Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a repetitive portion identification and weighting engine. A machine learning model is trained for weighting repetitive portions of patient electronic medical records (EMRs). A repetitive portion identification component applies a plurality of templates to clinical notes of a patient EMR to identify one or more candidate portions that match at least one of the plurality of templates. A content analysis component performs content analysis on the one or more candidate portions to determine whether each given candidate portion is relevant. A weighting component assigns a relative weight to each given candidate portion based on relevance.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a repetitive portion identification and weighting engine. A machine learning model is trained for weighting repetitive portions of patient electronic medical records (EMRs). A repetitive portion identification component applies a plurality of templates to clinical notes of a patient EMR to identify one or more candidate portions that match at least one of the plurality of templates. A content analysis component performs content analysis on the one or more candidate portions to determine whether each given candidate portion is relevant. A weighting component assigns a relative weight to each given candidate portion based on relevance.

Abstract: Automatic determination of underlying reasons for lack of treatment adherence is provided. In various embodiments, patient information for a patient is retrieved. The patient information comprises a treatment plan. A failure of compliance with the treatment plan by the patient is determined from the patient information. The failure of compliance and the patient information are evaluated to determine one or more potential cause of the failure of compliance. The one or more potential cause is provided to a user for review.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for identifying symptoms based on digital media. The method includes one or more processors receiving digital media and information associated with a first animal from a user. The method further includes one or more processors identifying data records, stored in a knowledge database, that are respectively associated with an animal that is similar to the first animal. The method further includes one or more processors determining symptom information corresponding to the first animal based on a comparison of the received digital media and information associated with the first animal and the identified data records. The method further includes presenting the determined symptom information to a user.

Abstract: Embodiments of the present disclosure relate to dynamically creating a questionnaire for a patient to fill out while waiting to be seen by a healthcare provider. In various embodiments, an initial differential diagnosis may be determined from the dynamic questionnaire. A set of known medical queries and medical information from a set of known medical documents are grouped into categories. A bipartite graph is generated between the categories of medical information and categories of medical queries. A first query is selected and a user is prompted for input of medical data. A first set of candidate diagnoses is determined based on the user input. The remaining queries are classified to determine a ranking. One or more additional queries are selected from the ranked remaining queries, prompting a user for input of additional medical data. A second set of candidate diagnoses is selected based on the additional medical data.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a repetitive portion identification and weighting engine. A machine learning model is trained for weighting repetitive portions of patient electronic medical records (EMRs). A repetitive portion identification component applies a plurality of templates to clinical notes of a patient EMR to identify one or more candidate portions that match at least one of the plurality of templates. A content analysis component performs content analysis on the one or more candidate portions to determine whether each given candidate portion is relevant. A weighting component assigns a relative weight to each given candidate portion based on relevance.

Abstract: A mechanism is provided for implementing an augmented reality display via a head mounted display (HMD) system that indicates areas of a patient's body corresponding to a medical condition and/or treatment of the patient overlayed on the actual view of the patient. A real-time image of an area of a patient's body being viewed by a medical professional is captured via the HMD system. One or more body parts of the patient are identified within the real-time image. The one or more identified body parts are correlated with the patient's electronic medical records (EMRs) indicating the medical condition and/or treatments associated with the patient. An augmented reality display is then generated in the HMD system of one or more areas of the patient's body corresponding to the medical condition and/or treatment of the patient overlaying the real-time image of the area of the patient's body.

Abstract: A mechanism is provided for implementing an augmented reality display via a head mounted display (HMD) system that indicates areas of a patient's body corresponding to a medical condition and/or treatment of the patient overlayed on the actual view of the patient. A real-time image of an area of a patient's body being viewed by a medical professional is captured via the HMD system. One or more body parts of the patient are identified within the real-time image. The one or more identified body parks are correlated with the patient's electronic medical records (EMRs) indicating the medical condition and/or treatments associated with the patient. An augmented reality display is then generated in the HMD system of one or more areas of the patient's body corresponding to the medical condition and/or treatment of the patient overlaying the real-time image of the area of the patient's body.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a repetitive portion identification and weighting engine. A machine learning model is trained for weighting repetitive portions of patient electronic medical records (EMRs). A repetitive portion identification component applies a plurality of templates to clinical notes of a patient EMR to identify one or more candidate portions that match at least one of the plurality of templates. A content analysis component performs content analysis on the one or more candidate portions to determine whether each given candidate portion is relevant. A weighting component assigns a relative weight to each given candidate portion based on relevance.

