Can we automate spine fusion surgical site infection data capture?

Bauer, Jennifer M.; Welling, Sebastian E; Bettinger, Brendan

doi:10.1007/s43390-022-00610-9

Cited by 2 publications

(12 citation statements)

References 23 publications

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“…Despite the year of publication, we also observed the last year in which the study was conducted. We observed that most of the studies were conducted in 2019 (n = 7, [10,18,20,31,37,41,57]), followed by 2017 (n = 6, [14,22,23,33,44,55,56]), 2018 (n = 6, [17,28,32,34,42,43]), and 2020 (n = 6, [11,15,21,26,27,48]). Only a few studies were conducted in earlier and later years (2021 = 4 [18,24,40,46]; 2022 = 3 [29,30,39]; 2016 = 1 [16]; 2015 = 3 [35,36,38]; 2014 = 1 [19]; 2013 = 2 [12,49]; 2012 = 1 [45]; 2010 = 1 [13]; Unknown = 1 [47]).…”

Section: Description Of Studiesmentioning

confidence: 96%

“…For the 43 studies included in the analysis [55][56][57], most (n = 16) were published in the last year [11,15,17,18,20,21,26,[28][29][30]32,39,40,46,48,57], four in 2022 [24,31,34,42], six in 2021 [10,27,33,35,37,49], seven in 2020 [12,14,25,36,38,43,44], six in 2019 [13,22,23,41,55,56], and four in 2018 [16,19,45,47]. Despite the year of publication, we also observed the last year in which the study was conducted.…”

Section: Description Of Studiesmentioning

confidence: 99%

“…The mean duration of the studies was 43.7 months (median 38.5; IQR 12-68). The studies were conducted across multiple continents, with sixteen conducted in North America (fourteen in the US [10,14,16,17,19,20,23,34,38,42,[45][46][47]55] and two in Canada [26,35]); twenty-one in Europe (six in the UK, [24,27,29,30,36,57], four in Sweden [12,15,21,49], three in Germany [28,41,44], two in France [13,32] and Italy [37,43], and one each in the Netherlands [56], Spain [40], Norway [39], and Switzerland [11]); five in Asia (three in China [18,25,31], one in Pakistan [48], and one in Thailand [22]), and one in Africa (Rwanda [33]). The majority of studies were single-centre studies (n = 26, [10,11,1...…”

Section: Description Of Studiesmentioning

confidence: 99%

“…Among the studies, 19 reported data from more or all hospital wards [10][11][12][13]15,16,24,25,29,[34][35][36]39,41,[44][45][46]49,57], while the rest collected data from specific wards: sixteen from single surgical wards (one paediatric [43], seven orthopaedic [18,23,26,32,40,55,56], three abdominal [21,27,48], one cardiac [30], three neurosurgical [17,22,31], one gynaecology [33]); four from ICUs [19,28,37,42]; and four from other wards [14,20,38,47]. Among the studies, 19 reported data from more or all hospital wards [10][11][12][13]15,…”

Section: Description Of Studiesmentioning

confidence: 99%

“…Regarding study design, there were 29 retrospective studies [10][11][12][13]15,17,18,[20][21][22][23]25,28,31,32,34,[36][37][38][39][40][41][42][43][46][47][48][49]55], two case-control studies [16,35], six prospective studies [19,30,44,45,56,57], four cohort studies [14,24,26,29], one quasi-experimental study [33], and one randomized controlled trial [27].…”

Section: Description Of Studiesmentioning

confidence: 99%

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Innovative Techniques for Infection Control and Surveillance in Hospital Settings and Long-Term Care Facilities: A Scoping Review

