Figure 3:

MLM Parsing. A system was developed that (1) used an ANTLR parser generator to identify the MLM categories (maintenance, library, and knowledge) and their contained slots; and (2) used an additional ANTLR parser generator to process the slots and leveraged the Akiban SQL Parser to process SQL statements embedded within the data slot. For this feasibility study, a SQL statement was used to retrieve data from the FAHC EHR reporting database that were used for eligibility determination (ID = Patient identifier; DOB = patient date of birth; HNAME = hospital name; GA = gestational age; BWGT = birth weight; ATIME = admission time; and SOURCE = admission source) according to the criteria depicted in Figure 1.