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Medical informatics

Michael M Segal, Alanna K Rahm, Nathan C Hulse, Grant Wood, Janet L Williams, Lynn Feldman, Gregory J Moore, David Gehrum, Michelle Yefko, Steven Mayernick, Roger Gildersleeve, Margie C Sunderland, Steven B Bleyl, Peter Haug, Marc S Williams
Introduction: Reducing misdiagnosis has long been a goal of medical informatics. Current thinking has focused on achieving this goal by integrating diagnostic decision support into electronic health records. Methods: A diagnostic decision support system already in clinical use was integrated into electronic health record systems at two large health systems, after clinician input on desired capabilities. The decision support provided three outputs: editable text for use in a clinical note, a summary including the suggested differential diagnosis with a graphical representation of probability, and a list of pertinent positive and pertinent negative findings (with onsets)...
December 6, 2017: EGEMS
Leonard Katz, Yvonne Y Chen, Ramon Gonzalez, Todd C Peterson, Huimin Zhao, Richard H Baltz
Synthetic biology is a logical extension of what has been called recombinant DNA (rDNA) technology or genetic engineering since the 1970s. As rDNA technology has been the driver for the development of a thriving biotechnology industry today, starting with the commercialization of biosynthetic human insulin in the early 1980s, synthetic biology has the potential to take the industry to new heights in the coming years. Synthetic biology advances have been driven by dramatic cost reductions in DNA sequencing and DNA synthesis; by the development of sophisticated tools for genome editing, such as CRISPR/Cas9; and by advances in informatics, computational tools, and infrastructure to facilitate and scale analysis and design...
June 18, 2018: Journal of Industrial Microbiology & Biotechnology
A Idri, H Benhar, J L Fernández-Alemán, I Kadi
BACKGROUND AND OBJECTIVE: Datamining (DM) has, over the last decade, received increased attention in the medical domain and has been widely used to analyze medical datasets in order to extract useful knowledge and previously unknown patterns. However, historical medical data can often comprise inconsistent, noisy, imbalanced, missing and high dimensional data. These challenges lead to a serious bias in predictive modeling and reduce the performance of DM techniques. Data preprocessing is, therefore, an essential step in knowledge discovery as regards improving the quality of data and making it appropriate and suitable for DM techniques...
August 2018: Computer Methods and Programs in Biomedicine
Jenni Burt, Natasha Elmore, Stephen M Campbell, Sarah Rodgers, Anthony J Avery, Rupert A Payne
BACKGROUND: Polypharmacy is an increasing challenge for primary care. Although sometimes clinically justified, polypharmacy can be inappropriate, leading to undesirable outcomes. Optimising care for polypharmacy necessitates effective targeting and monitoring of interventions. This requires a valid, reliable measure of polypharmacy, relevant for all patients, that considers clinical appropriateness and generic prescribing issues applicable across all medications. Whilst there are several existing measures of potentially inappropriate prescribing, these are not specifically designed with polypharmacy in mind, can require extensive clinical input to complete, and often cover a limited number of drugs...
June 13, 2018: BMC Medicine
Cindy Chen, Regina T Wulff, Evan T Sholle, Gail J Roboz, David A Kraemer, Thomas R Campion
To enable clinical and translational research, academic medical centers increasingly implement biospecimen information management systems. At our institution, one laboratory successfully implemented a multi-system solution that enabled collection and reporting of specimen- and aliquot-level data. The objective of this study was to assess the solution against the laboratory's requirements and with respect to support of best practices for biospecimen information management systems defined by the International Society for Biological and Environmental Repositories (ISBER)...
2018: AMIA Summits on Translational Science Proceedings
Robert Flatman
Harmonization initiatives in laboratory medicine seek to eliminate or reduce illogical variations in service to patients, clinicians and other healthcare professionals. Significant effort will be required to achieve consistent application of terminology, units and reporting across laboratory testing providers. Current variations in practice for nomenclature, reference intervals, flagging, units, standardization and traceability between analytical methods, and presentation of cumulative result data are inefficient and inconvenient, or worse yet, patient safety risks...
