Usability and acceptability of virtual reality for chronic pain management among diverse patients in a safety-net setting: a qualitative analysis

Digital Age Transformation in Patient-Physician Communication: 25-Year Narrative Review (1999-2023)

BACKGROUND

The evolution of patient-physician communication has changed since the emergence of the World Wide Web. Health information technology (health IT) has become an influential tool, providing patients with access to a breadth of health information electronically. While such information has greatly facilitated communication between patients and physicians, it has also led to information overload and the potential for spreading misinformation. This could potentially result in suboptimal health care outcomes for patients. In the digital age, effectively integrating health IT with patient empowerment, strong patient-physician relationships, and shared decision-making could be increasingly important for health communication and reduce these risks.

OBJECTIVE

This review aims to identify key factors in health communication and demonstrate how essential elements in the communication model, such as health IT, patient empowerment, and shared decision-making, can be utilized to optimize patient-physician communication and, ultimately, improve patient outcomes in the digital age.

METHODS

Databases including PubMed, Web of Science, Scopus, PsycINFO, and IEEE Xplore were searched using keywords related to patient empowerment, health IT, shared decision-making, patient-physician relationship, and health communication for studies published between 1999 and 2023. The data were constrained by a modified query using a multidatabase search strategy. The screening process was supported by the web-based software tool Rayyan. The review methodology involved carefully designed steps to provide a comprehensive summary of existing research. Topic modeling, trend analysis, and synthesis were applied to analyze and evaluate topics, trends, and gaps in health communication.

RESULTS

From a total of 389 selected studies, topic modeling analysis identified 3 primary topics: (1) Patient-Physician Relationship and Shared Decision-Making, (2) Patient Empowerment and Education Strategies, and (3) Health Care Systems and Health IT Implementations. Trend analysis further indicated their frequency and prominence in health communication from 1999 to 2023. Detailed examinations were conducted using secondary terms, including trust, health IT, patient-physician relationship, and patient empowerment, derived from the main topics. These terms clarified the collective impact on improving health communication dynamics. The synthesis of the role of health IT in health communication models underscores its critical role in shaping patient-centered health care frameworks.

CONCLUSIONS

This review highlights the significant contributions of key topics that should be thoroughly investigated and integrated into health communication models in the digital age. While health IT plays an essential role in promoting shared decision-making and patient empowerment, challenges such as usability, privacy concerns, and digital literacy remain significant barriers. Future research should prioritize evaluating these key themes and addressing the challenges associated with health IT in health communication models. Additionally, exploring how emerging technologies, such as artificial intelligence, can support these goals may provide valuable insights for enhancing health communication.

Virtual Reality Rehabilitation and Artificial Intelligence in Healthcare Technology

The benefit of virtual rehabilitation is that it helps the patient increase their engagement and motivation. Another advantage is that it allows patient specific. A third utility is that the therapist can make the sessions more efficient and productive. A feature of virtual reality (VR) rehabilitation is that it is possible to create virtual environments which are more realistic than those in a video game and in which the patients can perform exercises. As a result, the patients are more immersed and motivated to avoid the boredom from which patients in standard therapy usually suffer. The features of artificial intelligence (AI) in biomedicine are the optimisation of diagnostics, treatment, and patient monitoring. AI allows for the analysis to have the potential to detect subtle deviations. In this chapter, the application of virtual reality and artificial intelligence in healthcare was discussed.

Exploring the potential of virtual reality for the self-management of chronic pain: A scoping review of its use to address health literacy

BACKGROUND

Individuals with low health literacy struggle to manage long-term conditions. Addressing pain-related health competencies is important in the management of chronic pain. Virtual reality may be a useful tool for empowering sustainable health-related stratgies due to its unique ability to engage users in artificial environments.

OBJECTIVES

The aim of this scoping review was to explore existing research on the use of virtual reality as a tool to promote health literacy in people with chronic pain.

DESIGN

Scoping Review guided by framework proposed by Arksey & O'Malley.

METHOD

Articles related to "pain", "virtual reality" and "health literacy" were searched in four electronic databases: CINAHL, PubMed, Embase and PsycINFO using a formal search strategy. Studies were categorised based on intervention content using the Health Literacy Pathway Model which encompasses health knowledge, self-management skills, health communication and information seeking.

RESULTS

Thirteen studies met the inclusion criteria. Several elements of pain related health literacy were not addressed in the research. Interventions addressed health knowledge, self-management skills, decision making and featured content aiming to address emotional barriers to pain-related health literacy. Other components including active information seeking and use, actively communicating with health professionals and seeking and negotiating treatment options, were not explicitly addressed.

CONCLUSION

There is heterogeneity in existing research exploring the use of VR to support people with chronic pain. Existing VR tools to address pain-related health literacy do not cover several key components of health literacy. More research is required before a robust assessment of efficacy can be undertaken.

Transforming medicine: artificial intelligence integration in the peripheral nervous system

In recent years, artificial intelligence (AI) has undergone remarkable advancements, exerting a significant influence across a multitude of fields. One area that has particularly garnered attention and witnessed substantial progress is its integration into the realm of the nervous system. This article provides a comprehensive examination of AI's applications within the peripheral nervous system, with a specific focus on AI-enhanced diagnostics for peripheral nervous system disorders, AI-driven pain management, advancements in neuroprosthetics, and the development of neural network models. By illuminating these facets, we unveil the burgeoning opportunities for revolutionary medical interventions and the enhancement of human capabilities, thus paving the way for a future in which AI becomes an integral component of our nervous system's interface.