Abstract: A stateless, on-demand semantic indexing and search service for a health information exchange is provided that anticipatorily fetches data from one or more external sources, extracts semantic concepts from textual documents, and serves an in-memory semantic search index to users to ease finding of relevant patient data across a set of distributed health record data sources. Clinicians may search for not only text, but for semantic concepts, and the search index is able to return relevant results regardless of whether the source information is located inside or outside the local electronic health record. Predictive algorithms may be incorporated to pre-fetch, semantically process and index data for patients likely to be searched in an upcoming time window. Activity indicators for clinicians and patients may be utilized to pre-fetch, semantically process, and index data.

Abstract: Systems, methods, and user interfaces infer data organization for display. An inference system learns patterns of how various healthcare items are typically grouped on a display so data can be aggregated and displayed in appropriate groupings to a clinician user. From a user perspective, it appears as though the display has been manually edited or a mapping has been created so that items are displayed in appropriate groups, even though neither editing nor mapping has been performed.

Abstract: In some examples, a word embedding is received. A word embedding includes a plurality of vectors in vector space. Each vector of the plurality of vectors represents a natural language word or other character sequence. Each vector is oriented in vector space based on a semantic similarity between each of the natural language word or other character sequence. A first distance is determined between a first vector and a second vector. A second distance is determined between a third vector and the second vector. Based at least in part on the first distance between the first vector and the second vector and the second distance between the third vector and the second vector, the third vector is moved closer or further away from the second vector. The moving is indicative of introducing a bias or removing a bias between the third vector and the second vector. This introducing or removing of bias supports more accurate and inclusive results from an application such as search of healthcare data, among other things.

Abstract: A stateless, on-demand semantic indexing and search service for a health information exchange is provided that anticipatorily fetches data from one or more external sources, extracts semantic concepts from textual documents, and serves an in-memory semantic search index to users to ease finding of relevant patient data across a set of distributed health record data sources. Clinicians may search for not only text, but for semantic concepts, and the search index is able to return relevant results regardless of whether the source information is located inside or outside the local electronic health record. Predictive algorithms may be incorporated to pre-fetch, semantically process and index data for patients likely to be searched in an upcoming time window. Activity indicators for clinicians and patients may be utilized to pre-fetch, semantically process, and index data.

Abstract: Methods, computer systems, and computer storage media are provided for providing real-time analysis and annotation of clinical documents in a distributed system. A clinical transformation session is opened at a clinical transformation server maintaining sessions for one or more editors and agents operating on a clinical document. Sequences of operations on the clinical document are stored at a memory accessible by the server. At least a portion of the clinical document is analyzed in real-time to provide annotations and other document modifications to each of the one or more editors having a session at the server. Parallel annotations or modifications are resolved and a synchronized view of the clinical document is maintained based on operational transformation.

Abstract: A stateless, on-demand semantic indexing and search service for a health information exchange is provided that anticipatorily fetches data from one or more external sources, extracts semantic concepts from textual documents, and serves an in-memory semantic search index to users to ease finding of relevant patient data across a set of distributed health record data sources. Clinicians may search for not only text, but for semantic concepts, and the search index is able to return relevant results regardless of whether the source information is located inside or outside the local electronic health record. Predictive algorithms may be incorporated to pre-fetch, semantically process and index data for patients likely to be searched in an upcoming time window. Activity indicators for clinicians and patients may be utilized to pre-fetch, semantically process, and index data.

Abstract: A method, computing device and computer program product are provided to define a level of assurance in one or more links between patient records that relate to the same person based upon external information. In the context of a method, one or more links are identified between a patient record associated with a person and pre-existing patient records. Each pre-existing patient record has a plurality of demographic attributes associated with a patient. The method identifies one or more links based upon an analysis of the demographic attributes of the person and the respective patients associated with the pre-existing patient records. The method receives external information regarding a relationship between the person and the respective patients associated with the pre-existing patient records or regarding confirmation of an identity of the person. The method also defines a level of assurance in the respective one or more links based upon the external information.

Abstract: Methods are provided for sharing patient information by way of an online collaboration system. A requesting clinician, through an online networking system, identifies one or more clinicians with whom the requesting clinician wishes to collaborate by sending at least one patient-focused clinical data element. For the clinicians who have been identified as not being authorized to access patient-identifying data, the at least one patient-focused clinical data element is de-identified such that it no longer includes any patient-identifying data. The de-identified patient-focused clinical data element is then communicated to the clinicians not allowed access to the patient-identifying information.

Abstract: Methods, computer systems, and computer storage media are provided for providing real-time analysis and annotation of clinical documents in a distributed system. A clinical transformation session is opened at a clinical transformation server maintaining sessions for one or more editors and agents operating on a clinical document. Sequences of operations on the clinical document are stored at a memory accessible by the server. At least a portion of the clinical document is analyzed in real-time to provide annotations and other document modifications to each of the one or more editors having a session at the server. Parallel annotations or modifications are resolved and a synchronized view of the clinical document is maintained based on operational transformation.

Abstract: Methods, computer systems, and computer storage media are provided for providing real-time analysis and annotation of clinical documents in a distributed system. A clinical transformation session is opened at a clinical transformation server maintaining sessions for one or more editors and agents operating on a clinical document. Sequences of operations on the clinical document are stored at a memory accessible by the server. At least a portion of the clinical document is analyzed in real-time to provide annotations and other document modifications to each of the one or more editors having a session at the server. Parallel annotations or modifications are resolved and a synchronized view of the clinical document is maintained based on operational transformation.

