Unique Device Identification Based Linkage of Hierarchically Accessible Data Domains in Prospective Hospital Data Ecosystems

Kozak, Karol; Seidel, André; Matvieieva, Nataliia; Neupetsch, Constanze; Teicher, Uwe; Lemme, Gordon; Achour, Anas Ben; Barth, Martin; Ihlenfeldt, Steffen; Drossel, Welf‐Guntram

doi:10.48550/arxiv.2202.13215

Cited by 1 publication

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“…For reasons of generalizability and extensibility, patient data, production data and the implant database should be integratable [ 14 ], so that the surgeon can determine which bone implant respective surgical methods are most suited for the treatment of different disorders. Subsequently, the database generates a dashboard and a report that helps the operating staff for the preparation of the surgery with the selected implants based on production features.…”

Section: Methodsmentioning

confidence: 99%

A Holistic Approach for the Identification of Success Factors in Secondary Cleft Osteoplasty

Schröder

Maiwald

Reinicke³

et al. 2022

JPM

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Cleft lip and palate belong to the most frequent craniofacial anomalies. Secondary osteoplasty is usually performed between 7 and 11 years with the closure of the osseus defect by autologous bone. Due to widespread occurrence of the defect in conjunction with its social significance due to possible esthetic impairments, the outcome of treatment is of substantial interest. The success of the treatment is determined by the precise rebuilding of the dental arch using autologous bone from the iliac crest. A detailed analysis of retrospective data disclosed a lack of essential and structured information to identify success factors for fast regeneration and specify the treatment. Moreover, according to the current status, no comparable process monitoring is possible during osteoplasty due to the lack of sensory systems. Therefore, a holistic approach was developed to determine the parameters for a successful treatment via the incorporation of patient data, the treatment sequences and sensor data gained by an attachable sensor module into a developed Dental Tech Space (DTS). This approach enables heterogeneous data sets to be linked inside of DTS, archiving and analysis, and is also for future considerations of respective patient-specific treatment plans.

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Section: Methodsmentioning

confidence: 99%