Selecting EHR-driven recruitment strategies: An evidence-based decision guide Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1017/cts.2022.439
Participant recruitment for research is a persistent bottleneck that can be improved by leveraging electronic health records (EHRs). Despite emerging evidence for various EHR-driven approaches, guidance for those attempting to select and use such approaches is limited. The national Recruitment Innovation Center established the EHR Recruitment Consult Resource (ERCR) service line to support multisite studies through implementation of EHR-driven recruitment strategies. As the ERCR, we evolved a guide through 17 consultations over 3 years with multisite studies recruiting in diverse biomedical research domains. We assessed literature and engaged domain experts to identify five key EHR-driven recruitment strategies: direct to patient messages, candidate lists for mailings/calls, direct to research alerts, point of care alerts, and participant registries. Differentiating factors were grouped into factors of study population, study protocol and recruitment workflows, and recruitment site capabilities. The decision matrix indicates acceptable or preferred strategies based on the differentiating factors. Across the ERCR consultations, candidate lists for mailing or calls were most common, participant registries were least frequently recommended, and for some studies no EHR-driven recruitment was recommended. Comparative effectiveness research is needed to refine further evidence for these and potentially new strategies to come.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1017/cts.2022.439
- https://www.cambridge.org/core/services/aop-cambridge-core/content/view/180201BDCECDD31AA637944D4AB04D90/S2059866122004393a.pdf/div-class-title-selecting-ehr-driven-recruitment-strategies-an-evidence-based-decision-guide-div.pdf
- OA Status
- gold
- Cited By
- 7
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4290632428
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4290632428Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1017/cts.2022.439Digital Object Identifier
- Title
-
Selecting EHR-driven recruitment strategies: An evidence-based decision guideWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Randall W. Grout, Dan R Hood, Sarah J. Nelson, Paul A. Harris, Peter J. EmbíList of authors in order
- Landing page
-
https://doi.org/10.1017/cts.2022.439Publisher landing page
- PDF URL
-
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/180201BDCECDD31AA637944D4AB04D90/S2059866122004393a.pdf/div-class-title-selecting-ehr-driven-recruitment-strategies-an-evidence-based-decision-guide-div.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/180201BDCECDD31AA637944D4AB04D90/S2059866122004393a.pdf/div-class-title-selecting-ehr-driven-recruitment-strategies-an-evidence-based-decision-guide-div.pdfDirect OA link when available
- Concepts
-
Workflow, Bottleneck, Resource (disambiguation), Health care, Medicine, Knowledge management, Patient recruitment, Protocol (science), Service (business), Computer science, Business, Alternative medicine, Embedded system, Marketing, Economics, Pathology, Economic growth, Computer network, DatabaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1, 2023: 4Per-year citation counts (last 5 years)
- References (count)
-
32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4290632428 |
|---|---|
| doi | https://doi.org/10.1017/cts.2022.439 |
| ids.doi | https://doi.org/10.1017/cts.2022.439 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/36285016 |
| ids.openalex | https://openalex.org/W4290632428 |
| fwci | 2.00498682 |
| type | article |
| title | Selecting EHR-driven recruitment strategies: An evidence-based decision guide |
| biblio.issue | 1 |
| biblio.volume | 6 |
| biblio.last_page | e108 |
| biblio.first_page | e108 |
| topics[0].id | https://openalex.org/T10582 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9994000196456909 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2739 |
| topics[0].subfield.display_name | Public Health, Environmental and Occupational Health |
| topics[0].display_name | Ethics in Clinical Research |
| topics[1].id | https://openalex.org/T10350 |
| topics[1].field.id | https://openalex.org/fields/36 |
| topics[1].field.display_name | Health Professions |
| topics[1].score | 0.9959999918937683 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3605 |
| topics[1].subfield.display_name | Health Information Management |
| topics[1].display_name | Electronic Health Records Systems |
| topics[2].id | https://openalex.org/T11719 |
| topics[2].field.id | https://openalex.org/fields/18 |
| topics[2].field.display_name | Decision Sciences |
| topics[2].score | 0.9871000051498413 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1803 |
| topics[2].subfield.display_name | Management Science and Operations Research |
| topics[2].display_name | Data Quality and Management |
