Telehealth Wound Applications: Barriers, Solutions, and Future Use by Nurse Practitioners

Telehealth applications are an emerging technology in a new era of health care system technologies. Although telehealth technologies, including a number of different applications, are used by various members of the health care team, nurse practitioners (NPs) utilize them for a variety of patient issues across healthcare settings. The Indiana University-Purdue University Fort Wayne Computer Science Department has recently developed a wound scanning application, WoundView for nurse practitioners to utilize in different healthcare settings. Such telehealth mobile applications are used in clinics, home health, rural, and remote settings where a physician may not be readily available. However, there are obstacles with the current practice of using telehealth technologies such as a dire need for evidence-based research that supports attainable solutions for these barriers. Extensive, ongoing research will allow NPs to anticipate an immense mainstream implementation of telehealth applications in the very near future

Improving Nurses Wound Care Knowledge Utilizing an App

Practice Problem: Nurses needed additional wound care support, but formal training was not in the budget at this time. Nurses needed a quick reference guide to help them assess, document, and treat wounds correctly until the hospital could provide adequate training. PICOT: The PICOT question that guided this project is; “When treating wound care patients within a hospital setting (P), how does the implementation of a wound software app. (I) as compared to pre-existing nursing knowledge (C) increase a nurse’s self-reported ability to accurately assess and treat wounds (O) during a 10-week period? (T)” Evidence: Based on a thorough and rigorous review of the synthesized recommendations currently available, a wound software app has the capability of helping the nurses in the hospital who self-identified as having limited wound knowledge. The strength of the body of evidence is extensive, as evidenced by the quality, quantity, and consistency of the studies. Intervention: The intervention used an educational software phone application (app) to assist nurses in referencing information pertaining to wounds. The nurses self-reported their confidence level via a baseline survey and then this data will be compared to a post survey that analyzed their confidence level after utilizing the wound software app. during a 10-week period pre and post-intervention. Outcome: All participants (100%) indicated that they (a) felt comfortable using a wound app on phones or tablets, (b) would like to learn and participate in a training on a wound phone or tablet app, and (c) were interested in using a wound phone or tablet app for wound assessment, documentation, and treatment options. The two-tailed Wilcoxon signed rank test showed significant results based on an alpha value of .05, V = 0.00, z = -2.23, p = .026. Conclusion: In an organization where staff nurses are having difficulty merely understanding the basics of wounds, being able to have a reference guide can prove to be beneficial. Hospital administrators may save on wound related cost

Development of mHealth system for supporting self-management and remote consultation of skincare eHealth/ telehealth/ mobile health systems

Background: Individuals with spina bifida (SB) are vulnerable to chronic skin complications such as wounds on the buttocks and lower extremities. Most of these complications can be prevented with adherence to self-care routines. We have developed a mobile health (mHealth) system for supporting self-care and management of skin problems called SkinCare as part of an mHealth suite called iMHere (interactive Mobile Health and Rehabilitation). The objective of this research is to develop an innovative mHealth system to support self-skincare tasks, skin condition monitoring, adherence to self-care regimens, skincare consultation, and secure two-way communications between patients and clinicians. Methods: In order to support self-skincare tasks, the SkinCare app requires three main functions: (1) self-care task schedule and reminders, (2) skin condition monitoring and communications that include imaging, information about the skin problem, and consultation with clinician, and (3) secure two-way messaging between the patient and clinician (wellness coordinator). The SkinCare system we have developed consists of the SkinCare app, a clinician portal, and a two-way communication protocol connecting the two. The SkinCare system is one component of a more comprehensive system to support a wellness program for individuals with SB. Results: The SkinCare app has several features that include reminders to perform daily skin checks as well as the ability to report skin breakdown and injury, which uses a combination of skin images and descriptions. The SkinCare app provides reminders to visually inspect one's skin as a preventative measure, often termed a "skin check." The data is sent to the portal where clinicians can monitor patients' conditions. Using the two-way communication, clinicians can receive pictures of the skin conditions, track progress in healing over time, and provide instructions for how to best care for the wound. Conclusions: The system was capable of supporting self-care and adherence to regimen, monitoring adherence, and supporting clinician engagement with patients, as well as testing its feasibility in a long-term implementation. The study shows the feasibility of a long-term implementation of skincare mHealth systems to support self-care and two-way interactions between patients and clinicians

Mobile Health Technologies

Mobile Health Technologies, also known as mHealth technologies, have emerged, amongst healthcare providers, as the ultimate Technologies-of-Choice for the 21st century in delivering not only transformative change in healthcare delivery, but also critical health information to different communities of practice in integrated healthcare information systems. mHealth technologies nurture seamless platforms and pragmatic tools for managing pertinent health information across the continuum of different healthcare providers. mHealth technologies commonly utilize mobile medical devices, monitoring and wireless devices, and/or telemedicine in healthcare delivery and health research. Today, mHealth technologies provide opportunities to record and monitor conditions of patients with chronic diseases such as asthma, Chronic Obstructive Pulmonary Diseases (COPD) and diabetes mellitus. The intent of this book is to enlighten readers about the theories and applications of mHealth technologies in the healthcare domain

