Najafi, Bijan

ABSTRACT The integration of Internet of Things devices in medicine has paved the way for novel diagnostic and therapeutic solutions that offer ‘smart’ capabilities, especially for at‐home wound monitoring. Such capabilities include increasing portability, diminished gaps in care through continuous analysis, and real‐time programmable manipulation of device parameters to intervene more rapidly. This scoping review explores the landscape of Internet of Things devices, including smart bandages, wearable and skin‐interfaced sensors, and mobile app‐connected devices, specifically designed for chronic wound monitoring in a remote, at‐home setting. We reviewed literature from PubMed, IEEE Xplore, Scopus, and Web of Science, using keywords related to Internet of Things and chronic wound care. The evaluation criteria focused on biomarkers analysed, Internet of Things connectivity technology, experimental models used for device validation, and unique device strengths or weaknesses. Our review identified 52 unique studies comprising 77 data entries across five biomarker categories: gas and oxygen saturation, pH, metabolic markers, biophysical parameters of the wound microenvironment, and molecular markers of inflammation or infection. These devices span a wide landscape of biomarkers analysed to predict and monitor wound recovery, with the potential to improve patient outcomes through personalised treatment and timely interventions. However, many devices were never validated clinically on humans and faced limitations in power delivery, accuracy, stability, and reliability that challenge their potential usability in humans for wound monitoring. This review provides a comprehensive understanding of the potential and limitations of Internet of Things devices in at‐home wound care, highlighting areas for future research and development.

Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. In this article, we focus on this practice, which is fully aligned with the NIH’s Gold Standard Science (GSS) program as well as FAIR (findable, accessible, interoperable, reusable) and TRUST (transparency, responsibility, user focus, sustainability, technology) principles. Gold Standard Science supports open science by emphasizing transparency, reproducibility, and the use of best practices that enable others to verify and extend research. Pairing a research article’s cited data snapshot with a versioned, environment-specific code release, deposited in a companion code repository, ensures that, upon submission to a medical journal, readers and reviewers can directly verify results. An executable and updatable companion code repository complements, rather than replaces, established research data repositories. When code underlying medical research results is made openly available, then other scientists can inspect, run, and validate analyses. These activities enhance reproducibility, which is a core aim of GSS. Shared code also facilitates collaborative innovation by allowing researchers to extend the utility of the code to new datasets and applications. For researchers, code sharing can increase visibility, credibility, and citation impact. Demonstrating transparency through shared executable and updatable code builds trust with journal readers, peer reviewers, funders, and peers. Shared code in an open access repository signals adherence to high standards of scientific integrity and attracts opportunities for collaboration. A researcher who shares code receives recognition as a leader in reproducible, trustworthy research consistent with NIH’s GSS principles.