Mohammad S. Hashemian, Kevin G. Stanley, Dylan L. Knowles, J. Calver, N. Osgood
{"title":"Human network data collection in the wild: the epidemiological utility of micro-contact and location data","authors":"Mohammad S. Hashemian, Kevin G. Stanley, Dylan L. Knowles, J. Calver, N. Osgood","doi":"10.1145/2110363.2110394","DOIUrl":"https://doi.org/10.1145/2110363.2110394","url":null,"abstract":"Contagions - either pathogens spread through contact networks or societal memes spread through social networks - impact the occurrence and character of both epidemic and endemic diseases. While computational models explore disease parameters in the context of a given contact network, these models are always subject to the caveat that reality may not be consistent with the simplified assumptions regarding contact, contagion or network structure. More - and more accurate - data on the contact dynamics between people and places could alleviate some uncertainties, and make models more robust tools for policy-makers and researchers. Properly applied, consumer electronics can serve as a valuable source of this data. Using smartphones as sensor platforms rather than personal communications devices, it is possible to record high fidelity information on a participant's location, activity level, and contacts between both people and places. This paper describes the design, architecture and a preliminary deployment of a general smartphone-based epidemiological data collection system. The dataset, gathered over one month, contains over 45 million records related to the behavioral patterns of 39 participants. We provide an initial analysis of aggregate level statistics to demonstrate the power and scope of the technique for capturing relevant data. Demonstrating the potential for such data to inform decision-making, we further perform an agent-based simulation of a flu-like illness that uses the dataset to capture aspects of both person-person and environmental (place-person) transmission. We demonstrate that the data collection is possible, valuable, and scalable and that the data can be leveraged to inform detailed models capturing more complex physical interactions than were previously feasible.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"4 1","pages":"255-264"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78953798","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}
Abdelkader Gouaïch, Nadia Hocine, L. Dokkum, Denis Mottet
{"title":"Digital-pheromone based difficulty adaptation in post-stroke therapeutic games","authors":"Abdelkader Gouaïch, Nadia Hocine, L. Dokkum, Denis Mottet","doi":"10.1145/2110363.2110368","DOIUrl":"https://doi.org/10.1145/2110363.2110368","url":null,"abstract":"In this paper, we propose a dynamic difficulty adaptation approach for serious games dedicated to upper-limb rehabilitation after stroke. The proposed approach aims to provide a personalized rehabilitation session in which the training intensity and challenges can be adapted to patient's abilities and training needs. The objective is to increase the rehabilitation volume by getting the patient engaged in the therapy session. This approach has been implemented and tested through a point and click game. It has been also experimented on healthy people in order to explain how this approach will be integrated to post-stroke therapeutic games.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"57 1","pages":"5-12"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80228478","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":"Detecting negation of medical problems in French clinical notes","authors":"Louise Deléger, Cyril Grouin","doi":"10.1145/2110363.2110443","DOIUrl":"https://doi.org/10.1145/2110363.2110443","url":null,"abstract":"When automatically mining narrative clinical notes to extract meaningful information, such as medical problems, it is essential to take into account the context of this information. For instance, determining whether medical conditions are negated or not is key information for accurately processing medical reports. This article presents an experiment in adapting the state-of-art NegEx algorithm (Chapman et al.) to the French language and evaluating both algorithms (the original English algorithm and the derived French version) on two clinical corpora (English and French, respectively) annotated for medical problems and their negation status. NegEx is a rule-based algorithm which detects negations of medical problems in English-language medical texts, by looking for specific negation trigger phrases in the context of the medical concepts. Our approach has consisted in designing a new list of trigger phrases in French, by studying examples extracted from French clinical notes and relying on the original English list. We performed an evaluation of the negation detection in both corpora. This study show that the two systems achieve comparable results and good performance (respectively 0.839 and 0.867 F-measure for NegEx and its French adaptation).","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"10 1","pages":"697-702"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82988415","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}
Peifung E. Lam, John C. Mitchell, A. Scedrov, Sharada Sundaram, Frank Wang
