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

[Display omitted] •It is critical for EHR-integrated innovations to be systematically evaluated.•Effective evaluation of EHR-integrated innovations requires a shared understanding and collaboration across disciplines throughout the full information technology (IT) life cycle.•A novel Evaluation in L...

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Published inJournal of biomedical informatics Vol. 127; p. 104014
Main Authors Kukhareva, Polina V., Weir, Charlene, Del Fiol, Guilherme, Aarons, Gregory A., Taft, Teresa Y., Schlechter, Chelsey R., Reese, Thomas J., Curran, Rebecca L., Nanjo, Claude, Borbolla, Damian, Staes, Catherine J., Morgan, Keaton L., Kramer, Heidi S., Stipelman, Carole H., Shakib, Julie H., Flynn, Michael C., Kawamoto, Kensaku
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.03.2022
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Abstract [Display omitted] •It is critical for EHR-integrated innovations to be systematically evaluated.•Effective evaluation of EHR-integrated innovations requires a shared understanding and collaboration across disciplines throughout the full information technology (IT) life cycle.•A novel Evaluation in Life Cycle of Information Technology (ELICIT) framework focuses on all phases of the IT life cycle.•The ELICIT framework consists of 12 evaluation steps across the IT life cycle phases including society-, user-, and IT-level measures. Our 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. The 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. The 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. 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. As 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.
AbstractList Our 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. The 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. The 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. 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. As 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.
[Display omitted] •It is critical for EHR-integrated innovations to be systematically evaluated.•Effective evaluation of EHR-integrated innovations requires a shared understanding and collaboration across disciplines throughout the full information technology (IT) life cycle.•A novel Evaluation in Life Cycle of Information Technology (ELICIT) framework focuses on all phases of the IT life cycle.•The ELICIT framework consists of 12 evaluation steps across the IT life cycle phases including society-, user-, and IT-level measures. Our 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. The 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. The 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. 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. As 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.
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. DISCUSSIONEffective 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.
ArticleNumber 104014
Author Del Fiol, Guilherme
Kukhareva, Polina V.
Aarons, Gregory A.
Curran, Rebecca L.
Kawamoto, Kensaku
Schlechter, Chelsey R.
Borbolla, Damian
Reese, Thomas J.
Taft, Teresa Y.
Stipelman, Carole H.
Shakib, Julie H.
Nanjo, Claude
Staes, Catherine J.
Weir, Charlene
Kramer, Heidi S.
Morgan, Keaton L.
Flynn, Michael C.
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  givenname: Guilherme
  surname: Del Fiol
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  givenname: Gregory A.
  surname: Aarons
  fullname: Aarons, Gregory A.
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  givenname: Chelsey R.
  surname: Schlechter
  fullname: Schlechter, Chelsey R.
  email: chelsey.schlechter@hci.utah.edu
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  givenname: Thomas J.
  surname: Reese
  fullname: Reese, Thomas J.
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  organization: Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
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  givenname: Rebecca L.
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  givenname: Claude
  surname: Nanjo
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  email: claude.nanjo@utah.edu
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– sequence: 10
  givenname: Damian
  surname: Borbolla
  fullname: Borbolla, Damian
  email: damian.borbolla@utah.edu
  organization: Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
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  givenname: Catherine J.
  surname: Staes
  fullname: Staes, Catherine J.
  email: catherine.staes@hsc.utah.edu
  organization: College of Nursing, University of Utah, Salt Lake City, UT, USA
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  givenname: Keaton L.
  surname: Morgan
  fullname: Morgan, Keaton L.
  email: keaton.morgan@utah.edu
  organization: Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
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  givenname: Heidi S.
  surname: Kramer
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  givenname: Julie H.
  surname: Shakib
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  email: julie.shakib@hsc.utah.edu
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  givenname: Michael C.
  surname: Flynn
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  email: michael.flynn@hsc.utah.edu
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  givenname: Kensaku
  surname: Kawamoto
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Keywords Evaluation framework
Human factors engineering
Health technology assessment
Clinical decision support
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Health information technology
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AUTHOR CONTRIBUTIONS
Polina V. Kukhareva: Conceptualization, Methodology, Formal analysis, Investigation, Data Curation, Writing - Original Draft, Writing - Review & Editing, Visualization, Project administration. Charlene Weir: Methodology, Formal analysis, Investigation, Writing - Review & Editing, Supervision. Guilherme Del Fiol: Methodology, Formal analysis, Investigation, Writing - Review & Editing, Supervision. Gregory A. Aarons: Writing - Review & Editing. Teresa Y. Taft: Formal analysis, Writing - Review & Editing. Chelsey R. Schlechter: Formal analysis, Writing - Review & Editing. Thomas J. Reese: Writing - Review & Editing. Rebecca L. Curran: Writing - Review & Editing. Claude Nanjo: Formal analysis, Writing - Review & Editing. Damian Borbolla: Writing - Review & Editing. Catherine J Staes: Writing - Review & Editing. Keaton L. Morgan, MD, MS: Writing - Review & Editing. Heidi S. Kramer: Writing - Review & Editing. Carole H. Stipelman: Formal analysis, Writing - Review & Editing. Julie H. Shakib: Formal analysis, Writing - Review & Editing. Michael C. Flynn: Writing - Review & Editing. Kensaku Kawamoto: Methodology, Formal analysis, Investigation, Supervision, Funding acquisition.
OpenAccessLink https://www.sciencedirect.com/science/article/pii/S1532046422000302
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Snippet [Display omitted] •It is critical for EHR-integrated innovations to be systematically evaluated.•Effective evaluation of EHR-integrated innovations requires a...
Our objective was to develop an evaluation framework for electronic health record (EHR)-integrated innovations to support evaluation activities at each of four...
OBJECTIVEOur objective was to develop an evaluation framework for electronic health record (EHR)-integrated innovations to support evaluation activities at...
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SubjectTerms Clinical decision support
Commerce
Electronic Health Records
Evaluation framework
Health information technology
Health technology assessment
Human factors engineering
Humans
Implementation science
Information Technology
Medical Informatics
Technology
Title Evaluation in Life Cycle of Information Technology (ELICIT) framework: Supporting the innovation life cycle from business case assessment to summative evaluation
URI https://dx.doi.org/10.1016/j.jbi.2022.104014
https://www.ncbi.nlm.nih.gov/pubmed/35167977
https://search.proquest.com/docview/2629386409
https://pubmed.ncbi.nlm.nih.gov/PMC8959015
Volume 127
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