{"id":"https://openalex.org/W7162512607","doi":"https://doi.org/10.48550/arxiv.2605.26346","title":"The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology","display_name":"The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology","publication_year":2026,"publication_date":"2026-05-25","ids":{"openalex":"https://openalex.org/W7162512607","doi":"https://doi.org/10.48550/arxiv.2605.26346"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.26346","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26346","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.26346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137113976","display_name":"Jason Holmes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holmes, Jason","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040013478","display_name":"Federico Mastroleo","orcid":"https://orcid.org/0000-0001-6580-6767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mastroleo, Federico","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137119004","display_name":"Mariana Borras-Osorio","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borras-Osorio, Mariana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017529684","display_name":"Srinivas Seetamsetty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seetamsetty, Srinivas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137127524","display_name":"Satomi Shiraishi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiraishi, Satomi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005492801","display_name":"M. Fatyga","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fatyga, Mirek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023781047","display_name":"JC Boughey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boughey, Judy C.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137124740","display_name":"Cornelius A. Thiels","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thiels, Cornelius A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083513023","display_name":"William G. Breen","orcid":"https://orcid.org/0000-0001-8039-2398"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Breen, William G.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026088730","display_name":"J Daniel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Daniel J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137104959","display_name":"Daniel K. Ebner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ebner, Daniel K.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044706598","display_name":"David M. Routman","orcid":"https://orcid.org/0000-0002-2768-003X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Routman, David M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137140352","display_name":"Brady S. Laughlin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laughlin, Brady S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137176599","display_name":"Carlos E. Vargas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vargas, Carlos E.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038981517","display_name":"Samir H. Patel","orcid":"https://orcid.org/0000-0002-8251-574X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patel, Samir H.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109408458","display_name":"Sujay A. Vora","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vora, Sujay A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137177053","display_name":"Nadia N. Laack","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laack, Nadia N.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137147876","display_name":"Andrew Y. K. Foong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Foong, Andrew Y. K.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137128938","display_name":"Wei Liu","orcid":"https://orcid.org/0009-0001-1052-7741"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133559416","display_name":"Mark R. Waddle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Waddle, Mark R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.2685000002384186,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.2685000002384186,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.22419999539852142,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.13269999623298645,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/identification","display_name":"Identification (biology)","score":0.6111000180244446},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.6025000214576721},{"id":"https://openalex.org/keywords/likert-scale","display_name":"Likert scale","score":0.5092999935150146},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.5077999830245972},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4894999861717224},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4124000072479248},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4059000015258789},{"id":"https://openalex.org/keywords/radiation-oncology","display_name":"Radiation oncology","score":0.40070000290870667}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6258000135421753},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6111000180244446},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.6025000214576721},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.5134000182151794},{"id":"https://openalex.org/C105776082","wikidata":"https://www.wikidata.org/wiki/Q617473","display_name":"Likert scale","level":2,"score":0.5092999935150146},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.5077999830245972},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4894999861717224},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4059000015258789},{"id":"https://openalex.org/C2992520072","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation oncology","level":3,"score":0.40070000290870667},{"id":"https://openalex.org/C3018868096","wikidata":"https://www.wikidata.org/wiki/Q2693233","display_name":"Internal consistency","level":3,"score":0.3815000057220459},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C2776185967","wikidata":"https://www.wikidata.org/wiki/Q112945","display_name":"Technology acceptance model","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C2775944032","wikidata":"https://www.wikidata.org/wiki/Q22907659","display_name":"Patient satisfaction","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.26346","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26346","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.26346","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.26346","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Objective:":[0],"To":[1],"describe":[2],"the":[3],"design":[4],"and":[5,19,63,78,94,117,143,150,155],"early":[6],"clinical":[7,17,69],"evaluation":[8,31],"of":[9,42,49,66],"The":[10,187],"Daily":[11,46],"Dose":[12],"(TDD),":[13],"an":[14],"LLM-driven,":[15],"automated":[16,47,64],"summarization":[18],"clinical-trial":[20],"identification":[21,65],"system":[22,43],"integrated":[23],"into":[24],"routine":[25],"radiation":[26,115],"oncology":[27],"practice.":[28],"Design:":[29],"Mixed-methods":[30],"using":[32,54,104,127],"a":[33],"cross-sectional,":[34],"anonymous":[35],"clinician":[36],"survey":[37],"administered":[38],"after":[39],"1":[40],"month":[41],"deployment.":[44],"Exposure:":[45],"delivery":[48],"physician-specific":[50],"email":[51],"summaries":[52],"generated":[53],"RadOnc-GPT,":[55],"including":[56],"patient":[57],"schedules,":[58],"concise":[59],"EHR-derived":[60],"clinical-status":[61],"summaries,":[62],"potentially":[67],"relevant":[68],"trials":[70],"for":[71,96,141,147,153],"new":[72],"or":[73,130],"consult":[74],"visits.":[75],"Main":[76],"Outcomes":[77],"Measures:":[79],"Primary":[80],"outcomes":[81],"included":[82],"self-reported":[83],"usability,":[84],"satisfaction,":[85,144],"perceived":[86,88,148,167],"usefulness,":[87,149],"impact":[89,154],"on":[90],"workflow,":[91],"time":[92,168,176],"savings,":[93,177],"intention":[95],"continued":[97],"use.":[98],"Internal":[99],"consistency":[100,192],"reliability":[101],"was":[102,163],"assessed":[103],"Cronbach's":[105,194],"$\u03b1$.":[106],"Results:":[107],"Among":[108],"55":[109],"respondents,":[110],"52":[111],"(94.5\\%)":[112],"worked":[113],"in":[114],"oncology,":[116],"38":[118],"(69.1\\%)":[119],"were":[120,138],"attending":[121],"physicians.":[122],"Most":[123],"participants":[124],"(83.6\\%)":[125],"reported":[126,174],"TDD":[128],"daily":[129],"several":[131],"times":[132],"per":[133,185],"week.":[134],"Mean":[135],"(SD)":[136],"scores":[137],"3.89":[139],"(1.04)":[140],"usability":[142],"3.43":[145],"(1.24)":[146],"3.80":[151],"(1.17)":[152],"future":[156],"use":[157],"(5-point":[158],"Likert":[159],"scale).":[160],"Overall":[161],"satisfaction":[162],"positively":[164],"associated":[165],"with":[166,178],"savings":[169],"($p":[170],"<":[171],".001$).":[172],"Participants":[173],"variable":[175],"27\\%":[179],"estimating":[180],"$\\geq":[181],"10$":[182],"minutes":[183],"saved":[184],"day.":[186],"questionnaire":[188],"demonstrated":[189],"excellent":[190],"internal":[191],"(overall":[193],"$\u03b1$":[195],"=":[196],"0.97).":[197]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-28T00:00:00"}