A cost-effectiveness analysis of the integration of robotic spine technology in spine surgery
We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice. The time of operative procedures, infection rates, revision rates, length of stay, and possible conversion of open to minimally invasive spine surgery (MIS) secondary to robotic i...
Uloženo v:
| Vydáno v: | Neurospine Ročník 15; číslo 3; s. 216 - 224 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Korea (South)
Korean Spinal Neurosurgery Society
01.09.2018
대한척추신경외과학회 |
| Témata: | |
| ISSN: | 2586-6583, 2586-6591 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice.
The time of operative procedures, infection rates, revision rates, length of stay, and possible conversion of open to minimally invasive spine surgery (MIS) secondary to robotic image guidance technology were calculated using a combination of institution-specific and national data points. This cost matrix was subsequently applied to 1 year of elective clinical case volume at an academic practice with regard to payor mix, procedural mix, and procedural revenue.
A total of 1,985 elective cases were analyzed over a 1-year period; of these, 557 thoracolumbar cases (28%) were analyzed. Fifty-eight (10.4%) were MIS fusions. Independent review determined an additional ~10% cases (50) to be candidates for MIS fusion. Furthermore, 41.4% patients had governmental insurance, while 58.6% had commercial insurance. The weighted average diagnosis-related group reimbursement for thoracolumbar procedures for the hospital system was calculated to be $25,057 for Medicare and $42,096 for commercial insurance. Time savings averaged 3.4 minutes per 1-level MIS procedure with robotic technology, resulting in annual savings of $5,713. Improved pedicle screw accuracy secondary to robotic technology would have resulted in 9.47 revisions being avoided, with cost savings of $314,661. Under appropriate payor mix components, robotic technology would have converted 31 Medicare and 18 commercial patients from open to MIS. This would have resulted in 140 fewer total hospital admission days ($251,860) and avoided 2.3 infections ($36,312). Robotic surgery resulted in immediate conservative savings estimate of $608,546 during a 1-year period at an academic center performing 557 elective thoracolumbar instrumentation cases.
Application of robotic spine surgery is cost-effective, resulting in lesser revision surgery, lower infection rates, reduced length of stay, and shorter operative time. Further research is warranted, evaluating the financial impact of robotic spine surgery. |
|---|---|
| AbstractList | We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice.
The time of operative procedures, infection rates, revision rates, length of stay, and possible conversion of open to minimally invasive spine surgery (MIS) secondary to robotic image guidance technology were calculated using a combination of institution-specific and national data points. This cost matrix was subsequently applied to 1 year of elective clinical case volume at an academic practice with regard to payor mix, procedural mix, and procedural revenue.
A total of 1,985 elective cases were analyzed over a 1-year period; of these, 557 thoracolumbar cases (28%) were analyzed. Fifty-eight (10.4%) were MIS fusions. Independent review determined an additional ~10% cases (50) to be candidates for MIS fusion. Furthermore, 41.4% patients had governmental insurance, while 58.6% had commercial insurance. The weighted average diagnosis-related group reimbursement for thoracolumbar procedures for the hospital system was calculated to be $25,057 for Medicare and $42,096 for commercial insurance. Time savings averaged 3.4 minutes per 1-level MIS procedure with robotic technology, resulting in annual savings of $5,713. Improved pedicle screw accuracy secondary to robotic technology would have resulted in 9.47 revisions being avoided, with cost savings of $314,661. Under appropriate payor mix components, robotic technology would have converted 31 Medicare and 18 commercial patients from open to MIS. This would have resulted in 140 fewer total hospital admission days ($251,860) and avoided 2.3 infections ($36,312). Robotic surgery resulted in immediate conservative savings estimate of $608,546 during a 1-year period at an academic center performing 557 elective thoracolumbar instrumentation cases.
