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Medical logic module

Klaus-Hendrik Wolf, Mike Klimek
The Arden Syntax for Medical Logic Modules is a standardized and well-established programming language to represent medical knowledge. To test the compliance level of existing compilers and interpreters no public test suite exists. This paper presents the research to transform the specification into a set of unit tests, represented in JUnit. It further reports on the utilization of the test suite testing four different Arden Syntax processors. The presented and compared results reveal the status conformance of the tested processors...
2016: Studies in Health Technology and Informatics
Pananghat Achutha Kumar, Ramakrishnan Jothi, Dharmalingam Mathivanan
BACKGROUND: A contemporary anatomy curriculum that aims to be clinically relevant requires medical students to be introduced to radiological anatomy in the preclinical years. Ideally, the curriculum should also support self-directed learning, a habit best instilled early. Based on these educational requirements, we designed an interesting and clinically-meaningful program of self-learning modules in radiological anatomy to augment students' learning of gross anatomy. The program is guided by current theories of learning, which emphasize an individualized learning pace for students...
May 2016: Education for Health: Change in Training & Practice
Chai Young Jung, Jong-Ye Choi, Seong Jik Jeong, Kyunghee Cho, Yong Duk Koo, Jin Hee Bae, Sukil Kim
INTRODUCTION: Arden Syntax is a Health Level Seven International (HL7) standard language that is used for representing medical knowledge as logic statements. Arden Syntax Markup Language (ArdenML) is a new representation of Arden Syntax based on XML. Compilers are required to execute medical logic modules (MLMs) in the hospital environment. However, ArdenML may also replace the compiler. The purpose of this study is to demonstrate that MLMs, encoded in ArdenML, can be transformed into a commercial rule engine format through an XSLT stylesheet and made executable in a target system...
May 16, 2016: Artificial Intelligence in Medicine
Christoph Mitsch, Karsten Fehre, Sonja Prager, Christoph Scholda, Katharina Kriechbaum, Thomas Wrba, Ursula Schmidt-Erfurth
The management of diabetic retinopathy, a frequent ophthalmological manifestation of diabetes mellitus, consists of regular examinations and a standardized, manual classification of disease severity, which is used to recommend re-examination intervals. To evaluate the feasibility and safety of implementing automated, guideline-based diabetic retinopathy (DR) grading into clinical routine by applying established clinical decision support (CDS) technology. We compared manual with automated classification that was generated using medical documentation and an Arden server with a specific medical logic module...
2016: Studies in Health Technology and Informatics
Ricardo Salas-Flores, Brian González-Pérez
BACKGROUND: Medical internship is an important period in the formation of a general (or medical) practitioner, in which the student becomes a member of the "health community" and also applies all the knowledge he or she has received during the university lectures. The present study aims to evaluate the impact of the implementation of the academic day programme designed for undergraduate medical interns within the Mexican second level healthcare Hospital General Regional No. 6 "Dr. Ignacio García Téllez"...
May 2016: Revista Médica del Instituto Mexicano del Seguro Social
J Isakova
BACKGROUND: Rapid development of medicine requires regular update of clinical data evidence. This task accomplishment requires participation of numerous specialists in evidence-based medicine, who are proficient in various statistical methods and can work with big data analysis tools in biomedical sciences. This, in turn, requires significant time and other resources. Today, at the peak of IT development, cognitive systems in the field of medicine with special technologies of data collection and analysis, is the start of a new trend...
2015: International Journal of Risk & Safety in Medicine
Stefan Kraus, Caroline Drescher, Martin Sedlmayr, Ixchel Castellanos, Hans-Ulrich Prokosch, Dennis Toddenroth
OBJECTIVE: Most practically deployed Arden-Syntax-based clinical decision support (CDS) modules process data from individual patients. The specification of Arden Syntax, however, would in principle also support multi-patient CDS. The patient data management system (PDMS) at our local intensive care units does not natively support patient overviews from customizable CDS routines, but local physicians indicated a demand for multi-patient tabular overviews of important clinical parameters such as key laboratory measurements...