Abstract: A method, computing system and computer program product are provided. A first entity system that stores sensitive information associated with different entities applies a hash function a portion of the sensitive information to produce hash values. Transaction information pertaining to transactions performed on entity systems are stored within a blockchain database accessible to the entity systems. The transaction information includes hash values corresponding to associated entities from the entity systems. The hash values of the first entity system are compared to the hash values from others of the entity systems to determine entity systems containing information pertaining to same entities. The sensitive information for an entity of the first entity system is exchanged with the determined entity systems containing information for that entity.

Abstract: Patient assistant systems are provided. In various embodiments, health data of a user is read from one or more data source. A cohort of the user is determined based on a primary diagnosis of the user. The health data of the user includes the primary diagnosis. A co-morbidity of the primary diagnosis within the cohort is determined. One or more predictor of the co-morbidity within the cohort is determined. Assistance information is provided to the user based on the one or more predictor. The assistance information includes the predictor and one or more recommendation to mitigate the co-morbidity.

Abstract: Automatic determination of underlying reasons for lack of treatment adherence is provided. In various embodiments, patient information for a patient is retrieved. The patient information comprises a treatment plan. A failure of compliance with the treatment plan by the patient is determined from the patient information. The failure of compliance and the patient information are evaluated to determine one or more potential cause of the failure of compliance. The one or more potential cause is provided to a user for review.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for identifying symptoms based on digital media. The method includes one or more processors receiving digital media and information associated with a first animal from a user. The method further includes one or more processors identifying data records, stored in a knowledge database, that are respectively associated with an animal that is similar to the first animal. The method further includes one or more processors determining symptom information corresponding to the first animal based on a comparison of the received digital media and information associated with the first animal and the identified data records. The method further includes presenting the determined symptom information to a user.

Abstract: A method, computing system and computer program product are provided. A first entity system that stores sensitive information associated with different entities applies a hash function a portion of the sensitive information to produce hash values. Transaction information pertaining to transactions performed on entity systems are stored within a blockchain database accessible to the entity systems. The transaction information includes hash values corresponding to associated entities from the entity systems. The hash values of the first entity system are compared to the hash values from others of the entity systems to determine entity systems containing information pertaining to same entities. The sensitive information for an entity of the first entity system is exchanged with the determined entity systems containing information for that entity.

Abstract: Mechanisms are provided to implement secure distributed patient consent and patient information management that addresses the competing needs for efficient access to electronic medical records by authorized parties while maintaining protection of privacy of patient health related information and complying with governing regulations. The mechanisms of the illustrative embodiments implement a tamper-proof and immutable ledger storage system to manage patient consent information and distribution of patient information based on the patient consent information. The ledger storage system operates in conjunction with a master patient record index (MPRI) component to enable the exchange of patient information among health providers once consent has been granted by the patient.

Abstract: Mechanisms are provided for executing patient information transactions. The mechanism store, in a ledger storage system, for each patient, a history of patient consents associated with patient transactions in a healthcare network, comprising patient consent data structures associated with the patient information transferred between participants as part of the transaction. The mechanisms store a master patient record index (MPRI) for each of the patients. The MPRI stores record locators identifying locations of portions of patient information for the patient on different computing devices associated with different health providers. The mechanisms execute, by a transaction manager, a transaction to grant access to a portion of a patient's information based on consent information stored in the ledger storage system and record locators in the MPRI. The mechanisms update, by a ledger storage engine of the data processing system, the history of transactions based on the execution of the transaction.

Abstract: An information processing system for performing a transform of a multidimensional matrix in a distributed memory network. The method includes storing a multidimensional matrix of side N in a distributed memory network with a plurality of nodes and distributing work associated with a calculation of a transform of the matrix among N2 of the plurality of nodes. The system further includes a receiver for receiving results of the calculation of the transform of the matrix by the nodes.

Abstract: A computer readable storage medium for performing a transform of a multidimensional matrix in a distributed memory network by: storing a multidimensional matrix of side N in a distributed memory network with a plurality of nodes and distributing work associated with a calculation of a transform of the matrix among N2 of the plurality of nodes. The medium further receives results of the calculation of the transform of the matrix by the nodes.

Abstract: An information processing system for performing a transform of a multidimensional matrix in a distributed memory network. The method includes storing a multidimensional matrix of side N in a distributed memory network with a plurality of nodes and distributing work associated with a calculation of a transform of the matrix among N2 of the plurality of nodes. The system further includes a receiver for receiving results of the calculation of the transform of the matrix by the nodes.

Abstract: A computer readable storage medium for performing a transform of a multidimensional matrix in a distributed memory network by: storing a multidimensional matrix of side N in a distributed memory network with a plurality of nodes and distributing work associated with a calculation of a transform of the matrix among N2 of the plurality of nodes. The medium further receives results of the calculation of the transform of the matrix by the nodes.