{"title":"Role of semantic web in health informatics","authors":"S. Sahoo, A. Sheth, Guo-Qiang Zhang","doi":"10.1145/2110363.2110480","DOIUrl":"https://doi.org/10.1145/2110363.2110480","url":null,"abstract":"Leveraging the rapidly increasing amount of health care data to demonstrably enhance quality of clinical research and patient care has become a critical challenge for health care providers, researchers, and informaticians. In addition to the sheer volume of the data, the large disparity in storage formats, distributed locations, and variable quality of data, is exacerbating data management issues. There is an urgent need to address these issues to enable multi-center clinical studies, comply with new health care policies that encourage adoption of Electronic Health Records (EHR), and effectively move towards the National Institutes of Health (NIH) roadmap of translational research.\u0000 The Semantic Web initiative by the World Wide Web Consortium (W3C) has defined a set of standards and technologies for representing, integration, and querying large-scale data with increasing use in health care, exemplified by the W3C Health Care and Life Sciences (HCLS) Interest Group. Ontologies are a core feature of the Semantic Web and are being increasingly adopted by the biomedical community, which is demonstrated by the more than 260 ontologies listed at the National Center for Biomedical Ontologies (NCBO). This tutorial will weave together three themes and the associated topics: Semantic Web and Biomedical Ontologies Key Technologies - Semantic Provenance and Data Integration Real World Use Cases and In-Use Tools","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"13 1","pages":"881-882"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79581014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital mockups for the testing of a medical ventilator","authors":"Bailey Miller, F. Vahid, T. Givargis","doi":"10.1145/2110363.2110473","DOIUrl":"https://doi.org/10.1145/2110363.2110473","url":null,"abstract":"Medical devices have become more difficult to test as hardware and software complexity grows. Device manufacturers must meet minimum standards while striving to reduce product development time. New techniques for providing comprehensive testing need to be developed that can be easily configured, cover a broad range of test scenarios, and facilitate automation. Digital mockups describe a method of testing a cyber-physical device wherein a digital model of the environment is used to stress a real device's embedded software and functionality. We demonstrate the use of a digital mockup to test a medical ventilator device. A lung model is hosted on an FPGA and connected to a ventilator by bypassing the ventilator's transducers. PC-based manager software allows user configuration in real-time of both the device and the model to facilitate test automation. An XML model description is embedded in the digital mockup framework to facilitate communication between the FPGA and PC software.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"39 1","pages":"859-862"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81304903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using SNOMED semantic concept groupings to enhance semantic-type assignment consistency in the UMLS","authors":"D. Wei, M. Halper, Gai Elhanan","doi":"10.1145/2110363.2110465","DOIUrl":"https://doi.org/10.1145/2110363.2110465","url":null,"abstract":"SNOMED concepts make up a significant percentage of the UMLS Metathesaurus. Hence, the correctness of their semantic type (ST) assignments contributes significantly to the overall correctness of ST assignments throughout the UMLS. Two kinds of semantic concept groupings within SNOMED are employed to automatically check for potentially inconsistent ST assignments, based on their collective sets of assignments. The first kind of concept grouping, called a semantic uniformity group (SUG), is based on concepts' properties and hierarchical configurations. The second kind constitutes intersections of groupings of the first kind (\"overlapping SUG\" (OSUG)). The methodology is applied to SNOMED's Specimen hierarchy, where 448 concepts residing in 40 SUGs are analyzed. A hypothesis concerning the fact that OSUGs can be stronger indicators of inconsistencies than SUGs is considered. The results show that our methodology can be effective in finding ST assignment problems and thus can augment the suite of techniques available for managing the enormous amount of such assignments.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"47 1","pages":"825-830"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82947314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jeff Crow, Ramona Broussard, L. Dong, Jeanine Finn, Brandon Wiley, Gary Geisler