October 9, 2015: Artificial Intelligence in Medicine
Maqbool Hussain, Muhammad Afzal, Taqdir Ali, Rahman Ali, Wajahat Ali Khan, Arif Jamshed, Sungyoung Lee, Byeong Ho Kang, Khalid Latif
OBJECTIVE: The objective of this study is to help a team of physicians and knowledge engineers acquire clinical knowledge from existing practices datasets for treatment of head and neck cancer, to validate the knowledge against published guidelines, to create refined rules, and to incorporate these rules into clinical workflow for clinical decision support. METHODS AND MATERIALS: A team of physicians (clinical domain experts) and knowledge engineers adapt an approach for modeling existing treatment practices into final executable clinical models...
October 28, 2015: Artificial Intelligence in Medicine
Jeroen S de Bruin, Christian Schuh, Walter Seeling, Eva Luger, Michaela Gall, Elisabeth Hütterer, Gabriela Kornek, Bernhard Ludvik, Friedrich Hoppichler, Karin Schindler
BACKGROUND: Nutritional screening procedures followed by regular nutrition monitoring for oncological outpatients are no standard practice in many European hospital wards and outpatient settings. As a result, early signs of malnutrition are missed and nutritional treatment is initiated when patients have already experienced severe weight loss. OBJECTIVE: We report on a novel clinical decision support system (CDSS) for the global assessment and nutritional triage of the nutritional condition of oncology outpatients...
October 22, 2015: Artificial Intelligence in Medicine
Alán Alpár, Vincenzo Di Marzo, Tibor Harkany
Endocannabinoids regulate brain development via modulating neural proliferation, migration, and the differentiation of lineage-committed cells. In the fetal nervous system, (endo)cannabinoid-sensing receptors and the enzymatic machinery of endocannabinoid metabolism exhibit a cellular distribution map different from that in the adult, implying distinct functions. Notably, cannabinoid receptors serve as molecular targets for the psychotropic plant-derived cannabis constituent Δ(9)-tetrahydrocannainol, as well as synthetic derivatives (designer drugs)...
April 1, 2016: Biological Psychiatry
Vibha Anand, Aaron E Carroll, Paul G Biondich, Tamara M Dugan, Stephen M Downs
BACKGROUND: Pediatric guidelines based care is often overlooked because of the constraints of a typical office visit and the sheer number of guidelines that may exist for a patient's visit. In response to this problem, in 2004 we developed a pediatric computer based clinical decision support system using Arden Syntax medical logic modules (MLM). METHODS: The Child Health Improvement through Computer Automation system (CHICA) screens patient families in the waiting room and alerts the physician in the exam room...
October 1, 2015: Artificial Intelligence in Medicine
Ixchel Castellanos, Stefan Kraus, Dennis Toddenroth, Hans-Ulrich Prokosch, Thomas Bürkle
OBJECTIVE: Bacterial infections frequently cause prolonged intensive care unit (ICU) stays. Repeated measurements of the procalcitonin (PCT) biomarker are typically used for early detection and follow up of bacterial infections and sepsis, but those PCT measurements are costly. To avoid overutilization, we developed and evaluated a clinical decision support system (CDSS) in Arden Syntax which computes necessary and preventable PCT orders. METHODS: The CDSS implements a rule set based on the latest PCT value, the time period since this measurement, and the PCT trend scenario...
September 25, 2015: Artificial Intelligence in Medicine
Stefan Kraus, Martin Enders, Hans-Ulrich Prokosch, Ixchel Castellanos, Richard Lenz, Martin Sedlmayr
OBJECTIVE: Arden Syntax is a standard for representing and sharing medical knowledge in form of independent modules and looks back on a history of 25 years. Its traditional field of application is the monitoring of clinical events such as generating an alert in case of occurrence of a critical laboratory result. Arden Syntax Medical Logic Modules must be able to retrieve patient data from the electronic medical record in order to enable automated decision making. For patient data with a simple structure, for instance a list of laboratory results, or, in a broader view, any patient data with a list or table structure, this mapping process is straightforward...
