Frank Naeymi-Rad, PhD is chairman and CEO of Intelligent Medical Objects of Northbrook, IL.
Tell me about yourself and the company.
I received my computer science doctorate degree from Illinois Institute of Technology. My dissertation research work was in developing medical dictionaries that support electronic medical records, decision support, and information retrieval used at the point of care.
I got introduced to medical terminology when I was teaching classes to medical students, where I was directing academic, research, and administrative information services at the Chicago Medical School. These classes included use of computers for directed history and physical documentation, informatics workup, and concepts in medical artificial intelligence as senior electives.
During the senior elective setting, I wanted students to build knowledge for different decision support applications. The major task and challenge that we had developing knowledge for the decision support was standard terminology. Each system had its own dictionary. The systems we used were MEDAS, Dxplain, QMR, Knowledge Coupler, and Iliad. The medical students had to build knowledge for pattern recognition as well as rule-based decision support and application.
The knowledge created by students for a given diagnosis was then compared to knowledge within these expert systems for the same topic. The key learning objective was that everyone learned how the computers were used to make decisions and the results could be manipulated to reflect the new discoveries.
During that process, the most important aspect that came out was when we compared students’ patterns to other expert systems. It became clear that what was missing was standard medical terminology. This became the topic of my dissertation. It was really the concept of capturing and preserving the truth, what the source of truth about a given decision was and how the decision was made by the computer.
It was then necessary to reverse engineer the patterns back to the original form to explain why it led to the need to build a dictionary that students used to codify the rule. This allowed us to compare the pattern across multiple domains using the same foundation dictionaries. This led to my dissertation topic, which was a feature dictionary for clinical systems and electronic medical records.
The ultimate test was how the students’ knowledge would perform when interfaced to real patient data. Into the late 1980s and early 1990s, there were no coded electronic records. This led to the development of a history and physical documentation program on the Apple PowerBook for medical students. This program was expanded as a tool for second-year students as part of a supplement for the introduction to the clinical medicine class.
This program allowed students to develop comprehensive documentation for the history and physical exam. While the objective was to a develop a patient …read more