DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)最新文献
{"title":"Session details: Session 3 -- e-Learning and Serious Games for Health 2","authors":"J. Torrente","doi":"10.1145/3246858","DOIUrl":"https://doi.org/10.1145/3246858","url":null,"abstract":"","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78516077","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. Seiderer, Stephan Hammer, E. André, Marcus Mayr, T. Rist
This contribution addresses the development of technology for senior users with the aim to improve their general wellbeing. We present a prototype system named CARE that is used for in-situ testing in a senior's home and combines functionality of a digital image frame with an active recommender mode. The purpose of the recommender is to provide the user with context-specific recommendations. Recommendations are chosen on the basis of sensor data and a well-being model to carefully decide on at which point in time what kind of activity will be most suitable to suggest.
{"title":"Exploring Digital Image Frames for Lifestyle Intervention to Improve Well-being of Older Adults","authors":"A. Seiderer, Stephan Hammer, E. André, Marcus Mayr, T. Rist","doi":"10.1145/2750511.2750514","DOIUrl":"https://doi.org/10.1145/2750511.2750514","url":null,"abstract":"This contribution addresses the development of technology for senior users with the aim to improve their general wellbeing. We present a prototype system named CARE that is used for in-situ testing in a senior's home and combines functionality of a digital image frame with an active recommender mode. The purpose of the recommender is to provide the user with context-specific recommendations. Recommendations are chosen on the basis of sensor data and a well-being model to carefully decide on at which point in time what kind of activity will be most suitable to suggest.","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81104439","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}
In this article we present a new mobile game, edugames4all MicrobeQuest!, that covers core learning objectives from the European curriculum on microbe transmission, food and hand hygiene, and responsible antibiotic use. The game is aimed at 9 to 12 year olds and it is based on the desktop version of the edugames4all platform games. We discuss the challenges and lessons learned transitioning from a desktop based game to a mobile app. We also present the seamless evaluation obtained by integrating the assessment of educational impact of the game into the game mechanics.
{"title":"Mind the Gap: From Desktop to App","authors":"A. Molnar, P. Kostkova","doi":"10.1145/2750511.2750537","DOIUrl":"https://doi.org/10.1145/2750511.2750537","url":null,"abstract":"In this article we present a new mobile game, edugames4all MicrobeQuest!, that covers core learning objectives from the European curriculum on microbe transmission, food and hand hygiene, and responsible antibiotic use. The game is aimed at 9 to 12 year olds and it is based on the desktop version of the edugames4all platform games. We discuss the challenges and lessons learned transitioning from a desktop based game to a mobile app. We also present the seamless evaluation obtained by integrating the assessment of educational impact of the game into the game mechanics.","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"98 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88126385","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}
In this paper we present an innovative, computer-tailored application aimed at increasing Latino parents' intention to vaccinate their adolescent children against Human Papilloma Virus (HPV). HPV infection is the most common sexually transmitted infection in the United States. Latinas have the highest age-adjusted incidence rate for HPV-associated cervical cancer compared with their counterparts in other racial/ethnic groups. HPV vaccines offer hope against HPV-associated diseases. Because parental consent is required for children under age 18 to receive the HPV vaccination in most U. S. states, parents' attitudes and intention to have their children vaccinated are keys for promoting HPV vaccination. As health care providers often find it challenging to provide HPV vaccination education in clinical settings due to competing demands, we developed a computer-tailored application as an innovative and feasible approach to address this gap. The preliminary data suggest that our design is promising for increasing Latino parents' intention to vaccinate their adolescent children. In this paper we will provide the design of the application, preliminary findings and future plans.
