1. A computer-based method of recording medical transactions through de novo composition and construction of medical transaction codes; including the steps of: inputting medical transactions in a semiotic form one, the semiotic form one input being a free form-type, abbreviation-oriented natural language textual input, parsing said semiotic form one input and converting it into coded medical transactions in a semiotic form two output, the transaction codes composed and constructed de novo, the semiotic form two output embodying high level machine-parseable computer language statements comprehensible to a high certainty level by human users, causing a user display to display system reflection in the form of coded medical transactions in said semiotic form two and system-rated confidence levels representing the match between a code and correspondence with perceived user intent, receiving user selection input for verifying a selected coded medical transaction, converting a semiotic form two input into a semiotic form three transaction by mapping the selected coded transaction into data row in a relational database to render the transaction data amenable to structured query language processing, wherein each coded medical transaction in semiotic form two is classified into a genre selected from the group: (a) reason for encounter: genre@fie; (b) symptom/sign: genre@hxpx; (c) past history: genre@hxpx; (d) social history: genre@hxpx; (e) family history: genre@hxpx; (f) diagnosis or evaluation: genre@eval: (g) test: genre@ix; (h) test result: genre@ix@find; (i) drug or procedural treatment: genre@mx; (j) management plan—prescription specification: genre@plan; and (k) management goal: genre@goal, and wherein each coded medical transaction belongs to a species, each species being a classification under a genre.
1. A computer-based method of recording medical transactions through de novo composition and construction of medical transaction codes; including the steps of: inputting medical transactions in a semiotic form one, the semiotic form one input being a free form-type, abbreviation-oriented natural language textual input, parsing said semiotic form one input and converting it into coded medical transactions in a semiotic form two output, the transaction codes composed and constructed de novo, the semiotic form two output embodying high level machine-parseable computer language statements comprehensible to a high certainty level by human users, causing a user display to display system reflection in the form of coded medical transactions in said semiotic form two and system-rated confidence levels representing the match between a code and correspondence with perceived user intent, receiving user selection input for verifying a selected coded medical transaction, converting a semiotic form two input into a semiotic form three transaction by mapping the selected coded transaction into data row in a relational database to render the transaction data amenable to structured query language processing, wherein each coded medical transaction in semiotic form two is classified into a genre selected from the group: (a) reason for encounter: genre@fie; (b) symptom/sign: genre@hxpx; (c) past history: genre@hxpx; (d) social history: genre@hxpx; (e) family history: genre@hxpx; (f) diagnosis or evaluation: genre@eval: (g) test: genre@ix; (h) test result: genre@ix@find; (i) drug or procedural treatment: genre@mx; (j) management plan—prescription specification: genre@plan; and (k) management goal: genre@goal, and wherein each coded medical transaction belongs to a species, each species being a classification under a genre. 4. The method of claim 1 , including disaggregating a transaction in semiotic form two into two or more transactions.