Arzilli,

De Vita,

Pasquale

et al. 2024

Antibiotics

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Healthcare-associated infections (HAIs) pose significant challenges in healthcare systems, with preventable surveillance playing a crucial role. Traditional surveillance, although effective, is resource-intensive. The development of new technologies, such as artificial intelligence (AI), can support traditional surveillance in analysing an increasing amount of health data or meeting patient needs. We conducted a scoping review, following the PRISMA-ScR guideline, searching for studies of new digital technologies applied to the surveillance, control, and prevention of HAIs in hospitals and LTCFs published from 2018 to 4 November 2023. The literature search yielded 1292 articles. After title/abstract screening and full-text screening, 43 articles were included. The mean study duration was 43.7 months. Surgical site infections (SSIs) were the most-investigated HAI and machine learning was the most-applied technology. Three main themes emerged from the thematic analysis: patient empowerment, workload reduction and cost reduction, and improved sensitivity and personalization. Comparative analysis between new technologies and traditional methods showed different population types, with machine learning methods examining larger populations for AI algorithm training. While digital tools show promise in HAI surveillance, especially for SSIs, challenges persist in resource distribution and interdisciplinary integration in healthcare settings, highlighting the need for ongoing development and implementation strategies.

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Section: Description Of Studiesmentioning

confidence: 96%

Section: Description Of Studiesmentioning

confidence: 99%

Section: Description Of Studiesmentioning

confidence: 99%

Section: Description Of Studiesmentioning

confidence: 99%

Section: Description Of Studiesmentioning

confidence: 99%

See 3 more Smart Citations

Innovative Techniques for Infection Control and Surveillance in Hospital Settings and Long-Term Care Facilities: A Scoping Review

Arzilli,

De Vita,

Pasquale

et al. 2024

Antibiotics

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Automated surveillance for surgical site infections (SSI) in hospitals and surveillance networks–expert perspectives for implementation

Denkel,

Arnaud,

Brekelmans

et al. 2024

Antimicrob Resist Infect Control

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Background This work aims at providing practical recommendations for implementing automated surveillance (AS) of surgical site infections (SSI) in hospitals and surveillance networks. It also provides an overview of the steps, choices, and obstacles that need to be taken into consideration when implementing such surveillance. Hands-on experience with existing automated surveillance systems of SSI (AS SSI systems) in Denmark, France, the Netherlands and Spain is described regarding trend monitoring, benchmarking, quality control, and research for surveillance purposes. Methods Between April and October 2023, specific aspects/options of various surveillance purposes for AS SSI were identified during regular meetings of the SSI working group in the PRAISE (Providing a Roadmap for Automated Infection Surveillance in Europe) network. Expert discussions provided the basis for this perspective article. Results Decisions for implementation of AS SSI systems highly depend on the purpose of the surveillance. AS SSI systems presented here differ according to study population, setting, central or local implementation; the level of automation, design, and the data sources used. However, similarities were found for the rationales of automation, design principles and obstacles that were identified. There was consensus among all the experts that shortcomings in interoperability of databases, limited time, a want of commitment on the part of stakeholders, and a shortage of resources for information technology (IT) specialists represent the main obstacles for implementing AS SSI. To overcome obstacles, various solutions were reported, including training in the development of AS systems and the interpretation of AS SSI results, early consultation of end-users, and regular exchanges between management levels, IT departments, infection prevention and control (IPC) teams, and clinicians. Conclusion Clarity on the intended application (e.g. purpose of surveillance) and information on the availability of electronic and structured data are crucial first steps necessary for guiding decisions on the design of AS systems. Adequate resources for IT specialists and regular communication between management, IT departments, IPC teams, and clinicians were identified as essential for successful implementation. This perspective article may be helpful for a wider implementation of more homogeneous AS SSI systems in Europe.

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Can we automate spine fusion surgical site infection data capture?

Cited by 2 publications

References 23 publications

Innovative Techniques for Infection Control and Surveillance in Hospital Settings and Long-Term Care Facilities: A Scoping Review

Innovative Techniques for Infection Control and Surveillance in Hospital Settings and Long-Term Care Facilities: A Scoping Review

Automated surveillance for surgical site infections (SSI) in hospitals and surveillance networks–expert perspectives for implementation

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