Patient data management systems and conversational interaction methods

A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to:

• provide a graphical user interface display prompting conversational interaction by a user;
• receive a conversational input from the user;
• communicate the conversational input and a current operational context to a remote device over a network, wherein the remote device analyzes the conversational input using natural language processing to determine an intent of an input query, identify a logical layer of a plurality of different logical layers of a database for searching based at least in part on the intent of the input query, identify a subset of similar patients similar to a patient using at least one of the plurality of different logical layers of the database, generate a query statement for searching the identified logical layer of the plurality of different logical layers of the database to obtain historical data for the subset of similar patients based at least in part on the input query, and query the identified logical layer of the database using the query statement to obtain the historical data for the subset of similar patients;
• and
• provide a conversational search result within the graphical user interface display responsive to the conversational input, wherein:
• the conversational search result comprises a therapy recommendation for the patient;
• and
• the therapy recommendation is influenced by the historical data for the subset of similar patients and data pertaining to a physiological condition of the patient.

A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to:

• receive an input query comprising a conversational input from a client device;
• obtaining data pertaining to a physiological condition of a patient;
• determine an intent of the input query pertaining to a prospective therapy modification by applying natural language processing to the conversational input;
• identify a logical layer of a plurality of different logical layers of a database for searching based at least in part on the intent of the input query;
• identify a subset of similar patients similar to the patient using at least one of the plurality of different logical layers of the database;
• generate a query statement for searching the identified logical layer of the plurality of different logical layers of the database to obtain historical data for the subset of similar patients for the prospective therapy modification based at least in part on the input query;
• query the identified logical layer of the database using the query statement to obtain the historical data;
• and
• provide a search result comprising a therapy recommendation for the patient in response to the conversational input, wherein the therapy recommendation is influenced by the historical data for the subset of similar patients and the data pertaining to the physiological condition of the patient.