PATIENT DATA MANAGEMENT SYSTEMS AND CONVERSATIONAL INTERACTION METHODS
Techniques for providing therapy recommendations are provided. In some embodiments, the techniques may involve receiving an input query pertaining to a prospective therapy modification for a patient, wherein the prospective therapy modification comprises a modification to a therapy regimen including therapy delivered using a medical device and wherein the input query comprises conversational input. The techniques may further involve determining, based on the input query and information on a current operational context of the medical device, a therapy recommendation that, when incorporated into the therapy regimen, is most likely to yield a better outcome with respect to the physiological condition of the patient, wherein the therapy recommendation comprises a recommendation regarding the therapy delivered using the medical device.
1 . A method comprising:
receiving an input query pertaining to a prospective therapy modification for a patient, wherein the prospective therapy modification comprises a modification to a therapy regimen including therapy delivered using a medical device and wherein the input query comprises conversational input;
determining, based on the input query and information on a current operational context of the medical device, a therapy recommendation that, when incorporated into the therapy regimen, is most likely to yield a better outcome with respect to a physiological condition of the patient, wherein the therapy recommendation comprises a recommendation regarding the therapy delivered using the medical device; and
applying the therapy recommendation through controlling the medical device to deliver a therapeutic dose of medication, wherein controlling the medical device comprises automatically generating a dosage command for the medical device, or generating a dosage command based on user input in accordance with the therapy recommendation.
2 . The method of claim 1 , wherein determining the therapy recommendation is further based on a current measurement of a physiological condition of the patient obtained from a sensor.
3 . The method of claim 1 , further comprising querying a database to obtain historical data associated with a subset of similar patients to the patient, wherein determining the therapy recommendation is further based on the historical data.
4 . The method of claim 3 , wherein similarities between the subset of similar patients are encoded by directed graph data structures within different logical layers of a database.
5 . The method of claim 4 , wherein at least one directed graph data structure includes edges between nodes indicative a causal relationship.
6 . The method of claim 1 , further comprising parsing the conversational input based on the current operational context of the medical device.
7 . The method of claim 6 , wherein parsing the conversational input based on the current operational context of the medical device comprises determining an intent of the conversational input, and wherein the method further comprises determining a logical layer of a database to query based on the intent of the conversational input to determine the therapy recommendation.
8 . The method of claim 7 , further comprising:
querying the logical layer of the database and receiving results based on the query; and
querying a second logical layer of the database based on the received results.
9 . The method of claim 1 , wherein the medical device is an insulin infusion pump, and wherein the current operational context of the medical device comprises at least one of: a recent insulin dosage delivered to the patient; or whether insulin delivery by the insulin infusion pump is currently suspended.
10 . A system comprising:
one or more processors; and
one or more processor-readable media storing instructions which, when executed by
one or more processors, cause performance of:
receiving an input query pertaining to a prospective therapy modification for a patient, wherein the prospective therapy modification comprises a modification to a therapy regimen including therapy delivered using a medical device and wherein the input query comprises conversational input;
determining, based on the input query and information on a current operational context of the medical device, a therapy recommendation that, when incorporated into the therapy regimen, is most likely to yield a better outcome with respect to a physiological condition of the patient, wherein the therapy recommendation comprises a recommendation regarding the therapy delivered using the medical device; and
applying the therapy recommendation through controlling the medical device to deliver a therapeutic dose of medication, wherein controlling the medical device comprises automatically generating a dosage command for the medical device, or generating a dosage command based on user input in accordance with the therapy recommendation.
11 . The system of claim 10 , wherein determining the therapy recommendation is further based on a current measurement of a physiological condition of the patient obtained from a sensor.
12 . The system of claim 10 , wherein the instructions further cause performance of querying a database to obtain historical data associated with a subset of similar patients to the patient, wherein determining the therapy recommendation is further based on the historical data.
13 . The system of claim 12 , wherein similarities between the subset of similar patients are encoded by directed graph data structures within different logical layers of a database.
14 . The system of claim 13 , wherein at least one directed graph data structure includes edges between nodes indicative a causal relationship.
15 . The system of claim 10 , wherein the instructions further cause performance of parsing the conversational input based on the current operational context of the medical device.
16 . The system of claim 15 , wherein parsing the conversational input based on the current operational context of the medical device comprises determining an intent of the conversational input, and wherein the method further comprises determining a logical layer of a database to query based on the intent of the conversational input to determine the therapy recommendation.
17 . The system of claim 16 , wherein the instructions further cause performance of:
querying the logical layer of the database and receiving results based on the query; and
querying a second logical layer of the database based on the received results.
18 . The system of claim 10 , wherein the medical device is an insulin infusion pump, and wherein the current operational context of the medical device comprises at least one of: a recent insulin dosage delivered to the patient; or whether insulin delivery by the insulin infusion pump is currently suspended.
19 . A method comprising:
receiving an input query pertaining to a prospective therapy modification for a patient, wherein the prospective therapy modification comprises a modification to a therapy regimen including therapy delivered using a medical device and wherein the input query comprises conversational input;
determining an intent of the input query by parsing the conversational input;
querying a database based on the intent of the input query and a current operational context of the medical device to determine a therapy recommendation that, when incorporated into the therapy regimen, is most likely to yield a better outcome with respect to a physiological condition of the patient, wherein the therapy recommendation comprises a recommendation regarding the therapy delivered using the medical device; and
providing the therapy recommendation as conversational output.
20 . The method of claim 19 , further comprising determining a logical layer of the database to query based on the intent of the input query.