Abstract: Virtual reality system and method improve clinical outcomes. The virtual reality system includes a virtual display device capable of providing virtual reality images to a patient; one or more actuators capable of providing physical experience to the patient; and a controller. The controller is capable of: automatically selecting a treatment model based upon one or both of (a) a received identity of a medical treatment applied to the patient and (b) a received identity of a targeted disease of the patient; and coordinating the virtual display device and the one or more actuators to provide a synchronized immersive virtual reality environment for the patient to experience based upon the treatment model.

Abstract: Systems, methods, and software products analyze healthcare data. First input data is collected from a first source and second input data is collected from a second source disparate from the first source. The second source has a data format that is different from a format of the first source. The first input data is processed to determine a first concept and the second input data is processed to determine a second concept. A relationship between the first and second concepts is determined. The first and second concepts are stored within a knowledgebase based upon the relationship and a patient medical model is generated from the knowledgebase.

Abstract: A treatment recommendation system includes a computing platform having a hardware processor and a system memory storing a treatment recommendation software code. The treatment recommendation software code receives use case and outcome history data for each of multiple treatments, extracts medical data for subpopulations within a cohort of subjects diagnosed with a condition treatable using the treatments, and transforms the use case and outcome history data and the medial data into value scores corresponding respectively to a value of each of the treatments for treatment of the condition in each subpopulation. The treatment recommendation software code also receives a query for treatment of the condition in a patient identified with one of the subpopulations, forecasts a risk of the condition progressing to an advanced stage for the patient, and generates one or more treatment recommendations for the patient based on the value scores and the risk.

Abstract: A system for training a cirrhosis forecast model includes a computing platform having a hardware processor and a memory storing a software code for training the cirrhosis forecast model. The hardware processor executes the software code to receive medical data for each of multiple human subjects, assign a subset of the human subjects as a training group for the cirrhosis forecast model, and identify cirrhosis predictive parameters from the medical data for the training group. The hardware processor also executes the software code to generate a cirrhosis forecast model including a weighted combination of the cirrhosis predictive parameters, produce, using the cirrhosis forecast model, a cirrhosis prediction for at least one of the human subjects omitted from the training group, determine an accuracy of the cirrhosis prediction, and adapt the cirrhosis forecast model based on the accuracy of the cirrhosis prediction.

Abstract: Virtual reality system and method improve clinical outcomes. The virtual reality system includes a virtual display device capable of providing virtual reality images to a patient; one or more actuators capable of providing physical experience to the patient; and a controller. The controller is capable of: automatically selecting a treatment model based upon one or both of (a) a received identity of a medical treatment applied to the patient and (b) a received identity of a targeted disease of the patient; and coordinating the virtual display device and the one or more actuators to provide a synchronized immersive virtual reality environment for the patient to experience based upon the treatment model.

Abstract: A patient coordination system, method and software product receives configuration of a hospital within a server. A hospital model is determined based upon the configuration. Location of each patient within the hospital is received. A course through hospital for each patient is received. Status for each patient is received from independently run hospital services. Progress of each patient through the corresponding course is determined and a dashboard showing the hospital model with spatial indication of the progress for each patient is generated.

Abstract: A medical feedback continuum systems, method, and software product processes healthcare data of a plurality of patients collected from disparate sources to determine a patient medical model of one of the plurality of patients. A medical intensity status is generated from the patient medical model and displayed to a doctor during a consultation of the doctor with the one patient. Healthcare information is collected during the consultation and processed to determine an intended intervention prescribed by the doctor for the one patient. An outcome of the intervention is predicted based upon analytics of the patient medical model, and whether the predicted outcome of the intervention is favorable for the one patient is determined.

Abstract: A computer-implemented method includes: (1) receiving at least one patient note from an electronic medical record (EMR) system as a source text narrative; (2) deriving lexical chains corresponding to themes in the source text narrative; (3) scoring the lexical chains with respect to a medical taxonomy to identify higher scoring lexical chains among the lexical chains; (4) scoring sentences in the source text narrative with respect to the higher scoring lexical chains to identify higher scoring sentences among the sentences; and (5) creating a textual summary of the source text narrative from the higher scoring sentences.