| is_xpac | False |
| apc_list.value | 1750 |
| apc_list.currency | USD |
| apc_list.value_usd | 1750 |
| apc_paid.value | 1750 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1750 |
| concepts[0].id | https://openalex.org/C177212765 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6313066482543945 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q627335 |
| concepts[0].display_name | Workflow |
| concepts[1].id | https://openalex.org/C2780513914 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5349370837211609 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q18210350 |
| concepts[1].display_name | Bottleneck |
| concepts[2].id | https://openalex.org/C206345919 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5074428915977478 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q20380951 |
| concepts[2].display_name | Resource (disambiguation) |
| concepts[3].id | https://openalex.org/C160735492 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4439796805381775 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q31207 |
| concepts[3].display_name | Health care |
| concepts[4].id | https://openalex.org/C71924100 |
| concepts[4].level | 0 |
| concepts[4].score | 0.43061119318008423 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[4].display_name | Medicine |
| concepts[5].id | https://openalex.org/C56739046 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4244842231273651 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q192060 |
| concepts[5].display_name | Knowledge management |
| concepts[6].id | https://openalex.org/C2779174308 |
| concepts[6].level | 3 |
| concepts[6].score | 0.42191070318222046 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q17092352 |
| concepts[6].display_name | Patient recruitment |
| concepts[7].id | https://openalex.org/C2780385302 |
| concepts[7].level | 3 |
| concepts[7].score | 0.41595378518104553 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q367158 |
| concepts[7].display_name | Protocol (science) |
| concepts[8].id | https://openalex.org/C2780378061 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4149622917175293 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q25351891 |
| concepts[8].display_name | Service (business) |
| concepts[9].id | https://openalex.org/C41008148 |
| concepts[9].level | 0 |
| concepts[9].score | 0.26988449692726135 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[9].display_name | Computer science |
| concepts[10].id | https://openalex.org/C144133560 |
| concepts[10].level | 0 |
| concepts[10].score | 0.17765185236930847 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[10].display_name | Business |
| concepts[11].id | https://openalex.org/C204787440 |
| concepts[11].level | 2 |
| concepts[11].score | 0.11760133504867554 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q188504 |
| concepts[11].display_name | Alternative medicine |
| concepts[12].id | https://openalex.org/C149635348 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q193040 |
| concepts[12].display_name | Embedded system |
| concepts[13].id | https://openalex.org/C162853370 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q39809 |
| concepts[13].display_name | Marketing |
| concepts[14].id | https://openalex.org/C162324750 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[14].display_name | Economics |
| concepts[15].id | https://openalex.org/C142724271 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[15].display_name | Pathology |
| concepts[16].id | https://openalex.org/C50522688 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q189833 |
| concepts[16].display_name | Economic growth |
| concepts[17].id | https://openalex.org/C31258907 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[17].display_name | Computer network |
| concepts[18].id | https://openalex.org/C77088390 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q8513 |
| concepts[18].display_name | Database |
| keywords[0].id | https://openalex.org/keywords/workflow |
| keywords[0].score | 0.6313066482543945 |
| keywords[0].display_name | Workflow |
| keywords[1].id | https://openalex.org/keywords/bottleneck |
| keywords[1].score | 0.5349370837211609 |
| keywords[1].display_name | Bottleneck |
| keywords[2].id | https://openalex.org/keywords/resource |
| keywords[2].score | 0.5074428915977478 |
| keywords[2].display_name | Resource (disambiguation) |
| keywords[3].id | https://openalex.org/keywords/health-care |
| keywords[3].score | 0.4439796805381775 |
| keywords[3].display_name | Health care |
| keywords[4].id | https://openalex.org/keywords/medicine |
| keywords[4].score | 0.43061119318008423 |
| keywords[4].display_name | Medicine |
| keywords[5].id | https://openalex.org/keywords/knowledge-management |
| keywords[5].score | 0.4244842231273651 |
| keywords[5].display_name | Knowledge management |
| keywords[6].id | https://openalex.org/keywords/patient-recruitment |