Abstract: Methods, computer systems, and computer storage media are provided for providing real-time analysis and annotation of clinical documents in a distributed system. A clinical transformation session is opened at a clinical transformation server maintaining sessions for one or more editors and agents operating on a clinical document. Sequences of operations on the clinical document are stored at a memory accessible by the server. At least a portion of the clinical document is analyzed in real-time to provide annotations and other document modifications to each of the one or more editors having a session at the server. Parallel annotations or modifications are resolved and a synchronized view of the clinical document is maintained based on operational transformation.

Abstract: Methods, computer systems, and computer storage media are provided for providing real-time analysis and annotation of clinical documents in a distributed system. A clinical transformation session is opened at a clinical transformation server maintaining sessions for one or more editors and agents operating on a clinical document. Sequences of operations on the clinical document are stored at a memory accessible by the server. At least a portion of the clinical document is analyzed in real-time to provide annotations and other document modifications to each of the one or more editors having a session at the server. Parallel annotations or modifications are resolved and a synchronized view of the clinical document is maintained based on operational transformation.

Abstract: Systems, methods, and user interfaces infer data organization for display. An inference system learns patterns of how various healthcare items are typically grouped on a display so data can be aggregated and displayed in appropriate groupings to a clinician user. From a user perspective, it appears as though the display has been manually edited or a mapping has been created so that items are displayed in appropriate groups, even though neither editing nor mapping has been performed.

Abstract: Loosely-structured or unstructured threaded conversations are captured from at least one clinician. Based on a semantic analysis of the loosely-structured or unstructured threaded conversations from the at least one clinician, an issue corresponding to a clinical concern is identified. Upon the at least one virtual consultant accepting an invitation to collaborate on the issue, the at least one virtual consultant is provided the loosely-structured or unstructured threaded conversations from the at least one clinician. The at least one virtual consultant is further enabled to add contributions to the issue.

Abstract: A stateless, on-demand semantic indexing and search service for a health information exchange is provided that anticipatorily fetches data from one or more external sources, extracts semantic concepts from textual documents, and serves an in-memory semantic search index to users to ease finding of relevant patient data across a set of distributed health record data sources. Clinicians may search for not only text, but for semantic concepts, and the search index is able to return relevant results regardless of whether the source information is located inside or outside the local electronic health record. Predictive algorithms may be incorporated to pre-fetch, semantically process and index data for patients likely to be searched in an upcoming time window. Activity indicators for clinicians and patients may be utilized to pre-fetch, semantically process, and index data.

Abstract: Methods, systems, and computer-readable media are provided to detect incremental changes in clinical documents associated with a patient. A user selection is received indicating that a user wants to compare two or more clinical documents that are associated with the patient or authored by the same clinician, enabling the user to become up-to-date on the patient's care. A first clinical document and a second clinical document are identified. For the first clinical document and the second clinical document, differences are algorithmically determined. The first clinical document is transformed into a new representation of the first clinical document. Further, the second clinical document is transformed into a new representation of the second clinical document. One or more of the new representations of the first and the second clinical documents are displayed, assisting the user to quickly find and understand the differences between the documents.

Abstract: Processes implemented within a computer system for preventing atypical clinical events resulting from administering unsuitable clinical agent(s) are provided. Initially, the processes involve receiving a list of possible clinical agent(s) that may be administered to a patient during a medical procedure. The processes further involve acquiring heredity data associated with the clinical agent(s) by comparing the clinical agent(s) against a data set or the patient's medical records. If the heredity data indicates that the patient scheduled to receive the clinical agent(s) would experience atypical clinical events as a potential outcome, a warning that the clinical agent(s) should not be administered by a clinician is presented or reference information about the atypical clinical event is output. Accordingly, a preemptive determination of the atypical clinical events potentially occurring upon administering the clinical agent(s) to the patient is made.

Abstract: Methods, computer systems, and computer storage media are provided for providing real-time analysis and annotation of clinical documents in a distributed system. A clinical transformation session is opened at a clinical transformation server maintaining sessions for one or more editors and agents operating on a clinical document. Sequences of operations on the clinical document are stored at a memory accessible by the server. At least a portion of the clinical document is analyzed in real-time to provide annotations and other document modifications to each of the one or more editors having a session at the server. Parallel annotations or modifications are resolved and a synchronized view of the clinical document is maintained based on operational transformation.

Abstract: Processes implemented within a computer system for preventing atypical clinical events resulting from administering unsuitable clinical agent(s) are provided. Initially, the processes involve receiving a list of possible clinical agent(s) that may be administered to a patient during a medical procedure. The processes further involve acquiring heredity data associated with the clinical agent(s) by comparing the clinical agent(s) against a data set or the patient's medical records. If the heredity data indicates that the patient scheduled to receive the clinical agent(s) would experience atypical clinical events as a potential outcome, a warning that the clinical agent(s) should not be administered by a clinician is presented or reference information about the atypical clinical event is output. Accordingly, a preemptive determination of the atypical clinical events potentially occurring upon administering the clinical agent(s) to the patient is made.

Abstract: A method and system in a computing environment for inferring genetic findings for a patient is provided. The method includes receiving a request for genetic findings for a person from another application or a user. The method further includes inquiring as to whether the person has the genetic findings. If not, the method automatically provides inferred genetic findings for the person. The inferred genetic findings are calculated using genetic findings for family members of the patient, linkage analysis, haplotype analysis, semantic test results for the person and/or population genetics information.