journal
MENU ▼
Read by QxMD icon Read
search

Biomedical Informatics Insights

journal
https://www.readbyqxmd.com/read/28638239/using-transfer-learning-for-improved-mortality-prediction-in-a-data-scarce-hospital-setting
#1
Thomas Desautels, Jacob Calvert, Jana Hoffman, Qingqing Mao, Melissa Jay, Grant Fletcher, Chris Barton, Uli Chettipally, Yaniv Kerem, Ritankar Das
Algorithm-based clinical decision support (CDS) systems associate patient-derived health data with outcomes of interest, such as in-hospital mortality. However, the quality of such associations often depends on the availability of site-specific training data. Without sufficient quantities of data, the underlying statistical apparatus cannot differentiate useful patterns from noise and, as a result, may underperform. This initial training data burden limits the widespread, out-of-the-box, use of machine learning-based risk scoring systems...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28634427/leveraging-food-and-drug-administration-adverse-event-reports-for-the-automated-monitoring-of-electronic-health-records-in-a-pediatric-hospital
#2
Huaxiu Tang, Imre Solti, Eric Kirkendall, Haijun Zhai, Todd Lingren, Jaroslaw Meller, Yizhao Ni
The objective of this study was to determine whether the Food and Drug Administration's Adverse Event Reporting System (FAERS) data set could serve as the basis of automated electronic health record (EHR) monitoring for the adverse drug reaction (ADR) subset of adverse drug events. We retrospectively collected EHR entries for 71 909 pediatric inpatient visits at Cincinnati Children's Hospital Medical Center. Natural language processing (NLP) techniques were used to identify positive diseases/disorders and signs/symptoms (DDSSs) from the patients' clinical narratives...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28469434/analysis-of-individual-differences-in-vaccine-pharmacovigilance-using-vaers-data-and-meddra-system-organ-classes-a-use-case-study-with-trivalent-influenza-vaccine
#3
Jingcheng Du, Yi Cai, Yong Chen, Yongqun He, Cui Tao
Personalized and precision vaccination requires consideration of an individual's sex and age. This article proposed systematic methods to study individual differences in adverse reactions following vaccination and chose trivalent influenza vaccine as a use case. Data were extracted from the Vaccine Adverse Event Reporting System from years 1990 to 2014. We first grouped symptoms into the Medical Dictionary for Regulatory Activities System Organ Classes (SOCs). We then applied zero-truncated Poisson regression and logistic regression to identify reporting differences among different individual groups over the SOCs...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28469433/using-spatial-analysis-to-inform-community-immunization-strategies
#4
REVIEW
Moises E Maravi, Lauren E Snyder, L Dean McEwen, Kathryn DeYoung, Arthur J Davidson
INTRODUCTION: Recent pertussis outbreaks in the United States suggest our response to local disease outbreaks (eg, vaccine-preventable Bordetella pertussis) may benefit from understanding and applying spatial analytical methods that use data from immunization information systems at a subcounty level. METHODS: A 2012 study on Denver, CO, residents less than 19 years of age confirmed pertussis cases and immunization information system records were geocoded and aggregated to the census tract (CT) level...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28469432/systematic-review-of-medical-informatics-supported-medication-decision-making
#5
REVIEW
Brittany L Melton
This systematic review sought to assess the applications and implications of current medical informatics-based decision support systems related to medication prescribing and use. Studies published between January 2006 and July 2016 which were indexed in PubMed and written in English were reviewed, and 39 studies were ultimately included. Most of the studies looked at computerized provider order entry or clinical decision support systems. Most studies examined decision support systems as a means of reducing errors or risk, particularly associated with medication prescribing, whereas a few studies evaluated the impact medical informatics-based decision support systems have on workflow or operations efficiency...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28469431/opportunities-and-challenges-of-adolescent-and-adult-vaccination-administration-within-pharmacies-in-the-united-states
#6
REVIEW
Jessica Y Islam, Joann F Gruber, Alexandre Lockhart, Manju Kunwar, Spencer Wilson, Sara B Smith, Noel T Brewer, Jennifer S Smith
Pharmacies have been endorsed as alternative vaccine delivery sites to improve vaccination rates through increased access to services. Our objective was to identify challenges and facilitators to adolescent and adult vaccination provision in pharmacy settings in the United States. We recruited 40 licensed pharmacists in states with different pharmacy vaccination laws. Eligible pharmacists previously administered or were currently administering human papillomavirus (HPV); tetanus, diphtheria, and pertussis (TDAP); or meningitis (meningococcal conjugate vaccine [MCV4]) vaccines to adolescents aged 9 to 17 years...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28469430/immunization-information-system-and-informatics-to-promote-immunizations-perspective-from-minnesota-immunization-information-connection
#7
Miriam Halstead Muscoplat, Sripriya Rajamani
