S. Lee, Jonathan Woodbridge, A. Nahapetian, M. Sarrafzadeh
{"title":"MARHS: mobility assessment system with remote healthcare functionality for movement disorders","authors":"S. Lee, Jonathan Woodbridge, A. Nahapetian, M. Sarrafzadeh","doi":"10.1145/2110363.2110402","DOIUrl":"https://doi.org/10.1145/2110363.2110402","url":null,"abstract":"Due to the global trend of aging societies with increasing demand for low cost and high quality healthcare services, there has been extensive research and development directed toward wireless and remote healthcare technology that considers age-associated ailments. In this paper, we introduce Mobility Assessment and Remote Healthcare System (MARHS) that utilizes a force sensor in order to provide quantitative assessment of the mobility level of patients with movement disorder ailment, which is one common age-associated ailment. The proposed system also enables the remote healthcare services that allow patients to receive diagnoses from clinical experts without his/her presence. MARHS also contains a data analysis unit in order to provide information that summarizes the characteristics of symptoms of a group of patients (e.g., patients with a certain type of ailment) using a combination of feature ranking, feature selection, and classification algorithms. The results of the analyses on the data from a clinical trial show that the examination results of the proposed system can accurately recognize various groups of patients, such as, patients with (i) chronic obstructive pulmonary disease, (ii) hypertension, and (iii) cerebral vascular accident with an average accuracy of 90.05%, 82.60%, and 93.54%, respectively.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"21 1","pages":"333-342"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82649625","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}
Vivek Nigam, Tajana Ban Kirigin, A. Scedrov, C. Talcott, M. Kanovich, Ranko Perovic
{"title":"Towards an automated assistant for clinical investigations","authors":"Vivek Nigam, Tajana Ban Kirigin, A. Scedrov, C. Talcott, M. Kanovich, Ranko Perovic","doi":"10.1145/2110363.2110456","DOIUrl":"https://doi.org/10.1145/2110363.2110456","url":null,"abstract":"Before a drug can be made available to the general public, its effectiveness has to be experimentally evaluated. Experiments that involve human subjects are called Clinical Investigations (CIs). Since human subjects are involved, procedures for CIs are elaborated so that data required for validating the drug can be collected while ensuring the safety of subjects. Moreover, CIs are heavily regulated by public agencies, such as the Food and Drug Administration (FDA). Violations of regulations or deviations from procedures should be avoided as they may incur heavy penalties and more importantly may compromise the health of subjects. However, CIs are prone to human error, since CIs are carried out by the study team, which might be overloaded with other tasks, such as hospital and/or pharmacy duties, other trials, etc. In order to avoid discrepancies, we propose developing an automated assistant for helping all the parties to correctly carry out CIs as well as to detect and prevent discrepancies as early as possible. This way the proposed automated assistant would minimize error, and therefore increase the safety of the involved subjects. This paper takes the first steps towards that direction. In particular, we propose a model for collaborative systems with explicit time, called Timed Local State Transition Systems (TLSTS), and argue that it can be used for specifying procedures and regulations for CIs, which mention time explicitly. Finally we show how to implement a TLSTS specification using Maude, an existing computational tool based on rewriting.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"6 1","pages":"773-778"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78416619","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}
Benjamin M Marlin, David C. Kale, R. Khemani, R. Wetzel
{"title":"Unsupervised pattern discovery in electronic health care data using probabilistic clustering models","authors":"Benjamin M Marlin, David C. Kale, R. Khemani, R. Wetzel","doi":"10.1145/2110363.2110408","DOIUrl":"https://doi.org/10.1145/2110363.2110408","url":null,"abstract":"Bedside clinicians routinely identify temporal patterns in physiologic data in the process of choosing and administering treatments intended to alter the course of critical illness for individual patients. Our primary interest is the study of unsupervised learning techniques for automatically uncovering such patterns from the physiologic time series data contained in electronic health care records. This data is sparse, high-dimensional and often both uncertain and incomplete. In this paper, we develop and study a probabilistic clustering model designed to mitigate the effects of temporal sparsity inherent in electronic health care records data. We evaluate the model qualitatively by visualizing the learned cluster parameters and quantitatively in terms of its ability to predict mortality outcomes associated with patient episodes. Our results indicate that the model can discover distinct, recognizable physiologic patterns with prognostic significance.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"42 1","pages":"389-398"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81229594","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}
Manan Gupta, Jeffrey W. Bertrand, Sabarish V. Babu, P. Polgreen, Alberto Maria Segre
