Abstract: The task is to provide a system which supports smooth patient referral from a referral source medical institution to a referral destination medical institution and which particularly prevents readmission due to cases that are difficult to determine simply based on patient attributes or due to the quality of medical services. To achieve this task, a referral difficult degree calculation unit calculates a referral difficulty degree which quantifies the risk that a patient cannot be discharged because a referral destination cannot be found, in consideration of a readmission risk calculated by a readmission risk calculation unit, the geographical distance between the patient and the referral destination medical institution, the total number of patients accepted, and the number of beds available. This referral difficulty degree is outputted to an output unit of the referral source medical institution or the referral destination medical institution.

Abstract: A technical procedure and information enhancement system comprising a multi-function colored display; a computing device having memory and processors; a touch-free gesture-responsive computer input device; computer-readable media containing computer instructions for displaying a plurality of electronic pages selected from the group consisting of a pre-procedural page, a procedure preparation page, an intra-procedural page and a post-procedural page; connection to the internet; a backup memory; a microphone; one or more video cameras situated to record the medical procedure, speakers, and an electronic signature pad.

Abstract: A method and system for producing statistical analysis of medical care information comprises: aggregating medical care providers to a peer group level; aggregating medical care information at the peer group level and at the medical care provider level; computing a statistical analysis, such as performing Pearson's correlation analysis; and generating peer group level and medical care provider level results utilizing the computed statistical analysis.

Abstract: Described herein are various technologies pertaining to storing and transmitting formatted genetic test results. A server computing device receives genetic test results from several genetics laboratories, where the genetic test results are in different formats. The server computing device formats each of the genetic test results such that the resultant formatted genetic test results have a uniform format. The server computing device receives a query from a client computing device that is displaying a graphical user interface (GUI) of an electronic health records application (EHR), and searches over the formatted genetic test results to generate search results, wherein the query includes an identifier for a patient whose medical record is being displayed in the GUI of the EHR. The server computing device transmits the search results to the client computing device, whereupon the search results are displayed on the display of the client computing device.

Abstract: Method and system including displaying a first representation of a medication treatment parameter profile, displaying a first representation of a physiological profile associated with the medication treatment parameter profile, detecting a modification to a segment of the medication treatment parameter profile, displaying a modified representation of the medication treatment parameter profile and the physiological profile based on the detected modification to the segment of the medication treatment parameter profile, modifying an attribute of the first representation of the medication treatment parameter profile, and modifying an attribute of the first representation of the physiological profile are provided.

Abstract: Systems and methods are provided for processing and storing eye-tracking data. A visual stimulus is provided to an experimental subject on a display. Eye-tracking data associated with the behavior of the experimental subject is acquired and stored while observing the visual stimulus on the display. The eye-tracking data is stored as primary data and secondary data, wherein the primary data is stored in an encrypted form using a secret key associated with the experimental subject. In response to a research request, the secondary data is transmitted for storage in a research database and, in response to a second research request authorized by the experimental subject, the primary data is transmitted for storage in the research database subsequent to decrypting the primary data using the secret key.

Abstract: Processes for estimating payment on a claim for services rendered are described. The process includes formatting data related to a medical service to be rendered to a patient in a mock claim, applying pricing rules that are unique to an agreement between payer entity and a provider of the service; and determining an estimated payment for the medical service to be paid by the payer to the provider after the medical service has been rendered to the patient.

Abstract: Systems and methods for multi-modality data processing are provided. Some embodiments are particularly directed to labeling and indexing multi-modality medical data. In one embodiment, a method for labeling medical data received by a multi-modality medical processing system includes receiving, by the medical processing system, medical data to be labeled. A reference set of labels corresponding to the medical data is presented at a display device. A selection of a first label from the reference set of labels is received from an interface device. A target set of labels corresponding to the medical data is presented at the display device, the target set of labels based on the first label. A selection of a second label from the target set of labels is received from the interface device. The medical data is then labeled based on the first and second labels.

Abstract: In one embodiment, a computer-implemented method that comprises receiving, a user request from a first system user of a plurality of system users for a communication of health data with a health information system. The health information system includes a data store that stores health data related to the plurality of system users.

Abstract: Systems, methods, and computer-readable media for analyzing and presenting healthcare information are described. Some embodiments may include a system configured to receive healthcare information relating to a patient and to generate a patient profile. The patient profile may include a physiological status as well as a physiological assessment and a treatment assessment based on the automatic and dynamic analysis of the healthcare information. The healthcare information and the patient profile may be updated and/or accessed in real-time or substantially real-time through client logic devices in communication with the system. In this manner, a healthcare professional may enter healthcare information for a patient that is readily accessible by other healthcare professionals through the system. The system may present navigation objects that include a plurality of navigation layers selectively displayed based on user input.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to automatically order. In some embodiments, there is provided a system for automatically ordering a product item including at least one first sensor, at least one smart-device interface, a remote database, and at least one control circuit configured to: determine whether a signaling data is received; communicatively couple with the at least one smart device; prompt a user to select; determine whether a previously stored data has been stored; delete the previously stored data; copy a plurality of urgency threshold values; access the first sensed data; access the second sensed data; determine a product item; determine whether the at least one of: the first sensed data and the second sensed data has reached an urgency threshold value; and automatically initiate ordering and delivery of the product item when the urgency threshold value has been reached.