Application of robotic spine surgery is cost-effective, resulting in lesser revision surgery, lower infection rates, reduced length of stay, and shorter operative time. Further research is warranted, evaluating the financial impact of robotic spine surgery. Objective We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice. Methods The time of operative procedures, infection rates, revision rates, length of stay, and possible conversion of open to minimally invasive spine surgery (MIS) secondary to robotic image guidance technology were calculated using a combination of institution-specific and national data points. This cost matrix was subsequently applied to 1 year of elective clinical case volume at an academic practice with regard to payor mix, procedural mix, and procedural revenue. Results A total of 1,985 elective cases were analyzed over a 1-year period; of these, 557 thoracolumbar cases (28%) were analyzed. Fifty-eight (10.4%) were MIS fusions. Independent review determined an additional ~10% cases (50) to be candidates for MIS fusion. Furthermore, 41.4% patients had governmental insurance, while 58.6% had commercial insurance. The weighted average diagnosis-related group reimbursement for thoracolumbar procedures for the hospital system was calculated to be $25,057 for Medicare and $42,096 for commercial insurance. Time savings averaged 3.4 minutes per 1-level MIS procedure with robotic technology, resulting in annual savings of $5,713. Improved pedicle screw accuracy secondary to robotic technology would have resulted in 9.47 revisions being avoided, with cost savings of $314,661. Under appropriate payor mix components, robotic technology would have converted 31 Medicare and 18 commercial patients from open to MIS. This would have resulted in 140 fewer total hospital admission days ($251,860) and avoided 2.3 infections ($36,312). Robotic surgery resulted in immediate conservative savings estimate of $608,546 during a 1-year period at an academic center performing 557 elective thoracolumbar instrumentation cases. Conclusion Application of robotic spine surgery is cost-effective, resulting in lesser revision surgery, lower infection rates, reduced length of stay, and shorter operative time. Further research is warranted, evaluating the financial impact of robotic spine surgery. Objective: We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice. Methods: The time of operative procedures, infection rates, revision rates, length of stay, and possible conversion of open to minimally invasive spine surgery (MIS) secondary to robotic image guidance technology were calculated using a combination of institution-specific and national data points. This cost matrix was subsequently applied to 1 year of elective clinical case volume at an academic practice with regard to payor mix, procedural mix, and procedural revenue. Results: A total of 1,985 elective cases were analyzed over a 1-year period; of these, 557 thoracolumbar cases (28%) were analyzed. Fifty-eight (10.4%) were MIS fusions. Independent review determined an additional ~10% cases (50) to be candidates for MIS fusion. Furthermore, 41.4% patients had governmental insurance, while 58.6% had commercial insurance. The weighted average diagnosis-related group reimbursement for thoracolumbar procedures for the hospital system was calculated to be $25,057 for Medicare and $42,096 for commercial insurance. Time savings averaged 3.4 minutes per 1-level MIS procedure with robotic technology, resulting