The Revolution of Digital Therapeutics (DTx) in the Pharmaceutical Industry and Their Quality Impacts

Abstract

An increasing number of developments and trends are driving the expansion of the digital therapeutics (DTx) market in the pharmaceutical industry. Digital therapeutics are therapies intended to treat, diagnose, and prevent diseases by using patient-directed clinically assessed software applications, which can optimize the effectiveness and delivery of healthcare. These digital innovations became important as the world changed, particularly during the coronavirus pandemic. Nowadays pharma companies are getting more comfortable with the idea of digital therapies. The majority of pharmaceutical companies are examining how to incorporate pharmaceuticals and digital therapies into their treatment regimens, leveraging digital tools to enhance patient outcomes and streamline healthcare delivery. A thorough overview of the most recent technological advancements in the creation of digital therapies shows particular technologies that are essential to the market's future growth. Moreover, the evaluation of digital therapeutics by clinical trial and real-world data is outlined. The critical quality attributes of DTx products and the challenges, including data management issues and regulatory obstacles, which make the creation, approval, and marketing of customized medicines more difficult, are covered in this review article. Overall, pharma companies are venturing into the world of digital therapeutics while acknowledging the limitations of the emerging field.

Keywords: digital health technologies (dht); digital technologies; digital therapeutics (dtx); medical device; software systems.

Figure 1. Traditional processing method and digital processing method

Analysis of Biomedical Images: Artificial intelligence (AI) has the potential to streamline the diagnostic process for image specialists and yield faster health outcomes by eliminating the need for several steps in the review and diagnosis process, which is a common practice in traditional approaches. AI can assist with detecting illnesses that are sometimes hard for the human eye to perceive and diagnose, as well as identifying, classifying, and extracting pathological regions more quickly and with precision in diagnosis. From Ona, S. (2023). "Revolutionizing Our Healthcare: Harnessing AI's Potential for Health and Medicine". https://app.biorender.com/biorender-templates/t-65270cd349c5b1089b610edd-revolutionizing-our-healthcare-harnessing-ais-potential-for-