Abstract: The present invention relates to effective diagnosis of patients and assisting clinicians in treatment planning. In particular, invention provides a medical analysis system that enables refinement of molecular classification. The system provides a molecular profiling solution that will allow improved diagnosis, prognosis, response prediction to provide the right chemotherapy, and follow-up to monitor for cancer recurrence.

Abstract: A clinical decision support system (100) is disclosed. The clinical decision support system (100) comprises a processor (102) configured to: establish a subject profile for defining a subject according to a plurality of features; identify a set of clinical trials that are relevant to the subject, wherein each clinical trial in the set of relevant clinical trials corresponds to at least one therapy has inclusion criteria that are satisfied by features of the plurality of features of the subject profile; rank the therapies corresponding to the relevant clinical trials; and output the ranking of the therapies for the subject. A method and a computer program product are also disclosed.

Abstract: A device, system, and method optimizes pathology workflows. The method performed at a workflow server includes receiving a plurality of digital slides associated with a pathology case, the pathology case associated with first information characterizing the pathology case. The method includes generating second information based on an analysis of the digital slides, the second information characterizing the digital slides. The method includes determining a plurality of tasks used in completing the pathology case based on the first and second information. The method includes determining a task performer to be assigned to perform a select one of the tasks. The method includes dispatching an assignment to the task performer corresponding to the selected task.

Abstract: A method provides fully autonomous patient matching by entities of a federated healthcare system. The method includes receiving an electronically formatted query for a patient from an autonomous healthcare entity in a federation of healthcare entities. The query includes at least an identifier of the entity, a unique patient identifier of the patient generated by the entity, and demographics of the patient. The method further includes searching a federated master patient index stored in master patient index storage for an entry likely to correspond to the patient. The method further includes identifying an entry for the patient. The method further includes updating the identified entry to include at least the identifier of the entity, the unique patient identifier of the patient generated by the entity and the demographics.

Abstract: The execution of a clinical trial is supported in the following manner. Patient model data is provided for modeling a patient-level workflow in the clinical trial in accordance with a trial protocol. Clinical data of patients participating in the clinical trial is accessed. Using a workflow engine, an instance of the patient-level workflow is instantiated for each of the patients to obtain a plurality of patient-level workflow instantiations. Each of the patient-level workflow instantiations is executed independently based on the clinical data of each respective one of the patients. The patient model data may include or be linked to a rule associated with a step of the patient-level workflow. The rule may be executed when the workflow engine reaches the step in one of the patient-level workflow instantiations. Accordingly, a virtual representation of the clinical trial on a patient-level is obtained which represents the actual state of the clinical trial yet which is computer-accessible.

Abstract: A system for linking corresponding patient information records is disclosed. A plurality of entities (1,1a) have respective patient databases comprising patient information records (3, 3a). Each entity (1, 1a) has associated therewith a patient identification algorithm (4,4a) for matching corresponding patient information records (3, 3a) of the same patient at different entities (1,1a). A linking subsystem (6) maintains a set of links (7) of a first entity (1) of the plurality of entities (1,1a). The linking subsystem (6) is arranged for linking patient information records (3) of the first entity (1) with corresponding patient information records (3a) of the other entities (1a). A link (ID, RID, RLoc) is established when a given patient information record (3) of the first entity (1) matches a corresponding patient information record (3a) of another entity (1a) based on the patient identification algorithm (4) of the first entity (1).

Abstract: A system and method for managing an executable medical treatment plan. The system and method perform the steps of analyzing one of treatment patterns and prior treatment patterns in view of patient information to generate treatment plan recommendations using a processor, receiving a user input regarding the treatment plan recommendations via a user interface and generating a current defined treatment plan based on the treatment plan recommendations and the user input regarding the treatment plan recommendations using the processor.

Abstract: A text analysis system is described. A natural language input unit (1) is arranged for enabling a user to input a free text (10) in a natural language. A natural language processing unit (2) is arranged for processing at least a portion of the free text (10) while it is being inputted, to obtain an explicit representation (11) of semantics represented by the free text. An explicit information input unit (3) is arranged for enabling the user to input explicit information (12) relating to the explicit representation (11) of semantics. The system comprises a visualization unit (4) for visualizing at least part of the explicit representation (11) to the user while the user is still inputting the free text (10). A user interface (5) is arranged for providing a user with simultaneous access to both the natural language input unit (1) and the explicit information input unit (3).

Abstract: The execution of a clinical trial is supported in the following manner. Patient model data is provided for modeling a patient-level workflow in the clinical trial in accordance with a trial protocol. Clinical data of patients participating in the clinical trial is accessed. Using a workflow engine, an instance of the patient-level workflow is instantiated for each of the patients to obtain a plurality of patient-level workflow instantiations. Each of the patient-level workflow instantiations is executed independently based on the clinical data of each respective one of the patients. The patient model data may comprise or be linked to a rule associated with a step of the patient-level workflow. The rule may be executed when the workflow engine reaches the step in one of the patient-level workflow instantiations. Accordingly, a virtual representation of the clinical trial on a patient-level is obtained which represents the actual state of the clinical trial yet which is computer-accessible.

Abstract: A system is provided for visually rendering longitudinal patient data. The system makes use of a screen template defining at least one visual element for being rendered on a display, with an appearance of the visual element being defined by a visualization parameter. The screen template associates the visual element with a clinical decision rule. During operation, longitudinal patient data is accessed and analyzed, namely by evaluating the clinical decision rule using a time portion of the longitudinal patient data as input to obtain a rule output, and by determining the visualization parameter of the visual element based on the rule output. The visual element is then rendered on the display in accordance with the visualization parameter, namely as part of the screen template. This yields a rendering which enables a user to more efficiently process the large amount of data provided by longitudinal patient data.

