The explosion in technology has dramatically impacted all areas of information gathering and generating intelligence from various sources.  While the Cold War primarily dealt with human intelligence (HUMINT), signals intelligence (SIGINT), and measures and signature intelligence (MASINT), the terrorist attacks of 9/11, coupled with the technology explosion, have categorized and defined numerous “new” types of intelligence collection including geospatial intelligence (GEOINT), open-source intelligence (OSINT), social media intelligence (SOCMINT), and imagery intelligence (IMINT).  While some scholars have debated that there are only five disciplines of collection, OSINT, HUMINT, SIGINT, GEOINT, and MASINT (Lowenthal and Clark, 2015), like many other disciplines, such as medicine and law, there appears to be a trend toward defining specializations and sub-categories. This paper will expand on the baseline work by Clemente (2013), Bowsher (2016), and Dahl (2024) and offer a deeper understanding of what MEDINT is and how it can be used in various aspects of intelligence, including military intelligence, criminal intelligence, public health, and even in the corporate sector.  This paper aims to move the discussion of MEDINT forward to help intelligence practitioners formally acknowledge this unique aspect of intelligence collection and bring its use to the forefront of intelligence discussions.