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BR-102025013435-A2 - MEDICAL TREATMENT SELECTOR

BR102025013435A2BR 102025013435 A2BR102025013435 A2BR 102025013435A2BR-102025013435-A2

Abstract

The present invention relates to a computer-implemented method for determining medical treatment for a patient. The method comprises: obtaining a set of patient data; applying a set of eligibility criteria to the patient values to determine if the patient is eligible for medical treatment; obtaining additional values for the patient and reapplying the eligibility criteria; obtaining, in response to a determination that a diagnostic data status in the medical records system has changed, an indication of a diagnosis of a medical condition for the patient; and, in response to the indication that the patient has been diagnosed with the medical condition and that the patient is eligible for medical treatment, providing, through a user interface layer or through a network interface connection, an output signal to direct a physician to provide medical treatment to the patient.

Inventors

  • Miles Payling
  • Bhavagaya Bakshi

Assignees

  • C THE SIGNS LIMITED

Dates

Publication Date
20260310
Application Date
20250627
Priority Date
20240821

Claims (20)

  1. 1. A computer-implemented method for determining medical treatment for a patient, characterized by: obtaining, using a data ingestion circuit, a patient dataset comprising a plurality of patient values, each indicative of a patient characteristic; applying, using a model, a set of eligibility criteria to the patient values to determine if the patient is eligible for medical treatment; obtaining, using the data ingestion circuit and in response to a detection that the patient data status has changed in an electronic medical records system, one or more additional patient values for the patient; reapplying, using the machine learning model, the eligibility criteria to the patient dataset to determine if the patient is eligible for medical treatment; obtaining, using the data ingestion circuit and in response to a determination that a diagnostic data status in the medical records system has changed, an indication of a diagnosis of a medical condition for the patient; and, in response to the indication that the patient has been diagnosed with the medical condition and that the patient is eligible for medical treatment, To provide, through a user interface layer or through a network interface connection, an output signal to direct a physician to provide medical treatment to the patient.
  2. 2. Method, according to claim 1, characterized in that the model is a machine learning model trained to determine patient eligibility for medical treatment.
  3. 3. A method according to claim 1 or 2, characterized by further comprising continuous monitoring, with a data ingestion circuit, of the status of patient data in the electronic medical record system.
  4. 4. A method, according to any previous claim, characterized in that the medical treatment comprises enrolling the patient in a clinical trial.
  5. 5. A method, according to any previous claim, characterized by further comprising obtaining an indication of the outcome of a medical treatment.
  6. 6. A method according to claim 5, characterized by further comprising determining an adjustment in medical treatment based on the indicated outcome, and providing an additional output signal to guide a clinician in adjusting the medical treatment.
  7. 7. Method, according to claim 5 or 6, characterized by further comprising adjusting the eligibility criteria, based on the indicated result.
  8. 8. A method, according to any previous claim, characterized in that the patient values comprise indications of the patient's physiological parameters.
  9. 9. A method, according to any previous claim, characterized by obtaining one or more additional patient values for the patient to understand, providing a request to a doctor and/or the patient for one or more patient values.
  10. 10. A method, according to any previous claim, characterized by obtaining one or more additional values for the patient to understand, obtaining an indication from a clinician from the results of a consultation with the patient.
  11. 11. A method, according to any previous claim, characterized by obtaining one or more additional values from the patient for the patient to understand, obtaining an indication from a clinician from the results of an investigation to establish a diagnosis of the patient with the medical condition.
  12. 12. A method, according to any previous claim, characterized by obtaining one or more additional patient values comprising obtaining one or more patient values on a first occasion, and obtaining one or more patient values on a second occasion, and on each of the first and second occasions, reapplying the eligibility criteria to the patient dataset to determine whether the patient is eligible for medical treatment.
  13. 13. A method, according to any previous claim, characterized in that obtaining a patient dataset comprises obtaining patient genomic data, wherein the eligibility criteria comprise an association between genetic information and eligibility for medical treatment.
  14. 14. A computer-implemented method for identifying patients eligible for medical treatment, characterized by comprising: obtaining, using a data ingestion circuit, a patient dataset comprising a plurality of patient values for each of a plurality of patients in a population, wherein the patient values are each indicative of an associated patient characteristic; applying, using a machine learning model trained to determine patient eligibility for medical treatment, a set of eligibility criteria to the patient dataset to determine a subset of patients in the population who are provisionally eligible for medical treatment; obtaining, using the data ingestion circuit and in response to a detected change in patient data in an electronic medical record system, one or more additional patient values for one or more patients in the subset, and updating the patient dataset based on the additional patient values obtained; reapplying the eligibility criteria, using the machine learning model, to determine which patients in the subset are still eligible for medical treatment based on the additional patient values. obtained; obtain, using the data ingestion circuit, an indication of a diagnosis of a medical condition for one or more patients in the subset; in response to the indications obtained of a diagnosis, provide, through a user interface layer or a network interface connection, one or more output signals to direct a clinician to provide medical treatment to one or more eligible patients for whom a diagnosis of a medical condition is obtained.
  15. 15. Method, according to claim 14, characterized by obtaining one or more additional patient values for one or more patients in the subset comprising providing a request to at least one of the patients and/or at least one clinician to provide one or more patient values.
  16. 16. Method, according to claim 14 or 15, characterized in that the medical treatment comprises enrollment in a clinical trial.
  17. 17. A method, according to any one of claims 14 to 16, characterized in that the patient values comprise indications of the patient's physiological parameters.
  18. 18. A computer-implemented method for determining whether a patient is eligible for medical treatment, characterized by: obtaining, using a data ingestion circuit, a set of patient data comprising a plurality of patient values, each indicative of a patient characteristic; applying, with a machine learning model trained to determine patient eligibility for medical treatment, a set of eligibility criteria to the patient values to determine whether the patient is eligible for medical treatment; requesting, via a user interface layer or a network interface connection, that a clinician provide more patient values; In response to the additional patient values provided, replicate, using the machine learning model, the set of eligibility criteria to the patient values to determine if the patient is eligible for medical treatment; request, through the user interface layer or network interface connection, that a physician provide an indication of whether the patient has been diagnosed with a medical condition; in response to an indication that the patient has been diagnosed with the medical condition, request, through the user interface layer or network interface connection, that the physician provide medical treatment to the patient.
  19. 19. Configured artificial neural network, characterized by executing the method, according to any previous claim.
  20. 20. Computer program product, characterized in that the program instructions configured to program a processor execute the method according to any of the preceding claims.

