Systems and methods for optimizing medical care through data monitoring and feedback treatment

Abstract

Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.

Description

BACKGROUND[0001]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 information, 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). There, the experience of the attending physician and the physician's ability to assimilate the available physiologic information have a strong impact on the clinical outcome. It has been determined that hospitals which do not maintain trained intensivists around the clock experience a 14.4% mortality rate as opposed to a 6.0% rate for fully staffed centers. It is estimated that raising the level of care to that of average trained physicians across all ICUs can save 160,000 lives and $4.3Bn annually. A...

AI Technical Summary

Benefits of technology

This patent describes a system that helps medical professionals make better decisions by monitoring and analyzing patient data. It uses a processor and memory to create a model that predicts how a patient will fare after a treatment in a specific area. The system can categorize the patient based on their data and determine the likelihood of them transitioning between different states. This technology can help improve the effectiveness of treatment and make it more tailored to individual patients.

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 information, 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).

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