Abstract: A method and system for determining a patient's risk of developing an infection is disclosed. In one embodiment, the system and method includes extracting patient data from one or more databases corresponding to a pool of patients receiving treatment; using one or more predictive models with the extracted patient data to generate, for each of the patients in the pool of patients, a respective patient risk score for developing an infection within a selected time period; generating a report including at least a portion of the identified subset of the pool of patients and their respective patient risk scores; and transmitting the report to one or more health care facilities, the one or more health care facilities further identifying one or more patients from the portion of the identified subset of the pool of patients for interventional treatment, consultation, training, or combinations thereof.

Abstract: The described technology may include processes to model a modality status in patients and/or patient populations. In one embodiment, a method may include a modality analysis. The method may include, via a processor of a computing device: determining a modality analysis model configured to determine a modality status of a patient, the modality status configured to indicate a probability of a transition from a first modality to a second modality, and generating the modality status via the modality analysis model using patient information associated with the patient. Other embodiments are described.

Abstract: A method and system for determining a patient's risk of developing an infection is disclosed. In one embodiment, the system and method includes extracting patient data from one or more databases corresponding to a pool of patients receiving treatment; using one or more predictive models with the extracted patient data to generate, for each of the patients in the pool of patients, a respective patient risk score for developing an infection within a selected time period; generating a report including at least a portion of the identified subset of the pool of patients and their respective patient risk scores; and transmitting the report to one or more health care facilities, the one or more health care facilities further identifying one or more patients from the portion of the identified subset of the pool of patients for interventional treatment, consultation, training, or combinations thereof.

Abstract: A method for mitigating the spread of infectious diseases among dialysis patients is provided. The method comprises: receiving, by a prediction system and from a medical facility, individual treatment data indicating dialysis treatment information associated with a patient undergoing dialysis treatment; receiving, by the prediction system and from a blood testing laboratory, individual lab data indicating blood analysis information associated with the patient; determining, by the prediction system, disease analysis results for the patient based on inputting the individual treatment data and the individual lab data into a disease prediction machine learning (ML) model, wherein the disease analysis results indicate a likelihood of the patient being infected with a contagious disease; and providing, by the prediction system and to the medical facility, instructions indicating one or more responsive actions based on the disease analysis results.

Abstract: Exemplary systems and methods for estimating progression of chronic kidney disease in a patient and applying clinical interventions may include determining historic values of at least one patient parameter that varies as a function of the progression of the chronic kidney disease over time, and computationally estimating a trend corresponding to the historic values. Based on the trend, at least one marker may be automatically provided that identifies a clinical intervention and a time in the future when the clinical intervention is expected to be needed. Based on the at least one marker, clinical preparations may be executed at a time prior to the administration of the intervention in order to improve at least one of a) timeliness of the execution of the intervention and b) effectiveness of the intervention.

Abstract: Exemplary systems and methods for estimating progression of chronic kidney disease in a patient and applying clinical interventions may include determining historic values of at least one patient parameter that varies as a function of the progression of the chronic kidney disease over time, and computationally estimating a trend corresponding to the historic values. Based on the trend, at least one marker may be automatically provided that identifies a clinical intervention and a time in the future when the clinical intervention is expected to be needed. Based on the at least one marker, clinical preparations may be executed at a time prior to the administration of the intervention in order to improve at least one of a) timeliness of the execution of the intervention and b) effectiveness of the intervention.

Abstract: A dialysis access site system may operate to generate a treatment recommendation for treating a condition of an access site based on an image of the access site. The dialysis access site system may an apparatus having at least one processor and a memory coupled to the at least one processor. The memory may include instructions that, when executed by the at least one processor, may cause the at least one processor to receive an access site image comprising an image of a dialysis access site of a patient, determine access site information for the dialysis access site based on at least one access site feature determined from the access site image, the access site information indicating a condition of the dialysis access site, and determine a treatment recommendation for the dialysis access site based on the access site information.