{"title":"Declarative privacy policy: finite models and attribute-based encryption","authors":"Peifung E. Lam, John C. Mitchell, A. Scedrov, Sharada Sundaram, Frank Wang","doi":"10.1145/2110363.2110401","DOIUrl":"https://doi.org/10.1145/2110363.2110401","url":null,"abstract":"Regulations and policies regarding Electronic Health Information (EHI) are increasingly complex. Federal and State policy makers have called for both education to increase stakeholder understanding of complex policies and improved systems that impose policy restrictions on access and transmission of EHI. Building on prior work formalizing privacy laws as logic programs, we prove that for any privacy policy that conforms to patterns evident in HIPAA, there exists a finite representative hospital database that illustrates how the law applies in all possible hospitals. This representative illustrative example can support new education, new policy development, and new policy debugging tools. Addressing the need for secure transmission of usable EHI, we show how policy formalized as a logic program can also be used to automatically generate a form of access control policy used in Attribute-Based Encryption (ABE). This approach, testable using our representative hospital model, makes it possible to share policy-encrypted data on untrusted cloud servers, or send strategically encrypted data across potentially insecure networks. As part of our study, we built a prototype to secure Health Information Exchange (HIE), with automatically generated ABE policies, and measure its performance.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"98 1","pages":"323-332"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80908889","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":"Health information searching behavior in MedlinePlus and the impact of tasks","authors":"Yan Zhang, Peiling Wang, A. Heaton, Heidi Winkler","doi":"10.1145/2110363.2110434","DOIUrl":"https://doi.org/10.1145/2110363.2110434","url":null,"abstract":"Consumer health information is increasingly available online, but this vast amount of information is not necessarily accessible to general consumers. To design effective health information websites, it is critically important to gain an in-depth understanding of how consumers search for health information in these systems. This study is an attempt to explore consumer health information searching behavior in web-based health information spaces by observing their search behaviors in MedlinePlus. Nineteen undergraduate students accomplished three search tasks in MedlinePlus. The participants used both searching and browsing as interaction strategies. This paper reports on the findings of their searching behaviors, particularly query construction, query reformulation, and access to results; and their browsing behaviors, particularly access to different resources, health topics, and related topics. Furthermore, we examined if the number of concepts involved in search tasks had any impact on search behaviors.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"15 1","pages":"641-650"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80834964","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 exploration and knowledge discovery in a patient wellness tracking (PWT) system at a nurse-managed health services center","authors":"Yuan An, Ritu Khare, I. Song, Xiaohua Hu","doi":"10.1145/2110363.2110437","DOIUrl":"https://doi.org/10.1145/2110363.2110437","url":null,"abstract":"This paper describes our ongoing research on data exploration and knowledge discovery in a patient wellness tracking (PWT) information system developed for a nurse-managed community health center. The center employs an innovative and transdisciplinary care model that fully integrates behavioral and various wellness services into primary care to form a team approach. We have developed the PWT system that integrates clinical data collected in an electronic medical record (EMR) system with the data generated by a spectrum of healthy living programs and wellness services. While data is being collected rapidly in large volumes, it is imperative to develop effective tools in helping clinicians explore data and discover knowledge. In this paper, we present (1) an exploratory data browser based on information content in information theory for searching granularity patient data, and (2) a knowledge discovery component based on probabilistic graphical models for diagnosis, prognosis, and revealing clinical cause-effect interactions.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"92 Suppl 2 1","pages":"661-666"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87721290","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}
Thomas Hupperich, Hans Löhr, A. Sadeghi, M. Winandy
{"title":"Flexible patient-controlled security for electronic health records","authors":"Thomas Hupperich, Hans Löhr, A. Sadeghi, M. Winandy","doi":"10.1145/2110363.2110448","DOIUrl":"https://doi.org/10.1145/2110363.2110448","url":null,"abstract":"Electronic health records (EHR) are a convenient method to exchange medical information of patients between different healthcare providers. In many countries privacy laws require to protect the confidentiality of these data records and let the patient control the access to them. Existing approaches to protect the privacy of EHRs are either insufficient for these strict laws or they are too restrictive in their usage. For example, smartcard-based encryption systems require the patient to be always present to authorize access to medical records. However, this does not allow a physician to access an EHR of a patient who is unable to show up in person.