1. A computer implemented method for inferring a probability of a first inference related to identification of a cause of an outcome in a healthcare setting, the computer implemented method comprising: receiving a query at a database regarding a fact related to the healthcare setting, wherein the fact further relates to a network of interactions associated with the outcome, wherein the first inference is absent from the database, wherein the database comprises a plurality of divergent data, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the database is conformed to the dimensions of the database, wherein each datum of the plurality of data has associated metadata and an associated key, wherein the associated metadata comprises data specifying cohorts associated with the corresponding datum, data specifying hierarchies associated with the corresponding datum, data specifying a corresponding source of the datum, and data specifying probabilities associated with integrity, reliability, and importance of each associated datum; establishing the fact as a frame of reference for the query; applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the first set of rules determine how the plurality of data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; executing the query to create the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the first set of rules; and storing the probability of the first inference.
12. The computer implemented method of claim 1 further comprising: cross-linking a network of outcomes to the network of interactions.