Jochen Meyer, Susanne CJ Boll, Y. S. Lee, O. Mayora-Ibarra, K. Siek, C. Röcker
In recent years, we have seen an explosion of wellness interventions and technology applications focused on human's wellness with the intention of helping people avoid needing medical care. Given the increasing emergence of wellness applications, there is a need to integrate existing diverse research endeavors and discuss key challenges and opportunities for next generation wellness interventions and applications. We therefore conducted a workshop that brought together researchers and practitioners in the wellness field to develop a shared understanding of existing approaches and findings around the wellness interventions and applications and identify key synergies, opportunities, and challenges for future research that lead to successful wellbeing.
{"title":"Wellness interventions and HCI","authors":"Jochen Meyer, Susanne CJ Boll, Y. S. Lee, O. Mayora-Ibarra, K. Siek, C. Röcker","doi":"10.1145/2384556.2384564","DOIUrl":"https://doi.org/10.1145/2384556.2384564","url":null,"abstract":"In recent years, we have seen an explosion of wellness interventions and technology applications focused on human's wellness with the intention of helping people avoid needing medical care. Given the increasing emergence of wellness applications, there is a need to integrate existing diverse research endeavors and discuss key challenges and opportunities for next generation wellness interventions and applications. We therefore conducted a workshop that brought together researchers and practitioners in the wellness field to develop a shared understanding of existing approaches and findings around the wellness interventions and applications and identify key synergies, opportunities, and challenges for future research that lead to successful wellbeing.","PeriodicalId":309193,"journal":{"name":"ACM SIGHIT Record","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126060840","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}
Rüdiger Breitschwerdt, Philipp Reinke, Markus Kleine Sextro, O. Thomas
A growing number of rescue operations as well as people in need of care cause an increase in ambulant healthcare services. At the same time, the dedicated service providers have to cope with budgets and a decreasing number of qualified personnel. Nevertheless, a high quality of treatment is mandatory. This means a need for improvement enabling the service providers to keep their care processes competitive. Whereas in hospitals, evidence-based guidelines and care pathways have become usual or mandatory, efforts to establish them in ambulant domains are still at an early stage. In contrast to inpatient workflows, standards or best practices have not been established yet. The article analyzes the staffs' intention to use such IT-based support by means of empirical surveys among 444 participants from two fields of application. For this purpose, prospective users would employ applications installed on portable devices -- a potential hardly been considered yet for healthcare service support.
{"title":"Process-oriented application systems for mobile services","authors":"Rüdiger Breitschwerdt, Philipp Reinke, Markus Kleine Sextro, O. Thomas","doi":"10.1145/2384556.2384559","DOIUrl":"https://doi.org/10.1145/2384556.2384559","url":null,"abstract":"A growing number of rescue operations as well as people in need of care cause an increase in ambulant healthcare services. At the same time, the dedicated service providers have to cope with budgets and a decreasing number of qualified personnel. Nevertheless, a high quality of treatment is mandatory. This means a need for improvement enabling the service providers to keep their care processes competitive. Whereas in hospitals, evidence-based guidelines and care pathways have become usual or mandatory, efforts to establish them in ambulant domains are still at an early stage. In contrast to inpatient workflows, standards or best practices have not been established yet. The article analyzes the staffs' intention to use such IT-based support by means of empirical surveys among 444 participants from two fields of application. For this purpose, prospective users would employ applications installed on portable devices -- a potential hardly been considered yet for healthcare service support.","PeriodicalId":309193,"journal":{"name":"ACM SIGHIT Record","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129779593","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}
B. Schatz, C. Marsh, D. Gustafson, K. Patrick, J. Krishnan, Santosh Kumar, N. Contractor
At the core of the healthcare crisis is a fundamental lack of actionable data, needed to stratify individuals within populations, to predict which persons have which outcomes. A new health system with better health management will require better health measurement, to improve cost and quality. It is now possible to use new technologies to provide the rich datasets necessary for adequate health measurement, which enables new information systems for new health systems. This report is a summary of a workshop on Measuring Data for Population Health, sponsored by the NSF SmartHealth program with assistance from the NIH mHealth initiative, held on January 12--13, 2012 in Washington DC. There were 42 attendees, including invited researchers from academia, government and industry, plus program officers from NSF and NIH. The workshop had background talks by leaders in health systems and information systems, followed by breakout discussions on future challenges and opportunities in measuring and managing population health. This report describes the observations on what problems of health systems should be addressed and what solutions of information systems should be developed. The recommendations cover how new information technologies can enable new health systems, with support from future initiatives of federal programs. The workshop and its report identify research challenges that utilize new computing and information technologies to enable better measurement and management for practical healthcare. The measurement technologies focus on deeper monitoring of broader populations. The management technologies focus on utilizing new personal health records to provide personalized treatment guidelines, specialized for each population cohort. This would enable predictive modeling for health systems to support viable healthcare at acceptable cost and quality. A workshop website contains background and discussion notes: https://wiki.engr.illinois.edu/display/hiworkshop/NSF+Workshop+Population+Health
