Abstract: A system, method and tangible computer readable storage medium for storing a computer-implemented guideline, wherein the computer-implemented guideline includes a plurality of device independent nodes, determining a current state of the computer-implemented guideline, wherein the current state relates to one of the device independent nodes, retrieving device features relating to a device on which the one of the device independent nodes of the computer-implemented guideline is to be performed, modifying the one of the device independent nodes based on the device features to generate a device specific node and instantiating the device specific node on the device.

Abstract: An oncology monitoring system comprises: an image analysis module (42, 44) configured to perform an oncological monitoring operation based on images of a subject, for example acquired by positron emission tomography (PET) and computed tomography (CT); and a clinical guideline support module (10). The clinical guideline support module is configured to: display a graphical flow diagram (GFD) of a clinical therapy protocol for treating the subject comprising graphical blocks (B0, B1, B2, B3, B4, B5, B21, B211, B22, B221, B222, B223, B23, B231, B232) representing therapeutic or monitoring operations of the clinical therapy protocol including at least one monitoring operation performed by the image analysis module; annotate a graphical block of the graphical flow diagram with subject-specific information pertaining to a therapeutic or monitoring operation represented by the graphical block; and display an annotation (POP) of a graphical block (B211) responsive to selection of the graphical block by a user.

Abstract: Provided herein are computer implemented methods, systems and processes for determining a transmission metric or transmission path for related pathogens. Also provided herein is a non-transitory computer-readable storage medium with an executable program stored thereon, which program is configured to instruct a microprocessor to generate a transmission path for related pathogens.

Abstract: A method of retrieving similar patient cases from a medical database includes matching a current patient case against a plurality of clinical profiles resulting in a set of matching clinical profiles. The method further includes determining a degree of membership of the current patient case in each clinical profile from the set of matching clinical profiles based upon a degree of match between the current patient case and the clinical profile. For at least one clinical profile from the set of matching clinical profiles, the method includes retrieving those similar patient cases from the medical database that have a substantially corresponding degree of membership as the current patient case.

Abstract: A system, method and tangible computer readable storage medium for storing a computer-implemented guideline, wherein the computer-implemented guideline includes a plurality of device independent nodes, determining a current state of the computer-implemented guideline, wherein the current state relates to one of the device independent nodes, retrieving device features relating to a device on which the one of the device independent nodes of the computer-implemented guideline is to be performed, modifying the one of the device independent nodes based on the device features to generate a device specific node and instantiating the device specific node on the device.

Abstract: A method of synchronizing a state of a computer interpretable guideline engine with a state of patient care includes receiving historic workflow data and clinical data for one or more patients, wherein the workflow data includes information on a plurality of care steps for each of the patients and the clinical data includes clinical measurements and observations collected from each of the patients, determining the proper state of the computer interpretable guideline engine by processing the workflow and clinical data in chronological order for each of the patients, and inferring missing data from available data or querying it from clinicians.

Abstract: An update message from a first group of one or more clinical devices (802) is received over a communications network (504). The update message includes patient data and identifies a computer interpretable guideline (CIG) instance corresponding to a patient of the patient data. The CIG instance is updated (804) using the patient data and one or more CIG recommendations are determined (806) based on the updated CIG instance. The CIG recommendations are communicated (808) to a second group of one or more clinical devices over the communications network (504). Also disclosed, a narrative guideline is received from a guideline publisher and/or business entity (102) over a communications network (104). The narrative guideline is transformed to a computer represented guideline (CRG) abstractly representing the narrative guideline on the basis of usage. The translation includes linking text fragments in the narrative guideline to instantiated language constructs.

Abstract: There are provided a method, system and medium having instructions embedded to determine an attribute of a simulated patient's state resulting from a patient-physician encounter. The method includes receiving a current treatment move and an initial value of the attribute; calculating a maximal expected incremental effect value of the current treatment move over a previous treatment move on the attribute; attenuating the maximal expected incremental effect value based on amount of time between the previous treatment move and the current treatment move; summing the attenuated maximal expected incremental effect value with the initial value to generate an updated attribute of the simulated patient's state; and generating a patient-physician encounter that includes the updated attribute.

Abstract: When annotating a patient's medical or clinical record, an automated annotation system compares aggregated patient data (e.g., historical vital sign data, lab results, patient admission/discharge/transfer information, etc.) and matches events and/or patterns therein to procedure profiles to determine whether a given procedure is required, in progress, or completed. If the probability of procedure necessity or occurrence is above a predetermined threshold, then system inserts an annotation into the clinical record to mitigate a need for a clinician to manually enter the annotation. Alarm parameters are adjusted to reflect a physiological response to the determined procedure, to reduce false alarm triggers. Additionally or alternatively, triggered advisories may be suppressed from the user interface for a time period during which conditions specified in the procedure profile exist, or for a specific period of time following the procedure.

Abstract: An oncology monitoring system comprises: an image analysis module (42, 44) configured to perform an oncological monitoring operation based on images of a subject, for example acquired by positron emission tomography (PET) and computed tomography (CT); and a clinical guideline support module (10). The clinical guideline support module is configured to: display a graphical flow diagram (GFD) of a clinical therapy protocol for treating the subject comprising graphical blocks (B0, B1 B2, B3, B4, B5, B21, B211, B22, B221, B222, B223, B23, B231, B232) representing therapeutic or monitoring operations of the clinical therapy protocol including at least one monitoring operation performed by the image analysis module; annotate a graphical block of the graphical flow diagram with subject-specific information pertaining to a therapeutic or monitoring operation represented by the graphical block; and display an annotation (POP) of a graphical block (B211) responsive to selection of the graphical block by a user.

Abstract: A decision support apparatus (100) includes a subject record database (102), a temporally dependent relationship identifier (104), an event predictor (130), a coded subject record database (106), a decision support system processor (108), and a user interface (110). The temporally dependent relationship identifier processes the data in the subject record database (102) to identify temporally dependent relationships in the data. Information indicative of the identified relationships is processed by the processor (108) and presented to a user via the user interface (110).

Abstract: A method of retrieving similar patient cases from a medical database includes matching a current patient case against a plurality of clinical profiles resulting in a set of matching clinical profiles. The method further includes determining a degree of membership of the current patient case in each clinical profile from the set of matching clinical profiles based upon a degree of match between the current patient case and the clinical profile. For at least one clinical profile from the set of matching clinical profiles, the method includes retrieving those similar patient cases from the medical database that have a substantially corresponding degree of membership as the current patient case.

Abstract: There are provided a method, system and medium having instructions embedded to determine an attribute of a simulated patient's state resulting from a patient-physician encounter. The method includes receiving a current treatment move and an initial value of the attribute; calculating a maximal expected incremental effect value of the current treatment move over a previous treatment move on the attribute; attenuating the maximal expected incremental effect value based on amount of time between the previous treatment move and the current treatment move; summing the attenuated maximal expected incremental effect value with the initial value to generate an updated attribute of the simulated patient's state; and generating a patient-physician encounter that includes the updated attribute.