{"title":"Developing a Bilingual, Computer-Tailored, HPV Vaccination Promotion Intervention Targeting Latino Parents","authors":"A. Chen, Ashish Amresh","doi":"10.1145/2750511.2750522","DOIUrl":"https://doi.org/10.1145/2750511.2750522","url":null,"abstract":"In this paper we present an innovative, computer-tailored application aimed at increasing Latino parents' intention to vaccinate their adolescent children against Human Papilloma Virus (HPV). HPV infection is the most common sexually transmitted infection in the United States. Latinas have the highest age-adjusted incidence rate for HPV-associated cervical cancer compared with their counterparts in other racial/ethnic groups. HPV vaccines offer hope against HPV-associated diseases. Because parental consent is required for children under age 18 to receive the HPV vaccination in most U. S. states, parents' attitudes and intention to have their children vaccinated are keys for promoting HPV vaccination. As health care providers often find it challenging to provide HPV vaccination education in clinical settings due to competing demands, we developed a computer-tailored application as an innovative and feasible approach to address this gap. The preliminary data suggest that our design is promising for increasing Latino parents' intention to vaccinate their adolescent children. In this paper we will provide the design of the application, preliminary findings and future plans.","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75276388","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}
Obesity among children and adolescents is increasingly becoming a major public health problem. Poverty and lower socio-economic status as well as lack of parental awareness regarding a balanced diet and adequate exercise all contribute towards childhood obesity. Unfortunately minority children have been especially vulnerable, among them inner-city Latino children continue to have the highest incidence rates of overweight and obesity; hence targeted intervention for this population group is of paramount importance. Access and affordability of smartphones and mobile internet devices provide an opportunity to create nutrition education interventions that can significantly impact and change attitude and knowledge regarding healthy diet and exercise. In this paper we present the design of a comic book style interactive storytelling mobile application that creates multiple cause and effect scenarios that the child can role play and learn from. The novelty and innovation lies in the design of the application to begin at a clinical setting while requiring completion at home and involving significant participation by the parent and the child
{"title":"Interactive Cause and Effect Comic-book Storytelling for Improving Nutrition Outcomes in Children","authors":"Ashish Amresh, M. Sinha, R. Birr, R. Salla","doi":"10.1145/2750511.2750533","DOIUrl":"https://doi.org/10.1145/2750511.2750533","url":null,"abstract":"Obesity among children and adolescents is increasingly becoming a major public health problem. Poverty and lower socio-economic status as well as lack of parental awareness regarding a balanced diet and adequate exercise all contribute towards childhood obesity. Unfortunately minority children have been especially vulnerable, among them inner-city Latino children continue to have the highest incidence rates of overweight and obesity; hence targeted intervention for this population group is of paramount importance. Access and affordability of smartphones and mobile internet devices provide an opportunity to create nutrition education interventions that can significantly impact and change attitude and knowledge regarding healthy diet and exercise. In this paper we present the design of a comic book style interactive storytelling mobile application that creates multiple cause and effect scenarios that the child can role play and learn from. The novelty and innovation lies in the design of the application to begin at a clinical setting while requiring completion at home and involving significant participation by the parent and the child","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78796175","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}
E. Cardillo, Maria Teresa Chiaravalloti, Erika Pasceri
Controlled vocabularies and standardized coding systems play a fundamental role in the healthcare domain. The International Classification of Diseases (ICD) is one of the most widely used classification systems for clinical problems and procedures. In Italy the 9th revision of the standard is used and recommended in primary care for encoding prescription documents. This paper describes a statistical and terminological study to assess ICD-9-CM use in primary care and its comparison to the International Classification of Primary Care (ICPC), specifically designed for primary care. The study has been conducted by analyzing the clinical records of about 199,000 patients provided by a set of 166 General Practitioners (GPs) in different Italian areas. The analysis has been based on several techniques for detecting coding practice and errors, like natural language processing and text-similarity comparison. Results showed that the selected GPs do not fully exploit the diseases and procedures descriptive capabilities of ICD-9-CM due to its complexity. Furthermore, compared to ICPC-2, it resulted less feasible in the primary care setting, particularly for the high granularity of the structure and for the lack of reasons for encounters.
