SOLVED6

Give a peer review on the annotated bibliography below? If you do not know what peer review is please refer to the link provided.

 

Link: https://www.youtube.com/watch?v=O3lkm8LsgoU

 

Annotated Bibliography:  The Evolution of Medical Devices Efficiency in Healthcare

 

 Schwitzguebel AJ;Jeckelmann C;Gavinio R;Levallois C;Benaïm C;Spechbach H; (2019, November 4). Differential diagnosis assessment in ambulatory care with an automated medical history-taking device: Pilot randomized controlled trial. JMIR medical informatics. https://pubmed.ncbi.nlm.nih.gov/31682590/ 

Schwitzguebel and his associates discuss automated medical history taking devices and how they impact ambulatory care proven through experimentation. This article investigates the effectiveness of automated medical history-taking devices in ambulatory care settings. “We conducted a pilot randomized controlled trial involving 59 patients presenting to an emergency outpatient unit and suffering from various conditions affecting the limbs, the back, and the chest wall” (Schwitzguebel AJ, Jeckelmann C, Gavinio R, Levallois C, Benaïm C, Spechbach H). Through a pilot randomized controlled trial, the authors assess the device’s ability to aid healthcare professionals in diagnosing patients efficiently. The study explores the devices accuracy, usability, and impact on diagnostic outcomes compared to traditional methods of medical history interviews. This research holds significance in the context of modern healthcare delivery, where technology plays an increasingly prominent role in improving patient care and streamlining clinical processes. The findings of this study contribute valuable insights into enhancing diagnostic practices and optimizing patient outcomes in ambulatory care settings. 

 

“Systems And Methods For Automated Healthcare Services’ in Patent Application Approval Process (USPTO 20230032103).” Medical Devices & Surgical Technology Week, 26 Feb. 2023, p. 337. Gale Academic OneFile, link.gale.com/apps/doc/A737814363/AONE?u=lincclin_hcc&sid=bookmarkAONE&xid=b8593004

The patient application, filed by inventors Guo, Yimo; Karanam, Srikrishna; and Wu, Ziyan, proposes systems and methods for providing automated healthcare services, highlighting issues such as human errors, inconsistencies, and risks of cross-contamination. “These traditional methods of providing healthcare services are manual in nature and suffer from human errors, inconsistencies and lack of real-time monitoring capabilities.” (Guo, Yimo; Karanam, Srikrishna; and Wu, Ziyan). The inventors’ summary introduces automated healthcare systems equipped with sensing or image capturing devices to assess patients’ characteristics remotely. Utilizing artificial intelligence methods, these systems analyze images to determine patient characteristics and subsequently automate various aspects of medical procedures, including remotely controlling medical devices and providing patient instructions. The patient application outlines claim for systems, devices, and methods that facilitate automated healthcare services, emphasizing remote patient monitoring, feedback provision, and integration with medical devices. The proposed innovations aim to enhance healthcare delivery by reducing human errors and improving efficiency, potentially transforming medical practices in ambulatory and remote settings. The background information provided in the patient application underscores the limitations of conventional healthcare practices, emphasizing the need for transformative solutions. In current healthcare settings, close contact between patients and medical professionals is often necessary, leading to increased risk of inefficiencies. The inventors acknowledge these shortcomings and aim to address them through automated healthcare systems.

 

Grundy, J., Mouzakis, K., Vasa, R., Cain, A., Curumsing , M., Abdelrazek, M., & Fernando, N. (2017). Supporting Diverse Challenges of Ageing with Digital Enhanced Living Solutions. In Telehealth for Our Aging Society: Selected Papers from Global Telehealth 2017 (pp. 75-90). essay, School of Information Technology. Retrieved from https://web.p.ebscohost.com/ehost/ebookviewer/ebook/bmxlYmtfXzE3OTEyMjhfX0FO0?sid=9 0..f@redis&vid=0&format=EB&lpid=lp_75&rid=0.

The text discusses the importance of physical activity for older adults and the significant health benefits it offers. “In our rapidly ageing society, a critical need exists for effective, affordable, scalable, and safe in- home and in-residential care solutions leveraging a range of current and emerging sensor, interaction and integration technologies.” (Grundy, J., Mouzakis, K., Vasa, R., Cain, A., Curumsing , M., Abdelrazek, M., & Fernando, N). Despite the well documented benefits of physical activity for older adults, barriers such as lack of interest, low self-efficacy, and environmental challenges hinder their engagement in physical activity interventions. The text introduces a novel approach to promoting physical activity among older adults through interactive, exercise-based videogames. These games leverage technologies like the Microsoft Kinect and Nintendo Wii to provide accessible and engaging physical activity opportunities in the comfort of older adults’ homes. By incorporating motion capture and feedback mechanisms, these systems offer a cost-effective and sophisticated means of encouraging physical activity participation among older adults. This text underscores the critical role of physical activity in promoting the health and wellness of older adults and suggests innovative approaches, such as interactive videogames, to overcome barriers and increase physical activity engagement in this demographic. 

 

Stanley, A., & Kucera, J. (2021). Smart Healthcare Devices and Applications, machine learning-based automated diagnostic systems, and real-time medical data analytics in COVID-19 screening, testing, and treatment. American Journal of Medical Research, 8(2), 105. https://doi.org/10.22381/ajmr8220218 

This abstract outlines the critical role of advanced technologies, particularly smart healthcare devices, machine learning-based diagnostic systems, and real-time medical data analytics, in addressing the challenges posed by the COVID-19 pandemic. “Remote health monitoring can be supplied through artificial intelligence- powered data processing, wearable medical devices, and bio-sensor technologies” (Wu, 2021). Despite the acknowledged relevance of these technologies in screening, testing, and treating COVID-19, limited research has been conducted in this area. The study aims to bridge this gap by leveraging data from reputable sources and conducting analyses to estimate the effectiveness of these technologies, particularly in the context of remote health monitoring and diagnosis. Key findings suggest that artificial intelligence-powered tools play a crucial role in COVID-19 diagnosis and screening, aiding in prevention and surveillance efforts. The integration of smart Internet of Medical Things devices facilitates the gathering of multimodal patient data, enabling remote health monitoring and care process automation. Wearable sensors, interconnected across networks, generate valuable data that contribute to the efficiency of medical processes. However, the research acknowledges certain limitations, including a convenient sample size and cross-sectional data collection, which may impact the generalizability of the findings. Despite these limitations, the study provides valuable insights into the potential of advanced technologies in combating the COVID-19 pandemic.

 

 

 

 

SCIENCE
HEALTH SCIENCE
NURSING
ENC 1101

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