Systems, methods, and devices for aggregated health data processing and treatment recommendation generation platforms

Abstract

Some embodiments described herein are directed to a universal health platform that may efficiently provide sophisticated health data processing and treatment recommendations. In some embodiments, the platform may be configured to allow a user (e.g. a patient or health professional) to input or import a vast and varied collection of data including health, medical, lifestyle, historical, and other relevant data. The platform may be configured to process this data through a multifaceted and dynamically updated decision-making protocol to create a personalized patient report. In some embodiments, the personalized patient report may comprise various medications, treatment, preventative, health, lifestyle, and behavioral recommendations and/or plans. In some embodiments, the data input and personalized patient report features are communicated to a user through a dynamic user interface configured to automatically update and adjust based on newly inputted data or user selection and/or rejection of recommendations in the personalized patient report.

1 . (canceled) 
     
     
         2 . A system for personalized medical risk identification and generation of a personalized patient health reporting interface, the system comprising:
 a processing engine configured to interface with a plurality of medical data sources, wherein at least one medical data source of the plurality of medical data sources comprises an electronically accessible patient survey interface, and wherein the medical data comprises one or more medical data types;   a reporting engine configured to generate the personalized patient health reporting interface and update the personalized patient health reporting interface in response to a medical provider or specific patient input;   a system update interface configured to enable the medical provider to input data for new system logic, or for updates to existing system logic, for use by the processing engine in medical risk identification, the system update interface comprising:
 a function type menu for selecting a function type from a plurality of function types; 
 one or more patient data type menus for selecting a patient data type for use in defining the selected function type; and 
 one or more data range menus for defining data ranges corresponding to the selected patient data type; 
   one or more computer readable storage devices configured to store a plurality of computer executable instructions; and   one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the system to:
 collect and aggregate medical data for a specific patient from one or more of the plurality of medical data sources including at least the electronically accessible patient survey interface; 
 perform, by the processing engine, an adaptive rule-based analysis of the aggregated medical data for the specific patient to identify a patient medical risk level for the specific patient, and wherein the rule-based analysis comprises applying, to the medical data for the specific patient, one or more functions of a selected function type; 
 develop, by the processing engine, one or more patient treatment recommendations and/or treatment regimens for the specific patient based on the identified patient medical risk level; 
 generate, by the reporting engine, the patient health reporting interface comprising the one or more patient treatment recommendations and/or treatment regimens for the specific patient; and 
 display, to the medical provider, the patient health reporting interface, wherein the patient health reporting interface comprises one or more interactive elements, the one or more interactive elements comprising at least a modification mechanism, wherein the modification mechanism can be activated by the medical provider to adjust the patient treatment recommendations and/or treatment regimens. 
   
     
     
         3 . The system of  claim 2 , wherein the one or more interactive elements comprise at least an approval mechanism, wherein the approval mechanism can be activated by the medical provider to select one or more patient treatment recommendations and/or treatment regimens for the specific patient. 
     
     
         4 . The system of  claim 2 , wherein the reporting engine is further configured to programmatically generate and display, through the patient health reporting interface, a patient education plan upon activation of the approval mechanism. 
     
     
         5 . The system of  claim 2 , further comprising a data entry user interface configured to allow the medical provider to input the medical data into the system. 
     
     
         6 . The system of  claim 5 , wherein the data entry user interface is further configured to update through utilization of an application programming interface. 
     
     
         7 . The system of  claim 6 , wherein the data entry user interface is further configured to update through importation of medical data from a .CSV, .DOC, and/or .XLS file. 
     
     
         8 . The system of  claim 2 , wherein the function type menu, the one or more patient data type menus, and the one or more data range menus each comprise drop-down menus. 
     
     
         9 . The system of  claim 2 , wherein identifying the patient medical risk level comprises making at least one individual or aggregated lab, diagnostic, and/or biometric risk determination. 
     
     
         10 . The system of  claim 2 , wherein identifying the patient medical risk level comprises calculating at least one risk calculation formula score. 
     
     
         11 . The system of  claim 2 , wherein the one or more patient treatment recommendations and/or treatment regimens comprise at least one of sodium restrictions, specific food/drink recommendations, cardiovascular exercise, high intensity interval training (HIIT), strength training, flexibility training, weight lifting regimens, stress relief, sleep regimens, body composition improvement, quitting tobacco or assisting with other drug dependence, addiction rehabilitation, reduction of high cholesterol, high and/or low blood pressure treatment, recovery from heart attack and/or stroke, prevention of congestive heart failure, heart disease prevention, allergy treatment, prevention of cerebrovascular and/or cardiovascular disease, diabetes treatment, antithrombotic treatments, metabolism improvement, niacin deficiency treatment, treatment of sleep apnea and other sleep disorders, or uric acid disorders. 
     
