Evidence map›Paper›PMID 35167977›Full record

ReviewJournal of biomedical informatics2022

Evaluation in Life Cycle of Information Technology (ELICIT) framework: Supporting the innovation life cycle from business case assessment to summative evaluation.

Polina V Kukhareva, Charlene Weir, Guilherme Del Fiol, Gregory A Aarons, Teresa Y Taft, Chelsey R Schlechter, Thomas J Reese, Rebecca L Curran, Claude Nanjo, Damian Borbolla and 7 more

Abstract readReview
In one paragraph

Review in Journal of biomedical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Digital health equity frameworks and key concepts: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Polina V KukharevaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: polina.kukhareva@utah.edu.
Charlene WeirDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: charlene.weir@utah.edu.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: guilherme.delfiol@utah.edu.
Gregory A AaronsDepartment of Psychiatry, UC San Diego ACTRI Dissemination and Implementation Science Center, UC San Diego, La Jolla, CA, USA; Dissemination and Implementation Science Center, Altman Clinical and Translational Research Institute, UC San Diego, La Jolla, CA, USA. Electronic address: gaarons@health.ucsd.edu.
Teresa Y TaftDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: teresa.taft@utah.edu.
Chelsey R SchlechterDepartment of Population Health Sciences, Center for Health Outcomes and Population Equity, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA; Center for Health Outcomes and Population Equity, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA. Electronic address: chelsey.schlechter@hci.utah.edu.
Thomas J ReeseDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA. Electronic address: thomas.reese@vumc.org.
Rebecca L CurranDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: rebecca.curran@hsc.utah.edu.
Claude NanjoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: claude.nanjo@utah.edu.
Damian BorbollaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: damian.borbolla@utah.edu.
Catherine J StaesCollege of Nursing, University of Utah, Salt Lake City, UT, USA. Electronic address: catherine.staes@hsc.utah.edu.
Keaton L MorganDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: keaton.morgan@utah.edu.
Heidi S KramerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: heidi.kramer@hsc.utah.edu.
Carole H StipelmanDepartment of Pediatrics, University of Utah, Salt Lake City, UT, USA. Electronic address: carole.stipelman@hsc.utah.edu.
Julie H ShakibDepartment of Pediatrics, University of Utah, Salt Lake City, UT, USA. Electronic address: julie.shakib@hsc.utah.edu.
Michael C FlynnDepartment of Pediatrics, University of Utah, Salt Lake City, UT, USA; Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA; Community Physicians Group, University of Utah Health, Salt Lake City, UT, USA. Electronic address: michael.flynn@hsc.utah.edu.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA. Electronic address: kensaku.kawamoto@utah.edu.

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
Scalable decision support and shared decision making for lung cancer screeningR18HS026198 · AHRQ · UNIVERSITY OF UTAH · PI KAWAMOTO, KENSAKU · 2019 to 2021
$1.2M
AHRQ HHS R18 HS026198NLM NIH HHS T15 LM007124
6 · The paper itself

Abstract

objectiveOur objective was to develop an evaluation framework for electronic health record (EHR)-integrated innovations to support evaluation activities at each of four information technology (IT) life cycle phases: planning, development, implementation, and operation.

methodsThe evaluation framework was developed based on a review of existing evaluation frameworks from health informatics and other domains (human factors engineering, software engineering, and social sciences); expert consensus; and real-world testing in multiple EHR-integrated innovation studies.

resultsThe resulting Evaluation in Life Cycle of IT (ELICIT) framework covers four IT life cycle phases and three measure levels (society, user, and IT). The ELICIT framework recommends 12 evaluation steps: (1) business case assessment; (2) stakeholder requirements gathering; (3) technical requirements gathering; (4) technical acceptability assessment; (5) user acceptability assessment; (6) social acceptability assessment; (7) social implementation assessment; (8) initial user satisfaction assessment; (9) technical implementation assessment; (10) technical portability assessment; (11) long-term user satisfaction assessment; and (12) social outcomes assessment. DISCUSSION: Effective evaluation requires a shared understanding and collaboration across disciplines throughout the entire IT life cycle. In contrast with previous evaluation frameworks, the ELICIT framework focuses on all phases of the IT life cycle across the society, user, and IT levels. Institutions seeking to establish evaluation programs for EHR-integrated innovations could use our framework to create such shared understanding and justify the need to invest in evaluation.

conclusionAs health care undergoes a digital transformation, it will be critical for EHR-integrated innovations to be systematically evaluated. The ELICIT framework can facilitate these evaluations.

Indexed as

Information TechnologyMedical InformaticsCommerceElectronic Health RecordsHumansTechnologyClinical decision supportEvaluation frameworkHealth information technologyHealth technology assessmentHuman factors engineeringImplementation science

Identifiers

PMID35167977
PMCPMC8959015

What OpenQuestion holds

Textmetadata
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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.