Social Credential-Based Role Recommendation and Patient Privacy Control in Medical Emergency

Soon Ae Chun, Joonhee Kwon, Haesung Lee
{"title":"Social Credential-Based Role Recommendation and Patient Privacy Control in Medical Emergency","authors":"Soon Ae Chun, Joonhee Kwon, Haesung Lee","doi":"10.4018/jcmam.2011100101","DOIUrl":null,"url":null,"abstract":"Emerging Health Information Technologies (HIT), such as Electronic Health Records (EHR) and Personal Health Records (PHR) systems, facilitate access to and sharing of patients’ medical data in a distributed environment. The privacy protection of medical information is a pressing issue with the use of these medical technologies. In this paper, the authors present a Patient-controlled Privacy Protection Framework, which allows a patient to specify his or her own privacy policies on their own medical data no matter where they are stored. In addition, the authors extend this basic framework to medical emergency situations, where roles and users may not be limited to an organizational boundary. To enforce patient’s privacy policies even in emergency situations, the authors propose the Situation Role-based Privacy Control model and a social network-based user credential discovery method to recommend a situation role to candidate users. The authors present a mobile prototype system and two experiments to show the feasibility of our approach. DOI: 10.4018/jcmam.2011100101 2 International Journal of Computational Models and Algorithms in Medicine, 2(4), 1-22, October-December 2011 Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. of patient data for sharing and for decision support analytics across healthcare providers’ organizational boundaries, urging the use of Health Information Exchange (HIE) standards and an interoperable framework. One of the many major challenges to overcome for EHR systems to be widely adopted for sharing of patient information across different EHR systems in the HIE environment is ensuring patient privacy. With the use of EHR systems, doctors, other healthcare providers, insurance companies, governments, as well as patients could easily access patient information that is stored in various locations. The patient’s privacy should be a paramount priority. Typically, a patient leaves medical records in various providers’ EHR systems. A general practitioner can enter initial checkup notes and his recommendations on his own EHR system. Then a specialist can also record some patient information in his own EHR system, and so do pharmacists, X-ray technicians, etc. In this distributed environment, it is difficult to ensure the consistent privacy control for different health information of the patient. Currently, a patient at the initial visit to a doctor’s office fills out a paper-based form regarding the health information privacy on how his or her own heath information may be shared. It is difficult to ensure that privacy is controlled in the manner the patient desires or to ensure that the healthcare providers honor the privacy specifications of the patient about sharing and using his or her own health data. The patient simply relies that the organization’s policy is executed in good faith, but has no control over who can access what and how her own data can be shared and used. In this paper, we first present the patient controlled privacy framework, where a patient can specify and manage her own privacy policies on her own data that are stored in different locations (e.g., doctor’s offices) to maximize the control on the privacy of her own data. In addition, the framework has a privacy policy enforcement component that can control and keep track of the provenance of access, release, sharing and advanced analytics of their medical data such that the patient’s privacy policies are properly adhered to. However, the basic patient controlled privacy framework may fail in case of a health emergency since the patient’s own policy may not list all the possible emergency situations and non-typical roles may be involved such as the first responders or volunteers who are not in the “regular” healthcare network of the patient. In the absence of pre-specified patient controlled privacy policy in an emergency situation, the system should still be able to provide privacy control, instead of revealing all the medical records unconditionally. To achieve this, we present an approach called Situation-Role based Privacy Control Framework, where a medical emergency situation is modeled with a typical sequence of activities that are associated with handling the medical emergency situation, and a set of default roles for each activity in