in annual savings of $5,713. Improved pedicle screw accuracy secondary to robotic technology would have resulted in 9.47 revisions being avoided, with cost savings of $314,661. Under appropriate payor mix components, robotic technology would have converted 31 Medicare and 18 commercial patients from open to MIS. This would have resulted in 140 fewer total hospital admission days ($251,860) and avoided 2.3 infections ($36,312). Robotic surgery resulted in immediate conservative savings estimate of $608,546 during a 1-year period at an academic center performing 557 elective thoracolumbar instrumentation cases. Conclusion: Application of robotic spine surgery is cost-effective, resulting in lesser revision surgery, lower infection rates, reduced length of stay, and shorter operative time. Further research is warranted, evaluating the financial impact of robotic spine surgery. KCI Citation Count: 19 We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice.OBJECTIVEWe investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice.The time of operative procedures, infection rates, revision rates, length of stay, and possible conversion of open to minimally invasive spine surgery (MIS) secondary to robotic image guidance technology were calculated using a combination of institution-specific and national data points. This cost matrix was subsequently applied to 1 year of elective clinical case volume at an academic practice with regard to payor mix, procedural mix, and procedural revenue.METHODSThe time of operative procedures, infection rates, revision rates, length of stay, and possible conversion of open to minimally invasive spine surgery (MIS) secondary to robotic image guidance technology were calculated using a combination of institution-specific and national data points. This cost matrix was subsequently applied to 1 year of elective clinical case volume at an academic practice with regard to payor mix, procedural mix, and procedural revenue.A total of 1,985 elective cases were analyzed over a 1-year period; of these, 557 thoracolumbar cases (28%) were analyzed. Fifty-eight (10.4%) were MIS fusions. Independent review determined an additional ~10% cases (50) to be candidates for MIS fusion. Furthermore, 41.4% patients had governmental insurance, while 58.6% had commercial insurance. The weighted average diagnosis-related group reimbursement for thoracolumbar procedures for the hospital system was calculated to be $25,057 for Medicare and $42,096 for commercial insurance. Time savings averaged 3.4 minutes per 1-level MIS procedure with robotic technology, resulting in annual savings of $5,713. Improved pedicle screw accuracy secondary to robotic technology would have resulted in 9.47 revisions being avoided, with cost savings of $314,661. Under appropriate payor mix components, robotic technology would have converted 31 Medicare and 18 commercial patients from open to MIS. This would have resulted in 140 fewer total hospital admission days ($251,860) and avoided 2.3 infections ($36,312). Robotic surgery resulted in immediate conservative savings estimate of $608,546 during a 1-year period at an academic center performing 557 elective thoracolumbar instrumentation cases.RESULTSA total of 1,985 elective cases were analyzed over a 1-year period; of these, 557 thoracolumbar cases (28%) were analyzed. Fifty-eight (10.4%) were MIS fusions. Independent review determined an additional ~10% cases (50) to be candidates for MIS fusion. Furthermore, 41.4% patients