Abstract: Systems and methods for generating anonymized acoustic fingerprints. For a predetermined time interval, raw audio data associated with an environment can be captured and processed. Based on the captured raw audio data, a plurality of discrete data elements can be generated.

Abstract: A system and method for determining patient hospitalization risk and treating patients is disclosed. The system and method may include extracting patient data from one or databases corresponding to a pool of patients having end stage renal disease; using a predictive model with the extracted patient data to generate, for each of the patients, a respective expected probability for hospitalization within a predetermined time period; identifying a subset of patients having respective expected probabilities that are higher than other patients in the pool of patients; identifying, for each patient, at least one factor from the patient data that increased the expected probability of hospitalization; and based on the identified factors, determining and executing clinical interventions to lower the probability of hospitalization within the subset of the pool of patients.

Abstract: A method and system for determining a patient's risk of developing an infection is disclosed. In one embodiment, the system and method includes extracting patient data from one or more databases corresponding to a pool of patients receiving treatment; using one or more predictive models with the extracted patient data to generate, for each of the patients in the pool of patients, a respective patient risk score for developing an infection within a selected time period; generating a report including at least a portion of the identified subset of the pool of patients and their respective patient risk scores; and transmitting the report to one or more health care facilities, the one or more health care facilities further identifying one or more patients from the portion of the identified subset of the pool of patients for interventional treatment, consultation, training, or combinations thereof.

Abstract: A method and system for identifying an undocumented comorbidity condition in a patient. In one embodiment, the method includes extracting patient data from one or more databases corresponding to a pool of patients receiving treatment; using one or more predictive models with the extracted patient data to generate, for each of the patients in the pool of patients, a respective patient risk score for having an undocumented comorbidity condition; identifying a subset of the pool of patients having a respective patient risk score that is higher than a predetermined threshold value; and based on the identified subset of the pool of patients, identifying one or more patients for additional evaluation, additional review, or combinations thereof.

Abstract: A method and system for determining a functionality level of dialysis patients for assessing parameters and timing of care. In one embodiment, the method includes extracting patient data from one or databases corresponding to a pool of patients having end stage renal disease (ESRD); using a predictive model with the extracted patient data to generate, for each of the patients in the pool of patients, a respective patient functional status score; identifying a subset of the pool of patients having a respective patient functional status score that is lower than a predetermined threshold value and/or a patient functional status score that is trending downwards; and based on the identified subset of the pool of patients, providing one or more treatment plans, wherein the treatment plans include at least one of (a) commencing one of an interventional treatment plan, or (b) commencing palliative and/or hospice care, or (c) combinations thereof.

Abstract: Exemplary systems and methods for estimating progression of chronic kidney disease in a patient and applying clinical interventions may include determining historic values of at least one patient parameter that varies as a function of the progression of the chronic kidney disease over time, and computationally estimating a trend corresponding to the historic values. Based on the trend, at least one marker may be automatically provided that identifies a clinical intervention and a time in the future when the clinical intervention is expected to be needed. Based on the at least one marker, clinical preparations may be executed at a time prior to the administration of the intervention in order to improve at least one of a) timeliness of the execution of the intervention and b) effectiveness of the intervention.

Abstract: The invention is directed to a method of identifying a patient undergoing periodic hemodialysis treatments at increased risk for death that includes determining at least one of the patient's clinical or biochemical parameters, consisting of serum bicarbonate concentration level, serum potassium concentration level, serum calcium concentration level, hemoglobin concentration level, serum phosphorus concentration level, neutrophil to lymphocyte ratio, equilibrated normalized protein catabolic rate (enPCR), equilibrated fractional clearance of total body water by dialysis and residual kidney function (eKdrt/V), EPO resistance index, transferrin saturation index, serum ferritin concentration level, serum creatinine concentration level, platelet count, Aspartat-Aminotransferase level, and Alanin-Aminotransferase level at periodic hemodialysis treatments, and identifying a patient as having an increased risk for death if the patient has a significant change in the rate of change of at least one of the patient's cli