| keywords[6].score | 0.42191070318222046 |
| keywords[6].display_name | Patient recruitment |
| keywords[7].id | https://openalex.org/keywords/protocol |
| keywords[7].score | 0.41595378518104553 |
| keywords[7].display_name | Protocol (science) |
| keywords[8].id | https://openalex.org/keywords/service |
| keywords[8].score | 0.4149622917175293 |
| keywords[8].display_name | Service (business) |
| keywords[9].id | https://openalex.org/keywords/computer-science |
| keywords[9].score | 0.26988449692726135 |
| keywords[9].display_name | Computer science |
| keywords[10].id | https://openalex.org/keywords/business |
| keywords[10].score | 0.17765185236930847 |
| keywords[10].display_name | Business |
| keywords[11].id | https://openalex.org/keywords/alternative-medicine |
| keywords[11].score | 0.11760133504867554 |
| keywords[11].display_name | Alternative medicine |
| language | en |
| locations[0].id | doi:10.1017/cts.2022.439 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210205013 |
| locations[0].source.issn | 2059-8661 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2059-8661 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Journal of Clinical and Translational Science |
| locations[0].source.host_organization | https://openalex.org/P4310311721 |
| locations[0].source.host_organization_name | Cambridge University Press |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310311721 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/180201BDCECDD31AA637944D4AB04D90/S2059866122004393a.pdf/div-class-title-selecting-ehr-driven-recruitment-strategies-an-evidence-based-decision-guide-div.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Clinical and Translational Science |
| locations[0].landing_page_url | https://doi.org/10.1017/cts.2022.439 |
| locations[1].id | pmid:36285016 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Journal of clinical and translational science |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/36285016 |
| locations[2].id | pmh:oai:scholarworks.indianapolis.iu.edu:1805/35706 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306522653 |
| locations[2].source.issn | |
| locations[2].source.type | journal |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | True |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PMC |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].source.host_organization_lineage | |
| locations[2].license | cc-by |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Article |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | PMC |
| locations[2].landing_page_url | https://hdl.handle.net/1805/35706 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:9549481 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | J Clin Transl Sci |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9549481 |
| locations[4].id | pmh:oai:doaj.org/article:7c7598f13ef7421d8245fef70f351946 |
| locations[4].is_oa | False |
| locations[4].source.id | https://openalex.org/S4306401280 |
| locations[4].source.issn | |
| locations[4].source.type | repository |
| locations[4].source.is_oa | False |
| locations[4].source.issn_l | |
| locations[4].source.is_core | False |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[4].source.host_organization | |
| locations[4].source.host_organization_name | |
| locations[4].source.host_organization_lineage | |
| locations[4].license | |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | article |
| locations[4].license_id | |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | Journal of Clinical and Translational Science, Vol 6 (2022) |
| locations[4].landing_page_url | https://doaj.org/article/7c7598f13ef7421d8245fef70f351946 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5004682106 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-2911-6782 |
| authorships[0].author.display_name | Randall W. Grout |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4394709130, https://openalex.org/I55769427 |
| authorships[0].affiliations[0].raw_affiliation_string | Indiana University School of Medicine, Indianapolis, IN, USA |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I1324682000 |
| authorships[0].affiliations[1].raw_affiliation_string | The Regenstrief Institute, Inc., Indianapolis, IN, USA |
| authorships[0].institutions[0].id | https://openalex.org/I4394709130 |
| authorships[0].institutions[0].ror | https://ror.org/02ets8c94 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4394709130, https://openalex.org/I592451 |
| authorships[0].institutions[0].country_code | |
| authorships[0].institutions[0].display_name | Indiana University School of Medicine |
| authorships[0].institutions[1].id | https://openalex.org/I55769427 |
| authorships[0].institutions[1].ror | https://ror.org/05gxnyn08 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I55769427, https://openalex.org/I592451 |
| authorships[0].institutions[1].country_code | US |
