Abstract: The present disclosure pertains to a system for providing model-based predictions of actively managed patients. In some embodiments, the system (i) obtains a collection of information related to a payer-attributed population of patients associated with a provider; (ii) extracts, from the collection of information, health insurance claims data, clinical data, process data, and patient encounter data; (iii) provides the health insurance claims data, clinical data, process data, and patient encounter data to a machine learning model to train the machine learning model; (iv) causes the machine learning model to predict familiarity values associated with patients of the population of patients; and (v) generates a provider assessment based on the familiarity values and the collection of information.

Abstract: Computer implemented methods and systems of flagging a portion of a recording of a patient interaction with a clinical professional for review. A method comprises acquiring a recording of a patient interaction with a clinical professional, acquiring physical data relating to a physical state of the patient during the recording, and based on the physical data, flagging a portion of the recording for review.

Abstract: Systems and methods for providing an indication of the relative condition of neonatal subjects. Test datasets are obtained which describe monitored vital functions of a test subject. The test dataset is compared with one or more previously obtained model datasets describing model vital functions. Based on the comparison of the test datasets with the model datasets of vital functions a progress prediction for the development of the vital functions of the test subject may be determined. An indication of the progress prediction for the development of vital functions may be presented to a user to assist in the future handling of the test subject.

Abstract: A method, gesture input devices and a computer program product are provided for gesture enabled simultaneous selection of range and value. A user makes a gesture with two fingers (210, 220) to select a range of values (e.g. one of a range of seconds, minutes or hours) and select a value from this selected range of values (e.g. if the selected range of values is hours, a value between 00-23 hours). The gesture is captured using a camera based input device or a touch input device, which detects two user input contact points (230, 240). The distance (250) between these two user input contact points (230, 240) determines the selected range of values. The selection of the value from this selected range of values is determined by an angle (280) between two imaginary lines (250, 270). The first imaginary line (250) is the line between the first (230) and second (240) user input contact point.