{"title":"An evolving multi-agent scenario generation framework for simulations in preventive medicine education","authors":"Manan Gupta, Jeffrey W. Bertrand, Sabarish V. Babu, P. Polgreen, Alberto Maria Segre","doi":"10.1145/2110363.2110392","DOIUrl":"https://doi.org/10.1145/2110363.2110392","url":null,"abstract":"We describe the design, implementation and evaluation of a novel multi-agent scenario generation framework for interactive virtual reality simulations towards preventive medicine education. Our scenario generation framework is based on recordings of human movements from a distributed sensor networks deployed in a real-world physical setting. The components of our framework include the generation of unique virtual agent behaviors from the sensor data, and algorithms for the generation of low level or gross movement behaviors such as path determination, directional traffic flows, collision avoidance and overtaking. The framework also includes the generation of high level fine actions for multi-agents such as techniques for interactive activities in pedagogical scenarios based on environment and temporal triggers. We applied our multi-agent scenario generation framework in an interactive simulation for hand hygiene education, and conduct an initial usability study to assess the educational benefits of the simulation to nursing students and evaluated the performance characteristics of our framework. Results of our quantitative and qualitative evaluations suggest that our framework was robust in creating engaging, compelling, and realistic interactive training scenarios with multiple virtual agents in simulated hospital situations.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"9 1","pages":"237-246"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90945126","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}
S. Bhavnani, Mamta Abbas, Vickie McMicken, N. Oezguen, Jeffry A. Tupa
{"title":"iCircos: visual analytics for translational bioinformatics","authors":"S. Bhavnani, Mamta Abbas, Vickie McMicken, N. Oezguen, Jeffry A. Tupa","doi":"10.1145/2110363.2110440","DOIUrl":"https://doi.org/10.1145/2110363.2110440","url":null,"abstract":"Translational bioinformatics increasingly involves the discovery of associations between molecular and phenotype information, with the goal of transforming those discoveries into novel methods for diagnosis and treatment. To enable such complex analysis, researchers need approaches that provide the simultaneous representation and interactive analysis of patients, and their molecular and phenotype information. Because few existing visual analytical systems provide appropriate capabilities, we developed a prototypical visual analytical system called iCircos, which enables the simultaneous and interactive exploration of molecular and phenotype information. We discuss our overall method for developing the prototype by integrating user needs and design heuristics from visual analytics, with agile programming in HTML5 and SVG. A demonstration of the prototype to explore molecular and phenotype associations in two disease datasets suggests that iCircos has the potential to accelerate translational discoveries in complex disease datasets. We conclude by discussing insights about designing visual analytical systems for translational bioinformatics, and present our future plans for user testing and adding advanced interactivity to the prototype.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"67 1","pages":"679-684"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85641465","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":"Automated search for patient records: classification of free-text medical reports using conditional random fields","authors":"Ivko Cvejic, Jun Zhang, J. Marx, J. Tjoe","doi":"10.1145/2110363.2110442","DOIUrl":"https://doi.org/10.1145/2110363.2110442","url":null,"abstract":"The purpose of this research is to develop a classifier to automatically identify qualified patients for breast cancer clinical trials from free-text medical reports. Specifically, we trained a conditional random field based classifier to identify patterns in sentences from free-text reports that are consistent with trial criteria. Experimental results indicate that this method works well, outperforming several competing techniques. Our work is important in two ways. First, it could be used to increase efficiency and decrease the cost of the patient enrollment process for clinical trials. Second, it could be extended and adapted to other patient identification problems.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"42 1","pages":"691-696"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87282222","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}
Ronny Mans, H. Reijers, Michiel van Genuchten, Daniel Wismeijer
{"title":"Mining processes in dentistry","authors":"Ronny Mans, H. Reijers, Michiel van Genuchten, Daniel Wismeijer","doi":"10.1145/2110363.2110407","DOIUrl":"https://doi.org/10.1145/2110363.2110407","url":null,"abstract":"Business processes in dentistry are quickly evolving towards 'digital dentistry'. This means that many steps in the dental process will increasingly deal with computerized information or computerized half products. A complicating factor in the improvement of process performance in dentistry, however, is the large number of independent dental professionals that are involved in the entire process. In order to reap the benefits of digital dentistry, it is essential to obtain an accurate view on the current processes in practice. In this paper, so called process mining techniques are applied in order to demonstrate that, based on automatically stored data, detailed process knowledge can be obtained on dental processes, e.g. it can be discovered how dental processes are actually executed. To this end, we analyze a real case of a private dental practice, which is responsible for the treatment of patients (diagnosis, placing of implants and the placement of the final restoration), and the dental lab that is responsible for the production of the final restoration. To determine the usefulness of process mining, the entire process has been investigated from three different perspectives: (1) the control-flow perspective, (2) the organizational perspective and (3) the performance perspective. The results clearly show that process mining is useful to gain a deep understanding of dental processes. Also, it becomes clear that dental process are rather complex, which require a considerable amount of flexibility. We argue that the introduction of workflow management technology is needed in order to make digital dentistry a success.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"110 1","pages":"379-388"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88057711","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}
