Abstract: A system and a method directed to various techniques for creating an autonomous multipurpose application using a platform of application programming interfaces (APIs). In one embodiment, a method comprising operations performed by a cognitive intelligence platform is disclosed. The method includes: publishing, for implementation in the autonomous multipurpose application, at least one API that uses artificial intelligence to perform analytics based on a knowledge graph pertaining to ontological data of a medical condition, wherein the at least one API is included in a set of APIs; providing the at least one API in a user interface of a computing device; receiving, from the computing device, a request to subscribe to the at least one API; implementing computer instructions of the at least one API in the autonomous multipurpose application; and providing the autonomous multipurpose application to the computing device for execution on the computing device.

Abstract: A method for determining a risk for an infectious disease for a patient using a cognitive intelligence platform is disclosed. The method includes receiving, from an authoritative source, factors indicative of a person being infected by the infectious disease, wherein the factors include medical information pertaining to the infectious disease. The method also includes determining whether any of the factors are present in a patient graph of the patient, wherein the patient graph includes medical information pertaining to the patient and the determining is performed by matching the medical information pertaining to the infectious disease to the medical information pertaining to the patient. The method also includes, responsive to determining the factors are present in the patient graph of the patient, determining the risk for the infectious disease for the patient, and performing a preventative action based on the risk for the infectious disease.

Abstract: A computer-implemented method is performed by a cognitive intelligence platform. The method comprises: receiving, from a plurality of electronic health record systems, medical records associated with medical encounters of a patient with one or more medical providers over a period of time, the medical records including medical information related to care of the patient; analyzing the medical records by classifying the medical information included in the medical records into medical entities, the medical entities including categories having particular shared characteristics related to the care of the patient; determining, based on the medical entities, an effectiveness of a treatment plan received by the patient; generating an indication of the effectiveness of the treatment plan; and providing the indication to a user interface executing on a computing device.

Abstract: A computer-implemented method performed by a cognitive intelligence platform is disclosed herein. The method comprises: receiving, from a plurality of electronic health record systems, medical records associated with medical encounters of a patient with one or more medical providers over a period of time, the medical records including medical information related to care of the patient; analyzing the medical records by classifying the medical information included in the medical records into medical entities, the medical entities including categories having particular shared characteristics related to the care of the patient; generating, based on the medical entities, visual representations of the medical records over the period of time; and providing the visual representations of the medical records to a medical provider.

Abstract: A method for maintaining content pertaining to a medical condition for a patient in a distributed ledger is disclosed. The method comprises: determining whether content pertaining to the medical test is corroborated by one or more records of other transactions associated with a patient that are stored in the distributed ledger; responsive to determining that the content pertaining to the medical test is corroborated, endorsing the transaction request; determining whether a threshold number of nodes of the network of nodes have endorsed the transaction request; and responsive to determining that the threshold number of nodes of the network of nodes have endorsed the transaction request, performing the one or more operations to store the record of the transaction associated with the medical test for the patient and the content pertaining to the medical test for the patient in the distributed ledger.

Abstract: A system and a method directed to image and information extraction to make decisions using curated medical knowledge are disclosed. For example, operations performed by a cognitive intelligence platform include receiving, from a user computing device, image data of an object and processing the image data to extract data pertaining to the object, where the data comprises text, an image, or some combination thereof. The operations further include identifying a data structure comprising health information pertaining to a user operating the user computing device, where the data structure is stored in a knowledge cloud of the cognitive intelligence platform. The operations also include populating a parameter in the data structure with the data and causing, using the parameter, a field to be populated on a user interface presented on the user computing device.

Abstract: A method for dynamically managing a goal in a care plan of a patient is disclosed. The method includes receiving a selection of a type of the care plan for the patient, responsive to the selection of the type of the care plan, receiving a selection of a goal having a goal type to include in the care plan, generating the care plan including the goal having the goal type, and causing the care plan including the goal to be presented on a computing device of a medical personnel.

Abstract: A method for autonomously generating a care plan personalized for a patient is disclosed. The method includes receiving a selection of a type of the care plan to implement for the patient, generating the care plan based on the type selected, wherein the care plan includes an action instruction based on a patient graph of the patient and a knowledge graph including ontological medical data, receiving patient data that indicates health related information associated with the patient, modifying the care plan to generate a modified care plan in real-time or near real-time based on the patient data, and causing the modified care plan to be presented on a computing device of a medical personnel.

Abstract: A device receives patient data that indicates health related information associated with a patient. The device identifies, by processing the patient data using one or more natural language processing techniques, indicia associated with a health status of the patient. The device identifies similarities between the indicia and the content. The device generates, using an artificial intelligence engine, cognified data based on the similarities. The device identifies a medical code that correlates to particular content that is similar to the indicia. The device causes the cognified data to be displayed in association with medical code.

Abstract: A method includes causing at least a portion of a knowledge graph representing ontological health related information to be presented on a display of a client device. The method further includes receiving, at an artificial intelligence engine, a medical query, wherein the medical query includes a plurality of strings of characters. The method further includes identifying, in the plurality of strings of characters, indicia comprising a phrase, a predicate, a keyword, a subject, an object, a cardinal, a number, a concept, or some combination thereof. The method further includes comparing the indicia to the knowledge graph to generate an answer responsive to the medical query. The method further includes causing the answer to be presented at the client device.