Abstract: The invention is directed to a method of identifying a patient undergoing periodic hemodialysis treatments at increased risk for death that includes determining at least one of the patient's clinical or biochemical parameters, including systolic blood pressure, serum albumin concentration level, body weight, body temperature, serum bicarbonate concentration level, serum potassium concentration level, serum calcium concentration level, hemoglobin concentration level, serum phosphorus concentration level, neutrophil to lymphocyte ratio, equilibrated normalized protein catabolic rate (enPCR), equilibrated fractional clearance of total body water by dialysis and residual kidney function (eKdrt/V), EPO resistance index, transferrin saturation index, serum ferritin concentration level, serum creatinine concentration level, platelet count, Aspartat-Aminotransferase level, and Alanin-Aminotransferase level at periodic hemodialysis treatments, and identifying a patient as having an increased risk for death if the pati

Abstract: The invention is directed to a method of identifying a patient undergoing periodic hemodialysis treatments at increased risk for death that includes determining at least one of the patient's clinical or biochemical parameters, consisting of serum bicarbonate concentration level, serum potassium concentration level, serum calcium concentration level, hemoglobin concentration level, serum phosphorus concentration level, neutrophil to lymphocyte ratio, equilibrated normalized protein catabolic rate (enPCR), equilibrated fractional clearance of total body water by dialysis and residual kidney function (eKdrt/V), EPO resistance index, transferrin saturation index, serum ferritin concentration level, serum creatinine concentration level, platelet count, Aspartat-Aminotransferase level, and Alanin-Aminotransferase level at periodic hemodialysis treatments, and identifying a patient as having an increased risk for death if the patient has a significant change in the rate of change of at least one of the patient's cli

Abstract: Identifying a patient undergoing periodic hemodialysis treatments at increased risk of death by a logistic regression model includes selecting one or more clinical or biochemical parameter parameters associated with a probability of death of the patient while the patient is undergoing periodic hemodialysis treatments, and estimating the probability of death of the patient over a future time interval by a logistic regression model including model coefficients, the model coefficients determined by analyzing data from deceased patients that were previously undergoing periodic hemodialysis treatments, the analysis including a longitudinal analysis backwards in time on the one or more clinical or biochemical parameters of the deceased patients. The patient is identified as having an increased risk of death if the probability of death of the patient is greater than a predetermined threshold probability.

Abstract: The invention is directed to a method of identifying a patient undergoing periodic hemodialysis treatments at increased risk for death that includes determining at least one of the patient's clinical or biochemical parameters, including systolic blood pressure, serum albumin concentration level, body weight, body temperature, serum bicarbonate concentration level, serum potassium concentration level, serum calcium concentration level, hemoglobin concentration level, serum phosphorus concentration level, neutrophil to lymphocyte ratio, equilibrated normalized protein catabolic rate (enPCR), equilibrated fractional clearance of total body water by dialysis and residual kidney function (eKdrt/V), EPO resistance index, transferrin saturation index, serum ferritin concentration level, serum creatinine concentration level, platelet count, Aspartat-Aminotransferase level, and Alanin-Aminotransferase level at periodic hemodialysis treatments, and identifying a patient as having an increased risk for death if the pati

Abstract: The invention is directed to a method of identifying a patient undergoing periodic hemodialysis treatments at increased risk for death that includes determining at least one of the patient's systolic blood pressure, serum albumin level, body weight, and body temperature at periodic hemodialysis treatments, and identifying a patient as having an increased risk for death if the patient has a substantial change in the rate of decline of at least one of the patient's systolic blood pressure, serum albumin level, body weight, and body temperature. The invention is also directed to a method of identifying an increased mortality risk factor for a patient undergoing periodic hemodialysis treatment.