had governmental insurance, while 58.6% had commercial insurance. The weighted average diagnosis-related group reimbursement for thoracolumbar procedures for the hospital system was calculated to be $25,057 for Medicare and $42,096 for commercial insurance. Time savings averaged 3.4 minutes per 1-level MIS procedure with robotic technology, resulting in annual savings of $5,713. Improved pedicle screw accuracy secondary to robotic technology would have resulted in 9.47 revisions being avoided, with cost savings of $314,661. Under appropriate payor mix components, robotic technology would have converted 31 Medicare and 18 commercial patients from open to MIS. This would have resulted in 140 fewer total hospital admission days ($251,860) and avoided 2.3 infections ($36,312). Robotic surgery resulted in immediate conservative savings estimate of $608,546 during a 1-year period at an academic center performing 557 elective thoracolumbar instrumentation cases.Application of robotic spine surgery is cost-effective, resulting in lesser revision surgery, lower infection rates, reduced length of stay, and shorter operative time. Further research is warranted, evaluating the financial impact of robotic spine surgery.CONCLUSIONApplication of robotic spine surgery is cost-effective, resulting in lesser revision surgery, lower infection rates, reduced length of stay, and shorter operative time. Further research is warranted, evaluating the financial impact of robotic spine surgery. |
| Author | Menger, Richard Philip Farokhi, Frank Savardekar, Amey R. Sin, Anthony |
| Author_xml | – sequence: 1 givenname: Richard Philip orcidid: 0000-0002-6426-2187 surname: Menger fullname: Menger, Richard Philip – sequence: 2 givenname: Amey R. surname: Savardekar fullname: Savardekar, Amey R. – sequence: 3 givenname: Frank surname: Farokhi fullname: Farokhi, Frank – sequence: 4 givenname: Anthony surname: Sin fullname: Sin, Anthony |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30157583$$D View this record in MEDLINE/PubMed https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002386571$$DAccess content in National Research Foundation of Korea (NRF) |
| BookMark | eNp1UktvEzEQtlARLaFnbmiPcNh0_cz6ghRVPCJVQkLliuX1jjemGzvYTqX8G34Lvwxnk1YUidOMZr7HjGZeojMfPCD0GjdzzAjjVz7NcUtF05J5w_AzdEF4K2rBJT57zFt6ji5Tcl3D2IIzSvELdE4bzBeldYG-L3__MiHlGqwFk909eEip0l6P--RSFWyV11A5n2GIOrvgD6UYupCdqdLWeagymLUPYxj2BXeqpV0cIO5foedWjwkuT3GGvn38cHv9ub758ml1vbypDecy172VhtGOWsw4EwYwaalsNO5oQ3tBdK87IqWwnbQYm44yS2HBGFDMbSsXhM7Qu6Ouj1bdGaeCdlMcgrqLavn1dqXoQrCyd8Gujtg-6B9qG91Gx_1EmAohDkrHst0IivYSt9wyq_uemUMugXBLiBRGHwaZofdHre2u20BvwOeoxyeiTzverctM90oQIjA5DPP2JBDDzx2krDYuGRhH7SHskiKNLIdqGcYF-uZvr0eTh2MWAD8CTAwpRbDKuDzdrFi7UeFGTX-jfFKnv1Hlbwrv6h_eg_T_GH8AkBbGWQ |
| CitedBy_id | crossref_primary_10_1097_BRS_0000000000004827 crossref_primary_10_1016_j_jcot_2020_04_034 crossref_primary_10_1016_j_wneu_2024_07_030 crossref_primary_10_1002_rcs_2442 crossref_primary_10_1016_j_wneu_2024_01_126 crossref_primary_10_1016_j_xnsj_2025_100769 crossref_primary_10_3390_jcm10071385 crossref_primary_10_1007_s10143_022_01916_y crossref_primary_10_1016_j_wneu_2021_11_099 crossref_primary_10_1002_ksa_12523 crossref_primary_10_1007_s11701_023_01815_4 crossref_primary_10_1016_j_mayocp_2020_07_034 crossref_primary_10_1016_j_wneu_2022_03_121 crossref_primary_10_3390_medicina60030378 crossref_primary_10_1002_rcs_2182 crossref_primary_10_2106_JBJS_22_00022 crossref_primary_10_1016_j_wneu_2023_10_049 crossref_primary_10_1016_j_ocl_2022_11_008 