{"title":"Research challenges in measuring data for population health to enable predictive modeling for improving healthcare","authors":"B. Schatz, C. Marsh, D. Gustafson, K. Patrick, J. Krishnan, Santosh Kumar, N. Contractor","doi":"10.1145/2384556.2384561","DOIUrl":"https://doi.org/10.1145/2384556.2384561","url":null,"abstract":"At the core of the healthcare crisis is a fundamental lack of actionable data, needed to stratify individuals within populations, to predict which persons have which outcomes. A new health system with better health management will require better health measurement, to improve cost and quality. It is now possible to use new technologies to provide the rich datasets necessary for adequate health measurement, which enables new information systems for new health systems. This report is a summary of a workshop on Measuring Data for Population Health, sponsored by the NSF SmartHealth program with assistance from the NIH mHealth initiative, held on January 12--13, 2012 in Washington DC. There were 42 attendees, including invited researchers from academia, government and industry, plus program officers from NSF and NIH. The workshop had background talks by leaders in health systems and information systems, followed by breakout discussions on future challenges and opportunities in measuring and managing population health. This report describes the observations on what problems of health systems should be addressed and what solutions of information systems should be developed. The recommendations cover how new information technologies can enable new health systems, with support from future initiatives of federal programs. The workshop and its report identify research challenges that utilize new computing and information technologies to enable better measurement and management for practical healthcare. The measurement technologies focus on deeper monitoring of broader populations. The management technologies focus on utilizing new personal health records to provide personalized treatment guidelines, specialized for each population cohort. This would enable predictive modeling for health systems to support viable healthcare at acceptable cost and quality. A workshop website contains background and discussion notes: https://wiki.engr.illinois.edu/display/hiworkshop/NSF+Workshop+Population+Health","PeriodicalId":309193,"journal":{"name":"ACM SIGHIT Record","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128335272","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}
Michelangelo Ceci, M. Coluccia, Fabio Fumarola, P. Guzzi, F. Mandreoli, R. Martoglia, E. Masciari, Massimo Mecella, W. Penzo
Advances of high throughput technologies have yielded the possibility to investigate human cells of healthy and morbid ones at different levels. Consequently, this has made possible the discovery of new biological and biomedical data and the proliferation of a large number of databases. In this paper, we describe the IS-BioBank (Integrated Semantic Biological Data Bank) proposal. It consists of the realization of a framework for enabling the interoperability among different biological data sources and for ultimately supporting expert users in the complex process of extraction, navigation and visualization of the precious knowledge hidden in such a huge quantity of data. In this framework, a key role has been played by the Connectivity Map, a databank which relates diseases, physiological processes, and the action of drugs. The system will be used in a pilot study on the Multiple Myeloma (MM).
{"title":"The IS-BioBank project","authors":"Michelangelo Ceci, M. Coluccia, Fabio Fumarola, P. Guzzi, F. Mandreoli, R. Martoglia, E. Masciari, Massimo Mecella, W. Penzo","doi":"10.1145/2384556.2384558","DOIUrl":"https://doi.org/10.1145/2384556.2384558","url":null,"abstract":"Advances of high throughput technologies have yielded the possibility to investigate human cells of healthy and morbid ones at different levels. Consequently, this has made possible the discovery of new biological and biomedical data and the proliferation of a large number of databases. In this paper, we describe the IS-BioBank (Integrated Semantic Biological Data Bank) proposal. It consists of the realization of a framework for enabling the interoperability among different biological data sources and for ultimately supporting expert users in the complex process of extraction, navigation and visualization of the precious knowledge hidden in such a huge quantity of data. In this framework, a key role has been played by the Connectivity Map, a databank which relates diseases, physiological processes, and the action of drugs. The system will be used in a pilot study on the Multiple Myeloma (MM).","PeriodicalId":309193,"journal":{"name":"ACM SIGHIT Record","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134311048","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}
This paper discusses the role that information, particularly information collected and used near to the patient, can play in the delivery of healthcare services. We define what we mean by "near the patient" and review many of the ways in which information is currently collected, stored and shared. We identify what technological and other factors have changed that make the collection and use of information near the patient more likely. We go on to present two scenarios and discuss the opportunities and issues that arise from them.
{"title":"Towards the integration of near-patient collection of information for the delivery of healthcare services","authors":"J. Briggs, R. Curry","doi":"10.1145/2384556.2384560","DOIUrl":"https://doi.org/10.1145/2384556.2384560","url":null,"abstract":"This paper discusses the role that information, particularly information collected and used near to the patient, can play in the delivery of healthcare services. We define what we mean by \"near the patient\" and review many of the ways in which information is currently collected, stored and shared. We identify what technological and other factors have changed that make the collection and use of information near the patient more likely. We go on to present two scenarios and discuss the opportunities and issues that arise from them.","PeriodicalId":309193,"journal":{"name":"ACM SIGHIT Record","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126691585","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. Soda, Sameer Kiran Antani, F. Tortorella, M. Cannataro, Mykola Pechenizkiy, A. Tsymbal
The 25th IEEE International Symposium on Computer-Based Medical Systems, held June 20--22, 2012 in Rome, Italy, has been a forum for discussing the latest developments in the field of computational medicine, biomedical informatics, and related disciplines. The Symposium has covered a broad range of issues in several areas with accepted submissions gathered into one general track, addressing general questions of computational biomedicine, and twelve special tracks, each focused on a particular related sub-theme. Three keynote speakers have presented an overview of recent research and developments in their particular subareas of mining clinical data for biomedical research, multivariate and multiscale analysis of biomedical signals, and oncology image analysis.