the situation, called situation roles is defined. In this framework, the authentication process involves two levels: First, the system should verify the authenticity of the emergency situation. This process is called authentication of situation. Secondly, it should authenticate a person (user) for each activity in the mitigation process such that the person can assume the default situation role for the activity based on the person’s credentials. This process is called situation role activation. We present the situation-based policy specification for the patient enhancing the basic patient-controlled privacy framework. We introduce situation credentials, and an approach to authenticate a situation, based on situation credentials. We present a way how to discover dynamic credentials for potential medical providers who can participate in an activity for handling the emergency health situation. The potential users (e.g., nearby doctors or nurses) can be dynamically identified using their proximity to the emergency location, time to fetch them, and their public social credentials. The potential candidates are automatically notified with a request or alert to participate in solving a health emergency situation. We provide algorithms, a prototype 20 more pages are available in the full version of this document, which may be purchased using the \"Add to Cart\" button on the product's webpage: www.igi-global.com/article/social-credential-based-rolerecommendation/67528?camid=4v1 This title is available in InfoSci-Journals, InfoSci-Journal Disciplines Medicine, Healthcare, and Life Science. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=2","PeriodicalId":162417,"journal":{"name":"Int. J. Comput. Model. Algorithms Medicine","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Comput. Model. Algorithms Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/jcmam.2011100101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Emerging Health Information Technologies (HIT), such as Electronic Health Records (EHR) and Personal Health Records (PHR) systems, facilitate access to and sharing of patients’ medical data in a distributed environment. The privacy protection of medical information is a pressing issue with the use of these medical technologies. In this paper, the authors present a Patient-controlled Privacy Protection Framework, which allows a patient to specify his or her own privacy policies on their own medical data no matter where they are stored. In addition, the authors extend this basic framework to medical emergency situations, where roles and users may not be limited to an organizational boundary. To enforce patient’s privacy policies even in emergency situations, the authors propose the Situation Role-based Privacy Control model and a social network-based user credential discovery method to recommend a situation role to candidate users. The authors present a mobile prototype system and two experiments to show the feasibility of our approach. DOI: 10.4018/jcmam.2011100101 2 International Journal of Computational Models and Algorithms in Medicine, 2(4), 1-22, October-December 2011 Copyright © 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. of patient data for sharing and for decision support analytics across healthcare providers’ organizational boundaries, urging the use of Health Information Exchange (HIE) standards and an interoperable framework. One of the many major challenges to overcome for EHR systems to be widely adopted for sharing of patient information across different EHR systems in the HIE environment is ensuring patient privacy. With the use of EHR systems, doctors, other healthcare providers, insurance companies, governments, as well as patients could easily access patient information that is stored in various locations. The patient’s privacy should be a paramount priority. Typically, a patient leaves medical records in various providers’ EHR systems. A general practitioner can enter initial checkup notes and his recommendations on his own EHR system. Then a specialist can also record some patient information in his own EHR system, and so do pharmacists, X-ray technicians, etc. In this distributed environment, it is difficult to ensure the consistent privacy control for different health information of the patient. Currently, a patient at the initial visit to a doctor’s office fills out a paper-based form regarding the health information privacy on how his or her own heath information may be shared. It is difficult to ensure that privacy is controlled in the manner the patient desires or to ensure that the healthcare providers honor the privacy specifications of