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  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (5)
  • Blackwell Science Inc  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Does Robotic Technology Make Minimally Invasive Cardiac Surgery Too Expensive? A Hospital Cost Analysis of Robotic and Conventional Techniques (2005)
    350 Main Street , Malden , MA 02148-5020 , USA and 9600 Garsington Road , Oxford OX4 2XG , England . : Blackwell Science Inc
    Journal of cardiac surgery 20 (2005), S. 0 
    Details
    ISSN: 1540-8191
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Abstract  Background: While potential benefits of robotic technology include decreased morbidity and improved recovery, some have suggested a prohibitively high cost. This study was undertaken to compare actual hospital costs of robotically assisted cardiac procedures with conventional techniques. Methods: We conducted a retrospective review of clinical and financial data of 20 patients who underwent atrial septal defect (ASD) closure and 20 patients who underwent mitral valve repair (MVr) using either robotic techniques or a conventional approach with a sternotomy. Total hospital cost (actual resource consumption) was subdivided into operative and postoperative costs. Results: Robotic technology did not significantly increase total hospital cost for ASD closure or MVr (p = 0.518 and p = 0.539). However, when including the initial capital investment for the robot through amortization of institutional costs, total hospital cost was increased by $3,773 for robotic ASD closure and $3,444 for robotic MVr (p = 0.021 and p = 0.004). The major driver of cost for robotic cases (operating room time) decreased over time. Conclusions: Robotic technology did not significantly increase hospital cost. While the absolute cost for robotic surgery was higher than conventional techniques after taking into account the institutional cost of the robot, the major driver of cost for robotic procedures will likely continue to decrease, as the surgical team becomes increasingly familiar with robotic technology. Furthermore, other benefits, such as improvement in postoperative quality of life and more expeditious return to work may make a robotic approach cost-effective. Thus, it is possible that the benefits of robotic surgery may justify investment in this technology.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1540-8191.2005.200385.x
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    Paper (German National Licenses)
    Fulltext
  • 2
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    Epifauna counts from BOWLS moorings deployed and recovered from R/V Oceanus cruises OC1304A and OC1406B off the Coast of Oregon from 2013-2014 (BOWLS project) (2021)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-05-25
    Description: Dataset: BOWLS mooring epifauna counts
    Description: This dataset contains counts of epifaunal organism Phyla from BOWLS moorings deployed in April of 2013 and recovered in June of 2014. Phyla sampled: Annelida, Arthropoda, Chaetognatha, Chordata, Cnidaria, Echinodermata, Kinorhynca, Mollusca, Nematoda, Nemertea, and Platyhelminthes. Also included are the mooring identifiers, substrate type (control, wood, whale-bone), latitude, longitude, depth, and deployment and recovery dates. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/676064
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155188, NSF Division of Ocean Sciences (NSF OCE) OCE-1155703
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Infauna counts from BoWLs moorings deployed and recovered from R/V Oceanus cruises OC1304A and OC1406B off the Coast of Oregon from 2013-2014 (BOWLS project) (2021)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-05-25
    Description: Dataset: BOWLS mooring infauna counts
    Description: This dataset contains counts of infaunal organism Phyla from BOWLS moorings deployed in April of 2013 and recovered in June of 2014. Phyla sampled: Annelida, Arthropoda,Chordata, Cnidaria, Echinodermata, Kinorhynca, Mollusca, Nemertea, and Platyhelminthes. Also included are the mooring identifiers, substrate type (control, wood, whale-bone), latitude, longitude, depth, and deployment and recovery dates. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/724434
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155188, NSF Division of Ocean Sciences (NSF OCE) OCE-1155703
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Metadata describing mooring deployment and recovery from R/V Oceanus cruises OC1304A and OC1406B off the Coast of Oregon from 2013-2014 (BOWLS project) (2021)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-05-25
    Description: Dataset: BOWLS Moorings
    Description: Metadata describing mooring deployment and recovery from R/V Oceanus cruises OC1304A and OC1406B off the Coast of Oregon from 2013-2014 (BOWLS project) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/568713
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155188, NSF Division of Ocean Sciences (NSF OCE) OCE-1155703
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
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    Metadata associated with genomic and genetic data collected from organisms obtained on BOWLs landers, R/V Oceanus June 22-27, 2014 (BOWLS project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    Description: Dataset: BOWLS sample log
    Description: Metadata associated with genomic and genetic data collected from organisms obtained on BOWLs landers, R/V Oceanus June 22-27, 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/662996
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155188
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Bulk isotopic composition (d15N and d13C) of abyssal megafauna and macrofauna from Stations M and Aloha (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-05-27
    Description: Dataset: Abyssal Bulk Isotope Analyses
    Description: This dataset includes bulk isotopic composition (d15N and d13C) of abyssal megafauna and macrofauna from Station M and Station Aloha. Macrofauna and megafauna were collected in May and October 2019 using the HOV Alvin and the ROV Doc Ricketts, respectively, at Station M and in July 2019, January 2020, and July 2020 using ROV Lu'ukai at Station Aloha. Macrofauna at Station M were collected using HOV-operated Ekman cores (20x20 cm). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/866774
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829612
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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