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https://www.readbyqxmd.com/read/28077909/the-most-influential-scientists-in-the-development-of-medical-informatics-15
#1
REVIEW
Izet Masic
No abstract text is available yet for this article.
December 2016: Acta Informatica Medica: AIM
https://www.readbyqxmd.com/read/28077897/the-most-influential-scientist-in-the-development-of-medical-informatics-14-branko-cesnik
#2
Izet Masic
No abstract text is available yet for this article.
October 2016: Acta Informatica Medica: AIM
https://www.readbyqxmd.com/read/28077885/designing-and-implementation-of-retina-image-drawing-system-and-automatic-report-generation-from-retina-examinations
#3
Reza Safdari, Mehrshad Mokhtaran, Shahram Tahmasebian
INTRODUCTION: Electronic medical records as one of major parts of electronic health records is an important application of Medical Informatics. EMR includes different types of data, Graphical items being one of these data types. To this end, a standard structure for storing and recovering and finally exchanging this data type is required. In order to standardize information items in this research, UMLS standard is used. In this research, graphical information from fondues designing in retina surgery forms is used for the task of implementation...
October 2016: Acta Informatica Medica: AIM
https://www.readbyqxmd.com/read/28077402/elemental-metabolomics
#4
Ping Zhang, Constantinos A Georgiou, Vladimir Brusic
Elemental metabolomics is quantification and characterization of total concentration of chemical elements in biological samples and monitoring of their changes. Recent advances in inductively coupled plasma mass spectrometry have enabled simultaneous measurement of concentrations of > 70 elements in biological samples. In living organisms, elements interact and compete with each other for absorption and molecular interactions. They also interact with proteins and nucleotide sequences. These interactions modulate enzymatic activities and are critical for many molecular and cellular functions...
January 10, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28059689/an-integrated-health-neighbourhood-framework-to-optimise-the-use-of-ehr-data
#5
Siaw-Teng Liaw, Simon De Lusignan
 General practice should become the hub of integrated health neighbourhoods (IHNs), which involves sharing of information to ensure that medical homes are also part of learning organisations that use electronic health record (EHR) data for care, decision making, teaching and learning, quality improvement and research. The IHN is defined as the primary and ambulatory care services in a locality that relates largely to a single hospital-based secondary care service provider and is the logical denominator and unit of comparison for the optimal use of EHR data and health information exchange (HIE) to facilitate integration and coordination of care...
October 4, 2016: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/28057607/the-value-of-electronic-medical-record-implementation-in-mental-health-care-a-case-study
#6
Sanaz Riahi, Ilan Fischler, Melanie I Stuckey, Philip E Klassen, John Chen
BACKGROUND: Electronic medical records (EMR) have been implemented in many organizations to improve the quality of care. Evidence supporting the value added to a recovery-oriented mental health facility is lacking. OBJECTIVE: The goal of this project was to implement and customize a fully integrated EMR system in a specialized, recovery-oriented mental health care facility. This evaluation examined the outcomes of quality improvement initiatives driven by the EMR to determine the value that the EMR brought to the organization...
January 5, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28055930/deep-learning-for-health-informatics
#7
Daniele Ravi, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu Perez, Benny Lo, Guang-Zhong Yang
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence. Rapid improvements in computational power, fast data storage and parallelization have also contributed to the rapid uptake of the technology in addition to its predictive power and ability to generate automatically optimized high-level features and semantic interpretation from the input data...
December 29, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28052781/inpatient-urine-cultures-are-frequently-performed-without-urinalysis-or-microscopy-findings-from-a-large-academic-medical-center
#8
Abigail L Carlson, Satish Munigala, Anthony J Russo, Kathleen M McMullen, Helen Wood, Ronald Jackups, David K Warren
OBJECTIVE To describe the frequency of urine cultures performed in inpatients without additional testing for pyuria DESIGN Retrospective cohort study SETTING A 1,250-bed academic tertiary referral center PATIENTS Hospitalized adults METHODS This study included urine cultures drawn on 4 medical and 2 surgical wards from 2009 to 2013 and in the medical and surgical intensive care units (ICUs) from 2012 to 2013. Patient and laboratory data were abstracted from the hospital's medical informatics database. We identified catheter-associated urinary tract infections (CAUTIs) in the ICUs by routine infection prevention surveillance...
January 5, 2017: Infection Control and Hospital Epidemiology
https://www.readbyqxmd.com/read/28050715/workflow-lexicons-in-healthcare-validation-of-the-swim-lexicon
#9
Chris Meenan, Bradley Erickson, Nancy Knight, Jewel Fossett, Elizabeth Olsen, Prerna Mohod, Joseph Chen, Steve G Langer
For clinical departments seeking to successfully navigate the challenges of modern health reform, obtaining access to operational and clinical data to establish and sustain goals for improving quality is essential. More broadly, health delivery organizations are also seeking to understand performance across multiple facilities and often across multiple electronic medical record (EMR) systems. Interpreting operational data across multiple vendor systems can be challenging, as various manufacturers may describe different departmental workflow steps in different ways and sometimes even within a single vendor's installed customer base...