crossref_primary_10_1186_s13018_024_04848_z crossref_primary_10_1016_j_wneu_2020_06_188 crossref_primary_10_1055_s_0045_1806858 crossref_primary_10_1016_j_wneu_2024_08_018 crossref_primary_10_1016_j_spinee_2025_08_325 crossref_primary_10_5435_JAAOS_D_24_00692 crossref_primary_10_7759_cureus_49061 crossref_primary_10_1016_j_wneu_2025_124109 crossref_primary_10_1016_j_wneu_2021_12_112 crossref_primary_10_3171_CASE22114 crossref_primary_10_1007_s10143_025_03735_3 crossref_primary_10_1097_BTO_0000000000000441 crossref_primary_10_1186_s12913_024_10777_8 crossref_primary_10_1007_s12178_019_09558_2 crossref_primary_10_1016_j_jocn_2021_10_034 crossref_primary_10_21182_jmisst_2024_01508 crossref_primary_10_1093_ons_opaa405 crossref_primary_10_5435_JAAOSGlobal_D_22_00137 crossref_primary_10_1016_j_jocn_2021_12_027 crossref_primary_10_1016_j_spinee_2025_05_027 crossref_primary_10_1016_j_wneu_2020_05_132 crossref_primary_10_1016_j_semss_2022_100988 crossref_primary_10_1111_os_14244 crossref_primary_10_1227_NEU_0000000000001794 crossref_primary_10_1007_s43390_024_00879_y crossref_primary_10_1016_j_xnsj_2024_100519 crossref_primary_10_1177_2192568219878131 crossref_primary_10_7759_cureus_92337 crossref_primary_10_1016_j_spinee_2025_07_014 crossref_primary_10_1097_BRS_0000000000004357 crossref_primary_10_1227_ons_0000000000000347 crossref_primary_10_3389_fbioe_2025_1491775 crossref_primary_10_1177_15563316211026647 crossref_primary_10_1016_j_wneu_2020_12_095 crossref_primary_10_1016_j_bas_2024_104165 crossref_primary_10_1186_s12893_025_02890_0 crossref_primary_10_1016_j_spinee_2024_05_013 crossref_primary_10_1097_br9_0000000000000006 crossref_primary_10_1371_journal_pone_0260460 crossref_primary_10_1016_j_wneu_2024_07_067 crossref_primary_10_1097_01_CSS_0000816628_81861_9e crossref_primary_10_1007_s11701_023_01682_z crossref_primary_10_1016_j_clineuro_2024_108393 crossref_primary_10_1007_s43390_020_00180_8 crossref_primary_10_1007_s00586_023_07663_y crossref_primary_10_1016_j_wneu_2024_08_051 crossref_primary_10_7759_cureus_51963 crossref_primary_10_1016_j_nec_2023_11_005 crossref_primary_10_1007_s12178_019_09560_8 crossref_primary_10_1097_MD_0000000000039261 crossref_primary_10_1007_s00264_022_05508_9 crossref_primary_10_1097_BRS_0000000000003915 crossref_primary_10_1016_j_spinee_2020_09_007 crossref_primary_10_1177_2192568220905883 crossref_primary_10_1097_MD_0000000000021064 crossref_primary_10_1007_s10143_023_02027_y crossref_primary_10_1002_rcs_2143 crossref_primary_10_1186_s12893_025_02940_7 crossref_primary_10_1097_BRS_0000000000004288 crossref_primary_10_3390_jcm10245725 crossref_primary_10_7759_cureus_68502 crossref_primary_10_2106_JBJS_CC_25_00257 crossref_primary_10_1007_s10237_022_01636_8 crossref_primary_10_3390_jcm12216741 crossref_primary_10_1097_01_CSS_0000656036_29415_27 crossref_primary_10_3390_robotics12010001 crossref_primary_10_1016_j_wneu_2022_07_083 crossref_primary_10_1016_j_wneu_2020_01_119 crossref_primary_10_1177_2192568220907896 crossref_primary_10_1007_s00586_024_08273_y crossref_primary_10_1097_JS9_0000000000000720 crossref_primary_10_1002_rcs_2555 crossref_primary_10_1142_S0218957725720017 crossref_primary_10_1016_j_wneu_2021_01_133 crossref_primary_10_3390_medicina60122112 crossref_primary_10_1016_j_wneu_2025_123721 crossref_primary_10_1177_2192568220971288 crossref_primary_10_1097_IO9_0000000000000139 crossref_primary_10_1016_j_clineuro_2021_106698 crossref_primary_10_1016_j_jocn_2021_07_037 crossref_primary_10_1016_j_wneu_2019_06_207 crossref_primary_10_1016_j_jor_2023_08_007 |