the patient about sharing and using his or her own health data. The patient simply relies that the organization’s policy is executed in good faith, but has no control over who can access what and how her own data can be shared and used. In this paper, we first present the patient controlled privacy framework, where a patient can specify and manage her own privacy policies on her own data that are stored in different locations (e.g., doctor’s offices) to maximize the control on the privacy of her own data. In addition, the framework has a privacy policy enforcement component that can control and keep track of the provenance of access, release, sharing and advanced analytics of their medical data such that the patient’s privacy policies are properly adhered to. However, the basic patient controlled privacy framework may fail in case of a health emergency since the patient’s own policy may not list all the possible emergency situations and non-typical roles may be involved such as the first responders or volunteers who are not in the “regular” healthcare network of the patient. In the absence of pre-specified patient controlled privacy policy in an emergency situation, the system should still be able to provide privacy control, instead of revealing all the medical records unconditionally. To achieve this, we present an approach called Situation-Role based Privacy Control Framework, where a medical emergency situation is modeled with a typical sequence of activities that are associated with handling the medical emergency situation, and a set of default roles for each activity in the situation, called situation roles is defined. In this framework, the authentication process involves two levels: First, the system should verify the authenticity of the emergency situation. This process is called authentication of situation. Secondly, it should authenticate a person (user) for each activity in the mitigation process such that the person can assume the default situation role for the activity based on the person’s credentials. This process is called situation role activation. We present the situation-based policy specification for the patient enhancing the basic patient-controlled privacy framework. We introduce situation credentials, and an approach to authenticate a situation, based on situation credentials. We present a way how to discover dynamic credentials for potential medical providers who can participate in an activity for handling the emergency health situation. The potential users (e.g., nearby doctors or nurses) can be dynamically identified using their proximity to the emergency location, time to fetch them, and their public social credentials. The potential candidates are automatically notified with a request or alert to participate in solving a health emergency situation. We provide algorithms, a prototype 20 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the product's webpage: www.igi-global.com/article/social-credential-based-rolerecommendation/67528?camid=4v1 This title is available in InfoSci-Journals, InfoSci-Journal Disciplines Medicine, Healthcare, and Life Science. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=2
医疗急救中基于社会凭证的角色推荐与患者隐私控制
新兴的健康信息技术(HIT),如电子健康记录(EHR)和个人健康记录(PHR)系统,促进了对分布式环境中患者医疗数据的访问和共享。在这些医疗技术的应用中,医疗信息的隐私保护是一个紧迫的问题。在本文中,作者提出了一个由患者控制的隐私保护框架,该框架允许患者为自己的医疗数据指定自己的隐私策略,无论这些数据存储在何处。此外,作者将这一基本框架扩展到医疗紧急情况,其中角色和用户可能不限于组织边界。为了在紧急情况下实施患者隐私政策,作者提出了基于情境角色的隐私控制模型和基于社交网络的用户凭证发现方法,向候选用户推荐情境角色。作者提出了一个移动原型系统和两个实验来证明我们的方法的可行性。DOI: 10.4018 / jcmam。2011100101 2国际医学计算模型与算法杂志,2(4),1-22,October-December 2011版权所有©2011,IGI Global。未经IGI Global书面许可,禁止以印刷或电子形式复制或分发。用于跨医疗保健提供者的组织边界共享和决策支持分析的患者数据,敦促使用健康信息交换(HIE)标准和可互操作的框架。要在HIE环境中广泛采用EHR系统来在不同的EHR系统之间共享患者信息,需要克服的许多主要挑战之一是确保患者隐私。通过使用EHR系统,医生、其他医疗保健提供者、保险公司、政府以及患者可以轻松访问存储在不同位置的患者信息。病人的隐私应该是最重要的。通常,患者会在不同供应商的电子病历系统中留下医疗记录。全科医生可以在自己的电子病历系统中输入初始检查记录和建议。然后,专科医生也可以在他自己的电子病历系统中记录一些患者信息,药剂师、x光技师等也可以这样做。在这种分布式环境下,很难保证对患者的不同健康信息进行一致的隐私控制。目前,患者在首次访问医生办公室时填写一份关于健康信息隐私的纸质表格,该表格涉及如何共享他或她自己的健康信息。很难确保以患者希望的方式控制隐私,也很难确保医疗保健提供者遵守患者关于共享和使用其自己的健康数据的隐私规范。患者只是依赖于组织的政策是真诚地执行的,但无法控制谁可以访问什么以及如何共享和使用她自己的数据。在本文中,我们首先提出了患者控制的隐私框架,患者可以对存储在不同位置(例如医生办公室)的自己的数据指定和管理自己的隐私策略,以最大限度地控制自己的数据隐私。此外,该框架还具有隐私策略实施组件,可以控制和跟踪其医疗数据的访问、发布、共享和高级分析的来源,从而正确遵守患者的隐私策略。然而,基本的患者控制隐私框架可能在突发卫生事件中失效,因为患者自己的政策可能没有列出所有可能的紧急情况,并且可能涉及非典型角色,例如不在患者"常规"医疗保健网络中的第一响应者或志愿者。在紧急情况下,在没有预先规定的病人控制的隐私政策的情况下,系统应该仍然能够提供隐私控制,而不是无条件地公开所有的病历。为了实现这一点,我们提出了一种称为基于情境-角色的隐私控制框架的方法,其中使用与处理医疗紧急情况相关的典型活动序列对医疗紧急情况进行建模,并为该情况中的每个活动定义了一组默认角色,称为情境角色。在此框架中,认证过程涉及两个层面:首先,系统要对突发情况的真实性进行验证。这个过程称为情景验证。其次,它应该为缓解过程中的每个活动对一个人(用户)进行身份验证,以便该人可以根据该人的凭据承担该活动的默认情境角色。这个过程被称为情境角色激活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信