| authorships[0].institutions[1].display_name | Indiana University – Purdue University Indianapolis |
| authorships[0].institutions[2].id | https://openalex.org/I1324682000 |
| authorships[0].institutions[2].ror | https://ror.org/05f2ywb48 |
| authorships[0].institutions[2].type | nonprofit |
| authorships[0].institutions[2].lineage | https://openalex.org/I1324682000 |
| authorships[0].institutions[2].country_code | US |
| authorships[0].institutions[2].display_name | Regenstrief Institute |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Randall W. Grout |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Indiana University School of Medicine, Indianapolis, IN, USA, The Regenstrief Institute, Inc., Indianapolis, IN, USA |
| authorships[1].author.id | https://openalex.org/A5110970027 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Dan R Hood |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I1324682000 |
| authorships[1].affiliations[0].raw_affiliation_string | The Regenstrief Institute, Inc., Indianapolis, IN, USA |
| authorships[1].institutions[0].id | https://openalex.org/I1324682000 |
| authorships[1].institutions[0].ror | https://ror.org/05f2ywb48 |
| authorships[1].institutions[0].type | nonprofit |
| authorships[1].institutions[0].lineage | https://openalex.org/I1324682000 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Regenstrief Institute |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Dan Hood |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | The Regenstrief Institute, Inc., Indianapolis, IN, USA |
| authorships[2].author.id | https://openalex.org/A5031916033 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-7015-8442 |
| authorships[2].author.display_name | Sarah J. Nelson |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[2].affiliations[0].raw_affiliation_string | Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA |
| authorships[2].institutions[0].id | https://openalex.org/I901861585 |
| authorships[2].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[2].institutions[0].type | healthcare |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Sarah J. Nelson |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA |
| authorships[3].author.id | https://openalex.org/A5016939870 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1744-2011 |
| authorships[3].author.display_name | Paul A. Harris |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I901861585 |
| authorships[3].affiliations[1].raw_affiliation_string | Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA |
| authorships[3].affiliations[2].institution_ids | https://openalex.org/I200719446 |
| authorships[3].affiliations[2].raw_affiliation_string | Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA |
| authorships[3].institutions[0].id | https://openalex.org/I200719446 |
| authorships[3].institutions[0].ror | https://ror.org/02vm5rt34 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I200719446 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Vanderbilt University |
| authorships[3].institutions[1].id | https://openalex.org/I901861585 |
| authorships[3].institutions[1].ror | https://ror.org/05dq2gs74 |
| authorships[3].institutions[1].type | healthcare |
| authorships[3].institutions[1].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[3].institutions[1].country_code | US |
| authorships[3].institutions[1].display_name | Vanderbilt University Medical Center |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Paul A. Harris |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA, Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA |
| authorships[4].author.id | https://openalex.org/A5015307002 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-7733-0847 |
| authorships[4].author.display_name | Peter J. Embí |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I901861585 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I901861585 |
| authorships[4].affiliations[1].raw_affiliation_string | Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA |
| authorships[4].institutions[0].id | https://openalex.org/I901861585 |
| authorships[4].institutions[0].ror | https://ror.org/05dq2gs74 |
| authorships[4].institutions[0].type | healthcare |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210162197, https://openalex.org/I901861585 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Vanderbilt University Medical Center |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Peter J. Embí |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA, Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/180201BDCECDD31AA637944D4AB04D90/S2059866122004393a.pdf/div-class-title-selecting-ehr-driven-recruitment-strategies-an-evidence-based-decision-guide-div.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Selecting EHR-driven recruitment strategies: An evidence-based decision guide |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10582 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9994000196456909 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2739 |
