survey data from major ambulatory care EHR vendors that serve the majority of the U.S. market to collect information on how their clients are integrating PGHD into EHRs. Of the 9 EHR vendors contacted, 6 completed the survey and 5 participated in a 45-minute interview. Feedback from the vendors included how PGHD use has steadily ...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Ryan J Shaw Mina Boazak Victoria Tiase Gloria Porter Jedrek Wosik Sarah Bumatay LeAnn Michaels Julie Stone Deborah Cohen Rowena Dolor Source Type: research

A Privacy-Preserved Transfer Learning Concept to Predict Diabetic Kidney Disease at Out-of-Network Siloed Sites Using an In-Network Federated Model on Real-World Data
AMIA Annu Symp Proc. 2022 May 23;2022:264-273. eCollection 2022.ABSTRACTSuccessful implementation of data-driven artificial intelligence (AI) applications requires access to large datasets. Healthcare institutions can establish coordinated data-sharing networks to address the complexity of large clinical data accessibility for scientific advancements. However, persisting challenges from controlled access, safe data transferring, license restrictions from regulatory and legal concerns discourage data sharing among the in-network hospitals. In contrast, out-of-network healthcare institutions are deprived of access to any big...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Humayera Islam Khuder Alaboud Tanmoy Paul Md Kamruz Zaman Rana Abu Mosa Source Type: research

Multi-Site Testing of an Opioid Prescribing Electronic Clinical Quality Measure Following Elective Primary Total Hip and/or Total Knee Arthroplasties
AMIA Annu Symp Proc. 2022 May 23;2022:414-421. eCollection 2022.ABSTRACTAs the United States faces the third wave of the ongoing opioid epidemic, development of measures which report on prolonged opioid prescribing (POP) rates, specifically following orthopedic surgeries, are needed to better understand and improve prescribing practices at the clinician group level. Brigham and Women's Hospital (BWH) has been contracted by the Centers for Medicare and Medicaid Services (CMS) to create a novel electronic clinical quality measure (eCQM) to quantify the prolonged opioid prescribing rate of opioid episodes lasting > 42 days...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Avery Pullman Mica Curtin-Bowen Ania Syrowatka Alexandra Businger Michael Sainlaire Stuart Lipsitz Tien Thai Troy Li David W Bates Patricia C Dykes Source Type: research

Improving Pharmacovigilance Signal Detection from Clinical Notes with Locality Sensitive Neural Concept Embeddings
AMIA Annu Symp Proc. 2022 May 23;2022:349-358. eCollection 2022.ABSTRACTAlthough pharmaceutical products undergo clinical trials to profile efficacy and safety, some adverse drug reactions (ADRs) are only discovered after release to market. Post-market drug safety surveillance - pharmacovigilance - leverages information from various sources to proactively identify such ADRs. Clinical notes are one source of observational data that could assist this process, but their inherent complexity can obfuscate possible ADR signals. In previous research, embeddings trained on observational reports have improved detection of such sign...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Justin Mower Elmer Bernstam Hua Xu Sahiti Myneni Devika Subramanian Trevor Cohen Source Type: research

Clinical Data Cohort Quality Improvement: The Case of the Medication Data in The University of Minnesota's Clinical Data Repository
AMIA Annu Symp Proc. 2022 May 23;2022:293-302. eCollection 2022.ABSTRACTClinical and translational research centers (CTRCs) have emerged as key centers for electronic medical record related research through integrated data repositories (IDRs) and the 'secondary use' of clinical data. Researchers accessing and pre-processing ever increasing amounts of electronic medical records for data mining tasks have a growing need for best practice approaches for clinical data quality assessment and improvement. This project focused on a large data extract for 7 statin medication prescriptions for patients with cardiovascular disease. ...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Sebastien D Kiogou Chih-Lin Chi Rui Zhang Sisi Ma Terrence J Adam Source Type: research

Comparison of Alexa Voice and Audio Video Interfaces for Home-Based Physical Telerehabilitation
AMIA Annu Symp Proc. 2022 May 23;2022:496-503. eCollection 2022.ABSTRACTThe goal of this pilot study was to compare Alexa voice and video interfaces for home-based telerehabilitation dialog by conducting cognitive walkthrough testing. All task performance scores were higher in video interface as compared to the audio interface. The overall task score was significantly higher for video interface (42.4±4.6) as compared to the audio score (41.3±5.9). Comparative usability survey demonstrated higher preference of the video interface as compared to the audio interface. Based in the comparative survey, 85.7% stated they defini...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Chenhao Wei Joseph Finkelstein Source Type: research

ECG and SpO < sub > 2 < /sub > Signal-Based Real-Time Sleep Apnea Detection Using Feed-Forward Artificial Neural Network
AMIA Annu Symp Proc. 2022 May 23;2022:379-385. eCollection 2022.ABSTRACTSleep apnea (SA) is a common sleep disorder characterized by respiratory disturbance during sleep. Polysomnography (PSG) is the gold standard for apnea diagnosis, but it is time-consuming, expensive, and requires manual scoring. As an alternative to PSG, we investigated a real-time SA detection system using oxygen saturation level (SpO2) and electrocardiogram (ECG) signals individually as well as a combination of both. A series of R-R intervals were derived from the raw ECG data and a feed-forward deep artificial neural network is employed for the dete...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Tanmoy Paul Omiya Hassan Khuder Alaboud Humayera Islam Md Kamruz Zaman Rana Syed K Islam Abu S M Mosa Source Type: research

