The Indiana Training Program in Public & Population Health Informatics

印第安纳州公共培训计划

• 批准号: 10205170
• 负责人: Brian E. Dixon
• 金额: $ 37.8万
• 依托单位: INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10205170
• 关键词: Area; Behavioral; Body mass index; Caring; Clinical; Collaborations; Community Health; Computers; Data; Data Analytics; Detection; Development; Disease; Doctor' s Degree; Education; Educational workshop; Epidemiology; Evaluation; Faculty; Health; Health Policy; Health system; Healthcare; Healthcare Systems; Human; Indiana; Informatics; Information Systems; Intervention; Investments; Knowledge; Mentors; Methods; Modeling; Notification; Observational Study; Outcome; Population; Prevention; Primary Health Care; Public Health; Public Health Education; Public Health Informatics; Research; Research Ethics; Research Personnel; Research Project Grants; Science; Scientist; System; Training; Training Programs; Translating; Work; base; care delivery; chronic pain; data exchange; data streams; design; experience; hands on research; health care delivery; health data; health management; improved; innovation; multidisciplinary; next generation; population health; pre-doctoral; prescription drug abuse; prevent; programs; prospective; research and development; responsible research conduct; skills; social; syndromic surveillance; trend

Project Summary / Abstract Major trends in health and healthcare make a significant investment in training public and population health informatics (PHI) researchers particularly compelling. These trends include (1) the increasing realization of the importance of social, environmental, and behavioral factors as determinants of human health; (2) the requirement to train experts who can support local, state, and federal health agencies with informatics research and development; and (3) the urgent need to help the healthcare system develop capacity in community and population health management, as well as data analytics, to help it transition to a model emphasizing prevention and wellness rather than intervention. Therefore we propose a multi-disciplinary training program in PHI. Through access to unparalleled population-level data, education in population health and informatics methods, and experiences working on a broad range of innovative PHI research projects, we will help trainees become independent scientists capable of designing, developing, implementing and evaluating advanced information systems in clinical and public health settings. Our program will incrementally grow from an initial set of 12 trainees (6 predoctoral, 6 postdoctoral) to 17 total trainees (9 predoctoral, 8 postdoctoral) in the fifth year. Predoctoral trainees will complete a doctoral degree in either Epidemiology or Health Policy & Management, with a concentration in PHI. Postdoctoral trainees will complete their MPH with a concentration in PHI. Furthermore, expert faculty will actively mentor trainees in hands-on research in areas such as health information exchange (HIE), detection of notifiable diseases from HIE data streams, rapid identification and notification of emerging health threats (syndromic surveillance), HIE- based computer-based decision support to improve primary care, and informatics methods to help improve chronic pain care and prevent prescription drug abuse. Research experiences will include both retrospective, observational studies involving health data from multiple health systems, as well as prospective experiences involving a local health system partner. Trainees will also complete a broad set of workshops and seminars that will equip them with knowledge and skills essential to BMI research, such as the responsible conduct of research, team science, and research ethics. Building upon a strong legacy of research and educational collaborations, we will successfully train a cadre of researchers capable of leading the design, development and evaluation of next generation PHI systems. Collectively our faculty and trainees will work on research that can be translated to public health agencies and health care delivery systems to transform care delivery as well as outcomes.

项目摘要/摘要 健康和医疗保健的主要趋势在培训公众和人口方面投入了大量资金 健康信息学(PHI)的研究人员尤其令人信服。这些趋势包括(1)不断增加的 认识到社会、环境和行为因素作为人类决定因素的重要性 卫生；(2)培训能够支持地方、州和联邦卫生机构的专家的要求 信息学研究和开发；以及(3)迫切需要帮助医疗保健系统 发展社区和人口健康管理以及数据分析方面的能力，以帮助实现这一目标 向强调预防和健康而不是干预的模式过渡。因此我们 提出PHI的多学科培训计划。通过访问无与伦比的人口级别 数据，人口健康和信息学方法方面的教育，以及在广泛的 一系列创新的PHI研究项目，我们将帮助学员成为有能力的独立科学家 设计、开发、实施和评估临床和医疗领域的先进信息系统 公共卫生设置。我们的计划将从最初的12名实习生逐步增长(6 博士后6名，博士后6名)至第五年17名学员(博士后9名，博士后8名)。 博士前实习生将完成流行病学或卫生政策方面的博士学位 管理，集中在PHI。博士后实习生将完成他们的MPH PHI中的浓度。此外，专家教员将积极指导实习生在实践中的研究 卫生信息交换(HIE)、从HIE数据中检测应报告疾病等领域 新出现的健康威胁的快速识别和通知(综合症监测)，HIE- 基于计算机的决策支持，以改善初级保健，并通过信息学方法提供帮助 改善慢性疼痛护理，防止处方药滥用。研究经验将包括这两方面 涉及来自多个卫生系统的卫生数据的回顾性观察性研究，以及 涉及当地卫生系统合作伙伴的预期经验。学员还将完成一套广泛的课程 研讨会和研讨会将使他们掌握BMI研究所必需的知识和技能， 例如负责任的研究行为、团队科学和研究道德。建立在强大的 在科研和教育合作的遗产，我们将成功地培养一支科研干部 能够领导下一代PHI系统的设计、开发和评估。集体地 我们的教职员工和实习生将致力于可以翻译给公共卫生机构和 卫生保健提供系统，以改变保健提供和结果。