Evidence map›Paper›PMID 36042919›Full record

ArticleJAMIA open2022

Innovation of health data science curricula.

Miriam Isola, Jacob Krive

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMIA open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 58% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Miriam IsolaDepartment of Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-5687-6472
Jacob KriveDepartment of Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-1259-717X
University of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: There is a growing need for innovation to prepare a well-trained health informatics workforce with data science and digital technology skills. To meet the workforce demands and prepare students for a career in health informatics, a Health Data Science (HDS) concentration was added to the Master's in Health Informatics (MSHI) program at the University of Illinois at Chicago. Methods: Four levels of learning were incorporated into the curriculum to prepare students for highly complex jobs in health informatics. Leader interviews, advisory board meetings, and mixed faculty expertise were utilized as inputs to survey and analyze the skills employers seek in the job market. An innovative rapid infusion approach was used to design assessments across the levels of learning that simulate real-world scenarios where these competencies are used. Results: Course evaluation surveys revealed strong satisfaction with the quality of the course and agreed that the course was intellectually challenging and stimulating. Students reported the 3 most beneficial aspects were: the live lectures, hands-on data research and manipulation, and simulated real-world situations. Conclusions: This article discusses using a rapid infusion approach to developing active learning assignments designed to build competencies employers are seeking. These competencies also develop creative, divergent thinking with flexible, student-defined solutions. Survey data validates the approach to active learning put into context and made relevant to the learner. The benefit of the concentration is to provide students with the preparation for a successful entry into the Health Informatics field, one of the fastest-growing careers in healthcare.

Indexed as

active learningcurriculumdata scienceHealth Informaticsworkforce

Identifiers

PMID36042919
PMCPMC9420044
OpenAlexW4293359950

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.