{"title":"Assessing ICD-9-CM and ICPC-2 Use in Primary Care. An Italian Case Study","authors":"E. Cardillo, Maria Teresa Chiaravalloti, Erika Pasceri","doi":"10.1145/2750511.2750525","DOIUrl":"https://doi.org/10.1145/2750511.2750525","url":null,"abstract":"Controlled vocabularies and standardized coding systems play a fundamental role in the healthcare domain. The International Classification of Diseases (ICD) is one of the most widely used classification systems for clinical problems and procedures. In Italy the 9th revision of the standard is used and recommended in primary care for encoding prescription documents. This paper describes a statistical and terminological study to assess ICD-9-CM use in primary care and its comparison to the International Classification of Primary Care (ICPC), specifically designed for primary care. The study has been conducted by analyzing the clinical records of about 199,000 patients provided by a set of 166 General Practitioners (GPs) in different Italian areas. The analysis has been based on several techniques for detecting coding practice and errors, like natural language processing and text-similarity comparison. Results showed that the selected GPs do not fully exploit the diseases and procedures descriptive capabilities of ICD-9-CM due to its complexity. Furthermore, compared to ICPC-2, it resulted less feasible in the primary care setting, particularly for the high granularity of the structure and for the lack of reasons for encounters.","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81353266","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}
Clinical practice guidelines aim at raising the quality of healthcare. They are written in a narrative style and have to be translated into a computer-interpretable guideline (CIG) to be usable in a clinical software application. In this project we present the GOALS methodology which defines a stepwise approach to support this modeling process. The methodology is specified independently from the target CIG language and uses a guideline's text annotated with temporal concepts provided by TimeML as a starting point. It describes step-by-step how parts of the guideline's model can be generated and finally assessed by means of an evaluation scheme. By means of a scenario-based evaluation we show the applicability of GOALS by translating temporally-related sentences of a clinical protocol into its semi-formal model. Thus, we conclude that this methodology indeed supports the translation process.
{"title":"GOALS: Modeling Clinical Guidelines Based on TimeML Concepts","authors":"Reinhardt Wenzina, K. Kaiser","doi":"10.1145/2750511.2750520","DOIUrl":"https://doi.org/10.1145/2750511.2750520","url":null,"abstract":"Clinical practice guidelines aim at raising the quality of healthcare. They are written in a narrative style and have to be translated into a computer-interpretable guideline (CIG) to be usable in a clinical software application. In this project we present the GOALS methodology which defines a stepwise approach to support this modeling process. The methodology is specified independently from the target CIG language and uses a guideline's text annotated with temporal concepts provided by TimeML as a starting point. It describes step-by-step how parts of the guideline's model can be generated and finally assessed by means of an evaluation scheme. By means of a scenario-based evaluation we show the applicability of GOALS by translating temporally-related sentences of a clinical protocol into its semi-formal model. Thus, we conclude that this methodology indeed supports the translation process.","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90768704","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}
K. Bennett, F. Grasso, V. Lowers, A. McKay, C. Milligan
In this paper we present an evaluation study on project "Virtuous Cycles of Well-Being", aimed at exploring technology-based wound-care services, solutions and products to support older adults in managing wounds more independently. The aim was to evaluate opinion and use of the app by wound care service users. Nine participants were recruited with an average age of 65. A semi-structured interview methodology was employed following researcher demonstration and participant interaction with the app.
{"title":"Evaluation of an App to Support Older Adults with Wounds","authors":"K. Bennett, F. Grasso, V. Lowers, A. McKay, C. Milligan","doi":"10.1145/2750511.2750540","DOIUrl":"https://doi.org/10.1145/2750511.2750540","url":null,"abstract":"In this paper we present an evaluation study on project \"Virtuous Cycles of Well-Being\", aimed at exploring technology-based wound-care services, solutions and products to support older adults in managing wounds more independently. The aim was to evaluate opinion and use of the app by wound care service users. Nine participants were recruited with an average age of 65. A semi-structured interview methodology was employed following researcher demonstration and participant interaction with the app.","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79292572","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 cloud-mobile platform under development in the framework of the SMART ANGEL project co-financed by the Italian Liguria Region is presented . The platform is meant to address the needs of people with intellectual disabilities; it is oriented to support and enhance their autonomy and in particular their mobility in urban environments, and can be regarded as an innovative assistive technology. The platform is a concrete instance of how cutting-edge ICT technologies can act as assistive technologies to empower e-inclusion. The potential benefits for the final users (subjects with the Down syndrome and/or similar intellectual disabilities) are outlined as well as those for health professionals and care givers in charge of their assistance.