| Cites_doi | 10.3171/2017.2.FOCUS16544 10.1007/s00586-015-3758-8 10.1097/BRS.0000000000001778 10.1097/BRS.0b013e3181d323ab 10.1007/s00586-009-1258-4 10.3171/2017.5.FOCUS17188 10.1097/00115514-201411000-00005 10.3171/2017.3.FOCUS179 10.1016/j.juro.2011.11.089 10.1097/BRS.0000000000001482 10.1097/SLA.0b013e3181e6239e 10.1227/NEU.0b013e318270d02c 10.1007/s00586-011-2011-3 10.1016/j.wneu.2013.01.041 10.3171/2012.5.SPINE11399 10.2174/1874325001004010228 10.4103/0972-9941.195565 10.1093/neuros/nyw077 10.1111/1475-6773.12151 10.1097/BRS.0000000000001022 10.3171/2017.3.FOCUS16534 10.1097/BRS.0000000000001731 10.3171/2015.2.SPINE14973 10.3171/2016.5.JNS152135 10.1002/rcs.1779 10.1007/s00586-011-1729-2 10.1097/00007632-199001000-00004 10.1097/BRS.0b013e31824b7767 10.1111/j.1464-410X.2011.10114.x 10.1007/s12178-016-9352-9 10.3171/2011.1.SPINE10571 10.1097/BRS.0000000000001846 10.1016/j.jclinane.2010.02.003 10.3171/2017.2.FOCUS16552 |
| ContentType | Journal Article |
| Copyright | Copyright © 2018 by the Korean Spinal Neurosurgery Society 2018 |
| Copyright_xml | – notice: Copyright © 2018 by the Korean Spinal Neurosurgery Society 2018 |
| DBID | AAYXX CITATION NPM 7X8 5PM DOA ACYCR |
| DOI | 10.14245/ns.1836082.041 |
| DatabaseName | CrossRef PubMed MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals Korean Citation Index |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitleList | PubMed MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 2586-6591 |
| EndPage | 224 |
| ExternalDocumentID | oai_kci_go_kr_ARTI_3764015 oai_doaj_org_article_3d9185f4fadd4c91859e25f2296ca1cb PMC6226125 30157583 10_14245_ns_1836082_041 |
| Genre | Journal Article |
| GroupedDBID | AAYXX ABDBF ADBBV ALMA_UNASSIGNED_HOLDINGS AOIJS BCNDV CITATION GROUPED_DOAJ HYE PGMZT RPM M~E NPM 7X8 5PM ACYCR |
| ID | FETCH-LOGICAL-c559t-df9c43b3f14546ce128390a1b303d62adab2996fb9f11cb34f3e744e315f89723 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 125 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000455720800005&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2586-6583 |
| IngestDate | Sun Mar 09 07:54:21 EDT 2025 Fri Oct 03 12:53:21 EDT 2025 Thu Aug 21 14:01:30 EDT 2025 Fri Jul 11 10:19:08 EDT 2025 Thu Jan 02 22:40:00 EST 2025 Sat Nov 29 03:16:07 EST 2025 Tue Nov 18 21:53:01 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Keywords | Cost effectiveness Robotic spine surgery Cost analysis |
| Language | English |
| License | This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c559t-df9c43b3f14546ce128390a1b303d62adab2996fb9f11cb34f3e744e315f89723 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0002-6426-2187 |
| OpenAccessLink | https://doaj.org/article/3d9185f4fadd4c91859e25f2296ca1cb |
| PMID | 30157583 |
| PQID | 2097588411 |
| PQPubID | 23479 |
| PageCount | 9 |
| ParticipantIDs | nrf_kci_oai_kci_go_kr_ARTI_3764015 doaj_primary_oai_doaj_org_article_3d9185f4fadd4c91859e25f2296ca1cb pubmedcentral_primary_oai_pubmedcentral_nih_gov_6226125 proquest_miscellaneous_2097588411 pubmed_primary_30157583 crossref_citationtrail_10_14245_ns_1836082_041 crossref_primary_10_14245_ns_1836082_041 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-09-01 |
| PublicationDateYYYYMMDD | 2018-09-01 |
| PublicationDate_xml | – month: 09 year: 2018 text: 2018-09-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Korea (South) |
| PublicationPlace_xml | – name: Korea (South) |
| PublicationTitle | Neurospine |
