Evidence map›Paper›PMID 36705946›Full record

ArticleJMIR medical informatics2023

Unique Device Identification-Based Linkage of Hierarchically Accessible Data Domains in Prospective Surgical Hospital Data Ecosystems: User-Centered Design Approach.

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

Abstract read
In one paragraph

Article in JMIR medical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Karol KozakCenter for Evidence-Based Healthcare, Technische Universität Dresden, Dresden, Germany.ORCID https://orcid.org/0000-0002-2773-136X
André SeidelFraunhofer Institute for Machine Tools and Forming Technology IWU, Dresden, Germany.ORCID https://orcid.org/0000-0002-9170-4833
Nataliia MatvieievaFraunhofer Institute for Machine Tools and Forming Technology IWU, Dresden, Germany.ORCID https://orcid.org/0000-0002-3849-6262
Constanze NeupetschFraunhofer Institute for Machine Tools and Forming Technology IWU, Dresden, Germany.ORCID https://orcid.org/0000-0003-4950-8721
Uwe TeicherFraunhofer Institute for Machine Tools and Forming Technology IWU, Dresden, Germany.ORCID https://orcid.org/0000-0002-7061-4687
Gordon LemmeFraunhofer Institute for Machine Tools and Forming Technology IWU, Dresden, Germany.ORCID https://orcid.org/0000-0002-8781-9179
Anas Ben AchourFraunhofer Institute for Machine Tools and Forming Technology IWU, Dresden, Germany.ORCID https://orcid.org/0000-0001-7053-847X
Martin BarthFraunhofer Institute for Ceramic Technologies and Systems IKTS, Dresden, Germany.ORCID https://orcid.org/0000-0002-4685-7435
Steffen IhlenfeldtFraunhofer Institute for Machine Tools and Forming Technology IWU, Dresden, Germany.ORCID https://orcid.org/0000-0002-9258-5178
Welf-Guntram DrosselFraunhofer Institute for Machine Tools and Forming Technology IWU, Dresden, Germany.ORCID https://orcid.org/0000-0002-8504-4584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe electronic health record (EHR) targets systematized collection of patient-specific, electronically stored health data. The EHR is an evolving concept driven by ongoing developments and open or unclear legal issues concerning medical technologies, cross-domain data integration, and unclear access roles. Consequently, an interdisciplinary discourse based on representative pilot scenarios is required to connect previously unconnected domains.

objectiveWe address cross-domain data integration including access control using the specific example of a unique device identification (UDI)-expanded hip implant. In fact, the integration of technical focus data into the hospital information system (HIS) is considered based on surgically relevant information. Moreover, the acquisition of social focus data based on mobile health (mHealth) is addressed, covering data integration and networking with therapeutic intervention and acute diagnostics data.

methodsIn addition to the additive manufacturing of a hip implant with the integration of a UDI, we built a database that combines database technology and a wrapper layer known from extract, transform, load systems and brings it into a SQL database, WEB application programming interface (API) layer (back end), interface layer (rest API), and front end. It also provides semantic integration through connection mechanisms between data elements.

resultsA hip implant is approached by design, production, and verification while linking operation-relevant specifics like implant-bone fit by merging patient-specific image material (computed tomography, magnetic resonance imaging, or a biomodel) and the digital implant twin for well-founded selection pairing. This decision-facilitating linkage, which improves surgical planning, relates to patient-specific postoperative influencing factors during the healing phase. A unique product identification approach is presented, allowing a postoperative read-out with state-of-the-art hospital technology while enabling future access scenarios for patient and implant data. The latter was considered from the manufacturing perspective using the process manufacturing chain for a (patient-specific) implant to identify quality-relevant data for later access. In addition, sensor concepts were identified to use to monitor the patient-implant interaction during the healing phase using wearables, for example. A data aggregation and integration concept for heterogeneous data sources from the considered focus domains is also presented. Finally, a hierarchical data access concept is shown, protecting sensitive patient data from misuse using existing scenarios.

conclusionsPersonalized medicine requires cross-domain linkage of data, which, in turn, require an appropriate data infrastructure and adequate hierarchical data access solutions in a shared and federated data space. The hip implant is used as an example for the usefulness of cross-domain data linkage since it bundles social, medical, and technical aspects of the implantation. It is necessary to open existing databases using interfaces for secure integration of data from end devices and to assure availability through suitable access models while guaranteeing long-term, independent data persistence. A suitable strategy requires the combination of technical solutions from the areas of identity and trust, federated data storage, cryptographic procedures, and software engineering as well as organizational changes.

Indexed as

cyber-physical production systemsdata integration ecosystemelectronic health recordhierarchical data accessmHealthshell embedded role modelunique device identification

Identifiers

PMID36705946
PMCPMC9919462

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.