P. Rao, Tivakar Komara Swami, D. Rao, Michael J. Barnes, Swati G. Thorve, P. Natoo
{"title":"A software tool for large-scale sharing and querying of clinical documents modeled using HL7 version 3 standard","authors":"P. Rao, Tivakar Komara Swami, D. Rao, Michael J. Barnes, Swati G. Thorve, P. Natoo","doi":"10.1145/2110363.2110417","DOIUrl":"https://doi.org/10.1145/2110363.2110417","url":null,"abstract":"We present a novel software tool called CDN (Collaborative Data Network) for large-scale sharing and querying of clinical documents modeled using HL7 v3 standard (e.g., Clinical Document Architecture (CDA), Continuity of Care Document (CCD)). Similar to the caBIG initiative, CDN aims to foster innovations in cancer treatment and diagnosis through large-scale, sharing of clinical data. We focus on cancer because it is the second leading cause of deaths in the US. CDN is based on the synergistic combination of peer-to-peer technology and the extensible markup language XML and XQuery. Using CDN, a user can pose both structured queries and keyword queries on the HL7 v3 documents hosted by data providers. CDN is unique in its design - it supports location oblivious queries in a large-scale, network wherein a user does not explicitly provide the location of the data for a query. A location service in CDN discovers data of interest in the network at query time. CDN uses standard cryptographic techniques to provide security to data providers and protect the privacy of patients. Using CDN, a user can pose clinical queries pertaining to cancer containing aggregations and joins across data hosted by multiple data providers. CDN is implemented with open-source software for web application development and XML query processing. We report the evaluation of CDN in a distributed environment (LAN) using a real dataset of discharge summaries available from the i2b2 project.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"39 1","pages":"473-482"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84512318","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}
P. Sanderson, T. Xiao, Clinton Freeman, Wendy Broxham
{"title":"Envisioning healthcare work: models for prospective evaluation of new systems","authors":"P. Sanderson, T. Xiao, Clinton Freeman, Wendy Broxham","doi":"10.1145/2110363.2110457","DOIUrl":"https://doi.org/10.1145/2110363.2110457","url":null,"abstract":"When healthcare organizations plan the introduction of advanced health information systems, they need to envision future use. In this paper we describe four different ways of modeling the flow of information in a healthcare context: normative, indicating how information should flow; descriptive, indicating how information does flow now; formative, indicating how information could flow; and projective, indicating how information will flow with a specific new health information system. All approaches must work together for analysts to envision future use effectively. We illustrate the above distinctions with a case study based in the Department of Diagnostic Radiology (DDR) in a major tertiary hospital. DDR personnel were considering the introduction of software to help them schedule patient porterage (transport) services to, from, and within the department. Our prospective evaluation method let personnel see advantages and disadvantages of different ways of deploying the porterage software and led to the specification and design of the ValuesViewer™ application.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"21 1","pages":"779-784"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84589714","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}
W. Tan, P. Haas, R. Mak, C. Kieliszewski, P. Selinger, P. Maglio, Susanne Glissmann, Melissa Cefkin, Yinan Li
{"title":"Splash: a platform for analysis and simulation of health","authors":"W. Tan, P. Haas, R. Mak, C. Kieliszewski, P. Selinger, P. Maglio, Susanne Glissmann, Melissa Cefkin, Yinan Li","doi":"10.1145/2110363.2110424","DOIUrl":"https://doi.org/10.1145/2110363.2110424","url":null,"abstract":"As asserted by the Institute of Medicine, sound health policy and investment decisions require use of \"what if\" simulation models to analyze the potential impacts of alternative decisions on health outcomes. The challenge is that high-level health decisions require understanding complex interactions of diverse systems across many disciplines both inside and outside of healthcare, creating a need for experts across widely different domains to combine their data and models. Splash - the Smarter Planet Platform for Analysis and Simulation of Health - is a novel decision support framework that facilitates combining heterogeneous, pre-existing simulation models and data from different domains and disciplines. Splash leverages and extends data integration, search, and scientific-workflow technologies to permit loose coupling of models via data exchange. This approach avoids the need to enforce universal standards for data and models, thereby facilitating both model interoperability and reuse of models and data that were independently created or curated by different individuals or organizations. In this way Splash can help domain experts from different areas collaborate effectively and efficiently to attack complex health problems. We illustrate Splash's architecture and capabilities using a simple, proof-of-concept model of community obesity. We show how models of transportation, eating habits, food-shopping choices, exercise, and human metabolism can be combined with geographic, store location, and population data to play \"what if,\" asking, for instance, how community obesity measures would change if tax incentives are used to encourage grocery chains selling healthy and inexpensive food to open stores near obesity \"hot spots.\"","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"25 1","pages":"543-552"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89116620","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}