Care engine

Abstract

The present invention offers a comprehensive solution to care management which aggregates, integrates and stores clinical information from disparate sources. The system finds at-risk individuals before they experience preventable, high-cost medical events and stratifies high risk populations according to clinical criteria, which can include severity of disease states and co-morbidities. The system also compares the actual care an individual is receiving to established standards of clinical excellence and, if necessary, suggests pertinent medical care considerations to improve the care of medically mismanaged individuals. Another feature of the present invention may include a secure, patient-specific Web page which is automatically populated with a patient's own clinical information and can be personalized with customized, relevant healthcare information. The system allows users to design, facilitate and monitor clinical care plans and increase communications among physicians, nurses and patients. The system also predicts and analyzes the outcome of disease or case management for populations and individual patients.

Description

REFERENCE TO RELATED APPLICATIONSField of the Invention[0001]The present invention relates to a system and methods for medical analysis and more particularly, it relates to an early warning trigger analysis system used as an automated mechanism for the early warning detection of patient health risk.BACKGROUND OF THE INVENTION[0002]The concerns about medical errors and clinical quality are increasing. In fact, a 1999 study by the Institute of Medicine of the National Academy of Sciences estimates that 1.5% to 2.0% of all hospital admissions in the United States result in a significant and preventable adverse event that was caused by the medical establishment. The study estimates that medical mistakes are the eighth leading cause of death in the United States. The delivery of clinical care often involves complex analysis and the evaluation of multiple treatment options. However, many physicians report that, due to the rapid pace of medical innovation and the volume and complexity of m...

AI Technical Summary

Benefits of technology

"The present invention is a comprehensive solution for managing healthcare costs and improving care quality. It includes software tools for identifying potential problem cases, managing complex cases, and improving the risk underwriting profitability of healthcare providers. The invention also includes a data repository and a care engine with advanced analytical capabilities. Customers can use the invention to design and monitor clinical care plans, predict and analyze the outcome of disease or case management, and improve the quality of care for individuals and populations. Overall, the invention helps to improve the efficiency and effectiveness of healthcare management."

Problems solved by technology

The concerns about medical errors and clinical quality are increasing.

The study estimates that medical mistakes are the eighth leading cause of death in the United States.

The delivery of clinical care often involves complex analysis and the evaluation of multiple treatment options.

However, many physicians report that, due to the rapid pace of medical innovation and the volume and complexity of medical information directed at them, they have difficulty keeping up with state of the art medical practices and other developments in their areas of specialization.

Further, it is estimated that this failure to apply an optimal therapy results in an estimated 100,000 premature deaths from this condition that otherwise might not have occurred.

Another problem with the health care system is that incomplete patient clinical data leads to inefficiencies and lapses in patient care.

As a result, critical patient data is stored in many different locations using incompatible and proprietary legacy mainframe and client-server systems that store information often in non-standardized formats.

The delivery of this information is often delayed and may be incomplete due to the disparate systems maintained by those constituents.

This industry fragmentation and the resulting lack of comprehensive patient information are primary reasons for inefficiencies and lapses in patient care.

These inefficiencies and lapses may lead to medical mistakes, poor clinical outcomes and excess costs due to: inconsistent, incomplete or inaccurate diagnoses; redundant tests; inappropriate medications; increased potential for medical errors and clinical complications; and failure to apply optimal therapies and adequate follow-up.

Further, it is also estimated that over $250 billion dollars are wasted each year through the delivery of unnecessary care, performance of redundant tests or procedures and excessive administrative costs.

To date, health plans have primarily focused on gaining price concessions from providers and suppliers and limiting access to healthcare products and services.

Recently, consumers, providers and policymakers have begun to question this managed care approach.

Patients and their employers have expressed dissatisfaction with escalating health plan premiums and “gatekeeper” style plans that limit physician choice and access to healthcare services.

Physicians and patients have expressed concern that managed care has led to a decline in the quality of patient care.

Another problem is that current healthcare information technology approaches do not address the majority of healthcare costs.

Very few of these initiatives address unnecessary or inappropriate clinical care or the overall quality of clinical care.

In addition, these administrative-oriented efforts address only the 15% of healthcare expenditures that relate to administrative costs and do not address the 85% of expenditures that relate to clinical costs.

As a result, critical patient data is stored in many different locations using incompatible and proprietary legacy mainframe and client-server systems that store information often in non-standardized formats.

The delivery of this information is often delayed and may be incomplete due to the disparate systems maintained by those constituents.

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