{"id":"https://openalex.org/W4413334903","doi":"https://doi.org/10.1007/978-3-032-00656-1_8","title":"From Clinic to\u00a0Code: Using Clinician Insights to\u00a0Develop a\u00a0Framework for\u00a0Fair and\u00a0Representative Datasets in\u00a0Women\u2019s Health AI","display_name":"From Clinic to\u00a0Code: Using Clinician Insights to\u00a0Develop a\u00a0Framework for\u00a0Fair and\u00a0Representative Datasets in\u00a0Women\u2019s Health AI","publication_year":2025,"publication_date":"2025-08-20","ids":{"openalex":"https://openalex.org/W4413334903","doi":"https://doi.org/10.1007/978-3-032-00656-1_8"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-00656-1_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-00656-1_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-032-00656-1_8","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112354555","display_name":"Aine Heaney","orcid":"https://orcid.org/0009-0000-2447-724X"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Andrea Heaney","raw_affiliation_strings":["School of Computer Science, Technological University of -Dublin, Grangegorman Lower, Dublin 7, D07 H6K8, Ireland"],"raw_orcid":"https://orcid.org/0009-0000-2447-724X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Technological University of -Dublin, Grangegorman Lower, Dublin 7, D07 H6K8, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078902586","display_name":"Emma Murphy","orcid":"https://orcid.org/0000-0001-6738-3067"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Emma Murphy","raw_affiliation_strings":["School of Computer Science, Technological University of -Dublin, Grangegorman Lower, Dublin 7, D07 H6K8, Ireland"],"raw_orcid":"https://orcid.org/0000-0001-6738-3067","affiliations":[{"raw_affiliation_string":"School of Computer Science, Technological University of -Dublin, Grangegorman Lower, Dublin 7, D07 H6K8, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065100730","display_name":"Eugene R. Hickey","orcid":"https://orcid.org/0000-0001-9813-9323"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Eugene Hickey","raw_affiliation_strings":["School of Computer Science, Technological University of -Dublin, Grangegorman Lower, Dublin 7, D07 H6K8, Ireland"],"raw_orcid":"https://orcid.org/0000-0001-9813-9323","affiliations":[{"raw_affiliation_string":"School of Computer Science, Technological University of -Dublin, Grangegorman Lower, Dublin 7, D07 H6K8, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112354555"],"corresponding_institution_ids":["https://openalex.org/I4210144925"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":12.6447,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97781793,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13252","display_name":"Sex and Gender in Healthcare","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13252","display_name":"Sex and Gender in Healthcare","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10726","display_name":"Career Development and Diversity","score":0.9302999973297119,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13656","display_name":"Science, Research, and Medicine","score":0.9089000225067139,"subfield":{"id":"https://openalex.org/subfields/2743","display_name":"Reproductive Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8187921047210693},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6945400238037109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38861918449401855},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33686453104019165},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3237704634666443},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2288711965084076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8187921047210693},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6945400238037109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38861918449401855},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33686453104019165},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3237704634666443},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2288711965084076},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-00656-1_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-00656-1_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-032-00656-1_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-00656-1_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1977898022","https://openalex.org/W1979290264","https://openalex.org/W1987985912","https://openalex.org/W2468439788","https://openalex.org/W2594519269","https://openalex.org/W2902802452","https://openalex.org/W3057302762","https://openalex.org/W3112421345","https://openalex.org/W3203653999","https://openalex.org/W3207537586","https://openalex.org/W4212842985","https://openalex.org/W4213217898","https://openalex.org/W4307176636","https://openalex.org/W4313198104","https://openalex.org/W4379089795","https://openalex.org/W4385331492","https://openalex.org/W4386419381","https://openalex.org/W4389088952","https://openalex.org/W4389765217","https://openalex.org/W4389917881","https://openalex.org/W4391716085","https://openalex.org/W4391750024","https://openalex.org/W4407755663","https://openalex.org/W4409683303"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,174],"development":[1,128,151],"of":[2,14,53,65,105,112,114,145],"Artificial":[3],"Intelligence":[4],"(AI)":[5],"in":[6,101],"healthcare":[7],"is":[8,154,176,193],"largely":[9],"dependent":[10],"on":[11,62],"the":[12,51,85,115,138,143,149],"quality":[13],"medical":[15,172,203],"datasets.":[16,103],"However,":[17],"these":[18,102,106],"datasets":[19],"often":[20],"fail":[21],"to":[22,32,42,77,96],"accurately":[23,98],"represent":[24,99],"women":[25,100],"(and":[26],"those":[27,169],"seen":[28],"as":[29],"women)":[30],"due":[31],"historic,":[33],"implicit":[34],"and":[35,45,88,118,120,129,164,188,201],"biological":[36],"biases.":[37],"This":[38,82,191],"under-representation":[39],"can":[40],"lead":[41],"biased,":[43],"inequitable":[44],"even":[46],"harmful":[47],"models.":[48],"Building":[49],"upon":[50],"findings":[52,76],"previously":[54],"conducted":[55],"qualitative":[56,75],"semi-structured":[57],"semantic":[58],"interviews":[59],"with":[60,142],"clinicians":[61],"their":[63],"perceptions":[64],"women\u2019s":[66],"health,":[67],"this":[68,133],"paper":[69],"presents":[70],"a":[71,90,156,166,194],"framework":[72,83,175,192],"for":[73,158,161,168],"translating":[74],"dataset":[78,91],"characteristics":[79,87],"via":[80],"operationalisation.":[81],"outlines":[84],"key":[86],"considerations":[89],"should":[92],"include":[93],"or":[94],"consider":[95],"more":[97,198],"Some":[104],"factors":[107],"include:":[108],"pregnancy":[109],"status,":[110],"gender":[111],"provider":[113],"care,":[116],"menstruation":[117],"menopause,":[119],"ethnicity.":[121],"Rather":[122],"than":[123],"considering":[124],"fairness":[125,136],"after":[126],"model":[127,162],"employing":[130],"de-biasing":[131],"metrics,":[132],"approach":[134],"places":[135],"at":[137],"initial":[139],"selection":[140,160],"stages,":[141],"goal":[144],"embedding":[146],"equity":[147],"throughout":[148],"entire":[150],"pipeline.":[152],"It":[153],"both":[155],"checklist":[157],"data":[159],"developers":[163],"also":[165],"guideline":[167],"who":[170],"collect":[171],"data.":[173],"divided":[177],"into":[178],"Necessities,":[179],"Data":[180],"Comprehension,":[181],"Gender-Specific":[182],"Factors,":[183,187],"Clinician":[184],"Information,":[185],"Patient-Specific":[186],"Additional":[189],"considerations.":[190],"step":[195],"towards":[196],"creating":[197],"gender-conscious,":[199],"equitable":[200],"fair":[202],"AI":[204],"systems.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
