Context: Medical devices fall under the broad topic encompass everything from basic hardware to integrated software systems. The integration of software into hardware devices is not simple due to requirements of regional regulatory bodies. Therefore, medical businesses need to oversee not only the creation of devices but also the observance of guidelines and standards established by regulatory bodies. While plan-driven methodologies prevented software from evolving or changing, agile methodologies have inherent characteristics of insufficient planning and documentation.

Objectives: The objective of our research is to propose a suitable process model for medical device development, keeping in mind the regulatory requirements.

Methods: First, based on the detailed analysis of literature and McHughs proposed model, we suggested the Enhanced Agile V-Model (EAV), which combines plan-driven and agile approaches. Second, we mapped the proposed model to the MDEVSPICE framework to confirm that it adhered to the rules outlined in the standard IEC62304. Finally, the proposed model is evaluated through implication to case study of wave therapeutic medical device.

Results: The support of both agile and waterfall approach in EAV model helps in accommodating new requirements in the medical devices and the proposed systems engineering approach helps in hardware and software integration. The mapping of the EAV model to the MDEVSPICE shows complete compliance. Moreover, the implication of the proposed model has been clearly shown statistically and successfully implemented in our case study. Further, device usability and efficiency metrics showed confidence of P < 0.05 and for device safety and efficiency, we conducted an experiment which shows significant improvement in selected parameters.

Conclusion: The proposed model shows conformance to regulatory standards, and successfully implemented in development of wave therapeutic device. However, its applicability to more compact and straightforward medical products is unknown and can be determined by using this model to analyze the performance of other medical products.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11009884PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e26928DOI Listing

Publication Analysis

Top Keywords

proposed model
20
regulatory bodies
12
model
9
enhanced agile
8
agile v-model
8
conformance regulatory
8
medical
8
medical device
8
device development
8
medical devices
8

Similar Publications

A staged integrated model informing the promotion of healthy dietary behaviors in adolescents: a prospective study.

BMC Public Health

January 2025

Department of Health Behavior and Social Medicine, West China School of Public Health and West China Fourth Hospital, Research Center for Palliative Care, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, P.R. China.

Background: The promotion of healthy dietary behaviors in adolescence is critical, which have long-term implications for lifelong health. Integration is an important method for improving limited theories of dietary behavior change. The present study proposes an integrated model aimed at identifying the diverse determinants of healthy dietary behaviors in adolescents and assesses its stage-specific nature as the potential for effective interventions.

View Article and Find Full Text PDF

Screening for retinopathy of prematurity in China: a five-year cohort study in seven screening centers.

BMC Ophthalmol

January 2025

Department of Ophthalmology, Peking University People's Hospital, Beijing Key Laboratory of Ocular Disease and Optometry Science, Beijing, China.

Background: To analyze the demographic characteristics of retinopathy of prematurity (ROP) in China, attempting to propose optimized screening criteria and hopefully providing valuable information for future updates to the ROP guideline.

Methods: A multicenter, retrospective-cohort study was conducted. The study included infants born between January 1, 2018, and July 31, 2023, who underwent ROP screening and were diagnosed with ROP at seven screening centers in China.

View Article and Find Full Text PDF

Association of pan-immune-inflammatory value with metabolic dysfunction-associated steatotic liver disease: findings from NHANES 2017-2020.

BMC Gastroenterol

January 2025

Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No. 55 Zhenhai Road, Xiamen, 361003, China.

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most common chronic liver disease worldwide. The pan-immune-inflammation value (PIV) has been proposed as a biomarker for assessing immune status and inflammation. There is currently no evidence regarding the effect of PIV on the risk of MASLD.

View Article and Find Full Text PDF

Novel transfer learning based bone fracture detection using radiographic images.

BMC Med Imaging

January 2025

Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea.

A bone fracture is a medical condition characterized by a partial or complete break in the continuity of the bone. Fractures are primarily caused by injuries and accidents, affecting millions of people worldwide. The healing process for a fracture can take anywhere from one month to one year, leading to significant economic and psychological challenges for patients.

View Article and Find Full Text PDF

This study presents an advanced methodology for 3D heart reconstruction using a combination of deep learning models and computational techniques, addressing critical challenges in cardiac modeling and segmentation. A multi-dataset approach was employed, including data from the UK Biobank, MICCAI Multi-Modality Whole Heart Segmentation (MM-WHS) challenge, and clinical datasets of congenital heart disease. Preprocessing steps involved segmentation, intensity normalization, and mesh generation, while the reconstruction was performed using a blend of statistical shape modeling (SSM), graph convolutional networks (GCNs), and progressive GANs.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!