The Indiana Training Program in Public & Population Health Informatics

印第安纳州公共培训计划

基本信息

项目摘要

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.
项目概要/摘要 健康和医疗保健的主要趋势在培训公众和人口方面进行了大量投资 健康信息学(PHI)研究人员尤其引人注目。这些趋势包括 (1) 认识到社会、环境和行为因素作为人类决定因素的重要性 健康; (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; (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的能力,以帮助实现这一目标 过渡到强调预防和健康而不是干预的模式。因此我们 提出 PHI 多学科培训计划。通过获得无与伦比的人口水平 数据、人口健康教育和信息学方法以及广泛的工作经验 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、实施和评估临床和临床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 名学员(6 名 第5年,学员总数达到17名(博士前9名,博士后6名)(博士前9名,博士后8名)。 博士前培训生将完成流行病学或卫生政策与博士学位 管理,专注于 PHI。博士后学员将完成他们的 MPH PHI 浓度。此外,专家教师将积极指导学员进行实践研究 健康信息交换 (HIE)、根据 HIE 数据检测法定疾病等领域 流、快速识别和通知新出现的健康威胁(症状监测)、HIE- 基于计算机的决策支持可改善初级保健,信息学方法可帮助 改善慢性疼痛护理并防止处方药滥用。研究经验将包括 涉及多个卫生系统的健康数据的回顾性观察研究,以及 涉及当地卫生系统合作伙伴的前瞻性经验。学员还将完成一系列广泛的工作 研讨会和研讨会,使他们具备 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 研究和教育合作的遗产,我们将成功培养一支研究人员队伍 能够领导下一代 PHI 系统的设计、开发和评估。集体 我们的教职员工和实习生将致力于可转化为公共卫生机构和 医疗保健提供系统,以改变医疗服务的提供和结果。

项目成果

期刊论文数量(0)
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Brian E. Dixon其他文献

Convergent evolution of health information management and health informatics
健康信息管理和健康信息学的融合演化
  • DOI:
    10.4338/aci-2014-09-ra-0077
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    C. Gibson;Brian E. Dixon;K. Abrams
  • 通讯作者:
    K. Abrams
Use of the Direct Standard for Patient Event Notifications: A Qualitative Study Among Industry Leaders
患者事件通知直接标准的使用:行业领导者的定性研究
  • DOI:
    10.1055/s-0043-1776326
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Allison K. Thurman;Brian E. Dixon;David C. Kibbe;Eric Pan;Sue S. Feldman
  • 通讯作者:
    Sue S. Feldman
Fostering Governance and Information Partnerships for Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance.
促进慢性病监测的治理和信息伙伴关系:基于 EHR 的多州疾病监测网络。
  • DOI:
    10.1097/phh.0000000000001810
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    E. M. Kraus;Lina Saintus;Amanda K Martinez;Bill Brand;Elin Begley;Robert K Merritt;Andrew Hamilton;Rick Rubin;Amy Sullivan;B. Karras;S. Grannis;Ian M. Brooks;Joyce Y. Mui;Thomas W Carton;K. Hohman;M. Klompas;Brian E. Dixon
  • 通讯作者:
    Brian E. Dixon

Brian E. Dixon的其他文献

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{{ truncateString('Brian E. Dixon', 18)}}的其他基金

Leveraging Electronic Health Data to Assess the Burden of Diabetes among Young Adults
利用电子健康数据评估年轻人的糖尿病负担
  • 批准号:
    10085512
  • 财政年份:
    2020
  • 资助金额:
    $ 51.87万
  • 项目类别:
Leveraging Electronic Health Data to Assess the Burden of Diabetes among Young Adults
利用电子健康数据评估年轻人的糖尿病负担
  • 批准号:
    10221453
  • 财政年份:
    2020
  • 资助金额:
    $ 51.87万
  • 项目类别:
Leveraging Electronic Health Data to Assess the Burden of Diabetes among Young Adults
利用电子健康数据评估年轻人的糖尿病负担
  • 批准号:
    10636655
  • 财政年份:
    2020
  • 资助金额:
    $ 51.87万
  • 项目类别:
Leveraging Electronic Health Data to Assess the Burden of Diabetes among Young Adults
利用电子健康数据评估年轻人的糖尿病负担
  • 批准号:
    10413371
  • 财政年份:
    2020
  • 资助金额:
    $ 51.87万
  • 项目类别:
The Indiana Training Program in Public & Population Health Informatics
印第安纳州公共培训计划
  • 批准号:
    10405690
  • 财政年份:
    2017
  • 资助金额:
    $ 51.87万
  • 项目类别:
The Indiana Training Program in Public & Population Health Informatics
印第安纳州公共培训计划
  • 批准号:
    10205170
  • 财政年份:
    2017
  • 资助金额:
    $ 51.87万
  • 项目类别:
Exploring the Utilization of and Outcomes from Health Information Exchange in Emergency Settings
探索紧急情况下健康信息交换的利用和成果
  • 批准号:
    9375534
  • 财政年份:
    2017
  • 资助金额:
    $ 51.87万
  • 项目类别:
The Indiana Training Program in Public & Population Health Informatics
印第安纳州公共培训计划
  • 批准号:
    10618407
  • 财政年份:
    2017
  • 资助金额:
    $ 51.87万
  • 项目类别:
Advancing Methods to Measure and Improve the Quality of Large Scale Health Data
改进测量和提高大规模健康数据质量的方法
  • 批准号:
    8952547
  • 财政年份:
    2015
  • 资助金额:
    $ 51.87万
  • 项目类别:
Improving Population Health Through Enhanced Targeted Regional Decision Support
通过加强有针对性的区域决策支持改善人口健康
  • 批准号:
    8533932
  • 财政年份:
    2011
  • 资助金额:
    $ 51.87万
  • 项目类别:

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