TC: Large: Trustworthy Information Systems for Healthcare (TISH)

TC：大型：值得信赖的医疗保健信息系统 (TISH)

• 批准号: 0910842
• 负责人: David Kotz
• 金额: $ 300万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-15 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0910842&HistoricalAwards=false
• 关键词: TC; Large; Trustworthy; Information; Systems

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Technology infrastructure in the healthcare realm requires secure and effective systems to meet two of its most significant challenges of the 21st century: improving the quality of care and controlling costs. Yet developing, deploying and using information technology that is both secure and genuinely effective in the complex clinical, organizational and economic environment of healthcare is a significant challenge. This project's multidisciplinary approach will develop and analyze information-sharing technology that ensures security and privacy while meeting the pragmatic needs of patients, clinical staff, and healthcare organizations to deliver efficient, high-quality care. Dartmouth's Trustworthy Information Systems for Healthcare (TISH) Program addresses fundamental challenges in current and emerging areas of information security in healthcare: protecting the security of clinical information, while ensuring that clinicians can access information they need, when and where they need it, and securing the collection of sensor data through personal sensor devices (including both physiological and activity data) to enable monitoring of patient outcomes while giving patients usable control over their privacy.To be effective, such technologies must consider the economic, organizational and sociological dynamics that are critical to creating and implementing IT that is secure as well as usable and effective. Thus, the researchers will consider: usability, and its implications for secure information sharing throughout the organizational environment of medical care; privacy concerns, examining how key stakeholders (patients, clinicians, and other providers) understand and evaluate the trade-offs between information sharing, usability, security, and privacy: economic risks, identifying the economically motivated threats to security and privacy in healthcare information systems and the incentives for adopting security technology; and security challenges related to collection, processing, and medical use of data from sensors worn by outpatientsThis research will result scientific advances in several fields. The team will develop new secure and efficient protocols that allow remote health monitoring through a mobile phone and wearable wireless medical sensors; design new machine-learning methods, especially active-learning and relational-learning techniques for analyzing and summarizing sensor data in a user-friendly manner; seek a deeper understanding of the economics of information security in healthcare; and explore how patients and clinicians trade off usability, security, and privacy. TISH, a collaborative project of the Institute for Security, Technology, and Society at Dartmouth College, involves a team from Computer Science, Sociology, the Dartmouth Medical School, and the Tuck School of Business. Its researchers include computer scientists with expertise in computer security and sensor networks, sociologists with expertise in healthcare organizations and health policy, a clinician with medical informatics expertise, and a business professor with expertise in the economics of information security. The TISH team will work in collaboration with local hospitals and health systems in the Upper Valley region of Vermont and New Hampshire.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。医疗保健领域的技术基础设施需要安全有效的系统来应对21世纪最重大的两个挑战：提高护理质量和控制成本。然而，在复杂的医疗保健临床、组织和经济环境中开发、部署和使用既安全又真正有效的信息技术是一项重大挑战。该项目的多学科方法将开发和分析信息共享技术，以确保安全性和隐私性，同时满足患者，临床工作人员和医疗机构的实际需求，以提供高效，高质量的护理。达特茅斯的医疗保健可信信息系统（TISH）计划解决了医疗保健信息安全当前和新兴领域的根本挑战：保护临床信息的安全性，同时确保临床医生可以随时随地访问他们需要的信息，以及通过个人传感器设备保护传感器数据的收集（包括生理和活动数据），以实现对患者结果的监测，同时给予患者对其隐私的可用控制。为了有效，这种技术必须考虑经济，组织和社会动态，这对创建和实施安全、可用和有效的IT至关重要。因此，研究人员将考虑：可用性，及其对整个医疗保健组织环境中安全信息共享的影响;隐私问题，研究关键利益相关者如何（患者、临床医生和其他提供者）了解并评估信息共享、可用性、安全性和隐私之间的权衡：经济风险，识别医疗信息系统中对安全和隐私的经济动机威胁以及采用安全技术的动机;与收集、处理和医疗使用来自门诊病人佩戴的传感器的数据有关的安全挑战这项研究将在几个领域取得科学进展。该团队将开发新的安全有效的协议，允许通过移动的手机和可穿戴无线医疗传感器进行远程健康监测;设计新的机器学习方法，特别是主动学习和关系学习技术，以用户友好的方式分析和总结传感器数据;寻求对医疗保健信息安全经济学的更深入理解;并探索患者和临床医生如何权衡可用性、安全性和隐私性。TISH是达特茅斯学院安全、技术和社会研究所的一个合作项目，涉及计算机科学、社会学、达特茅斯医学院和塔克商学院的一个团队。它的研究人员包括计算机科学家与计算机安全和传感器网络的专业知识，在医疗保健组织和卫生政策的专业知识，临床医生与医疗信息学专业知识，并在信息安全经济学专业知识的商业教授。 TISH团队将与佛蒙特州和新罕布什尔州上谷地区的当地医院和卫生系统合作。