{"title":"A synthesis of research on ICT adoption and use by medical professionals in Sub-Saharan Africa","authors":"Jeff Crow, Ramona Broussard, L. Dong, Jeanine Finn, Brandon Wiley, Gary Geisler","doi":"10.1145/2110363.2110384","DOIUrl":"https://doi.org/10.1145/2110363.2110384","url":null,"abstract":"Health care practitioners rely on access to relevant and up-to-date medical information in order to effectively treat their patients. One efficient, low-cost avenue for such information is online collections, but certain regions lack the information and communication technologies (ICT) necessary for widespread and reliable access to online resources. The characteristics of existing ICT infrastructure in many developing countries are not well understood. This research synthesis focuses on Sub-Saharan Africa (SSA), an area with low levels of ICT infrastructure. It presents a synthesis of statistical analyses and a review across disciplines of information published on the state of ICT and health information access in SSA. An overview of the existing knowledge allowed us to identify the salient features of this particular ICT environment, and informed the development of a survey for SSA healthcare professionals. The synthesis and preliminary results from our survey suggest that Internet connectivity remains highly unreliable in Sub-Saharan Africa and that mobile devices provide the most reliable technology for health care providers to carry out their work.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"18 1","pages":"161-170"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82871925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. A. Gomes, A. Ziviani, Bruno Correa, I. M. Teixeira, Vinícius Macedo Moreira
{"title":"SPLiCE: a software product line for healthcare","authors":"A. A. Gomes, A. Ziviani, Bruno Correa, I. M. Teixeira, Vinícius Macedo Moreira","doi":"10.1145/2110363.2110447","DOIUrl":"https://doi.org/10.1145/2110363.2110447","url":null,"abstract":"In face of well-known inhibitor factors for the dissemination of Healthcare Information Systems (HIS) - \"e.g., high development cost, lack of standardization, and technology-orientation\" - model-driven engineering (MDE) in general, and OMG's model-driven architecture (MDA) in particular, has been referred to in the medical informatics literature as a cost-effective proposal to advance maintainable HIS. In this paper, we propose an MDE method for HISes that goes beyond MDA. This method seeks a higher degree of maintainability and reuse by adhering to three main principles: transversalization of data models and architecture models, dualization of information and clinical data models, and stylization of architecture models. To support this method on the generation of HIS skeletons, we are progressing work on the development of a software product line called SPLiCE (Software Product Line for healthCarE) that weaves together clinical data models described according to the openEHR specifications and architecture models specified in the Acme language.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"55 1","pages":"721-726"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90816646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Combi Carlo, Mauro Gambini, S. Migliorini, Roberto Posenato
{"title":"Modelling temporal, data-centric medical processes","authors":"Combi Carlo, Mauro Gambini, S. Migliorini, Roberto Posenato","doi":"10.1145/2110363.2110382","DOIUrl":"https://doi.org/10.1145/2110363.2110382","url":null,"abstract":"Workflow technology has emerged as one of the leading technologies in modeling, redesigning, and executing medical processes and some interesting workflow management systems are available. Nevertheless, such systems are lacking in an effective management of two key aspects: data dependencies and temporal constraints. In clinical/health context these two aspects are of paramount importance. For example, a surgery intervention could need the results of the concurrent bioptic analysis to be properly concluded; on the other hand, to successfully apply a fibrinolytic therapy to patients with ST-segment Elevation Myocardial Infarction (STEMI) a maximum delay of 30 minutes must be considered w.r.t. the emergency department admission. In this paper, we propose TNest, a new advanced, structured and highly modular workflow modeling language that allows one to easily express data dependencies and time constraints during process design. All the features of TNest have been considered to model the process related to classical clinical guidelines, i.e. those for the management of STEMI patients, published by the American College of Cardiology/American Heart Association.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"42 1","pages":"141-150"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86573710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Stevens, Ana Rosa Giannareas, Vanessa Kern, Adrian Viesca Trevino, M. Mullen-Fortino, Andrew L. King, Insup Lee
{"title":"Smart alarms: multivariate medical alarm integration for post CABG surgery patients","authors":"N. Stevens, Ana Rosa Giannareas, Vanessa Kern, Adrian Viesca Trevino, M. Mullen-Fortino, Andrew L. King, Insup Lee","doi":"10.1145/2110363.2110423","DOIUrl":"https://doi.org/10.1145/2110363.2110423","url":null,"abstract":"In order to monitor patients in the Intensive Care Unit, healthcare practitioners set threshold alarms on each of many individual vital sign monitors. The current alarm algorithms elicit numerous false positive alarms producing an inefficient healthcare system, where nurses habitually ignore low level alarms due to their overabundance.