September 12, 2015: Artificial Intelligence in Medicine
X Chang, D Yang
PURPOSE: A software tool was developed in this study to perform automatic weekly physics chart check on the patient data in ARIA. The tool accesses the electronic patient data directly from ARIA server and checks the accuracy of treatment deliveries, and generates reports which summarize the delivery history and highlight the errors. METHODS: The tool has four modules. 1) The database interface is designed to directly access treatment delivery data from the ARIA database before reorganizing the data into the patient chart tree (PCT)...
June 2015: Medical Physics
Alexis Courbet, Drew Endy, Eric Renard, Franck Molina, Jérôme Bonnet
Whole-cell biosensors have several advantages for the detection of biological substances and have proven to be useful analytical tools. However, several hurdles have limited whole-cell biosensor application in the clinic, primarily their unreliable operation in complex media and low signal-to-noise ratio. We report that bacterial biosensors with genetically encoded digital amplifying genetic switches can detect clinically relevant biomarkers in human urine and serum. These bactosensors perform signal digitization and amplification, multiplexed signal processing with the use of Boolean logic gates, and data storage...
May 27, 2015: Science Translational Medicine
Ana Lúcia Leitão, Francisco J Enguita
Secondary metabolic pathways of fungal origin provide an almost unlimited resource of new compounds for medical applications, which can fulfill some of the, currently unmet, needs for therapeutic alternatives for the treatment of a number of diseases. Secondary metabolites secreted to the extracellular medium (extrolites) belong to diverse chemical and structural families, but the majority of them are synthesized by the condensation of a limited number of precursor building blocks including amino acids, sugars, lipids and low molecular weight compounds also employed in anabolic processes...
September 2014: Microbiological Research
Alexandra Sermeus, Wim Leonard, Benedikt Engels, Mark De Ridder
The last decade witnessed a significant progress in understanding the biology and immunology of colorectal cancer alongside with the technical innovations in radiotherapy. The stepwise implementation of intensity-modulated and image-guided radiation therapy by means of megavolt computed tomography and helical tomotherapy enabled us to anatomically sculpt dose delivery, reducing treatment related toxicity. In addition, the administration of a simultaneous integrated boost offers excellent local control rates...
January 7, 2014: World Journal of Gastroenterology: WJG
Barry R Goldspiel, Willy A Flegel, Gary DiPatrizio, Tristan Sissung, Sharon D Adams, Scott R Penzak, Leslie G Biesecker, Thomas A Fleisher, Jharana J Patel, David Herion, William D Figg, Juan J L Lertora, Jon W McKeeby
Pharmacogenetics (PG) examines gene variations for drug disposition, response, or toxicity. At the National Institutes of Health Clinical Center (NIH CC), a multidepartment Pharmacogenetics Testing Implementation Committee (PGTIC) was established to develop clinical decision support (CDS) algorithms for abacavir, carbamazepine, and allopurinol, medications for which human leukocyte antigen (HLA) variants predict severe hypersensitivity reactions. Providing PG CDS in the electronic health record (EHR) during order entry could prevent adverse drug events...
May 2014: Journal of the American Medical Informatics Association: JAMIA
Alison Greig, Diana Dawes, Susan Murphy, Gillian Parker, Brenda Loveridge
BACKGROUND: The demand for health professionals continues to increase, partially due to the aging population and the high proportion of practitioners nearing retirement. The University of British Columbia (UBC) has developed a program to address this demand, by providing support for internationally trained Physiotherapists in their preparation for taking the National Physiotherapy competency examinations.The aim was to create a program comprised of the educational tools and infrastructure to support internationally educated physiotherapists (IEPs) in their preparation for entry to practice in Canada and, to improve their pass rate on the national competency examination...
2013: BMC Medical Education
David Devos, Caroline Moreau, Kathy Dujardin, Ioav Cabantchik, Luc Defebvre, Regis Bordet
BACKGROUND: Parkinson's disease (PD) affects about 1% of the over 60 population and is characterized by a combination of motor symptoms (rest tremor, bradykinesia, rigidity, postural instability, stooped posture and freezing of gait [FoG]) and non-motor symptoms (including psychiatric and cognitive disorders). Given that the loss of dopamine in the striatum is the main pathochemical hallmark of PD, pharmacological treatment of the disease has focused on restoring dopaminergic neurotransmission and thus improving motor symptoms...
October 2013: Clinical Therapeutics
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