Abstract: A system and method for providing quality review of healthcare reporting and supporting quality improvement. The system and method performing the steps of multiplying a select number of cases of a plurality of cases to be analyzed using a processor, assigning the plurality of cases and multiplied cases to members of a work pool using the processor, retrieving case reports created by members of the work pool for the multiplied cases and analyzing case reports for one of the multiplied cases in a first review using the processor.

Abstract: When scheduling a clinical procedure such as a surgery, a clinician enters a deadline (i.e., a date of surgery or other procedure) and desired clinical procedures to be performed in advance thereof (e.g., lab tests, pathology tests, medical record review, etc.). A feasibility algorithm is executed and analyzes median pathway step completion times for a clinical pathway or workflow that is executed to satisfy the clinician's work order. A probability of completion of the clinical pathway by the specified deadline is also provided to the clinician. If the probability of completion is low (e.g., if the requested test results are unlikely to be ready by the scheduled surgery), then the clinician is prompted to adjust one or more of the surgery date and the clinical pathway steps to be completed thereby.

Abstract: A text analysis system is described. A natural language input unit (1) is arranged for enabling a user to input a free text (10) in a natural language. A natural language processing unit (2) is arranged for processing at least a portion of the free text (10) while it is being inputted, to obtain an explicit representation (11) of semantics represented by the free text. An explicit information input unit (3) is arranged for enabling the user to input explicit information (12) relating to the explicit representation (11) of semantics. The system comprises a visualization unit (4) for visualizing at least part of the explicit representation (11) to the user while the user is still inputting the free text (10).

Abstract: A clinical decision support system comprises a clinical guideline (1) extended with expert recommendations. At least one of the nodes (3) is associated with a pair (4) of a clinical question (5) and a corresponding clinical answer (6), the pair forming an extension to the clinical guideline (1) for the purpose of the clinical decision support. A node unit (7) is arranged for determining a node (3) of the plurality of nodes, based on a condition of a specific patient and the set of clinical preconditions of the node. A presenting unit (8) is arranged for presenting at least a part of the pair (4) of the question (5) and/or the corresponding clinical answer (6) associated with the relevant node (3). A matching unit (10) is arranged for matching a question against a collection of existing questions previously answered, in dependence on the relevant node (3).

Abstract: A method provides fully autonomous patient matching by entities of a federated healthcare system. The method includes receiving an electronically formatted query for a patient from an autonomous healthcare entity in a federation of healthcare entities. The query includes at least an identifier of the entity, a unique patient identifier of the patient generated by the entity, and demographics of the patient. The method further includes searching a federated master patient index stored in master patient index storage for an entry likely to correspond to the patient. The method further includes identifying an entry for the patient. The method further includes updating the identified entry to include at least the identifier of the entity, the unique patient identifier of the patient generated by the entity and the demographics.

Abstract: A system (100) for generating a refined medical query from a user medical query, the user medical query comprising a user medical term, and the system comprising an input (110) for receiving the user medical query from a user, an access controller (120) for accessing a medical guideline file (121) and a rules repository (122), the medical guideline file (121) comprising a medical information item, and the rules repository (122) comprising a rule linking the medical information item to the user medical term, and a query refiner (130) for generating the refined medical query from the user medical query by including the medical information item in the refined medical query and for providing the refined medical query to a search engine (140).

Abstract: A system for linking corresponding patient information records is disclosed. A plurality of entities (1,1a) have respective patient databases comprising patient information records (3, 3a). Each entity (1, 1a) has associated therewith a patient identification algorithm (4,4a) for matching corresponding patient information records (3, 3a) of the same patient at different entities (1,1a). A linking subsystem (6) maintains a set of links (7) of a first entity (1) of the plurality of entities (1,1a). The linking subsystem (6) is arranged for linking patient information records (3) of the first entity (1) with corresponding patient information records (3a) of the other entities (1a). A link (ID, RID, RLoc) is established when a given patient information record (3) of the first entity (1) matches a corresponding patient information record (3a) of another entity (1a) based on the patient identification algorithm (4) of the first entity (1).

Abstract: A system having a plurality of local image storage elements storing patient images, each patient image being indexed by a local patient identifier, an identity storage element, located remotely from the local storage elements, storing a global patient identifier corresponding to each of a plurality of patients and one or more of the local patient identifiers corresponding to each of the plurality of patients and a location storage element, located remotely from the local image storage elements, storing an index of the patient images, the index including the local image storage element location of each image and the corresponding global patient identifier.

Abstract: A method is provided for using assertions to reconcile records in a healthcare environment. Records are input, compared to a collection of previously input records and likelihood ratios indicating a probability of each input record match each of the collected records are calculated. The ratio is compared against two separate accept and reject criteria. Based on the comparison result it is decided whether a pair of records should be accepted as matching, rejected, or placed on a global exception list for manual review. The global exception list is split among the sites that are part of the federation, so that each site receives a local exception list referring to patients records at that site. Each site evaluates each pair of records in its local exception list and makes an assertion stating for each pair of records whether they are a match or a mis-match. This assertions derived during the manual review is placed in a global exception list and are accessible by other members in a federation of users.

Abstract: A system having a local image storage element storing patient studies indexed by a local patient identifier, a local identity storage element storing a local identity list including a global patient identifier corresponding to each of a plurality of patients having studies stored on the local image storage element and one or more of the local patient identifiers corresponding to each of the patients, the local identity list being a subset of a global identity list stored remotely from the local identity storage element and a local location storage element storing a local index of the patient studies stored on the local image storage element and further patient studies stored on further local image storage elements for each of the plurality of patients, the index including a storage location of each study and the corresponding global patient identifier, the local index being a subset of a global index stored remotely.