The vision for management of immunization information is availability of real-time consolidated data and services for all ages, to clinical, public health, and other stakeholders. This is being executed through Immunization Information Systems (IISs), which are population-based and confidential computerized systems present in most US states and territories. Immunization Information Systems offer many functionalities, such as immunization assessment reports, client follow-up, reminder/recall feature, vaccine management tools, state-supplied vaccine ordering, comprehensive immunization history, clinical decision support/vaccine forecasting and recommendations, data processing, and data exchange...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28469429/a-machine-learning-approach-to-evaluating-illness-induced-religious-struggle
#8
Joshua Glauser, Brian Connolly, Paul Nash, Daniel H Grossoehme
Religious or spiritual struggles are clinically important to health care chaplains because they are related to poorer health outcomes, involving both mental and physical health problems. Identifying persons experiencing religious struggle poses a challenge for chaplains. One potentially underappreciated means of triaging chaplaincy effort are prayers written in chapel notebooks. We show that religious struggle can be identified in these notebooks through instances of negative religious coping, such as feeling anger or abandonment toward God...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28469428/using-electronic-medical-record-to-identify-patients-with-dyslipidemia-in-primary-care-settings-international-classification-of-disease-code-matters-from-one-region-to-a-national-database
#9
Justin Oake, Erfan Aref-Eshghi, Marshall Godwin, Kayla Collins, Kris Aubrey-Bassler, Pauline Duke, Masoud Mahdavian, Shabnam Asghari
OBJECTIVE: To assess the validity of the International Classification of Disease (ICD) codes for identifying patients with dyslipidemia in electronic medical record (EMR) data. METHODS: The EMRs of patients receiving primary care in St. John's, Newfoundland and Labrador (NL), Canada, were retrieved from the Canadian Primary Care Sentinel Surveillance Network database. International Classification of Disease codes were first compared with laboratory lipid data as an independent criterion standard, and next with a "comprehensive criterion standard," defined as any existence of abnormal lipid test, lipid-lowering medication record, or dyslipidemia ICD codes...
2017: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/28050128/direct-and-electronic-health-record-access-to-the-clinical-decision-support-for-immunizations-in-the-minnesota-immunization-information-system
#10
Sripriya Rajamani, Aaron Bieringer, Stephanie Wallerius, Daniel Jensen, Tamara Winden, Miriam Halstead Muscoplat
Immunization information systems (IIS) are population-based and confidential computerized systems maintained by public health agencies containing individual data on immunizations from participating health care providers. IIS hold comprehensive vaccination histories given across providers and over time. An important aspect to IIS is the clinical decision support for immunizations (CDSi), consisting of vaccine forecasting algorithms to determine needed immunizations. The study objective was to analyze the CDSi presentation by IIS in Minnesota (Minnesota Immunization Information Connection [MIIC]) through direct access by IIS interface and by access through electronic health records (EHRs) to outline similarities and differences...
2016: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/27980415/tennessee-s-3-star-report-using-available-data-systems-to-reduce-missed-opportunities-to-vaccinate-preteens
#11
Kelly L Moore, Melissa K Fankhauser, Pamela C Hull
All preteens should receive tetanus-diphtheria-pertussis vaccine (Tdap), quadrivalent meningococcal vaccine (Men-ACWY), and the human papillomavirus (HPV) cancer vaccine series. In Tennessee, HPV vaccination rates have stagnated at low levels for a decade. Three fundamental strategies to reduce missed opportunities for immunization include administering all recommended vaccines at the same visit, making strong recommendations for vaccines, and auditing and feedback. In Tennessee, during each summer, a surge of preteens visit local health departments (LHDs) to receive a required Tdap vaccine before entering seventh grade, presenting an opportunity to administer Men-ACWY and HPV...
2016: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/27789956/clinical-decision-support-for-immunizations-cdsi-a-comprehensive-collaborative-strategy
#12
Noam H Arzt
This article focuses on the requirements and current developments in clinical decision support technologies for immunizations (CDSi) in both the public health and clinical communities, with an emphasis on shareable solutions. The requirements of the Electronic Health Record Incentive Programs have raised some unique challenges for the clinical community, including vocabulary mapping, update of changing guidelines, single immunization schedule, and scalability. This article discusses new, collaborative approaches whose long-term goal is to make CDSi more sustainable for both the public and private sectors...
2016: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/27478379/efficient-queries-of-stand-off-annotations-for-natural-language-processing-on-electronic-medical-records
#13
Yuan Luo, Peter Szolovits
In natural language processing, stand-off annotation uses the starting and ending positions of an annotation to anchor it to the text and stores the annotation content separately from the text. We address the fundamental problem of efficiently storing stand-off annotations when applying natural language processing on narrative clinical notes in electronic medical records (EMRs) and efficiently retrieving such annotations that satisfy position constraints. Efficient storage and retrieval of stand-off annotations can facilitate tasks such as mapping unstructured text to electronic medical record ontologies...
