Unleashing Competitive Intelligence: News Mining Analysis on Technology Trends and Digital Health Driving Healthcare Innovation

Abstract

In the rapidly evolving digital health landscape, technology plays a pivotal role in transforming the healthcare industry. With the exponential growth of data, uncovering valuable insights has become a daunting task. In today's data-driven world, healthcare businesses must leverage emerging technologies to stay informed about trends in their field. This research article presents a novel approach to deriving business insights in digital health enabled by technology, including artificial intelligence, and other cutting-edge advancements. We propose a methodology that utilizes news mining techniques and the global data on events, location, and tone database as the primary data source. By employing natural language processing, we developed a practical way of extracting relevant insights from vast amounts of public data. We implemented named-entity recognition (NER) enriched with the DBpedia knowledge base and relationship extraction. In addition, we leveraged graph analytics to identify and analyze the most significant concept relationships within the text corpus and their evolution in time. By integrating these advanced techniques, healthcare businesses can extract actionable insights from public datasets, empowering them to stay abreast of emerging trends and advancements in digital health, such as telehealth, precision medicine, or medical imaging.