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.

Background/Objectives: The availability of accessible health information outside of traditional healthcare settings has transformed patient engagement in shared decision-making (SDM) with healthcare providers. However, the challenge of navigating misinformation complicates SDM, highlighting the critical role of trust, especially when patient-achieved information conflicts with professional advice. This study examines the association between patients’ health information behavior (HIB) and SDM, emphasizing the role of patients’ trust in healthcare providers. Methods: Utilizing data from the Health Information National Trends Survey (HINTS), this research explores how trust mediates the relationship between HIB and SDM. We conducted factor analysis, mediation analysis, and moderated mediation analysis to assess our hypotheses. Results: Factor analysis identified two main HIB dimensions: emotional responses and utilization of social media. Emotional responses positively influenced SDM, enhancing trust and decision-making involvement. In contrast, utilization of social media negatively influenced SDM through decreased trust. Mediation analysis confirmed trust in physicians as a crucial mediator, particularly when emotional responses foster trust and engagement. Moderated mediation showed that high healthcare quality amplified the positive mediation effects of trust, underscoring its role in effective SDM. Conclusions: This study highlights the significant role of trust in enhancing patient engagement in SDM through HIB. High perceived healthcare quality also strengthens trust, improving SDM outcomes. The study contributes to the literature by providing a comprehensive analysis of the interplay between HIB, trust, and SDM, suggesting that enhancing patient-centered care requires fostering trusted patient–physician relationships.

The rapid expansion of online platforms has changed how patients access health information, shifting the challenge from obtaining data to discerning which content is more trustworthy and personalized. While health care professionals remain the most trusted source, relying solely on them is no longer sufficient for personalized care in the digital era. This study examines how source type (interpersonal vs. web-based), transparency (presence vs. absence of evidence), and interactivity (static vs. dynamic engagement) shape patients’ trust in health information. A 2 × 2 × 2 vignette-based experiment with 517 U.S. adults tested these effects. Participants reported higher trust in interpersonal and transparent sources, whereas interactivity alone showed no main effect. However, a significant three-way interaction revealed that trust peaked when interpersonal sources were transparent and interactive and was lowest when web-based systems were non-transparent and low-interactive. Interactivity partially compensated for low transparency in digital contexts. These findings underscore the need for multidimensional trust-building strategies in digital health communication. Integrating transparency and interactivity across platforms enables patients to better identify trustworthy information, thereby enhancing personalized engagement and improving health outcomes.

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.