{"title":"Trends in computer-based medical systems","authors":"P. Soda, Sameer Kiran Antani, F. Tortorella, M. Cannataro, Mykola Pechenizkiy, A. Tsymbal","doi":"10.1145/2384556.2384563","DOIUrl":"https://doi.org/10.1145/2384556.2384563","url":null,"abstract":"The 25th IEEE International Symposium on Computer-Based Medical Systems, held June 20--22, 2012 in Rome, Italy, has been a forum for discussing the latest developments in the field of computational medicine, biomedical informatics, and related disciplines. The Symposium has covered a broad range of issues in several areas with accepted submissions gathered into one general track, addressing general questions of computational biomedicine, and twelve special tracks, each focused on a particular related sub-theme. Three keynote speakers have presented an overview of recent research and developments in their particular subareas of mining clinical data for biomedical research, multivariate and multiscale analysis of biomedical signals, and oncology image analysis.","PeriodicalId":309193,"journal":{"name":"ACM SIGHIT Record","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134154074","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}
Video of in-home activity provides valuable information for assistive monitoring but raises privacy concerns. Raw video can be privacy-enhanced by obscuring the appearance of a person. We consider five privacy enhancements: blur, silhouette, oval, box, and trailing-arrows. We investigate whether a privacy enhancement exists that provides sufficient perceived privacy while enabling accurate fall detection by humans. We recorded 23 1-minute videos involving normal household activities, falling, and lying on the floor after an earlier fall, and created versions of each video for each privacy setting. We conducted an experiment with 376 undergraduate, non-engineering student participants to measure perceived privacy protection and the participant's fall detection accuracy for each privacy setting. Results indicate that the oval provides sufficient perceived privacy for 88% of participants while still supporting fall detection accuracy of 89%, and that the common privacy enhancements blur and silhouette were perceived to provide insufficient privacy.
{"title":"Privacy perception and fall detection accuracy for in-home video assistive monitoring with privacy enhancements","authors":"Alex D. Edgcomb, F. Vahid","doi":"10.1145/2384556.2384557","DOIUrl":"https://doi.org/10.1145/2384556.2384557","url":null,"abstract":"Video of in-home activity provides valuable information for assistive monitoring but raises privacy concerns. Raw video can be privacy-enhanced by obscuring the appearance of a person. We consider five privacy enhancements: blur, silhouette, oval, box, and trailing-arrows. We investigate whether a privacy enhancement exists that provides sufficient perceived privacy while enabling accurate fall detection by humans. We recorded 23 1-minute videos involving normal household activities, falling, and lying on the floor after an earlier fall, and created versions of each video for each privacy setting. We conducted an experiment with 376 undergraduate, non-engineering student participants to measure perceived privacy protection and the participant's fall detection accuracy for each privacy setting. Results indicate that the oval provides sufficient perceived privacy for 88% of participants while still supporting fall detection accuracy of 89%, and that the common privacy enhancements blur and silhouette were perceived to provide insufficient privacy.","PeriodicalId":309193,"journal":{"name":"ACM SIGHIT Record","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133892598","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}
This report summarizes the events and activities of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI 2012), which was held in Miami, Florida, January 28-30, 2012. IHI 2012 is the flagship conference of ACM SIGHIT concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, public health, everyday wellness as well as the related social and ethical issues. There were 321 submissions. 48 and 52 papers were accepted for oral presentations and poster presentations, respectively. There were also 2 keynote speeches, 4 panels, 3 tutorials, 1 extended poster session, and a doctoral consortium. There were over 220 attendees.
{"title":"ACM SIGHIT International Health Informatics Symposium report","authors":"Christopher C. Yang","doi":"10.1145/2384556.2384562","DOIUrl":"https://doi.org/10.1145/2384556.2384562","url":null,"abstract":"This report summarizes the events and activities of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI 2012), which was held in Miami, Florida, January 28-30, 2012. IHI 2012 is the flagship conference of ACM SIGHIT concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, public health, everyday wellness as well as the related social and ethical issues. There were 321 submissions. 48 and 52 papers were accepted for oral presentations and poster presentations, respectively. There were also 2 keynote speeches, 4 panels, 3 tutorials, 1 extended poster session, and a doctoral consortium. There were over 220 attendees.","PeriodicalId":309193,"journal":{"name":"ACM SIGHIT Record","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115177698","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}
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