January 3, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28048685/tu-d-201-08-experience-complying-with-the-joint-commission-element-of-performance-on-radiation-dose-index-monitoring
#10
M P Supanich
PURPOSE: A new Joint Commission element of performance effective July 2015 requires incidents where the radiation dose index exceeds a defined level be reviewed, analyzed and compared to external benchmarks. This work offers a comprehensive review of the CT exams in which the notification level was exceeded and the reason at one academic medical center. This review may help other institutions set reference levels at clinically relevant values. METHODS: Radiation Dose Structured Reports from each of the 5 diagnostic CT scanners at our institution are automatically sent to our radiation dose index monitoring software platform, Radimetrics from Bayer Healthcare...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048357/su-f-r-05-multidimensional-imaging-radiomics-geodesics-a-novel-manifold-learning-based-automatic-feature-extraction-method-for-diagnostic-prediction-in-multiparametric-imaging
#11
V Parekh, M A Jacobs
PURPOSE: Multiparametric radiological imaging is used for diagnosis in patients. Potentially extracting useful features specific to a patient's pathology would be crucial step towards personalized medicine and assessing treatment options. In order to automatically extract features directly from multiparametric radiological imaging datasets, we developed an advanced unsupervised machine learning algorithm called the multidimensional imaging radiomics-geodesics(MIRaGe). METHODS: Seventy-six breast tumor patients underwent 3T MRI breast imaging were used for this study...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047995/tu-fg-206-00-imaging-informatics
#12
Paul Nagy
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047914/tu-fg-206-03-imaging-informatics-for-the-medical-physicist
#13
P Nagy
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047330/tu-fg-206-01-standards-support-for-color-in-medical-imaging
#14
M Flynn
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046662/tu-fg-206-02-medical-physics-imaging-informatics-in-the-classroom-and-in-practice
#15
W Sensakovic
The field of imaging informatics is a subfield of biomedical informatics that combines medical physics with computer, clinical, and cognitive sciences. In this session jointly sponsored with the Society of Imaging Informatics in Medicine, we will provide an overview of the field starting with the highly applied role of information technology working with imaging modalities to research areas in computer vision, annotation markup, and semantic ontologies that can leverage machine encoded reasoning systems. We will highlight new technologies that are beneficial to medical physicists conducting research as well as translating research into clinical practice...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28038910/consumer-health-informatics-empowering-healthy-lifestyle-seekers-through-mhealth
#16
REVIEW
Anthony Faiola, Richard J Holden
People are at risk from noncommunicable diseases (NCD) and poor health habits, with interventions like medications and surgery carrying further risk of adverse effects. This paper addresses ways people are increasingly moving to healthy living medicine (HLM) to mitigate such health threats. HLM-seekers increasingly leverage mobile technologies that enable control of personal health information, collaboration with clinicians/other agents to establish healthy living practices. For example, outcomes from consumer health informatics research includes empowering users to take charge of their health through active participation in decision-making about healthcare delivery...
December 27, 2016: Progress in Cardiovascular Diseases
https://www.readbyqxmd.com/read/28028203/development-of-a-pediatric-adverse-events-terminology
#17
Debbie S Gipson, Eric S Kirkendall, Brenda Gumbs-Petty, Theresa Quinn, A Steen, Amanda Hicks, Ann McMahon, Savian Nicholas, Anna Zhao-Wong, Perdita Taylor-Zapata, Mark Turner, Emily Herreshoff, Charlotte Jones, Jonathan M Davis, Margaret Haber, Steven Hirschfeld
In 2009, the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) established the Pediatric Terminology Harmonization Initiative to establish a core library of terms to facilitate the acquisition and sharing of knowledge between pediatric clinical research, practice, and safety reporting. A coalition of partners established a Pediatric Terminology Adverse Event Working Group in 2013 to develop a specific terminology relevant to international pediatric adverse event (AE) reporting...
January 2017: Pediatrics
https://www.readbyqxmd.com/read/28027164/meeting-the-needs-for-radiation-protection-diagnostic-imaging
#18
Donald P Frush
Radiation and potential risk during medical imaging is one of the foremost issues for the imaging community. Because of this, there are growing demands for accountability, including appropriate use of ionizing radiation in diagnostic and image-guided procedures. Factors contributing to this include increasing use of medical imaging; increased scrutiny (from awareness to alarm) by patients/caregivers and the public over radiation risk; and mounting calls for accountability from regulatory, accrediting, healthcare coverage (e...
February 2017: Health Physics
https://www.readbyqxmd.com/read/28018897/patient-centered-tablet-application-for-improving-medication-adherence-after-a-drug-eluting-stent
#19
Vicki Shah, Anandu Dileep, Carolyn Dickens, Vicki Groo, Betty Welland, Jerry Field, Matthew Baumann, Jose D Flores, Adhir Shroff, Zhongsheng Zhao, Yingwei Yao, Diana J Wilkie, Andrew D Boyd
BACKGROUND/AIMS: This study's objective was to evaluate a patient-centered educational electronic tablet application, "My Interventional Drug-Eluting Stent Educational App" (MyIDEA) to see if there was an increase in patient knowledge about dual antiplatelet therapy (DAPT) and medication possession ratio (MPR) compared to treatment as usual. METHODS: In a pilot project, 24 elderly (≥50 years old) research participants were recruited after a drug-eluting stent...
2016: Frontiers in Public Health
https://www.readbyqxmd.com/read/28013002/enhanced-endometriosis-archiving-software-eneas%C3%A2-an-application-for-storing-retrieving-comparing-and-sharing-data-of-patients-affected-by-endometriosis-integrated-in-the-daily-practice
#20
Gabriele Centini, Letizia Zannoni, Lucia Lazzeri, Paolo Buiarelli, Gianluca Limatola, Felice Petraglia, Renato Seracchioli, Errico Zupi
Endometriosis is a chronic benign disease affecting women of fertile age, associated with pelvic pain and subfertility, often impacting negatively on individuals quality of life. Meetings involving five gynaecologists skilled in endometriosis management and two Informatics Technologists Consultants, competent in data managing and web mastering were enlisted to create an Endometriosis Databank named ENhanced Endometriosis Archiving Software (ENEAS). This processing system allows to store, retrieve, compare and correlate all possible data collected in conjunction in different Italian endometriosis centers, with the collective objective of obtaining homogeneous data of a large population sample size...
December 21, 2016: Journal of Minimally Invasive Gynecology
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