Abstract: Methods and systems are described that use artificial intelligence (AI)-based natural language processing (NLP) techniques to rapidly analyze, merge, and/or identify relationships between systems engineering artifacts (e.g., system requirements, system architecture descriptions, research requirements, risk assessments, etc.) to accelerate systems engineering program management, technical capability development, and acquisition initiatives associated with systems engineering projects.

Abstract: A system for automatically monitoring the delivery of medication to a patient, the system comprising: an electronic medical record containing information regarding the medical condition of the patient; a prescription order identifying a medication to be delivered to the patient; a database identifying contraindications and warnings for specific medications; a rules engine for determining the appropriateness of a medication vis-à-vis a medical condition of a patient; and a central processing unit (CPU) configured to (i) provide the prescription order and the electronic medical record of the patient to the rules engine, (ii) receive a determination from the rules engine regarding the appropriateness of the prescription order vis-à-vis the medical condition of the patient, and (iii) mark the electronic medical record with an indication regarding the appropriateness of the prescription order vis-à-vis the medical condition of the patient.

Abstract: Methods and systems are described that use artificial intelligence (AI)-based natural language processing (NLP) techniques to rapidly analyze, merge, and/or identify relationships between systems engineering artifacts (e.g., system requirements, system architecture descriptions, research requirements, risk assessments, etc.) to accelerate systems engineering program management, technical capability development, and acquisition initiatives associated with systems engineering projects.

Abstract: A system for automatically monitoring the delivery of medication to a patient, the system comprising: an electronic medical record containing information regarding the medical condition of the patient; a prescription order identifying a medication to be delivered to the patient; a database identifying contraindications and warnings for specific medications; a rules engine for determining the appropriateness of a medication vis-a-vis a medical condition of a patient; and a central processing unit (CPU) configured to (i) provide the prescription order and the electronic medical record of the patient to the rules engine, (ii) receive a determination from the rules engine regarding the appropriateness of the prescription order vis-a-vis the medical condition of the patient, and (iii) mark the electronic medical record with an indication regarding the appropriateness of the prescription order vis-a-vis the medical condition of the patient.