A structured medical data classification system for monitoring and remediating treatment risks

A method for classifying structured medical data, with each item of structured medical data comprising one or more fields and one or more values in the one or more respective fields, the method comprising:

• parsing, by a processing module, one or more items of structured medical data to retrieve values of respective fields of the one or more items of structured medical data, the one or more retrieved values representing a set of medical attributes;
• accessing, by a classification module, the memory and selecting, from the memory a classifier based at least one of the attributes in the set;
• applying, by the classification module, the classifier to the set of attributes to classify the one or more items of structured medical data into a particular risk profile that includes a plurality of risk factors;
• generating a user interface that renders one or more controls for input of medical confirmation data that confirms one or more of the risk factors of the risk profile;
• and
• transmitting, over one or more communication protocols and to a remote medical device, an alert that specifies confirmation of the one or more of the risk factors.

A non-transitory computer-readable medium for classifying structured medical data, with each item of structured medical data comprising one or more fields and one or more values in the one or more respective fields, the non-transitory computer readable medium configured to cause one or more processing devices to perform operations comprising:

• parsing one or more items of structured medical data to retrieve values of respective fields of the one or more items of structured medical data, the one or more retrieved values representing a set of medical attributes;
• accessing the memory and selecting, from the memory a classifier based at least one of the attributes in the set;
• applying the classifier to the set of attributes to classify the one or more items of structured medical data into a particular risk profile that includes a plurality of risk factors;
• generating a user interface that renders one or more controls for input of medical confirmation data that confirms one or more of the risk factors of the risk profile;
• and
• transmitting, over one or more communication protocols and to a remote medical device, an alert that specifies confirmation of the one or more of the risk factors.

A wireless handheld device for analyzing for classifying structured medical data, the device comprising:

• a processor;
• and
• a memory in communication with the processor, the memory storing an application which is configured to cause the smartphone to:
• parse one or more electronic health records to retrieve values of respective fields of the electronic health records, the one or more retrieved values associated with one or more tests performed during a pregnancy;
• a classification module that accesses the memory and selects, from the memory, a KCI test;
• wherein the classification module further applies the KCI test to the values of the respective fields of the electronic health records to classify a patient into a particular risk profile that includes a plurality of risk factors for adverse pregnancy outcomes;
• a user interface that renders one or more controls for input of answers to questions generated in response to classifying the patient into the particular risk profile, the answers confirming one or more of the risk factors of the risk profile;
• and
• a transceiver that transmits, via a mobile network, an alert that specifies confirmation of the one or more of the risk factors for an adverse pregnancy outcome.