{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T09:43:31Z","timestamp":1783763011333,"version":"3.55.0"},"reference-count":19,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","thespinejournalonline.com","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["The Spine Journal"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1016\/j.spinee.2021.08.002","type":"journal-article","created":{"date-parts":[[2021,8,15]],"date-time":"2021-08-15T13:34:41Z","timestamp":1629034481000},"page":"272-277","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":31,"title":["Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?"],"prefix":"10.1016","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6026-4361","authenticated-orcid":false,"given":"Aditya V.","family":"Karhade","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1197-747X","authenticated-orcid":false,"given":"Ophelie","family":"Lavoie-Gagne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicole","family":"Agaronnik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamid","family":"Ghaednia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Austin K.","family":"Collins","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6291-5327","authenticated-orcid":false,"given":"David","family":"Shin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph H.","family":"Schwab","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.spinee.2021.08.002_bib0001","unstructured":"Hospital Readmissions Reduction Program. 2020; Available at:https:\/\/www.cms.gov\/Medicare\/Quality-Initiatives-Patient-Assessment-Instruments\/Value-Based-Programs\/HRRP\/Hospital-Readmission-Reduction-Program."},{"key":"10.1016\/j.spinee.2021.08.002_bib0002","doi-asserted-by":"crossref","unstructured":"Ibrahim AM, Dimick JB. A decade later, lessons learned from the hospital readmissions reduction program. JAMA network open. 2019;2(5):e194594-e.","DOI":"10.1001\/jamanetworkopen.2019.4594"},{"key":"10.1016\/j.spinee.2021.08.002_bib0003","doi-asserted-by":"crossref","unstructured":"Ilyas H, Golubovsky JL, Chen J, Winkelman RD, Mroz TE, Steinmetz MP. Risk factors for 90-day reoperation and readmission after lumbar surgery for lumbar spinal stenosis. Journal of Neurosurgery: Spine. 2019;31(1):20-6.","DOI":"10.3171\/2019.1.SPINE18878"},{"key":"10.1016\/j.spinee.2021.08.002_bib0004","doi-asserted-by":"crossref","unstructured":"Baaj AA, Lang G, Hsu W-C, Avila MJ, Mao J, Sedrakyan A. 90-day readmission after lumbar spinal fusion surgery in new york state between 2005 and 2014. Spine. 2017;42(22):1706-16.","DOI":"10.1097\/BRS.0000000000002208"},{"key":"10.1016\/j.spinee.2021.08.002_bib0005","doi-asserted-by":"crossref","unstructured":"Karhade AV, Bongers ME, Groot OQ, Kazarian ER, Cha TD, Fogel HA, et al. Natural language processing for automated detection of incidental durotomy. The Spine Journal. 2020;20(5):695-700.","DOI":"10.1016\/j.spinee.2019.12.006"},{"key":"10.1016\/j.spinee.2021.08.002_bib0006","doi-asserted-by":"crossref","unstructured":"Karhade AV, Bongers ME, Groot OQ, Cha TD, Doorly TP, Fogel HA, et al. Can natural language processing provide accurate, automated reporting of wound infection requiring reoperation after lumbar discectomy? The Spine Journal. 2020;20(10):1602-9.","DOI":"10.1016\/j.spinee.2020.02.021"},{"key":"10.1016\/j.spinee.2021.08.002_bib0007","doi-asserted-by":"crossref","unstructured":"Karhade AV, Bongers ME, Groot OQ, Cha TD, Doorly TP, Fogel HA, et al. Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery. The Spine Journal. 2020.","DOI":"10.1016\/j.spinee.2020.04.001"},{"key":"10.1016\/j.spinee.2021.08.002_bib0008","doi-asserted-by":"crossref","unstructured":"Martini ML, Neifert SN, Oermann EK, Gal J, Rajan K, Nistal DA, et al. Machine learning with feature domains elucidates candidate drivers of hospital readmission following spine surgery in a large single-center patient cohort. Neurosurgery. 2020;87(4):E500-E10.","DOI":"10.1093\/neuros\/nyaa136"},{"key":"10.1016\/j.spinee.2021.08.002_bib0009","doi-asserted-by":"crossref","unstructured":"Bernatz JT, Anderson PA. Thirty-day readmission rates in spine surgery: Systematic review and meta-analysis. Neurosurgical focus. 