{"id":"https://openalex.org/W3014284538","doi":"https://doi.org/10.1055/s-0040-1708049","title":"Natural Language Processing to Extract Meaningful Information from Patient Experience Feedback","display_name":"Natural Language Processing to Extract Meaningful Information from Patient Experience Feedback","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3014284538","doi":"https://doi.org/10.1055/s-0040-1708049","mag":"3014284538","pmid":"https://pubmed.ncbi.nlm.nih.gov/32236917"},"language":"en","primary_location":{"id":"doi:10.1055/s-0040-1708049","is_oa":true,"landing_page_url":"https://doi.org/10.1055/s-0040-1708049","pdf_url":"http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0040-1708049.pdf","source":{"id":"https://openalex.org/S187139995","display_name":"Applied Clinical Informatics","issn_l":"1869-0327","issn":["1869-0327"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320000","host_organization_name":"Thieme Medical Publishers (Germany)","host_organization_lineage":["https://openalex.org/P4310320000"],"host_organization_lineage_names":["Thieme Medical Publishers (Germany)"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Clinical Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0040-1708049.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073969709","display_name":"Khalid Nawab","orcid":"https://orcid.org/0000-0002-1824-413X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Khalid Nawab","raw_affiliation_strings":["Department of Medicine, Geisinger Holy Spirit Hospital, Camp Hill, Pennsylvania, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Geisinger Holy Spirit Hospital, Camp Hill, Pennsylvania, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009930224","display_name":"Gretchen Ramsey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gretchen Ramsey","raw_affiliation_strings":["Patient Experience, Geisinger Holy Spirit Hospital, Camp Hill, Pennsylvania, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Patient Experience, Geisinger Holy Spirit Hospital, Camp Hill, Pennsylvania, United States","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024127399","display_name":"Richard Schreiber","orcid":"https://orcid.org/0000-0002-6138-7048"},"institutions":[{"id":"https://openalex.org/I54713919","display_name":"Geisinger Health System","ror":"https://ror.org/02qdbgx97","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I54713919"]},{"id":"https://openalex.org/I75747061","display_name":"Commonwealth Medical College","ror":"https://ror.org/04bqfk210","country_code":"US","type":"education","lineage":["https://openalex.org/I54713919","https://openalex.org/I75747061"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Schreiber","raw_affiliation_strings":["Physician Informatics and Department of Medicine, Geisinger Health System, Geisinger Commonwealth School of Medicine, Camp Hill, Pennsylvania, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physician Informatics and Department of Medicine, Geisinger Health System, Geisinger Commonwealth School of Medicine, Camp Hill, Pennsylvania, United States","institution_ids":["https://openalex.org/I75747061","https://openalex.org/I54713919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073969709"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.4463,"has_fulltext":true,"cited_by_count":79,"citation_normalized_percentile":{"value":0.98157985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"02","first_page":"242","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10827","display_name":"Patient-Provider Communication in Healthcare","score":0.14190000295639038,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10827","display_name":"Patient-Provider Communication in Healthcare","score":0.14190000295639038,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.12349999696016312,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.09160000085830688,"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/housekeeping","display_name":"Housekeeping","score":0.7037873268127441},{"id":"https://openalex.org/keywords/bigram","display_name":"Bigram","score":0.6994298696517944},{"id":"https://openalex.org/keywords/spelling","display_name":"Spelling","score":0.6237491369247437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5594748258590698},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5574656128883362},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4951275885105133},{"id":"https://openalex.org/keywords/reimbursement","display_name":"Reimbursement","score":0.45051732659339905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41801023483276367},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.41405153274536133},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3598429262638092},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.32252371311187744},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.24508076906204224}],"concepts":[{"id":"https://openalex.org/C90861158","wikidata":"https://www.wikidata.org/wiki/Q708514","display_name":"Housekeeping","level":3,"score":0.7037873268127441},{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.6994298696517944},{"id":"https://openalex.org/C2777801307","wikidata":"https://www.wikidata.org/wiki/Q2088390","display_name":"Spelling","level":2,"score":0.6237491369247437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5594748258590698},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5574656128883362},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4951275885105133},{"id":"https://openalex.org/C2779703844","wikidata":"https://www.wikidata.org/wiki/Q760125","display_name":"Reimbursement","level":3,"score":0.45051732659339905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41801023483276367},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.41405153274536133},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3598429262638092},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.32252371311187744},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.24508076906204224},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D005246","descriptor_name":"Feedback","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005246","descriptor_name":"Feedback","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005246","descriptor_name":"Feedback","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017060","descriptor_name":"Patient Satisfaction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017060","descriptor_name":"Patient Satisfaction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017060","descriptor_name":"Patient