Abstract:
The present disclosure pertains to a method and system configured for facilitating computer-assisted healthcare-related outlier detection via automated threshold-based contributing factor detection. The system comprises at least one processor configured to obtain contributing factor candidates for one or more healthcare-related metrics; process a collection of healthcare records associated with an entity to assess the one or more healthcare-related metrics with respect to the entity; determine, a healthcare-related metric having a value that satisfies an outlier detection threshold; determine one or more subsets of contributing factors from the contributing factor candidates; modify one or more weights associated with the one or more subsets of contributing factors; and reprocess the collection of healthcare records to reassess the one or more healthcare-related metrics with respect to the entity and the extent of impact of at least some of the contributing factor candidates on the one or more healthcare-related metrics.
Abstract:
Disclosed is a computer-implemented method (1) of assigning a task to a mobile communication device (212, 222) belonging to a pool (210, 220) of mobile communication devices, wherein each mobile communications device is associated with a trusted owner and is locatable by means of location information, the method comprising generating (10) a task to be performed; generating a set of task locations at which the task can be performed; receiving (20) location information for said mobile communications devices; deriving (30) a location for each mobile communications device from said location information; using the derived location to calculate (40) a cost score for each mobile communication device, said cost score indicating the cost of the trusted owner of said mobile communication device to reach a target location; and assigning (60) the task to a selected location in said set and to one of said mobile communications devices, wherein the task is assigned to the one of said mobile communications devices based on the calculated cost scores. A computer program product including program code for executing this method on a computer processor and a system adapted to execute this method are also disclosed.
Abstract:
The present disclosure pertains to a method and system configured for facilitating performance irregularity detection. The system comprises one or more physical computer processors configured to obtain a collection of records associated with a user; select one or more criteria to evaluate a performance of the user; determine impact of contributing factors on the one or more criteria; determine a criterion from the one or more criteria that has a value that satisfies an irregularity detection threshold associated with the criterion; determine one or more subsets of contributing factors from the contributing factors; modify one or more weights associated with the determined one or more subsets of contributing factors; and redetermine the criterion using the modified weights associated with the one or more subsets of contributing factors to identify which contributing factors of the one or more subsets of contributing factors cause the criterion to breach the irregularity detection threshold.
Abstract:
A system for uniformly correlating unstructured entry features included in unstructured therapy entries to associated therapy features in structured therapy information is disclosed. The system obtains unstructured therapy entries and identifies unstructured entry features within the individual unstructured therapy entries. The unstructured therapy entry features are correlated to corresponding associated therapy features. The correlation of unstructured entry features to associated therapy features is based on contextual information associated with the individual unstructured therapy entries. Contextual information associated with the unstructured therapy entry includes the syntax of the unstructured therapy entry, a creator of the unstructured therapy entry, and/or the format of the unstructured therapy entry.
Abstract:
The present invention provides a system and method for evaluating Range of Motion of a subject. An aspect of the present invention proposes a system for evaluating Range of Motion of a subject, comprising markers attached to at least two joints of a body part of the subject respectively; an image capturing device for capturing images of the markers when the subject is doing an exercise with the body part attached with the at least two markers; and an evaluating device communicated with the image capturing device, wherein the evaluating device includes a determining unit configured to determine whether the exercise done by the subject is valid for the evaluation of Range of Motion of the body part of the subject, and a calculating unit configured to, if the exercise is valid, calculate the parameters related to Range of Motion of the body part of the subject according to the images related to the valid exercise. Thus, the work load of clinicians can be greatly reduced during the process of evaluating Range of Motion, and the accuracy of the evaluation of Range of Motion can be improved as well.
Abstract:
The present disclosure pertains to a system configured to generate computer simulations of patient loads for units of health care facilities. The system is configured to: obtain past patient census information for an individual unit of a health care facility, the past patient census information comprising a quantity of patient visits to the individual unit during past periods of time; determine intra-period variation and inter- period variation in the quantity of patient visits to the individual unit during the past periods of time; classify the individual unit based on the intra-period and inter-period variations; and generate a computer simulation of patient loads for the individual unit based on the classification. The computer-simulated patient loads comprise a quantity of patient visits to the individual unit during one or more future periods of time. The computer simulation is performed using a non-parametric simulation algorithm.
Abstract:
A device, system, and method optimizes a patient flow. The method is performed at a device of a healthcare organization, the healthcare organization having a healthcare network including a plurality of healthcare providers. The method includes determining a step in a patient flow for a patient of a primary care physician (PCP) associated with the healthcare network based upon first information relative to the patient. The method includes determining a referral of a healthcare provider to perform the step based upon the first information and second information relative to a region associated with the patient and the healthcare organization. The method includes determining whether the referral is acceptable based upon third information relative to the healthcare provider and the healthcare organization. The method includes generating a recommendation including the referral for the PCP when the referral is acceptable.
Abstract:
The present disclosure pertains to a system, a method of using such a system, and a non-transitory computer-readable medium containing instructions to such a system to assist in scheduling of float pool nurses. The system, method, and computer-readable medium allow a healthcare facility to optimize float pool nurse scheduling by identifying those units within the healthcare facility that have negatively correlated variation in nurse demand compared to the projected average nurse demand and solicit an approval from a decision-making authority, so that the identified and approved unit pairs can be combined when scheduling float pool nurses for the units.
Abstract:
Systems for determining an erroneous code in a medical report comprising a plurality of codes, each code representing a comment in the medical report the system, comprise a memory comprising instruction data representing a set of instructions and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to determine a respective vector representation for each of the plurality of codes in the medical report, wherein relative values of any selected pair of vector representations are correlated with a co-occurrence of the corresponding codes in a set of reference medical reports. The set of instructions when exectured by the processor further cause the processor to determine an erroneous code in the medical report, based on the vector representations.
Abstract:
A method and an apparatus for accurately predicting and modeling patient events, such as avoidable admissions, within a healthcare network are disclosed herein. The present disclosure provides systems and methods of predicting and modeling patient events with the use of a constantly updated data set, a sliding windows format, and a random survival forest model. Further, the present disclosure provides methods and systems for accurately predicting and modeling patient events and patient flows amongst various facilities within, and outside of, the healthcare network. The present application provides systems and methods for overcoming problems associated with conventional simulation systems by providing an intuitive and concise validation procedure to tune the simulation system, particularly targeting at patient flow among the various facilities, or nodes.