| PublicationTitleAlternate | Neurospine |
| PublicationYear | 2018 |
| Publisher | Korean Spinal Neurosurgery Society 대한척추신경외과학회 |
| Publisher_xml | – name: Korean Spinal Neurosurgery Society – name: 대한척추신경외과학회 |
| References | ref35 ref12 ref34 ref15 ref37 ref14 ref36 ref31 ref30 ref11 ref33 ref32 (ref7) 2016 Vaccaro (ref10) 2017 ref2 ref1 Kim (ref39) 2017 ref16 ref38 ref19 Kaplan (ref20) 2011 Menger (ref13) 2014 Ellison (ref17) ref24 ref23 ref25 Schizas (ref26) 2012 ref42 ref41 ref22 ref21 ref28 ref27 ref29 (ref8) 2015 ref9 ref4 ref3 ref6 (ref18) 2001 ref5 ref40 |
| References_xml | – ident: ref1 doi: 10.3171/2017.2.FOCUS16544 – ident: ref28 doi: 10.1007/s00586-015-3758-8 – ident: ref40 doi: 10.1097/BRS.0000000000001778 – ident: ref42 doi: 10.1097/BRS.0b013e3181d323ab – volume-title: Medicare hospital prospective payment system - How DRG rates are calculated and updated [Internet] year: 2001 ident: ref18 – ident: ref34 doi: 10.1007/s00586-009-1258-4 – ident: ref31 doi: 10.3171/2017.5.FOCUS17188 – ident: ref3 doi: 10.1097/00115514-201411000-00005 – ident: ref37 doi: 10.3171/2017.3.FOCUS179 – ident: ref5 doi: 10.1016/j.juro.2011.11.089 – ident: ref29 doi: 10.1097/BRS.0000000000001482 – ident: ref21 doi: 10.1097/SLA.0b013e3181e6239e – ident: ref24 doi: 10.1227/NEU.0b013e318270d02c – volume-title: The big idea: how to solve the cost crisis in health care [Internet] year: 2011 ident: ref20 – ident: ref35 doi: 10.1007/s00586-011-2011-3 – volume-title: In vitro analysis of accuracy, dosage, and surgical time required for pedicle screw placement using convention percutaneous screw and robotic-assisted screw techniques year: 2017 ident: ref10 – ident: ref32 doi: 10.1016/j.wneu.2013.01.041 – ident: ref36 doi: 10.3171/2012.5.SPINE11399 – ident: ref12 doi: 10.2174/1874325001004010228 – ident: ref22 doi: 10.4103/0972-9941.195565 – ident: ref23 doi: 10.1093/neuros/nyw077 – ident: ref19 doi: 10.1111/1475-6773.12151 – ident: ref2 doi: 10.1097/BRS.0000000000001022 – ident: ref11 doi: 10.3171/2017.3.FOCUS16534 – ident: ref30 doi: 10.1097/BRS.0000000000001731 – ident: ref16 doi: 10.3171/2015.2.SPINE14973 – ident: ref6 doi: 10.3171/2016.5.JNS152135 – volume-title: A prospective, randomized, controlled trial of robot-assisted vs freehand pedicle screw fixation in spine surgery year: 2017 ident: ref39 doi: 10.1002/rcs.1779 – ident: ref25 doi: 10.1007/s00586-011-1729-2 – volume-title: Average cost per inpatient day across 50 states [Internet] ident: ref17 – start-page: 240 volume-title: Pedicle screw insertion: robotic assistance versus conventional C-arm fluoroscopy year: 2012 ident: ref26 – ident: ref38 doi: 10.1097/00007632-199001000-00004 – volume-title: National Comparisons of Commercial and Medicare Fee-For-Service Payments to Hospitals [Internet] year: 2016 ident: ref7 – ident: ref27 doi: 10.1097/BRS.0b013e31824b7767 – ident: ref4 doi: 10.1111/j.1464-410X.2011.10114.x – ident: ref14 doi: 10.1007/s12178-016-9352-9 – ident: ref15 doi: 10.3171/2011.1.SPINE10571 – ident: ref33 doi: 10.1097/BRS.0000000000001846 – ident: ref9 doi: 10.1016/j.jclinane.2010.02.003 – volume-title: U.S. Government Publishing Office [Internet] year: 2015 ident: ref8 – volume-title: Retrospective analysis of durotomy and surgical site infection rates in minimally invasive transforaminal lumbar interbody fusion year: 2014 ident: ref13 – ident: ref41 doi: 10.3171/2017.2.FOCUS16552 |
| SSID | ssib044754331 ssj0002002413 |
| Score | 2.4572818 |
| Snippet | We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice.