2015;39(4):E7.","DOI":"10.3171\/2015.7.FOCUS1534"},{"issue":"6","key":"10.1016\/j.spinee.2021.08.002_bib0010","doi-asserted-by":"crossref","first-page":"845","DOI":"10.3171\/2020.5.SPINE20395","article-title":"Institutional databases may underestimate the risk factors for 30-day unplanned readmissions compared to national databases","volume":"33","author":"Kurian","year":"2020","journal-title":"J Neurosurg Spine"},{"issue":"5","key":"10.1016\/j.spinee.2021.08.002_bib0011","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1097\/BRS.0000000000003248","article-title":"High, as well as low, preoperative platelet counts correlate with adverse outcomes after elective posterior lumbar surgery","volume":"45","author":"Malpani","year":"2020","journal-title":"Spine (Phila Pa 1976)"},{"issue":"4","key":"10.1016\/j.spinee.2021.08.002_bib0012","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1177\/2192568218797089","article-title":"Thirty-day perioperative complications, prolonged length of stay, and readmission following elective posterior lumbar fusion associated with poor nutritional status","volume":"9","author":"Phan","year":"2019","journal-title":"Glob Spine J"},{"issue":"12","key":"10.1016\/j.spinee.2021.08.002_bib0013","doi-asserted-by":"crossref","first-page":"E704","DOI":"10.1097\/BRS.0000000000003412","article-title":"Risk factors for 90-day readmissions with fluid and electrolyte disorders following posterior lumbar fusion","volume":"45","author":"Ranti","year":"2020","journal-title":"Spine (Phila Pa 1976)"},{"key":"10.1016\/j.spinee.2021.08.002_bib0014","doi-asserted-by":"crossref","unstructured":"Rubel NC, Chung AS, Wong M, Lara NJ, Makovicka JL, Arvind V, et al. 90-day readmission in elective primary lumbar spine surgery in the inpatient setting: A nationwide readmissions database sample analysis. Spine. 2019;44(14):E857-E64.","DOI":"10.1097\/BRS.0000000000002995"},{"key":"10.1016\/j.spinee.2021.08.002_bib0015","doi-asserted-by":"crossref","unstructured":"Wiley MR, Carreon LY, Djurasovic M, Glassman SD, Khalil YH, Kannapel M, et al. Economic analysis of 90-day return to the emergency room and readmission after elective lumbar spine surgery: A single-center analysis of 5444 patients. Journal of Neurosurgery: Spine. 2020;34(1):89-95.","DOI":"10.3171\/2020.6.SPINE191477"},{"issue":"16","key":"10.1016\/j.spinee.2021.08.002_bib0016","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1097\/BRS.0000000000003467","article-title":"New onset depression and anxiety after spinal fusion surgery: incidence and risk factors","volume":"45","author":"Bekeris","year":"2020","journal-title":"Spine (Phila Pa 1976)"},{"issue":"3","key":"10.1016\/j.spinee.2021.08.002_bib0017","doi-asserted-by":"crossref","first-page":"399","DOI":"10.3171\/2019.9.SPINE19860","article-title":"Using machine learning to predict 30-day readmissions after posterior lumbar fusion: an NSQIP study involving 23,264 patients","volume":"32","author":"Hopkins","year":"2020","journal-title":"J Neurosurg Spine"},{"issue":"7","key":"10.1016\/j.spinee.2021.08.002_bib0018","doi-asserted-by":"crossref","first-page":"1690","DOI":"10.1007\/s00586-019-05937-y","article-title":"A validated preoperative score for predicting 30-day readmission after 1\u20132 level elective posterior lumbar fusion","volume":"28","author":"Jain","year":"2019","journal-title":"Eur Spine J"},{"key":"10.1016\/j.spinee.2021.08.002_bib0019","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.jbi.2017.07.012","article-title":"Natural language processing systems for capturing and standardizing unstructured clinical information: a systematic review","volume":"73","author":"Kreimeyer","year":"2017","journal-title":"J Biomed Inform"}],"container-title":["The Spine Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1529943021008524?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1529943021008524?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,4,3]],"date-time":"2023-04-03T15:29:40Z","timestamp":1680535780000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1529943021008524"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2]]},"references-count":19,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["S1529943021008524"],"URL":"https:\/\/doi.org\/10.1016\/j.spinee.2021.08.002","relation":{},"ISSN":["1529-9430"],"issn-type":[{"value":"1529-9430","type":"print"}],"subject":[],"published":{"date-parts":[[2022,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?","name":"articletitle","label":"Article Title"},{"value":"The Spine Journal","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.spinee.2021.08.002","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}