“System And Method To Automatically Recommend And Adapt A Treatment Regime For Patients” in Patent Application Approval Process (USPTO 20220005569): Patent Application
2022 JAN 25 (NewsRx) -- By a
This patent application has not been assigned to a company or institution.
The following quote was obtained by the news editors from the background information supplied by the inventors: “The present invention provides a method and system of management to automatically recommend and adapt to a treatment regimen. More specifically, the systems and methods for automatic recommendation and treatment regime for a patient may involve gathering patient data, patient inputs, and treatments recommended by a treatment pathway controller to identify time series event, apply rules for diagnosis of disease, requesting or receiving an approval from a medical expert, and providing the detailed treatment plan for the patient.
“A patient may be critically ill or may not be in a condition to visit the hospital or a medical physician on regular basis. Such restriction may result in further deterioration of health of the patient. For example, a patient may be bed ridden but otherwise perfectly in good health but may require necessary monitoring of the health condition. At the same time, the patient may also be reluctant to go to the hospital. In another scenario, the patient may be in a critical condition and may need a life-saving treatment even before the patient may reach the hospital. All these scenarios require a system that may automatically recommend and adapt to a treatment so that both, the lifestyle management and/or prescriptive analytics, may provide better health management to the patient.
“To overcome and better manage a chronic disease, a platform is needed that utilizes the patient history, clinical data, DNA profile and captures real time medical data such as blood pressure or blood glucose level to provide prescriptive analytics for chronic disease management and in some critical cases life saving management by providing time to the patient to reach the hospital. The prescriptive analytics provides intelligent recommendations for the next step of optimal care pathways to drive positive health outcomes for the patient.”
In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventor’s summary information for this patent application: “A system and method of automatically recommending and adopting the treatment regime for a patient suffering from a disease is disclosed. The method collects medical data of the patient from one or more medical devices and stores the medical data in a medical database. A logic designer nodule is utilized for designing the logic for automatic recommendation and adaption of the treatment regime for the patient. The logic designer module passes the logic designer data to a machine learning module. The machine learning module also receives the medical data of the patient from the medical database. The machine learning module then creates the automatic recommendation and adaption regime based on the logic designer configured by the medical expert using the clinical user interface and the medical data from the medical database. A clinical controller and scheduler module schedules the automatic recommendation and adaption regime for the patient. A clinical dashboard module displays in real time the scheduled recommendations and adaption regime to a clinical dashboard. The scheduling and adaption of treatment and feedback for compliance of the automatic recommendation and adaption of treatment regime is displayed on a patient device.
“In another embodiment, system and method that provides a prescriptive analytics platform for managing the care path of the patient is disclosed. The system includes a data collector module that captures all type of data including real time medical data of the patient from the patient’s personal device. The medical data and other related disease data collected from the data aggregator module is passed onto a data filtering module that segments the data into different categories and uses the specific categorized data for machine learning and for formulation of a treatment plan. In yet another embodiment, the data collector may aggregate data from external sources such as health insurance companies, hospital, family doctor etc. and internal sources such as real time data of patient monitoring at home, such as drug response, speech data, mood, feeling, anxiety and clinical parameters such as body temperature, body weight, blood pressure and other possible parameters related to medical data. In another embodiment, the filtered data may be passed to a transformation module to transform and/or reduce and/or normalize the data for prescriptive analysis, big data analytics, reporting, machine learning or for some other transformative prescriptive analytics. The transformed data may be utilized for automated or manual learning of the automatic recommendation and adaption system. In some embodiments, the machine learning module creates the automatic recommendation and adaption regime based on the logic designer module and logic data created by a medical expert using the clinical user interface. A clinical controller and scheduler module may schedule the automatic recommendation and adaption regime for the patient. A clinical dashboard module displays in real time the scheduled recommendation and adaption regime to a dashboard. In some embodiments, the clinical dashboard module may display data in one or more user interfaces of the patient device, the wellness management partner’s interface and the disease management partner’s interface. In some embodiments, the clinical dashboard module may display data on the patient device and the wellness or care pathway interface device. The scheduling and adaption of treatment and feedback for compliance of the automatic recommendation and adaption of treatment regime is displayed on a patient device.
“In some embodiments, the scheduling and adaption of treatment may be controlled by the machine learning module automatically.
“In some embodiments, the scheduling and adaption of treatment may be controlled by the learning algorithms based on decision tree module and/or rule based engine.