Description

Technical field [0001] The present description refers to systems and methods for selecting medical treatments for a patient, for example, methods for determining the eligibility of patients to participate in a clinical trial. Background [0002] The typical timeline for a patient, from the onset of symptoms of a disease to diagnosis and treatment, can be broken down into several stages, each potentially involving different physicians. Similarly, the process by which a patient may be considered eligible for a particular clinical trial can also be defined along this timeline, with patients often being identified as eligible for a trial long after being diagnosed with a condition and often long after the start of specialized inpatient treatments, which, in turn, can impact their eligibility. In many cases, patients are only identified as eligible after the start of second- or third-line treatment for the condition. [0003] Existing methods also depend on the attending physician being aware that a patient may be eligible for a particular treatment or clinical trial and, in turn, informing them of their eligibility at a time when that information can be used. This depends on the physician having prior knowledge of the specific treatment and remembering to inform the patient at the appropriate time. [0004] The combination of these factors often means that patients are unable to enroll in a specific study or proceed with a specific treatment until it is too late. From the perspective of Clinical Research Organizations, pharmaceutical companies, and others offering clinical studies or specific medical treatments, existing processes often result in potentially eligible patients not being reached in time, and the number of eligible patients being unnecessarily reduced. [0005] In more detail, a typical existing pathway for enrolling a patient in a clinical trial might begin with the patient going to their general practitioner or family doctor with symptoms of a specific illness. The general practitioner then investigates and establishes a diagnosis or refers the patient to a specialist who does so. Treatment for the illness is then initiated, possibly by a different clinician. Subsequently, and possibly only after several rounds of treatment for the illness, it may occur to a clinician that the patient could potentially be eligible for a clinical trial. The patient may then be asked if they wish to participate in the trial. However, at this advanced stage, it may be that a previously eligible patient is now excluded from the trial, for example, because they have already undergone some treatment and are no longer treatment-naive. Summary of the Invention [0006] The embodiments of the description aim to address the above and other problems. The aspects of the invention are as set forth in the independent claims and the optional features are defined in the dependent claims. [0007] Aspects of the description are presented in independent claims and optional features are presented in dependent claims. Aspects of the description may be provided together, and features of one aspect may be applied to other aspects. [0008] One aspect of the description provides a computer-implemented method for determining medical treatment for a patient, the method comprising: obtaining, with a data ingestion circuit, a patient dataset comprising a plurality of patient values, each indicative of a patient characteristic; applying, with a model, a set of eligibility criteria to the patient values to determine whether the patient is eligible for medical treatment; obtaining, with the data ingestion circuit and in response to a detection that the status of patient data has changed in an electronic medical records system, one or more additional patient values for the patient; reapplying, with the machine learning model, the eligibility criteria to the patient dataset to determine whether the patient is eligible for medical treatment; obtaining, with the data ingestion circuit and in response to a determination that a diagnostic data status in the medical records system has changed, an indication of a diagnosis of a medical condition for the patient; and, in response to the indication that the patient has been diagnosed with the medical condition and that the patient is eligible for medical treatment, provide, through a user interface layer or through a network interface connection, an output signal to direct a physician to provide medical treatment to the patient. [0009] The method may also comprise continuous monitoring, using the data ingestion circuit, of the status of patient data in the electronic record system. The method may comprise obtaining, using the data ingestion circuit, patient values, for example, the patient dataset, at regular intervals, for example, from the electronic record system. For example, the method may comprise, at regular intervals, providing a request signal to the configured electronic medical system to cause the electr