INTRODUCTION:
A contemporary, accessible healthcare system must incorporate digital innovation and connectivity. Mobile health and applications, electronic medical records (eMRs), telehealth and telemedicine, wearable technology, robotics, and artificial intelligence (AI) are just a few of the technologies that fall under the broad category of "digital health"1. These technologies can be used for a wide range of purposes, such as maintaining patient health information, detecting diseases, assisting with patient care, and assuring continuity of care. With the emergence of professional organisations (such as the American Telemedicine Association and International Medical Informatics Association) whose objectives were to shift from conventional healthcare methods to more advanced, technology-driven applications, the 1980s were seen as a time when digital health technologies advanced quickly2. However, this century has seen the development of digital health technology. Access
A modern, open healthcare system must embrace connectivity and digital innovation. Among the many technologies that fall under the umbrella term "digital health" are wearable technology, robotics, artificial intelligence (AI), electronic medical records (eMRs), telehealth and telemedicine, and mobile health and applications1. These technologies can be applied to a variety of tasks, including keeping track of patients' medical records, spotting diseases, assisting with patient care, and guaranteeing continuity of treatment. The 1980s were seen as a period when digital health technologies advanced quickly due to the emergence of professional organisations (such as the American Telemedicine Association and International Medical Informatics Association) whose goals were to shift from conventional healthcare methods to more advanced, technology-driven applications2. However, the rise of in this century has seen
RESULTS:
In the field of digital health technologies in cardiovascular medicine, 16,699 documents were found using the search method. The earliest article in existence was written in 1961 and appeared in Circulation with the heading "Electronic equipment for accurate identification of cardiac conduction system- its use in open-heart surgery"9. Only 35 additional pertinent studies were published over a 30 year span, up until the early 1990s. Up to 2021, when more than 2,300 articles were published in a single year, the publication trend had been accelerating from the mid-1990s (Fig. 1a). There aren't any obvious surges in research effort within the topic's discernible exponential trend. Following conference proceedings papers (14%), meeting abstracts (13%), and original research articles (including case studies) make up about 60% of the research output.
The study by Chow, Redfern23, entitled "Effect of Lifestyle-Focused Text Messaging on Risk Factor Modification in Patients With Coronary Heart Disease: A Randomized Clinical Trial," has the most local citations (131), the most citations globally (554) and the strongest citation spike (13.05) between 2017 and 2021. Using a text-message intervention may help improve cardiovascular risk factors like blood lipids, physical activity, blood pressure, BMI, and tobacco intake, according to Chow, Redfern23, whose research focuses on secondary prevention of CHD. This is a clear example of a straightforward digital health application for improving cardiovascular care outcomes. Finally, more than half of the studies include research on HF, CIEDs, and remote monitoring.
DISCUSSION
It is crucial to understand the history of digital health technology in cardiovascular research—when it emerged, the rate of growth, hot topics, and its temporal evolution—in order to ensure clarity and direction when formulating research questions because, for scholars, research into digital health technologies in cardiovascular care has only recently been conducted. Similar methodologies have been used in earlier studies to shed light on the development of digital medicine and digital health research24,25. Other research, including a systematic review, has demonstrated how digital health interventions can improve the results of CVDs26. However, no other publication has finished analysing the pertinent research on a large scale.
METHODS:
Scientometric techniques are increasingly employed to quantify research measures, trends, and subjects across disciplines and fields (e.g. medicine, engineering, science). Due to their thoroughness and focus, systematic reviews have historically been used in medicine and healthcare to assess efficacy, effectiveness, and other outcomes. Though there is almost no limit to the amount of the scholarly literature, scientometrics can supplement systematic reviews by summarising the broad trends of an entire field, sub-field, or targeted issue.
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