Abstract: A system and method for secure HIPPA complaint data access by a health professional particularly related to radiology data, such as DICOM images and the like are provided. Including a method for viewing DICOM images as part of a real-time virtual medical consultation using at least one DICOM viewer may have a DICOM viewer option within a secure telemedicine platform; supplying a remote DICOM image database linked to a patient record; providing choices so that a medical professional has the ability to choose a of DICOM image such as a synchronous review, an asynchronous review, an image review, a video review, and a stacked series review; and transferring an encrypted DICOM image to the medical professional based on the selected image choice. According to one approach, the method and system may also have the step of providing concurrent videoconferencing capability between a caller and a callee using WebRTC functionality.

Abstract: This disclosure is directed to a method for scoring and ranking candidate HLA-compatible unrelated hematopoietic cell donors (URD) for patients with AML or myelodysplastic syndrome. Candidate donors are scored based on KIR/HLA allele and genotype combinations. The method disclosed herein permits ranking and selection of advantageous donors that predict improved clinical outcomes of hematopoietic stem cell transplantation.

Abstract: The present invention is directed to a platform (e.g., Web-based) that enables basic and clinical research activities by integrating patient characteristics and clinical outcome data with a variety of high-throughput research data in a unified environment. While several rich data repositories for high dimensional research data exist in the public domain, most focus on a single data type and do not support integration across multiple technologies. The present invention in at least one embodiment includes a broad collection of bioinformatics and systems biology tools for analysis and visualization of four major “omics” types: DNA, mRNA, microRNA, and metabolites, as well as next-generation sequencing. The present invention helps facilitate systems medicine by providing easy identification of trends and patterns in integrated datasets and hence facilitate the use of better targeted therapies for cancer.

Abstract: A system and method for automatically calculating an accurate recommended dosage for hormone replacement therapy and automating the life cycle of a patient's treatment over time. The system and method can automatically acquire relevant patient parameters and apply a consistent formulaic approach to help reduce incorrect dosage determinations. A pellet insertion size may be determined and documented based on a calculated dosage, and an insertion side and lot numbers may be tracked and managed. In addition, corresponding revenues may be tracked and profitability may be reported for hormone replacement therapy practices.

Abstract: A programmed computer system receives an imaging study of the patient including metadata associated with the study. The metadata are analyzed to determine an anatomic region represented by the study. Additional imaging studies for the same patient are requested and the metadata associated with the additional studies are analyzed to determine relevant studies for the same or adjacent anatomic regions. Once the relevant prior studies have been identified, the computer requests the images associated with the identified prior imaging studies including the associated reports for review by a physician or other medical personnel.

Abstract: A system and method of confirming administration of medication in a clinical trial is provided. The method comprises the steps of receiving information identifying a particular medication prescription regimen in accordance with the clinical trial, determining one or more procedures for administering such prescription regimen and identifying one or more activity sequences associated with such procedures. Activity sequences of actual administration of such prescription regimen are captured and then compared to the identified activity sequences to determine differences therebetween. A notice is provided if differences are determined.

Abstract: Healthcare costs accumulated across a plurality of claims systems are managed using a centralized accumulator, which receives cost accumulator data for adjudicated claims from multiple sending claim systems. An accumulator record type is identified from the cost accumulator data and used to generate a cross-reference record. The record type includes an adjudicated claim. A routing message is generated for at least one receiving claim system according to the identified accumulator record type, the cost accumulator data received from the sending claim system, and an identity of the at least one receiving claim system. In response to sending the routing message to the receiving claim system, an acknowledgement is received, which is used to update the cross-reference record by the processor.

Abstract: Systems, methods, and computer-readable media for managing healthcare environments are provided. In embodiments, a real-time status of a clinical device, along with a location, is received. The location of the clinical device is obtained via a clinical device identifier that is tracked by a plurality of sensors in a healthcare environment. A clinical device may be identified as inappropriate for use and an alert presented to a clinician including the problem of the clinical device and the location thereof. A replacement clinical device may be located, using clinical identifiers, and presented to the clinician. Such monitoring and location awareness facilitates efficient responses to healthcare situations.

Abstract: Electronic health records of a plurality of patients are received. A risk prediction model for a disease based on the electronic health records of the plurality of patients is created. An electronic health record of an original patient is received. A neighboring group of patients of the plurality of patients is identified, wherein the neighboring group of patients is two or more patients similar to the original patient. An ordering of the two or more patients of the neighboring group of patients is received, wherein the ordering of the two or more patients of the neighboring group of patients is based upon how similar each patient of the two or more patients is to the original patient. The risk prediction model is updated based on the ordering of the two or more patients of the neighboring group of patients.