June 8, 2018: Clinical Chemistry and Laboratory Medicine: CCLM
Tiffany Callahan, Juliana Barnard, Laura Helmkamp, Julie Maertens, Michael Kahn
Introduction: Electronic health record (EHR) data are known to have significant data quality issues, yet the practice and frequency of assessing EHR data is unknown. We sought to understand current practices and attitudes towards reporting data quality assessment (DQA) results by data professionals. Methods: The project was conducted in four Phases: (1) examined current DQA practices among informatics/CER stakeholders via engagement meeting (07/2014); (2) characterized organizations conducting DQA by interviewing key personnel and data management professionals (07-08/2014); (3) developed and administered an anonymous survey to data professionals (03-06/2015); and (4) validated survey results during a follow-up informatics/CER stakeholder engagement meeting (06/2016)...
September 4, 2017: EGEMS
Debra P Ritzwoller, Michael J Hassett, Hajime Uno, Angel M Cronin, Nikki M Carroll, Mark C Hornbrook, Lawrence C Kushi
Background: This study developed, validated, and disseminated a generalizable informatics algorithm for detecting breast cancer recurrence and timing using a gold standard measure of recurrence coupled with data derived from a readily available common data model that pools health insurance claims and electronic health records data. Methods: The algorithm has two parts: to detect the presence of recurrence and to estimate the timing of recurrence. The primary data source was the Cancer Research Network Virtual Data Warehouse (VDW)...
March 1, 2018: Journal of the National Cancer Institute
Mahboobeh Zare Moayedi, Azam Aslani, Mostafa Fakhrahmad, Shahrokh Ezzatzadegan J
OBJECTIVES: This study was conducted to develop an android based patient decision aid (PDA) as a self-care instrument for patients after kidney transplant and its usability evaluation. METHODS: In this study, the systematic development process of Android-based self-care application for patients after kidney transplant based on Ottawa standard was included: scoping, assemble steering group, analysis of requirements, designing, develop of a prototype and system evaluation...
2018: Studies in Health Technology and Informatics
Lei Chen, Meng Li
To analyze the current situation about informatization construction of medical device administration in China, including such links of market access of medical device, occupation access of enterprise, risk monitoring of postmarketing, sampling and testing of post-marketing, complaint and inspecting, advertising management and standard management. By the informatization of medical device administration, some supervision problems can be solved, supervision efficiency can be promoted. For accelerating the informatization construction of medical device administration, we should do top-level design and implement by step, pay more attention to the informatization of manufacturing enterprise, product tracing and standard management, in order to continually improve the level of medical device administration...
July 30, 2017: Zhongguo Yi Liao Qi Xie za Zhi, Chinese Journal of Medical Instrumentation
Yiqing Zhuang, Xu Chen, Xiaohua Ge
This poster proposes an informatics report system designed to estimate the readiness of Emergency Departments (ED) to overcrowing and readiness of a real-time usage of medical response. This system can be installed with the applications on all kinds of electronic devices approved by the hospital. A automatically system generated electronic report can clearly and organized demonstrate the condition of ED, and offer the data to inform healthcare managers on decision making, and more importantly, improve the patient outcomes...
2018: Studies in Health Technology and Informatics
P Soares, K Fidler, J Felton, R Tavendale, A Hövels, S A Bremner, C N A Palmer, S Mukhopadhyay
BACKGROUND: Eczema and asthma are chronic diseases with onset usually before the age of 5 years. More than 50% of individuals with eczema will develop asthma and/or other allergic diseases. Several loss-of-function mutations in filaggrin (FLG) have been identified in patients with eczema. However, the association of FLG with healthcare use is unknown. OBJECTIVES: To determine whether FLG mutations are associated with increased prescribing for eczema and asthma and whether increased prescribing is associated with increased healthcare costs...
May 31, 2018: British Journal of Dermatology
(no author information available yet)
No abstract text is available yet for this article.