{"title":"Cloud-mobile Assistive Technologies for People with Intellectual Impairments: A Microsoft Azure-based Solution","authors":"R. Bottino, L. Freina, M. Ott, Filippo Costa","doi":"10.1145/2750511.2750530","DOIUrl":"https://doi.org/10.1145/2750511.2750530","url":null,"abstract":"A cloud-mobile platform under development in the framework of the SMART ANGEL project co-financed by the Italian Liguria Region is presented . The platform is meant to address the needs of people with intellectual disabilities; it is oriented to support and enhance their autonomy and in particular their mobility in urban environments, and can be regarded as an innovative assistive technology. The platform is a concrete instance of how cutting-edge ICT technologies can act as assistive technologies to empower e-inclusion. The potential benefits for the final users (subjects with the Down syndrome and/or similar intellectual disabilities) are outlined as well as those for health professionals and care givers in charge of their assistance.","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79451640","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}
Shanu Sushmita, S. Newman, James Marquardt, P. Ram, V. Prasad, M. D. Cock, A. Teredesai
The increasing availability of digital health records should ideally improve accountability in healthcare. In this context, the study of predictive modeling of healthcare costs forms a foundation for accountable care, at both population and individual patient-level care. In this research we use machine learning algorithms for accurate predictions of healthcare costs on publicly available claims and survey data. Specifically, we investigate the use of the regression trees, M5 model trees and random forest, to predict healthcare costs of individual patients given their prior medical (and cost) history. Overall, three observations showcase the utility of our research: (a) prior healthcare cost alone can be a good indicator for future healthcare cost, (b) M5 model tree technique led to very accurate future healthcare cost prediction, and (c) although state-of-the-art machine learning algorithms are also limited by skewed cost distributions in healthcare, for a large fraction (75%) of population, we were able to predict with higher accuracy using these algorithms. In particular, using M5 model trees we were able to accurately predict costs within less than $125 for 75% of the population when compared to prior techniques. Since models for predicting healthcare costs are often used to ascertain overall population health, our work is useful to evaluate future costs for large segments of disease populations with reasonably low error as demonstrated in our results on real-world publicly available datasets.
{"title":"Population Cost Prediction on Public Healthcare Datasets","authors":"Shanu Sushmita, S. Newman, James Marquardt, P. Ram, V. Prasad, M. D. Cock, A. Teredesai","doi":"10.1145/2750511.2750521","DOIUrl":"https://doi.org/10.1145/2750511.2750521","url":null,"abstract":"The increasing availability of digital health records should ideally improve accountability in healthcare. In this context, the study of predictive modeling of healthcare costs forms a foundation for accountable care, at both population and individual patient-level care. In this research we use machine learning algorithms for accurate predictions of healthcare costs on publicly available claims and survey data. Specifically, we investigate the use of the regression trees, M5 model trees and random forest, to predict healthcare costs of individual patients given their prior medical (and cost) history. Overall, three observations showcase the utility of our research: (a) prior healthcare cost alone can be a good indicator for future healthcare cost, (b) M5 model tree technique led to very accurate future healthcare cost prediction, and (c) although state-of-the-art machine learning algorithms are also limited by skewed cost distributions in healthcare, for a large fraction (75%) of population, we were able to predict with higher accuracy using these algorithms. In particular, using M5 model trees we were able to accurately predict costs within less than $125 for 75% of the population when compared to prior techniques. Since models for predicting healthcare costs are often used to ascertain overall population health, our work is useful to evaluate future costs for large segments of disease populations with reasonably low error as demonstrated in our results on real-world publicly available datasets.","PeriodicalId":91246,"journal":{"name":"DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78445807","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}
DH'15: proceedings of the 5th International Conference on Digital Health 2015 : May 18-20, 2015, Florence, Italy. International Conference on Digital Health (5th : 2015 : Florence, Italy)
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