Abstract: In one embodiment, a method for operating an artificial intelligence engine is disclosed. The method may include determining a shared medical condition state for a subset of a population of people, segmenting the population of the people into a registry of people based on the shared medical condition state, determining an action to perform for the registry of the people based on comparing the shared medical condition state to ontological medical information, and autonomously performing, by the artificial intelligence engine, the action for the registry of the people.

Abstract: In one embodiment, a method is disclosed for presenting a user interface including clustered event episode bundles pertaining to a medical condition. The method includes receiving, from a server, the clustered event episode bundles comprising event information clustered into an episode based on when events occurred and a taxonomy of ontological medical knowledge, presenting, via the user interface, a timeline that represents a period of time, and presenting, via the user interface, the clustered event episode bundles pertaining to each patient of a plurality of patients in a respective band relative to the timeline.

Abstract: A method may include receiving a set of codes pertaining to an event performed for a patient, mapping the plurality of codes to a taxonomy of data to determine a utilization unit, mapping the utilization unit to ontological data of a medical condition, mapping the ontological data to a knowledge fragment pertaining to the medical condition and the patient, and causing the knowledge fragment to be presented on a computing device of a medical personnel.

Abstract: A method for controlling distribution of information pertaining to a medical condition is disclosed. The method may include receiving, at a server, an electronic medical record including notes pertaining to a patient. The method may also include processing the notes to obtain indicia. The method may also include identifying a possible medical condition of the patient by identifying a similarity between the indicia and a knowledge graph representing knowledge pertaining to the possible medical condition, wherein the knowledge graph includes a set of nodes representing the information pertaining to the possible medical condition. The method may also include providing, at a first time, first information of the information to a computing device of the patient for presentation on the computing device, the first information being associated with a root node of the set of nodes.

Abstract: A method is disclosed for managing risk associated with a medical condition diagnosed for a plurality of patients in a population, the method including creating, using an artificial-intelligence engine of a cognitive intelligence platform, a population profile including a plurality of patient graphs associated with the medical condition and the plurality of patients in the population, wherein each of the plurality of patient graphs includes information pertaining to how engaged a respective patient is with managing the medical condition. The method further including determining, based on the population profile, the risk associated with the medical condition, wherein the risk includes a potential inadequacy in management of the medical condition. The method may also include performing an intervention based on the risk.

Abstract: A method for diagnosing a medical condition through cognification of unstructured data is disclosed. The method may include receiving, at a server, an electronic medical record including notes pertaining to a patient. The method may also include generating cognified data using the notes, where the cognified data includes a health summary of the medical condition. The method may also include generating, based on the cognified data, a diagnosis of the medical condition of the patient, where the diagnosis at least identifies a type of the medical condition. The method may also include providing the diagnosis to a computing device for presentation on the computing device.

Abstract: A method includes receiving, at an artificial intelligence engine, a corpus of data for a patient, where the corpus of data includes a set of strings of characters. The method also includes identifying, in the set of strings of characters, indicia including a phrase, a predicate, a keyword, a subject, an object, a cardinal, a number, a concept, or some combination thereof. The method also includes comparing the indicia to a knowledge graph representing known health related information to generate a possible health related information pertaining to the patient. The method also includes identifying, using a logical structure, a structural similarity of the possible health related information and a known predicate in the logical structure. The method also includes generating, by the artificial intelligence engine, cognified data based on the structural similarity.

Abstract: A method for maintaining content pertaining to healthcare in a hyperledger, the method including receiving, from a computing device associated with a medical personnel entity, a transaction request to perform an operation on the hyperledger, wherein the operation includes storing content pertaining to healthcare in the hyperledger. The method also including executing one or more rules of the hyperledger to determine whether to allow the operation to be performed, wherein at least one of the one or more rules includes determining whether the medical personnel entity is associated with an authorizing credential pertaining to healthcare. Responsive to determining that the one or more rules of the hyperledger are satisfied, the method also including performing the operation on the hyperledger to store the content in the hyperledger.

Abstract: A method for performing a medical transaction using a hyperledger, the method including receiving, from a computing device associated with a medical personnel entity, a request to perform the medical transaction between the medical personnel entity and a patient entity, where the medical personnel entity is associated with a medical personnel node and the patient entity is associated with a patient node, and a respective copy of the hyperledger is maintained at both the medical personnel node and the patient node. The method includes identifying a transaction in the hyperledger that stores an authorizing credential of the medical personnel entity, determining whether to allow the medical transaction to be performed based on at least the authorizing credential of the medical personnel entity, and responsive to determining to allow the medical transaction to be performed, updating the respective copy of the hyperledger with the medical transaction.

Abstract: A method for answering questions posed by a user, the method comprising: receiving from a medical conversational user interface a user-generated natural language medical information query at an artificial intelligence-based medical conversation cognitive agent; extracting a medical question; compiling a medical conversation language sample; extracting internal medical concepts and medical data from the sample; inferring a therapeutic intent of the user; generating a therapeutic paradigm logical framework, wherein logical framework comprises medical logical progression paths from the medical question to respective therapeutic answers, each of the logical progression paths includes medical logical linkages from the medical question to a therapeutic path-specific answer, and the medical logical linkages include the internal medical concepts and external therapeutic paradigm concepts derived from a store of medical subject matter ontology data; selecting a likely medical information path based upon the therapeuti