“In some embodiments, the scheduling and adaption of treatment may be controlled by the learning algorithms based on a rule based engine. The rules may be defined by the disease management partner or by a medical expert.
“In some embodiments, the type of data collected by the data aggregator module may include medical history of the patient, current and past clinical test data, hereditary data, DNA profile, and real time data that is captured by one or more medical devices at different instances of time in a specified period, for example, a day, a week, a month and the like.
“In some embodiments, the data filtering may be performed based on disease type, for example, chronic disease management, event prediction such as occurrence of a heart stroke, prediction of other diseases, or readmission to a hospital after discharge or some other type of health prediction.”
The claims supplied by the inventors are:
“1. A method of automatically recommending and adapting a treatment regime for a patient suffering from a disease, the method comprising: collecting medical data of the patient from a medical device; storing the medical data in a medical database; designing the logic for an automatic recommendation and adaption of the treatment regime of the patient by using a logic designer; providing the logic designer results to a machine learning processor along with the medical data of the patient to create the automatic recommendation and adaption regime; scheduling and monitoring the automatic recommendation and adaption regime for the patient; displaying in real time the scheduled recommendation and adaption regime to a clinical dashboard, and monitoring and evaluating the real time feedback from the patient related to the automatic recommendation and adaption regime.
“2. The method of claim 1, wherein the medical device comprises a patient device having a display for viewing at least one of a real time dashboard and the automatic recommendation and adaption regime.
“3. The method of claim 1, wherein the medical database is connected to a patient medical database with a life history of the patient.
“4. The method of claim 1, wherein the medical database is connected to an insurance database.
“5. The method of claim 1, wherein the logic designer is configured for a disease management partner to create a disease template.
“6. The method of claim 1, wherein the machine learning processor comprises an analytics database, a rule based engine, a recommendation engine, and a decision tree.
“7. The method of claim 1, wherein the automatic recommendation and adaption regime is managed by the machine learning processor.
“8. The method of claim 1, wherein the automatic recommendation and adaption regime is managed by a care management partner.
“9. The method of claim 1, wherein the automatic recommendation and adaption regime is displayed on a care management partner dashboard for compliance and adaption assessment.
“10. The method of claim 6, wherein the analytics database stores a set of rules for the automatic recommendation and adaption regime.
“11. An automatic recommendation and adaption system for a treatment regime of a patient suffering from a disease, the automatic recommendation and adaption system comprising: a data collector for collecting a medical data of the patient from a medical device; a medical database for storing the medical data; a logic designer module for designing a logic for the automatic recommendation and adaption of the treatment regime of the patient; a machine learning processor configured to use the medical database to create the automatic recommendation and adaption regime for treatment; a clinical controller and scheduler module configured to schedule and monitor the automatic recommendation and adaption regime for the patient; a clinical monitoring dashboard module configured to display in real time the scheduled automatic recommendation and adaption regime to a clinical dashboard, and a care provider interface configured to monitor and evaluate the real time feedback from the patient related to the automatic recommendation and adaption regime.
“12. The automatic recommendation and adaption system of claim 11, further comprising a patient device with a display for viewing at least one of a real time dashboard and the automatic recommendation and adaption regime for treatment.
“13. The automatic recommendation and adaption system of claim 11, wherein the medical database is connected to a patient medical database with a life history of the patient.
“14. The automatic recommendation and adaption system of claim 1, wherein the medical database is connected to an insurance database.
“15. The automatic recommendation and adaption system of claim 11, wherein the logic designer module is adapted to a clinical user interface for creating a disease template.
“16. The automatic recommendation and adaption system of claim 11, wherein the machine learning processor comprises an analytics database, a rule based engine, a recommendation engine, and a decision tree.
“17. The automatic recommendation and adaption system of claim 11, wherein the automatic recommendation and adaption regime is managed by the machine learning processor.
“18. The automatic recommendation and adaption system of claim 11, wherein the automatic recommendation and adaption regime is configured to be managed by a care management partner.
“19. The automatic recommendation and adaption system of claim 11 configured to be displayed on a care management partner display for compliance and adaption assessment.
“20. The automatic recommendation and adaption system of claim 16, wherein the analytics database stores the rules for the adapted treatment regime of the patient.”
URL and more information on this patent application, see: Muradia, Rajiv. System And Method To Automatically Recommend And Adapt A Treatment Regime For Patients. Filed
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