Systems and methods for transitioning patient care from signal-based monitoring to risk-based monitoring

Abstract

A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of priority to the following non-provisional patent applications:[0002]U.S. patent application Ser. No. 13 / 689,029, filed on Nov. 29, 2012, entitled SYSTEMS AND METHODS FOR OPTIMIZING MEDICAL CARE THROUGH DATA MONITORING AND FEEDBACK TREATMENT, Attorney Docket No. 44429-00100 CON; and[0003]U.S. application Ser. No. 13 / 328,411, filed on Dec. 16, 2011, entitled METHOD AND APPARATUS FOR VISUALIZING THE RESPONSE OF A COMPLEX SYSTEM TO CHANGES IN A PLURALITY OF INPUTS, Attorney Docket No. 44429-00104; and to the following provisional patent applications:[0004]U.S. Provisional Application No. 61 / 727,820, filed on Nov. 19, 2012, entitled USER INTERFACE DESIGN FOR RAHM, Attorney Docket No. 44429-00108 PROV;[0005]U.S. Provisional Application No. 61 / 699,492, filed on Sep. 11, 2012, entitled SYSTEMS AND METHODS FOR EVALUATING CLINICAL TRAJECTORIES AND TREATMENT STRATEGIES FOR OUTPATIENT CARE, Attorney Docket No. 4...

AI Technical Summary

Benefits of technology

The patent describes a risk-based patient monitoring system that combines data from various sources to assess a patient's current and future risks. The system can provide decision support to clinicians and continuously track the patient's clinical trajectory. The system uses visualization and user interactions to show the dependence of different variables with time and the likelihood of the patient being in a specific state or at a certain risk level. Users can set alarms, take notes, and browse other elements of the patient's medical history. Overall, the system helps to improve patient safety and outcomes by providing individualized risk assessment and decision support to clinicians.

Problems solved by technology

Practicing medicine is becoming increasingly more complicated due to the introduction of new sensors and treatments.

As a result, clinicians are confronted with an avalanche of patient data, which needs to be evaluated and well understood in order to prescribe the optimal treatment from the multitude of available options, while reducing patient risks.

One environment where this avalanche of information has become increasingly problematic is the Intensive Care Unit (ICU).

Not surprisingly, this leads to a large variance in hidden parameter estimation.

As an example, although numerous proxies for cardiac output are continuously monitored in critical care, studies have demonstrated poor correlation between subjective assessment by clinicians, and objective measurement by thermodilution.

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