Computerized method and system for inferring genetic findings for a patient

Abstract

A method and system in a computing environment for preventing atypical clinical events associated with clinical agent administration to a person is provided. Clinical agent information is received. A data structure is accessed to determine if genetic findings are known to be associated with atypical events for the clinical agent. An electronic medical record is accessed to determine if a person has a stored genetic test result value for the genetic finding. Upon determining that the person does not have a stored genetic test result value, a population genetics inference based solely on demographic information is calculated indicating a likelihood the person has the genetic finding. An output is generated that includes a risk associated with atypical events for the clinical agent; the risk is based solely on the population genetics inference.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application, having attorney docket number CRNI.165678, is a continuation of copending U.S. Nonprovisional Application No. 13 / 157,502, attorney docket number CRNI.161842, filed Jun. 10, 2011, entitled “Computerized Method and System for Inferring Genetic Findings for a Patient,” which is a continuation of U.S. Pat. No. 7,983,848, attorney docket number CRNI.107055, filed Jan. 2, 2004 and issued Jul. 19, 2011, entitled “Computerized Method and System for Inferring Genetic Findings for a Patient,” which claims the benefit of priority of U.S. Provisional Application No. 60 / 509,023, filed on Oct. 6, 2003. The entireties of the aforementioned applications are incorporated by reference herein.STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT[0002]Not applicable.TECHNICAL FIELD[0003]The present invention relates generally to the field of computer software. More particularly, the invention relates to a method and system for inf...

AI Technical Summary

Benefits of technology

This solution enables reliable, cost-effective, and efficient inference of genetic findings for patients, reducing human error and making genetic information accessible to non-experts, thereby improving clinical decision-making and patient safety.

Problems solved by technology

However, genetic information has not been incorporated effectively into the clinical decision making process.

However, non-specialists, such as general practitioners, pediatricians, surgeons and pharmacists, also need to improve their practices to reflect recent advances in genetics research even though they may lack a deep understanding of genetics.

Nonetheless, most individuals have not undergone genetic testing and widespread use of genetic testing is likely to take five to ten years.

Thus, for an individual patient, result values for mutations in a particular gene relevant to that patient's treatment may not always be available.

While this information can be used to infer a genetic test result, it has not yet been integrated into an effective clinical process for the non-expert to use in the clinical decision making process.

Existing programs for inferring genetic finds are ineffective for a number of reasons.

While the relationships are relatively simple, the genetic information is oftentimes difficult to understand and input into the system.

Even with skilled operators, the opportunities for human error are significant and the consequences of such errors is oftentimes great.

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