Advancing Interoperability of Patient-level Social Determinants of Health Data to Support COVID-19 Research
In this report, we describe a pragmatic design and approach to explore the encoding needs for transmitting SDoH screening tool responses from a large safety-net hospital into the National Covid Cohort Collaborative (N3C) OMOP dataset. We provide a stepwise account of designing data mapping and ingestion for patient-level SDoH and summarize the results of screening. Our approach demonstrates that sharing of these important data - typically stored as non-standard, EHR vendor specific codes - is feasible. As SDoH screening gains broader use nationally, the approach described in this paper could be used for other screening ins...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Jimmy Phuong Stephanie Hong Matvey B Palchuk Juan Espinoza Daniella Meeker David A Dorr Galina Lozinski Charisse Madlock-Brown William G Adams Source Type: research

Predicting Hormonal Therapy Medication Discontinuation for Breast Cancer Patients using Structured Data in Electronic Medical Records
AMIA Annu Symp Proc. 2022 May 23;2022:359-368. eCollection 2022.ABSTRACTHormonal therapy (HT) reduces the risk of cancer recurrence and the mortality rate for patients with hormone-receptor-positive breast cancer. However, it is estimated that half of the patients fail to complete the standard 5-year adjuvant treatment protocol. We investigate the extent to which certain types of structured data in electronic medical records (EMRs), namely conditions, drugs, laboratory tests and procedures, as well as when such data is entered EMRs, can forecast HT discontinuation. Our experiments with EMR data from 2,251 patients showed t...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Congning Ni Jeremy L Warner Bradley A Malin Zhijun Yin Source Type: research

< em > gene2gauss < /em > : A multi-view gaussian gene embedding learner for analyzing transcriptomic networks
We present gene2gauss, a novel feature learning framework that is capable of embedding genes as multivariate gaussian distributions by taking into account their long-range interaction neighborhoods across multiple transcriptomic studies. Using multiple gene co-expression networks from idiopathic pulmonary fibrosis, we demonstrate that these multi-dimensional gaussian features are suitable for identifying regulons of known transcription factors (TF). Using standard TF-target libraries, we demonstrate that the features from our method are highly relevant in comparison with other feature learning approaches on transcriptomic ...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Sudhir Ghandikota Anil G Jegga Source Type: research

Moving from predicting hospital deaths by antibiotic-resistant bloodstream bacteremia toward actionable risk reduction using machine learning on electronic health records
In conclusion, current risk scores for bacteremia mortality can be improved and, with opportune causal modelling, considered for deployment in clinical decision-making.PMID:35854723 | PMC:PMC9285157 (Source: AMIA Annual Symposium Proceedings)
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Inyoung Jun Shannan N Rich Simone Marini Zheng Feng Jiang Bian J Glenn Morris Mattia Prosperi Source Type: research

Improving the Quality of Suggestions for Medical Text Simplification Tools
AMIA Annu Symp Proc. 2022 May 23;2022:284-292. eCollection 2022.ABSTRACTText continues to be an important medium for communicating health-related information. We have built a text simplification tool that gives concrete suggestions on how to simplify health and medical texts. An important component of the tool identifies difficult words and suggests simpler synonyms based on pre-existing resources (WordNet and UMLS). These candidate substitutions are not always appropriate in all contexts. In this paper, we introduce a filtering algorithm that utilizes semantic similarity based on word embeddings to determine if the candid...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: David Kauchak Jorge Apricio Gondy Leroy Source Type: research

EHR Data Quality Assessment Tools and Issue Reporting Workflows for the 'All of Us' Research Program Clinical Data Research Network
AMIA Annu Symp Proc. 2022 May 23;2022:186-195. eCollection 2022.ABSTRACTThe All of Us (AoU) Research Program aggregates electronic health records (EHR) data from 300,00+ participants spanning 50+ distinct data sites. The diversity and size of AoU's data network result in multifaceted obstacles to data integration that may undermine the usability of patient EHR. Consequently, the AoU team implemented data quality tools to regularly evaluate and communicate EHR data quality issues at scale. The use of systematic feedback and educational tools ultimately increased site engagement and led to quantitative improvements in EHR qu...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Noah Engel Hongjue Wang Xinzhuo Jiang Chun Yee Lau Jason Patterson Nripendra Acharya Maura Beaton Lina Sulieman Nishanth Pavinkurve Karthik Natarajan Source Type: research

DaT3M: A Data Tracker for Multi-faceted Management of Multi-site Clinical Research Data Submission, Curation, Master Inventorying, and Sharing
AMIA Annu Symp Proc. 2022 May 23;2022:466-475. eCollection 2022.ABSTRACTManaging research data is an important and challenging aspect of clinical studies, especially for multi-site collaboratives. To address this challenge, we designed, developed and deployed a multi-faceted, multi-level interactive data tracker (DaT3M) for multi-site clinical research data submission, curation, master inventorying, and sharing. Components of DaT3M include data overview, data portal, data status panel, data query engine, and data downloader. DaT3M managed clinical research data for the Center for SUDEP Research (CSR). The CSR instance of D...
Source: AMIA Annual Symposium Proceedings - July 20, 2022 Category: Bioinformatics Authors: Shiqiang Tao Licong Cui Wei-Chun Chou Samden Lhatoo Guo-Qiang Zhang Source Type: research