Satisfaction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1055/s-0040-1708049","is_oa":true,"landing_page_url":"https://doi.org/10.1055/s-0040-1708049","pdf_url":"http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0040-1708049.pdf","source":{"id":"https://openalex.org/S187139995","display_name":"Applied Clinical Informatics","issn_l":"1869-0327","issn":["1869-0327"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320000","host_organization_name":"Thieme Medical Publishers (Germany)","host_organization_lineage":["https://openalex.org/P4310320000"],"host_organization_lineage_names":["Thieme Medical Publishers (Germany)"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Clinical Informatics","raw_type":"journal-article"},{"id":"pmid:32236917","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32236917","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied clinical informatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7113005","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7113005","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Appl Clin Inform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1055/s-0040-1708049","is_oa":true,"landing_page_url":"https://doi.org/10.1055/s-0040-1708049","pdf_url":"http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0040-1708049.pdf","source":{"id":"https://openalex.org/S187139995","display_name":"Applied Clinical Informatics","issn_l":"1869-0327","issn":["1869-0327"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320000","host_organization_name":"Thieme Medical Publishers (Germany)","host_organization_lineage":["https://openalex.org/P4310320000"],"host_organization_lineage_names":["Thieme Medical Publishers (Germany)"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Clinical Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014284538.pdf","grobid_xml":"https://content.openalex.org/works/W3014284538.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1586714687","https://openalex.org/W1592736283","https://openalex.org/W1996823741","https://openalex.org/W2019438374","https://openalex.org/W2021204293","https://openalex.org/W2050263358","https://openalex.org/W2081934888","https://openalex.org/W2117278400","https://openalex.org/W2158134389","https://openalex.org/W2315671882","https://openalex.org/W2485066409","https://openalex.org/W2514053686","https://openalex.org/W2602808862","https://openalex.org/W2621336853","https://openalex.org/W2735580341","https://openalex.org/W2800727526","https://openalex.org/W2803672723","https://openalex.org/W2809132678","https://openalex.org/W2927462243","https://openalex.org/W2947746104","https://openalex.org/W2952898513","https://openalex.org/W2953426359","https://openalex.org/W2963374817","https://openalex.org/W4298343974"],"related_works":["https://openalex.org/W3173084154","https://openalex.org/W2982021180","https://openalex.org/W2251497876","https://openalex.org/W2241081188","https://openalex.org/W2128567707","https://openalex.org/W159278796","https://openalex.org/W2011383762","https://openalex.org/W2035962958","https://openalex.org/W2146546639","https://openalex.org/W26478703"],"abstract_inverted_index":{"BACKGROUND:":[0],"Due":[1],"to":[2,7,15,23,26,39,56,71,90,137,141,161,191,255,275,283],"reimbursement":[3],"tied":[4],"in":[5,194,233,238,292],"part":[6],"patients'":[8,28],"perception":[9],"of":[10,34,121,177,260,296],"their":[11],"care,":[12],"hospitals":[13],"continue":[14],"stress":[16],"obtaining":[17],"patient":[18,44,143,195,257,281,297],"feedback":[19,45,282,298],"and":[20,73,96,127,150,183,199,201,221,230,249],"understanding":[21],"it":[22,288],"plan":[24],"interventions":[25],"improve":[27],"experience.":[29],"We":[30,101,145,173,214,224],"demonstrate":[31],"the":[32,148,154,178,186,204,234],"use":[33],"natural":[35],"language":[36],"processing":[37,293],"(NLP)":[38],"extract":[40,284],"meaningful":[41,285],"information":[42,242,262],"from":[43,265,278],"obtained":[46,167],"through":[47],"Press":[48],"Ganey":[49],"surveys.":[50],"METHODS:":[51],"The":[52],"first":[53],"step":[54],"was":[55,263],"standardize":[57],"textual":[58,280],"data":[59,88,267],"programmatically":[60],"using":[61],"NLP":[62,270],"libraries.":[63],"This":[64],"included":[65],"correcting":[66],"spelling":[67],"mistakes,":[68],"converting":[69],"text":[70],"lowercase,":[72],"removing":[74],"words":[75],"that":[76,175,207,226],"most":[77,122,176],"likely":[78],"did":[79],"not":[80],"carry":[81],"useful":[82],"information.":[83],"Next,":[84],"we":[85,118],"converted":[86],"numeric":[87,266],"pertaining":[89],"each":[91],"category":[92],"based":[93],"on":[94,165],"sentiment":[95,163],"care":[97,103],"aspect":[98,104],"into":[99],"charts.":[100],"selected":[102],"categories":[105,206],"where":[106],"there":[107],"were":[108,180,203,252],"more":[109,113,209],"negative":[110,142,151,210,256],"comments":[111,152,179],"for":[112,157],"in-depth":[114],"study.":[115],"Using":[116],"NLP,":[117],"made":[119],"tables":[120],"frequently":[123],"appearing":[124,218],"words,":[125,219],"adjectives,":[126,220],"bigrams.":[128],"Comments":[129],"with":[130],"frequent":[131,246],"words/combinations":[132],"underwent":[133],"further":[134],"study":[135],"manually":[136],"understand":[138],"factors":[139],"contributing":[140],"feedback.":[144,258],"then":[146,215],"used":[147],"positive":[149,212],"as":[153],"training":[155],"dataset":[156],"a":[158,289],"neural":[159],"network":[160],"perform":[162],"analysis":[164],"sentences":[166],"by":[168],"splitting":[169],"mixed":[170],"reviews.":[171],"RESULTS:":[172],"found":[174,225],"about":[181,243],"doctors":[182],"nurses,":[184],"confirming":[185],"important":[187],"role":[188],"patients":[189],"ascribed":[190],"these":[192],"two":[193],"care.":[196],"\"Room,\"":[197],"\"discharge\"":[198],"\"tests":[200],"treatments\"":[202],"three":[205],"had":[208],"than":[211],"comments.":[213],"tabulated":[216],"commonly":[217],"two-word":[222],"combinations.":[223],"climate":[227],"control,":[228],"housekeeping":[229],"noise":[231],"levels":[232],"room,":[235],"time":[236],"delays":[237],"discharge":[239,244],"paperwork,":[240],"conflicting":[241],"plan,":[245],"blood":[247],"draws,":[248],"needle":[250],"sticks":[251],"major":[253],"contributors":[254],"None":[259],"this":[261],"available":[264],"alone.":[268],"CONCLUSION:":[269],"is":[271],"an":[272],"effective":[273],"tool":[274,291],"gain":[276],"insight":[277],"raw":[279],"information,":[286],"making":[287],"powerful":[290],"large":[294],"amounts":[295],"efficiently.":[299]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
