Computer Assisted Space Medic

M. Belknap, D. Jacobi, D. Anderson, A. Elmaghraphy, Xiaohui Cui, M.M. Kantardzic, R.K. Ragade
2002 SpaceOps 2002 Conference   unpublished
On the International Space Station (ISS) procedures for emergency medicine are addressed by referring to a hard-copy manual. This manual is typically over 1000 pages, is bulky for emergencies, and is printed in both English and Russian. While, the manual is substantial, it is unwieldy at best in emergency situations. This manual cannot be updated easily with new medical knowledge as it becomes available. Further, the communication with the qualified medical personnel at the Mission Control
more » ... ission Control Center has substantial latencies, especially, the further astronauts venture into space. With advances in information technology, several new avenues for improvements have become possible. Particularly, for the 21 st century, hand-held devices and wearable computers afford the possibility of new knowledge navigation. Also, the ability to store and integrate, large quantities of all kinds of critical data in minimal space is necessary in the cramped environment of spacecrafts. In this paper we propose an intelligent support system for on-board personnel. This system will combine imaging technology with data fusion, software agents, and neural network technology to provide an enhanced level of emergency medical knowledge One of the objectives in this architecture is to allow the system to function as a stand-alone system for emergencies as well as function with the Earth-based NASA medical team for other non-emergency related treatments. A component of an improved emergency medical support system is a dynamic electronic reference system, that is capable of being updated from Mission Control Center, as well as is adaptive to local conditions. The goals of the system are, to interactively receive data from a patient or the on-board medic following standard practice. Further data or knowledge could be acquired from past medical history, operative history, examinations and investigative tests. Using available data the system helps in determining possible diagnoses and associated treatment procedures. Also, the system will determine what further investigative actions should be taken to focus on the patient. At the same time, the system learns diagnostic knowledge from the patient cases presented to it. This research is currently being supported by a Phase 1 NASA STTR grant.
doi:10.2514/6.2002-t4-31 fatcat:2ip5ujsfdbfhtnm3zjmygy6hti