2016: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/27385912/toward-a-learning-health-care-system-knowledge-delivery-at-the-point-of-care-empowered-by-big-data-and-nlp
#14
Vinod C Kaggal, Ravikumar Komandur Elayavilli, Saeed Mehrabi, Joshua J Pankratz, Sunghwan Sohn, Yanshan Wang, Dingcheng Li, Majid Mojarad Rastegar, Sean P Murphy, Jason L Ross, Rajeev Chaudhry, James D Buntrock, Hongfang Liu
The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health records (EHRs) enables the data collection required to form the basis for facilitating LHS. A prerequisite for using EHR data within the LHS is an infrastructure that enables access to EHR data longitudinally for health-care analytics and real time for knowledge delivery...
2016: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/27375358/mining-health-related-issues-in-consumer-product-reviews-by-using-scalable-text-analytics
#15
Manabu Torii, Sameer S Tilak, Son Doan, Daniel S Zisook, Jung-Wei Fan
In an era when most of our life activities are digitized and recorded, opportunities abound to gain insights about population health. Online product reviews present a unique data source that is currently underexplored. Health-related information, although scarce, can be systematically mined in online product reviews. Leveraging natural language processing and machine learning tools, we were able to mine 1.3 million grocery product reviews for health-related information. The objectives of the study were as follows: (1) conduct quantitative and qualitative analysis on the types of health issues found in consumer product reviews; (2) develop a machine learning classifier to detect reviews that contain health-related issues; and (3) gain insights about the task characteristics and challenges for text analytics to guide future research...
2016: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/27257387/mobile-health-mhealth-services-and-online-health-educators
#16
Muhammad Anshari, Mohammad Nabil Almunawar
Mobile technology enables health-care organizations to extend health-care services by providing a suitable environment to achieve mobile health (mHealth) goals, making some health-care services accessible anywhere and anytime. Introducing mHealth could change the business processes in delivering services to patients. mHealth could empower patients as it becomes necessary for them to become involved in the health-care processes related to them. This includes the ability for patients to manage their personal information and interact with health-care staff as well as among patients themselves...
2016: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/27257386/methodological-issues-in-predicting-pediatric-epilepsy-surgery-candidates-through-natural-language-processing-and-machine-learning
#17
Kevin Bretonnel Cohen, Benjamin Glass, Hansel M Greiner, Katherine Holland-Bouley, Shannon Standridge, Ravindra Arya, Robert Faist, Diego Morita, Francesco Mangano, Brian Connolly, Tracy Glauser, John Pestian
We describe the development and evaluation of a system that uses machine learning and natural language processing techniques to identify potential candidates for surgical intervention for drug-resistant pediatric epilepsy. The data are comprised of free-text clinical notes extracted from the electronic health record (EHR). Both known clinical outcomes from the EHR and manual chart annotations provide gold standards for the patient's status. The following hypotheses are then tested: 1) machine learning methods can identify epilepsy surgery candidates as well as physicians do and 2) machine learning methods can identify candidates earlier than physicians do...
2016: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/26843812/big-data-application-in-biomedical-research-and-health-care-a-literature-review
#18
REVIEW
Jake Luo, Min Wu, Deepika Gopukumar, Yiqing Zhao
Big data technologies are increasingly used for biomedical and health-care informatics research. Large amounts of biological and clinical data have been generated and collected at an unprecedented speed and scale. For example, the new generation of sequencing technologies enables the processing of billions of DNA sequence data per day, and the application of electronic health records (EHRs) is documenting large amounts of patient data. The cost of acquiring and analyzing biomedical data is expected to decrease dramatically with the help of technology upgrades, such as the emergence of new sequencing machines, the development of novel hardware and software for parallel computing, and the extensive expansion of EHRs...
2016: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/25983557/some-correlates-of-electronic-health-information-management-system-success-in-nigerian-teaching-hospitals
#19
Adebowale I Ojo, Sunday O Popoola
Nowadays, an electronic health information management system (EHIMS) is crucial for patient care in hospitals. This paper explores the aspects and elements that contribute to the success of EHIMS in Nigerian teaching hospitals. The study adopted a survey research design. The population of study comprised 442 health information management personnel in five teaching hospitals that had implemented EHIMS in Nigeria. A self-developed questionnaire was used as an instrument for data collection. The findings revealed that there is a positive, close relationship between all the identified factors and EHIMS's success: technical factors (r = 0...
2015: Biomedical Informatics Insights
https://www.readbyqxmd.com/read/24052691/combining-an-expert-based-medical-entity-recognizer-to-a-machine-learning-system-methods-and-a-case-study
#20
Pierre Zweigenbaum, Thomas Lavergne, Natalia Grabar, Thierry Hamon, Sophie Rosset, Cyril Grouin
Medical entity recognition is currently generally performed by data-driven methods based on supervised machine learning. Expert-based systems, where linguistic and domain expertise are directly provided to the system are often combined with data-driven systems. We present here a case study where an existing expert-based medical entity recognition system, Ogmios, is combined with a data-driven system, Caramba, based on a linear-chain Conditional Random Field (CRF) classifier. Our case study specifically highlights the risk of overfitting incurred by an expert-based system...
2013: Biomedical Informatics Insights
journal
journal
42507
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"