| primary_topic.subfield.display_name | Public Health, Environmental and Occupational Health |
| primary_topic.display_name | Ethics in Clinical Research |
| related_works | https://openalex.org/W1657880117, https://openalex.org/W2595172197, https://openalex.org/W2127970246, https://openalex.org/W2084856301, https://openalex.org/W1001352512, https://openalex.org/W4382618745, https://openalex.org/W2885125400, https://openalex.org/W1989889224, https://openalex.org/W1987128138, https://openalex.org/W2384792696 |
| cited_by_count | 7 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 4 |
| locations_count | 5 |
| best_oa_location.id | doi:10.1017/cts.2022.439 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210205013 |
| best_oa_location.source.issn | 2059-8661 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2059-8661 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Journal of Clinical and Translational Science |
| best_oa_location.source.host_organization | https://openalex.org/P4310311721 |
| best_oa_location.source.host_organization_name | Cambridge University Press |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310311721 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/180201BDCECDD31AA637944D4AB04D90/S2059866122004393a.pdf/div-class-title-selecting-ehr-driven-recruitment-strategies-an-evidence-based-decision-guide-div.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Clinical and Translational Science |
| best_oa_location.landing_page_url | https://doi.org/10.1017/cts.2022.439 |
| primary_location.id | doi:10.1017/cts.2022.439 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210205013 |
| primary_location.source.issn | 2059-8661 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2059-8661 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Journal of Clinical and Translational Science |
| primary_location.source.host_organization | https://openalex.org/P4310311721 |
| primary_location.source.host_organization_name | Cambridge University Press |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310311721 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/180201BDCECDD31AA637944D4AB04D90/S2059866122004393a.pdf/div-class-title-selecting-ehr-driven-recruitment-strategies-an-evidence-based-decision-guide-div.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Clinical and Translational Science |
| primary_location.landing_page_url | https://doi.org/10.1017/cts.2022.439 |
| publication_date | 2022-01-01 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2886082889, https://openalex.org/W2770160079, https://openalex.org/W2900748475, https://openalex.org/W1975971094, https://openalex.org/W2902588348, https://openalex.org/W1985617145, https://openalex.org/W2964039943, https://openalex.org/W6748690449, https://openalex.org/W2237909439, https://openalex.org/W3094986284, https://openalex.org/W2978234062, https://openalex.org/W2148794355, https://openalex.org/W2747736472, https://openalex.org/W3145621903, https://openalex.org/W2974407481, https://openalex.org/W2912505287, https://openalex.org/W2912816136, https://openalex.org/W3064975665, https://openalex.org/W2976615295, https://openalex.org/W2801996015, https://openalex.org/W3210886649, https://openalex.org/W3032794980, https://openalex.org/W3195594194, https://openalex.org/W2976952205, https://openalex.org/W2025472120, https://openalex.org/W6804406968, https://openalex.org/W2942105630, https://openalex.org/W574700118, https://openalex.org/W3025420882, https://openalex.org/W2109347377, https://openalex.org/W3217286444, https://openalex.org/W2788630491 |
| referenced_works_count | 32 |
| abstract_inverted_index.3 | 73 |
| abstract_inverted_index.a | 6, 67 |
| abstract_inverted_index.17 | 70 |
| abstract_inverted_index.As | 62 |
| abstract_inverted_index.We | 84 |
| abstract_inverted_index.be | 11 |
| abstract_inverted_index.by | 13 |
| abstract_inverted_index.in | 79 |
| abstract_inverted_index.is | 5, 36, 179 |
| abstract_inverted_index.no | 171 |
| abstract_inverted_index.of | 58, 111, 123 |
| abstract_inverted_index.on | 144 |
| abstract_inverted_index.or | 140, 156 |
| abstract_inverted_index.to | 30, 52, 91, 99, 107, 181, 191 |
| abstract_inverted_index.we | 65 |
| abstract_inverted_index.EHR | 45 |
| abstract_inverted_index.The | 38, 135 |
| abstract_inverted_index.and | 32, 87, 114, 128, 131, 167, 187 |
| abstract_inverted_index.can | 10 |
| abstract_inverted_index.for | 3, 22, 27, 104, 154, 168, 185 |
| abstract_inverted_index.key | 94 |
| abstract_inverted_index.new | 189 |
| abstract_inverted_index.the | 44, 63, 145, 149 |
| abstract_inverted_index.use | 33 |
| abstract_inverted_index.was | 174 |
| abstract_inverted_index.ERCR | 150 |
| abstract_inverted_index.care | 112 |
| abstract_inverted_index.five | 93 |
| abstract_inverted_index.into | 121 |
| abstract_inverted_index.line | 51 |
| abstract_inverted_index.most | 159 |