The time of operative procedures,... We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice.OBJECTIVEWe investigate the... Objective We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice. Methods The time of... Objective: We investigate the cost-effectiveness of adding robotic technology in spine surgery to an active neurosurgical practice. Methods: The time of... |
| SourceID | nrf doaj pubmedcentral proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 216 |
| SubjectTerms | Cost analysis Cost effectiveness Original Robotic spine surgery 신경외과학 |
| Title | A cost-effectiveness analysis of the integration of robotic spine technology in spine surgery |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/30157583 https://www.proquest.com/docview/2097588411 https://pubmed.ncbi.nlm.nih.gov/PMC6226125 https://doaj.org/article/3d9185f4fadd4c91859e25f2296ca1cb https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002386571 |
| Volume | 15 |
| WOSCitedRecordID | wos000455720800005&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| ispartofPNX | Neurospine, 2018, 15(3), , pp.216-224 |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2586-6591 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002002413 issn: 2586-6583 databaseCode: DOA dateStart: 20040101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2586-6591 dateEnd: 99991231 omitProxy: false ssIdentifier: ssib044754331 issn: 2586-6583 databaseCode: M~E dateStart: 20180101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB5BxYELAvEKj8ogDlzcxo8k9rFUreiBClGQ9oKs2LFhVZRUu1uO_HZmEu-yi0BcuCSR40T2zNjfTGJ_A_AKYwZltPWc0J3rpqq5NVrwWPrOq8742JZjsonm_NzMZvb9VqovWhM20QNPgjtUnUVISTrhQNSBrm2UVZLS1qEVwdPsi17PVjCFlkQsdrQVaPO1hZYi6DFXsqxMzRF2Veb5oT9_h6hfQbsZjDwotdiBqJHJH4GnX6Q_OaG_r6XcAqfTu3Ane5XsaOrNPbgR-_vw-YgdD8sVnwiK86zG1iwkbEgMnT92lvkiUD9U9GHwA76EXVyh-8l-fXhn8z6XXUwbqR_Ap9OTj8dvec6mwANGDSveJRu08ioJXek6RAQmZctWeASxrpZt13qEpjp5mwTKVemkYqN1VKJKhnKTPYS9fujjY2AhoGNIzF0Yu-jOS29V3WlTtRoDSG_LAg7WAnQhU41TxotvjkIOkrjrly5L3KHEC3i9eeBqYtn4e9U3pJFNNaLHHgvQaFw2GvcvoyngJerTXYb5-DydvwzucuEwiDhzOOdi1FkV8GKtbodjjn6ktH0crpdOlrahDb4CW_NoUv-mPThhogdsVAHNjmHsNHj3Tj__OvJ615L43Kon_6OHT-E2unZmWg33DPZWi-v4HG6F76v5crEPN5uZ2R-HDB7f_Tj5CQuhFj4 |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Cost-Effectiveness+Analysis+of+the+Integration+of+Robotic+Spine+Technology+in+Spine+Surgery&rft.jtitle=Neurospine&rft.au=Menger%2C+Richard+Philip&rft.au=Savardekar%2C+Amey+R&rft.au=Farokhi%2C+Frank&rft.au=Sin%2C+Anthony&rft.date=2018-09-01&rft.issn=2586-6583&rft.volume=15&rft.issue=3&rft.spage=216&rft_id=info:doi/10.14245%2Fns.1836082.041&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2586-6583&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2586-6583&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2586-6583&client=summon |