\u0000 In this paper, we propose a security architecture for EHR infrastructures that provides more flexibility but retains the security of patient-controlled encryption. In our proposal patients are able to authorize access to their records remotely (e.g. via phone) and time-independent for later processing by the physician. The security of our approach relies on modern cryptographic schemes and their incorporation into an EHR infrastructure. The adoption of our security architecture would allow to fulfill strict privacy laws while relaxing usage restrictions of existing security protections.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"58 1","pages":"727-732"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83291199","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":"Automatic creation and refinement of the clusters of pharmacovigilance terms","authors":"M. Dupuch, C. Bousquet, N. Grabar","doi":"10.1145/2110363.2110386","DOIUrl":"https://doi.org/10.1145/2110363.2110386","url":null,"abstract":"Pharmacovigilance is the activity related to the collection, analysis and prevention of adverse drug reactions (ADRs) induced by drugs or biologics. The detection of adverse drug reactions is performed thanks to statistical algorithms and to groupings of ADR terms. Standardized MedDRA Queries (SMQs) are the groupings which become a standard for assisting the retrieval and evaluation of MedDRA-coded ADR reports all through the world. Currently 84 SMQs have been created manually by experts, while several important safety topics are not yet covered. Dependent on the context of their application, these SMQs show a high degree of sensitivity and often appear to be over-inclusive. For pharmacovigilance experts it represents an important and tedious filtering of data. The objective of this work is to propose an automatic method for assisting the creation of SMQs and also for the refinement of their organization further to the creation of smaller clusters of ADR terms. In this work we propose to exploit the semantic distance and clustering approaches. We perform several experiments and vary several parameters of the method.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"46 1","pages":"181-190"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86941421","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":"Combining NLP with evidence-based methods to find text metrics related to perceived and actual text difficulty","authors":"G. Leroy, J. E. Endicott","doi":"10.1145/2110363.2110452","DOIUrl":"https://doi.org/10.1145/2110363.2110452","url":null,"abstract":"Measuring text difficulty is prevalent in health informatics since it is useful for information personalization and optimization. Unfortunately, it is uncertain how best to compute difficulty so that it relates to reader understanding. We aim to create computational, evidence-based metrics of perceived and actual text difficulty. We start with a corpus analysis to identify candidate metrics which are further tested in user studies. Our corpus contains blogs and journal articles (N=1,073) representing easy and difficult text. Using natural language processing, we calculated base grammatical and semantic metrics, constructed new composite metrics (noun phrase complexity and semantic familiarity), and measured the commonly used Flesch-Kincaid grade level. The metrics differed significantly between document types. Nouns were more prevalent but less familiar in difficult text; verbs and function words were more prevalent in easy text. Noun phrase complexity was lower, semantic familiarity was higher and grade levels were lower in easy text. Then, all metrics were tested for their relation to perceived and actual difficulty using follow-up analyses of two user studies conducted earlier. Base metrics and noun phrase complexity correlated significantly with perceived difficulty and could help explain actual difficulty.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"42 3 1","pages":"749-754"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88677429","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":"CIS system hazards derived from literature using systems and human factors perspectives","authors":"F. Mason-Blakley, J. Weber","doi":"10.1145/2110363.2110411","DOIUrl":"https://doi.org/10.1145/2110363.2110411","url":null,"abstract":"The FDA and other national regulatory agencies have expressed their intentions to begin enforcement of medical device regulations on Health Informatics Technology (HIT) vendors. A mechanism which might be employed to achieve this enforcement in the US is the Quality Systems Regulations (QSR), while similar legislation might be employed elsewhere. In order for vendors to achieve conformance with QSR regulations, they must first identify hazards which their products may pose. In order to identify these hazards we have undertaken a literature review from which we have extracted taxonomies of Clinical Informatics Systems (CIS) devices, systems and hazards. We present these three taxonomies, and a discussion of contemporary risk classfication strategies which are being applied to HIT. The taxonomies which have been developed provide actionable hazards for HIT vendors, and provide a potential basis for best practices in the engineering of HIT systems.","PeriodicalId":90523,"journal":{"name":"IHI ... : proceedings of the ... ACM SIGHIT International Health Informatics Symposium. ACM SIGHIT International Health Informatics Symposium","volume":"5 1","pages":"419-428"},"PeriodicalIF":0.0,"publicationDate":"2012-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74904447","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}