WOUND HEALING CONCEPTS: CONTEMPORARY PRACTICES AND FUTURE PERSPECTIVES

The advancements in the development of wound dressings have seen tremendous growth in the past few decades. Wound healing approach has majorly shifted from dry healing to moist healing. There has been a significant advancement in our understanding of the underlying physiology involved in wound healing and the associated systemic factors having a direct or indirect influence on the healing. This has resulted in the development of wound dressings designed to treat specific types of wounds. The present review discusses the physiology of wound healing, followed by different factors that contribute to healing. The advancements in wound dressings with their merits and limitations, newer approaches in wound care i.e., hyperbaric oxygen, negative pressure therapy, skin substitutes and role of growth factors in wound healing, have been highlighted. In addition, more recent approaches for effective wound care like smart devices with sensing, reporting and responding functions are discussed

AI technology for remote clinical assessment and monitoring

Objective: To report the clinical validation of an innovative, artificial intelligence (AI)-powered, portable and non-invasive medical device called Wound Viewer. The AI medical device uses dedicated sensors and AI algorithms to remotely collect objective and precise clinical data, including three-dimensional (3D) wound measurements, tissue composition and wound classification through the internationally recognised Wound Bed Preparation (WBP) protocol; this data can then be shared through a secure General Data Protection Regulation (GDPR)- and Health Insurance Portability and Accountability Act (HIPAA)-compliant data transfer system. This trial aims to test the reliability and precision of the AI medical device and its ability to aid health professionals in clinically evaluating wounds as efficiently remotely as at the bedside. Method: This non-randomised comparative clinical trial was conducted in the Clinica San Luca (Turin, Italy). Patients were divided into three groups: (i) patients with venous and arterial ulcers in the lower limbs; (ii) patients with diabetes and presenting with diabetic foot syndrome; and (iii) patients with pressure ulcers. Each wound was evaluated for area, depth, volume and WBP wound classification. Each patient was examined once and the results, analysed by the AI medical device, were compared against data obtained following visual evaluation by the physician and research team. The area and depth were compared with a Kruskal–Wallis one-way analysis of variations in the obtained distribution (expected p-value>0.1 for both tests). The WBP classification and tissue segmentation were analysed by directly comparing the classification obtained by the AI medical device against that of the testing physician. Results: A total of 150 patients took part in the trial. The results demonstrated that the AI medical device's AI algorithm could acquire objective clinical parameters in a completely automated manner. The AI medical device reached 97% accuracy against the WBP classification and tissue segmentation analysis compared with that performed in person by the physician. Moreover, data regarding the measurements of the wounds, as analysed through the Kruskal–Wallis technique, showed that the data distribution proved comparable with the other methods of measurement previously clinically validated in the literature (p=0.9). Conclusion: These findings indicate that remote wound assessment undertaken by physicians is as effective through the AI medical device as bedside examination, and that the device was able to assess wounds and provide a precise WBP wound classification. Furthermore, there was no need for manual data entry, thereby reducing the risk of human error while preserving high-quality clinical diagnostic data

Healthcare 4.0 digital technologies impact on quality of care: A systematic literature review

The healthcare industry is transforming into Healthcare 4.0 (H4.0), an era characterized by smart and connected healthcare systems. This study presents a conceptual framework that classifies H4.0 digital technologies into information and communication technology bundles within the healthcare value chain. It also identifies barriers and evaluates digital technologies’ impact on quality measures through a systematic literature review and meta-analysis approach following the PRISMA protocol. The analysis reveals that digital technologies in the healthcare sector traditionally consist of sensing-communication and processing-actuation technologies. The findings highlight the significant influence of H4.0 digital technologies on three quality measures: patient safety, patient experience/ satisfaction, and clinical effectiveness. While these technologies offer potential benefits, they pose challenges for patients and clinicians, including intellectual property and significance concerns, especially in North America. The proposed framework addresses these issues and enables stakeholders to prioritize, review, and analyze H4.0 digital technologies to enhance patient safety, experience, and clinical effectiveness. This research contributes to the existing literature by being the first comprehensive analysis of the impact of H4.0 technologies on the quality of care. The framework provided in this study offers valuable guidance for stakeholders in selecting appropriate technologies to improve patient outcomes and support the healthcare value chain

Smartphone as a Personal, Pervasive Health Informatics Services Platform: Literature Review

Objectives: The article provides an overview of current trends in personal sensor, signal and imaging informatics, that are based on emerging mobile computing and communications technologies enclosed in a smartphone and enabling the provision of personal, pervasive health informatics services. Methods: The article reviews examples of these trends from the PubMed and Google scholar literature search engines, which, by no means claim to be complete, as the field is evolving and some recent advances may not be documented yet. Results: There exist critical technological advances in the surveyed smartphone technologies, employed in provision and improvement of diagnosis, acute and chronic treatment and rehabilitation health services, as well as in education and training of healthcare practitioners. However, the most emerging trend relates to a routine application of these technologies in a prevention/wellness sector, helping its users in self-care to stay healthy. Conclusions: Smartphone-based personal health informatics services exist, but still have a long way to go to become an everyday, personalized healthcare-provisioning tool in the medical field and in a clinical practice. Key main challenge for their widespread adoption involve lack of user acceptance striving from variable credibility and reliability of applications and solutions as they a) lack evidence-based approach; b) have low levels of medical professional involvement in their design and content; c) are provided in an unreliable way, influencing negatively its usability; and, in some cases, d) being industry-driven, hence exposing bias in information provided, for example towards particular types of treatment or intervention procedures