Abstract: A system is provided for operation with a facility providing peritoneal dialysis exchanges for multiple peritoneal dialysis patients. The system can include a peritoneal dialysis solution supply, peritoneal dialysis sets to deliver peritoneal dialysis solution to the peritoneal dialysis patients at the facility, a computer, and a treatment station. The computer can electronically read a prescription for a patient, electronically identify a quantity of the peritoneal dialysis solution from the prescription, and electronically identify a peritoneal dialysis set from the peritoneal dialysis sets for use with the identified quantity of the peritoneal dialysis solution.

Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: Methods, systems, and computer-readable media are provided for facilitating record matching and entity resolution and for enabling improvements in record linkage. A power-spectrum-based temporal pattern-specific weight may be incorporated into record linkage methods to enhance the record linkage accuracy and statistical performance. For example, in embodiments, a value-specific weight may be calculated from a population-based frequency of field-specific values or dichotomized values of selected phenotypic variables, and provides an opportunity to capture and measure the relative importance of specific values found in a field. A phenotypic bit-vector “fingerprint” pattern-specific weight or Bayesian power spectrum weight may be determined and incorporated into record linkage methods.

Abstract: Systems, methods and computer-readable media are provided for facilitating patient health care through automatic discovery, establishment, and statistical validation of safety signals in repositories of EMR information, identifying safety signals regarding therapeutics or therapeutics combinations administered to patients. In an embodiment, a method includes identifying, from a dataset of health care records, a first group of patients that received a drug; extracting one or more medical events that the first group experienced; identifying a second group of patients similar to the first group who have received one or more concomitant comparator drugs that address the same set of conditions that prevail in both the first group and second group; extracting one or more medical events that the second group of patients have experienced; and comparing the medical events of the first group to the medical events of the second group to determine statistically significant differences in occurrences between the groups.

Abstract: Systems, methods and computer-readable media are provided for facilitating patient health care through automatic discovery, establishment, and statistical validation of diagnostic-signals in repositories of EMR information, identifying phenotypic diagnostic signals regarding markers or combinations or sequences of patient attributes. Some methods include identifying a first group of patients that have one or more markers and extracting one or more diagnostic statuses that pertain to the whole genome sequencing (WGS) or whole exome sequencing (WES). Statistically significant differences involving frequent itemsets are identified and may be used to evaluate membership of an individual in a class indicative of potential diagnosis via WGS or WES.

Abstract: Systems and methods for reducing acute incident risks for dementia patients are provided. Benefits of the systems and methods include reducing healthcare costs, improving patient and caregiver outcomes and reducing caregiver burden. A server system analyzes data related to a dementia patient and the corresponding caregivers (e.g., family member, paid caregiver, physician) and calculates an acute incident risk. Based on the acute incident risk, the server system determines patient therapies to reduce the acute incident risk and also identifies caregiver education to improve the caregiver belief state, which reduces the acute incident risk. The system periodically re-calculates the acute incident risk and identifies patient therapies and caregiver education and motivation to further reduce or maintain the acute incident risk.

Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: A system for calculating an edible score in a display interface, including a computing device configured to initiate, a display interface; retrieve, a performance profile relating to a user; determine, an edible of interest; receive, nourishment information relating to the edible of interest; generate, a score machine-learning process to output an edible score; and display, the edible score within the display interface.

Abstract: A computer-implemented therapy management system is operated to collect patient data associated with medical device users. Treatment of the users is managed by healthcare professionals (HCPs), which include a customer HCP and a plurality of non-customer HCPs. The system receives a first set of attributes for a first individual patient or a first group of patients under care of the customer HCP, and a second set of attributes for a second individual patient or a second group of patients. The system identifies a first set of patient records associated with the customer HCP that satisfy the received first attributes, and a second set of patient records that satisfy the received second attributes, and compares patient outcomes from the first set of records against patient outcomes from the second set of records. A comparative therapy report is generated and communicated to a client device associated with the customer HCP.

Abstract: A bi-directional interface system that facilitates exchange of personal health information (“PHI”) between a mobile device and an electronic health record (“EHR”) system and/or other ancillary systems without storing information on the mobile device. The system may display data that exists in the EHR and/or other ancillary systems valuably viewed at a glance (e.g., vital signs, weight, last void data), as well as facilitate data entry that would feed into the EHR (e.g., vital signs and intake and output). The system may customize at a unit level and/or professional role the information available to health care professionals at the critical time of handoffs and reduce the health care professional's individual need to rely on memory or handwritten notes, further reducing missed information or erroneous information opportunities. The system may provide a mobile application to view and enter patient data to reduce potentially delayed information and treatments of care.