May 29, 2018: Journal of the American Medical Informatics Association: JAMIA
Ira S Hofer, Drew Cheng, Tristan Grogan, Yohei Fujimoto, Takashige Yamada, Lauren Beck, Maxime Cannesson, Aman Mahajan
BACKGROUND: Previous work in the field of medical informatics has shown that rules-based algorithms can be created to identify patients with various medical conditions; however, these techniques have not been compared to actual clinician notes nor has the ability to predict complications been tested. We hypothesize that a rules-based algorithm can successfully identify patients with the diseases in the Revised Cardiac Risk Index (RCRI). METHODS: Patients undergoing surgery at the University of California, Los Angeles Health System between April 1, 2013 and July 1, 2016 and who had at least 2 previous office visits were included...
May 25, 2018: Anesthesia and Analgesia
Savvas Andronikou, Ewan Simpson, Maciej Klemm, Schadie Vedajallam, Anith Chacko, Ngoc Jade Thai
3D printing has been used in several medical applications. There are no reports however of 3D printing of the brain in children for demonstrating pathology to non-medical professionals such as lawyers. We printed 3D models of the paediatric brain from volumetric MRI in cases of severe and moderate hypoxic ischaemic injury as well as a normal age matched control, as follows: MRI DICOM data was converted to NifTI (Neuroimaging Informatics Technology Initiative) format; segmentation of the brain into CSF, grey, and white matter was performed; the segmented data was converted to STL format and printed on a commercially available scanner...
May 26, 2018: Child's Nervous System: ChNS: Official Journal of the International Society for Pediatric Neurosurgery
Rasool Nouri, Sharareh R Niakan Kalhori, Marjan Ghazisaeedi, Guillaume Marchand, Mobin Yasini
Objective: Review the existing studies including an assessment tool/method to assess the quality of mHealth apps; extract their criteria; and provide a classification of the collected criteria. Methods: In accordance with the PRISMA statement, a literature search was conducted in MEDLINE, EMBase, ISI and Scopus for English language citations published from January 1, 2008 to December 22, 2016 for studies including tools or methods for quality assessment of mHealth apps...
May 16, 2018: Journal of the American Medical Informatics Association: JAMIA
Yoon Nam, Hong-Gee Kim, Hong-Seop Kho
This study aimed to deduce evidence-based clinical clues that differentiate temporomandibular disorders (TMD)-mimicking conditions from genuine TMD by text mining using natural language processing (NLP) and recursive partitioning. We compared the medical records of 29 patients diagnosed with TMD-mimicking conditions and 290 patients diagnosed with genuine TMD. Chief complaints and medical histories were preprocessed via NLP to compare the frequency of word usage. In addition, recursive partitioning was used to deduce the optimal size of mouth opening, which could differentiate TMD-mimicking from genuine TMD groups...
May 21, 2018: Journal of Oral Rehabilitation
Maryam Eslami Jahromi, Leila Ahmadian
OBJECTIVE: Investigating the required infrastructure for the implementation of telemedicine and the satisfaction of target groups improves the acceptance of this technology and facilitates the delivery of healthcare services. The aim of this study was to assess the satisfaction of patients with stutter concerning the therapeutic method and the infrastructure used to receive tele-speech therapy services. METHODS: This descriptive-analytical study was conducted on all patients with stutter aged between 14 and 39 years at Jahrom Social Welfare Bureau (n = 30)...
July 2018: International Journal of Medical Informatics
Patrick G Lyons, Dana P Edelson, Matthew M Churpek
INTRODUCTION: Rapid response systems are commonly employed by hospitals to identify and respond to deteriorating patients outside of the intensive care unit. Controversy exists about the benefits of rapid response systems. AIMS: We aimed to review the current state of the rapid response literature, including evolving aspects of afferent (risk detection) and efferent (intervention) arms, outcome measurement, process improvement, and implementation. DATA SOURCES: Articles written in English and published in PubMed...
May 16, 2018: Resuscitation
Yingxiang Huang, Junghye Lee, Shuang Wang, Jimeng Sun, Hongfang Liu, Xiaoqian Jiang
BACKGROUND: Data sharing has been a big challenge in biomedical informatics because of privacy concerns. Contextual embedding models have demonstrated a very strong representative capability to describe medical concepts (and their context), and they have shown promise as an alternative way to support deep-learning applications without the need to disclose original data. However, contextual embedding models acquired from individual hospitals cannot be directly combined because their embedding spaces are different, and naive pooling renders combined embeddings useless...
May 16, 2018: JMIR Medical Informatics
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