\u0000 In this paper, we describe an algorithm that considers multiple vital signs when monitoring a post coronary artery bypass graft (post-CABG) surgery patient. The algorithm employs a Fuzzy Expert System to mimic the decision processes of nurses. In addition, it includes a Clinical Decision Support tool that uses Bayesian theory to display the possible CABG-related complications the patient might be undergoing at any point in time, as well as the most relevant risk factors. As a result, this multivariate approach decreases clinical alarms by an average of 59% with a standard deviation of 17% (Sample of 32 patients, 1,451 hours of vital sign data). Interviews comparing our proposed system with the approach currently used in hospitals have also confirmed the potential efficiency gains from this approach.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"8 1","pages":"533-542"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86902549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data anonymization using an improved utility measurement","authors":"Stuart Morton, M. Mahoui, P. Gibson","doi":"10.1145/2110363.2110412","DOIUrl":"https://doi.org/10.1145/2110363.2110412","url":null,"abstract":"As medical data continues to transition to an electronic format, opportunities arise for researchers to use this microdata to discover patterns and increase knowledge in order to improve patient care. Now more than ever, it is critical to protect the identities of the patients contained in these databases. Even after removing obvious \"identifier\" attributes, such as social security numbers or first and last names, that clearly identify a specific person, it is possible to join \"quasi-identifier\" attributes from two or more publicly available databases to identify individuals. K-anonymity is an established approach that has been used to ensure that no one individual can be distinguished within a group of at least k individuals. The majority of the proposed approaches implementing k-anonymity have focused on improving the efficiency of algorithms implementing k-anonymity; less emphasis has been put towards ensuring the \"utility\" of anonymized data from a researchers' perspective. We propose a data utility measurement, called the research value (RV), which evaluates how well common cutoffs for numerical data or groupings in categorical data are preserved during the anonymization process. The proposed algorithm utilizing the new utility function scales efficiently when the number of attributes is large, while still ensuring that the generalization process is dictated by the data content expert's assessment of the utility of the generalized data.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"31 1","pages":"429-436"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89184855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Medical question answering: translating medical questions into sparql queries","authors":"Asma Ben Abacha, Pierre Zweigenbaum","doi":"10.1145/2110363.2110372","DOIUrl":"https://doi.org/10.1145/2110363.2110372","url":null,"abstract":"Designing question answering systems requires efficient and deep analysis of natural language questions. A key process for this task is to translate the semantic relations expressed in the question into a machine-readable representation.\u0000 In this paper we tackle question analysis in the medical field. More precisely, we study how to translate a natural language question into a machine-readable representation. The underlying transformation process requires determining three key points: (i) What are the main characteristics of medical questions? (ii) Which methods are the most fitted for the extraction of these characteristics? and (iii) how to translate the extracted information into a machine-understandable representation?\u0000 We present a complete question analysis approach including medical entity recognition, semantic relation extraction and automatic translation to SPARQL queries. Our study supports the fact that SPARQL can represent a wide range of natural language questions in a question-answering perspective. Experiments on a corpus of real questions show that we obtain encouraging results in medical entity recognition and relation extraction. The obtained results also show that the output SPARQL queries correctly represent more than 60% of the original questions.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"7 1","pages":"41-50"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78928383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ASCOT: assisting search and creation of clinical trials","authors":"Ioannis Korkontzelos, S. Ananiadou","doi":"10.1145/2110363.2110472","DOIUrl":"https://doi.org/10.1145/2110363.2110472","url":null,"abstract":"In this paper we present ASCOT, an efficient search application for clinical trials that is designed to aid writing new trials. Clinical trials are protocols describing medical research on humans. Although they are a valuable source of medical practice evidence, search is laborious due to the immense number of existing protocols. Writing a new trial includes composing detailed eligibility criteria, which might be time-consuming, especially for new researchers. ASCOT uses text mining and data mining methods to enrich clinical trials with metadata, that can be employed to narrow down search. In addition, ASCOT integrates an eligibility criteria recommendation component.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"77 1","pages":"855-858"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83885278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}