| abstract_inverted_index.over | 72 |
| abstract_inverted_index.site | 133 |
| abstract_inverted_index.some | 169 |
| abstract_inverted_index.such | 34 |
| abstract_inverted_index.that | 9 |
| abstract_inverted_index.were | 119, 158, 163 |
| abstract_inverted_index.with | 75 |
| abstract_inverted_index.ERCR, | 64 |
| abstract_inverted_index.based | 143 |
| abstract_inverted_index.calls | 157 |
| abstract_inverted_index.come. | 192 |
| abstract_inverted_index.guide | 68 |
| abstract_inverted_index.least | 164 |
| abstract_inverted_index.lists | 103, 153 |
| abstract_inverted_index.point | 110 |
| abstract_inverted_index.study | 124, 126 |
| abstract_inverted_index.these | 186 |
| abstract_inverted_index.those | 28 |
| abstract_inverted_index.years | 74 |
| abstract_inverted_index.(ERCR) | 49 |
| abstract_inverted_index.Across | 148 |
| abstract_inverted_index.Center | 42 |
| abstract_inverted_index.direct | 98, 106 |
| abstract_inverted_index.domain | 89 |
| abstract_inverted_index.health | 16 |
| abstract_inverted_index.matrix | 137 |
| abstract_inverted_index.needed | 180 |
| abstract_inverted_index.refine | 182 |
| abstract_inverted_index.select | 31 |
| abstract_inverted_index.(EHRs). | 18 |
| abstract_inverted_index.Consult | 47 |
| abstract_inverted_index.Despite | 19 |
| abstract_inverted_index.alerts, | 109, 113 |
| abstract_inverted_index.common, | 160 |
| abstract_inverted_index.diverse | 80 |
| abstract_inverted_index.engaged | 88 |
| abstract_inverted_index.evolved | 66 |
| abstract_inverted_index.experts | 90 |
| abstract_inverted_index.factors | 118, 122 |
| abstract_inverted_index.further | 183 |
| abstract_inverted_index.grouped | 120 |
| abstract_inverted_index.mailing | 155 |
| abstract_inverted_index.patient | 100 |
| abstract_inverted_index.records | 17 |
| abstract_inverted_index.service | 50 |
| abstract_inverted_index.studies | 55, 77, 170 |
| abstract_inverted_index.support | 53 |
| abstract_inverted_index.through | 56, 69 |
| abstract_inverted_index.various | 23 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Resource | 48 |
| abstract_inverted_index.assessed | 85 |
| abstract_inverted_index.decision | 136 |
| abstract_inverted_index.domains. | 83 |
| abstract_inverted_index.emerging | 20 |
| abstract_inverted_index.evidence | 21, 184 |
| abstract_inverted_index.factors. | 147 |
| abstract_inverted_index.guidance | 26 |
| abstract_inverted_index.identify | 92 |
| abstract_inverted_index.improved | 12 |
| abstract_inverted_index.limited. | 37 |
| abstract_inverted_index.national | 39 |
| abstract_inverted_index.protocol | 127 |
| abstract_inverted_index.research | 4, 82, 108, 178 |
| abstract_inverted_index.candidate | 102, 152 |
| abstract_inverted_index.indicates | 138 |
| abstract_inverted_index.messages, | 101 |
| abstract_inverted_index.multisite | 54, 76 |
| abstract_inverted_index.preferred | 141 |
| abstract_inverted_index.EHR-driven | 24, 59, 95, 172 |
| abstract_inverted_index.Innovation | 41 |
| abstract_inverted_index.acceptable | 139 |
| abstract_inverted_index.approaches | 35 |
| abstract_inverted_index.attempting | 29 |
| abstract_inverted_index.biomedical | 81 |
| abstract_inverted_index.bottleneck | 8 |
| abstract_inverted_index.electronic | 15 |
| abstract_inverted_index.frequently | 165 |
| abstract_inverted_index.leveraging | 14 |
| abstract_inverted_index.literature | 86 |
| abstract_inverted_index.persistent | 7 |
| abstract_inverted_index.recruiting | 78 |
| abstract_inverted_index.registries | 162 |
| abstract_inverted_index.strategies | 142, 190 |
| abstract_inverted_index.workflows, | 130 |
| abstract_inverted_index.Comparative | 176 |
| abstract_inverted_index.Participant | 1 |
| abstract_inverted_index.Recruitment | 40, 46 |
| abstract_inverted_index.approaches, | 25 |
| abstract_inverted_index.established | 43 |
| abstract_inverted_index.participant | 115, 161 |
| abstract_inverted_index.population, | 125 |
| abstract_inverted_index.potentially | 188 |
| abstract_inverted_index.recruitment | 2, 60, 96, 129, 132, 173 |
| abstract_inverted_index.registries. | 116 |
| abstract_inverted_index.strategies. | 61 |
| abstract_inverted_index.strategies: | 97 |
| abstract_inverted_index.recommended, | 166 |
| abstract_inverted_index.recommended. | 175 |
| abstract_inverted_index.capabilities. | 134 |
| abstract_inverted_index.consultations | 71 |
| abstract_inverted_index.effectiveness | 177 |
| abstract_inverted_index.consultations, | 151 |
| abstract_inverted_index.implementation | 57 |
| abstract_inverted_index.Differentiating | 117 |
| abstract_inverted_index.differentiating | 146 |
| abstract_inverted_index.mailings/calls, | 105 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5004682106 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I1324682000, https://openalex.org/I4394709130, https://openalex.org/I55769427 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.81212636 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |