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开发基于证据的人群健康信息学课程:整合基于能力的模型和工作分析。

Developing Evidence-based Population Health Informatics curriculum: Integrating competency based model and job analysis.

作者信息

Joshi Ashish, Bruce Irene, Amadi Chioma, Amatya Jaya

机构信息

CUNY Graduate School of Public Health and Health Policy, NY.

Adjunct Faculty, CUNY Graduate School of Public Health and Health Policy, NY.

出版信息

Online J Public Health Inform. 2021 Jun 9;13(1):e10. doi: 10.5210/ojphi.v13i1.11517. eCollection 2021.

DOI:10.5210/ojphi.v13i1.11517
PMID:34221245
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8238051/
Abstract

With the rapid pace of technological advancements, public health professions require a core set of informatics skills. The objective of the study is to integrate informatics competencies and job analysis to guide development of an evidence-based curriculum framework and apply it towards creation of a population health informatics program. We conducted content analysis of the Population Health Informatics related job postings in the state of New York between June and July 2019 using the Indeed job board. The search terms included "health informatics" and "population health informatics." The initial search yielded 496 job postings. After removal of duplicates, inactive postings and that did not include details of the positions' responsibilities resulted in 306 jobs. Information recorded from the publicly available job postings included job categories, type of hiring organization, educational degree preferred and required, work experience preferred and required, salary information, job type, job location, associated knowledge, skills and expertise and software skills. Most common job title was that of an analyst (21%, n=65) while more than one-third of the hiring organizations were health systems (35%, n=106). 95% (n=291) of the jobs were fulltime and nearly half of these jobs were in New York City (47%, n=143). Data/statistical analysis (68%, n=207), working in multidisciplinary teams (35%, n=108), and biomedical/clinical experience (30%, n=93) were the common skills needed. Structured query language (SQL), Python, and R language were common programming language skills. A broad framework of integrating informatics competencies, combined with analysis of the skills the jobs needed, and knowledge acquisition based on global health informatics projects guided the development of an online population health informatics curriculum in a rapidly changing technological environment.

摘要

随着技术进步的快速步伐,公共卫生职业需要一套核心的信息学技能。本研究的目的是整合信息学能力和工作分析,以指导基于证据的课程框架的开发,并将其应用于创建人口健康信息学项目。我们使用Indeed招聘平台对2019年6月至7月纽约州与人口健康信息学相关的招聘信息进行了内容分析。搜索词包括“健康信息学”和“人口健康信息学”。初步搜索产生了496条招聘信息。在去除重复信息、无效信息以及未包含职位职责细节的信息后,得到306个职位。从公开招聘信息中记录的信息包括职位类别、招聘组织类型、优先和要求的教育程度、优先和要求的工作经验、薪资信息、工作类型、工作地点、相关知识、技能和专业知识以及软件技能。最常见的职位是分析师(21%,n = 65),而超过三分之一的招聘组织是卫生系统(35%,n = 106)。95%(n = 291)的工作是全职工作,其中近一半的工作位于纽约市(47%,n = 143)。数据/统计分析(68%,n = 207)、在多学科团队中工作(35%,n = 108)以及生物医学/临床经验(30%,n = 93)是常见所需技能。结构化查询语言(SQL)、Python和R语言是常见的编程语言技能。在快速变化的技术环境中,将信息学能力整合的广泛框架,结合所需工作技能分析以及基于全球健康信息学项目的知识获取,指导了在线人口健康信息学课程的开发。

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