Abstract: A system for nutritional recommendation using artificial intelligence analysis of immune impacts includes a computing device designed and configured to receive a test result detecting an effect of at least an aliment on at least a biomarker, determine an immune system impact of the at least an aliment as a function of the at least a biomarker using a machine-learning process, the machine-learning process trained using a first training set relating biomarker levels to immune system function, generate a nutritional recommendation using the determined immune system impact, and provide the nutritional recommendation to the user.

Abstract: Provided are mechanisms and processes for a virtual waiting room. According to various examples, the system includes a medical schedule processor that logs when a medical professional enters an examination room to conduct an examination of a patient and compares this time with scheduling information to predict whether future appointments on that day will be delayed. The scheduling information is cryptographically separated from Health Insurance Portability and Accountability Act (HIPAA) information. The system also includes a notification interface that sends data including current appointment status of the medical professional, predicted delays, and modified appointment times for each appointment for the day to a medical scheduling management app that is viewable by patients of the medical professional. The predicted delays and modified appointment times are updated periodically.

Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: Medical diagnostic images that are embedded with contact messages about a professional are sent to a patient for sharing with others. Although the images may be obtained using any of a variety of imaging devices, in some instances, the images may be obtained using a soft-tissue-injury diagnostic system for diagnosing soft tissue injury within a patient. A visual display is configured and arranged for receiving and displaying the medical diagnostic image. Personalized contact messages are then embedded within the image as a watermark to with information about the professional, such as an electronic business card, contact information, or hyperlinks to additional information. The sharable image with embedded messages is electronically sent to the patient for sharing with others. Personalized contact messages may also be embedded in non-medical images for sharing with others.

Abstract: Systems are provided for anonymously tracking and/or analyzing transitioning, flow or movement of individual subjects between health states or health-related subject states. There is provided a system for enabling anonymous estimation of the amount and/or flow of individual subjects, referred to as individuals, in a population transitioning and/or moving and/or coinciding between two or more health states or health-related subject states. The system receives identifying data from two or more individuals; generates, online and by one or more processors, an anonymized identifier for each individual; and stores: the anonymized identifier of each individual together with data representing a health state or health-related subject state; and/or a skew measure of such an anonymized identifier.

Abstract: Systems, methods and computer-readable media are provided for facilitating patient health care through automatic discovery, establishment, and statistical validation of diagnostic-signals in repositories of EMR information, identifying phenotypic diagnostic signals regarding markers or combinations or sequences of patient attributes.

Abstract: A system and method for calculating expected out of pocket health care costs for a user during a set period of time is presented. The system relies on statistical data about health services utilization in combination with data about the user to estimate the expected usage. The system utilizes machine learning techniques to predict utilization of healthcare services based on user health status data. This information in combination with expected costs to deliver the specific services expected to be used provides the basis for calculating costs.

Abstract: A system is provided for operation with a facility providing peritoneal dialysis exchanges for multiple peritoneal dialysis patients. The system can include a peritoneal dialysis solution supply, peritoneal dialysis sets to deliver peritoneal dialysis solution to the peritoneal dialysis patients at the facility, a computer, and a treatment station. The computer can electronically read a prescription for a patient, electronically identify a quantity of the peritoneal dialysis solution from the prescription, and electronically identify a peritoneal dialysis set from the peritoneal dialysis sets for use with the identified quantity of the peritoneal dialysis solution.

Abstract: Systems and methods for reducing acute incident risks for dementia patients are provided. Benefits of the systems and methods include reducing healthcare costs, improving patient and caregiver outcomes and reducing caregiver burden. A server system analyzes data related to a dementia patient and the corresponding caregivers (e.g., family member, paid caregiver, physician) and calculates an acute incident risk. Based on the acute incident risk, the server system determines patient therapies to reduce the acute incident risk and also identifies caregiver education to improve the caregiver belief state, which reduces the acute incident risk. The system periodically re-calculates the acute incident risk and identifies patient therapies and caregiver education and motivation to further reduce or maintain the acute incident risk.

Abstract: A data capture and storage apparatus for use in confirming administration of medication in a clinical trial or other medication administration scenario is provided. The apparatus includes a data capture device for capturing one or more types of data related to administration of a medication, a storage device for storing the captured data and a processor for processing the stored captured data. The processor further includes an analysis element for performing a local analysis of the stored captured data.