     
         12 . The system of  claim 2 , wherein the medical data comprises one or more of lipid profile data, low-density lipoprotein, triglycerides, lipoprotein a, small dense LDL, cholesterol particle measurements, inflammation lab profile data, Oxidized low-density lipoprotein, ADMA, SDMA, Urinary Microalbumin/Creatinine Ratio, High-Sensitive C-Reactive Protein (hsCRP), Lipoprotein-associated phospholipase-A2, Lipoprotein-associated phospholipase-A2 Activity, Myeloperoxidase, microbiome labs, insulin resistance and diabetes laboratory tests, GlycoMark, Insulin Sensitivity, Homeostatic Model Assessment for Insulin Resistance, Beta Cell Function, Oral Glucose Tolerance Testing, myocardial laboratory tests markers, N-Terminal proBNP, SMC Cardiac Troponin, platelet function tests, vitamin and supplement labs, diagnostic data, Endothelial Function test, Ankle-brachial Pressure Index, Calcium Artery Score, Abdominal Aortic Aneurysm Screening, Echocardiogram, OralDNA/MyPeriopath, Obstructive Sleep Apnea test, biometric data, patient history, or lifestyle habits. 
     
     
         13 . The system of  claim 2 , wherein the patient medical risk level comprises clinical risk identification for at least one of heart attack, stroke, and diabetes. 
     
     
         14 . The system of  claim 2 , wherein the patient health reporting interface further comprises one or more medication, treatment, preventative, health, lifestyle, or behavioral recommendations. 
     
     
         15 . The system of  claim 2 , further comprising a report approval interface configured to allow the medical provider to approve, modify, and/or reject the generated patient health reporting interface. 
     
     
         16 . The system of  claim 2 , wherein at least one of the plurality of medical data sources comprises an electronic health record (EHR). 
     
     
         17 . The system of  claim 2 , wherein identifying the patient medical risk level comprises:
 calculating the specific patient Carotid Intima-Media Thickness (CIMT) percentile, wherein calculating the specific patient CIMT percentile comprises:
 obtaining values for parameters γ 0  and γ 1  for each of patient ages 40-70 by solving a non-linear equation of the form percentile (age-level) =1/1+exp(−(γ 0 +γ 1 CIMT)) using beta regression; and 
 estimating, using the non-linear equation and obtained values for parameters γ 0  and γ 1 , a patient CIMT percentile for the specific patient. 
   
     
     
         18 . The system of  claim 17 , wherein identifying the patient medical risk level comprises:
 calculating the specific patient Carotid Intima-Media Thickness (CIMT) age, wherein calculating the patient CIMT age comprises:
 obtaining values for parameters δ 0  and δ 1  by solving a linear equation of the form age=δ 0 +δ 1 CIMT using the 50 th  percentile CIMT across patients aged 40-70; and 
 calculating the patient CIMT age using the linear equation and the obtained values for parameters δ 0  and δ 1 . 
   
     
     
         19 . The system of  claim 2 , wherein the one or more medical data types comprise at least the following: diagnostic data, historic population data, historic patient data, lab testing data, medication data, lifestyle data, biographical data, and medical imaging data. 
     
     
         20 . A system for personalized medical risk identification and generation of a personalized patient health reporting interface, the system comprising:
 a processing engine configured to interface with a plurality of medical data sources, wherein at least one medical data source of the plurality of medical data sources comprises an electronically accessible patient survey interface, and wherein the medical data comprises one or more medical data types;   a reporting engine configured to generate the personalized patient health reporting interface and update the personalized patient health reporting interface in response to a medical provider or specific patient input;   a system update interface configured to enable the medical provider to input data for new system logic, or for updates to existing system logic, for use by the processing engine in medical risk identification, the system update interface comprising:
 a function type menu for selecting a function type from a plurality of function types; 
 one or more patient data type menus for selecting a patient data type for use in defining the selected function type; and 
 one or more data range menus for defining data ranges corresponding to the selected patient data type; 
   one or more computer readable storage devices configured to store a plurality of computer executable instructions; and   one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the system to:
 collect and aggregate medical data for a specific patient from one or more of the plurality of medical data sources including at least the electronically accessible patient survey interface; 
 perform, by the processing engine, an adaptive rule-based analysis of the aggregated medical data for the specific patient to identify a patient medical risk level for the specific patient, and wherein the rule-based analysis comprises applying, to the medical data for the specific patient, one or more functions of a selected function type; 
 develop, by the processing engine, one or more patient treatment recommendations and/or treatment regimens for the specific patient based on the identified patient medical risk level; 
 generate, by the reporting engine, the patient health reporting interface comprising the one or more patient treatment recommendations and/or treatment regimens for the specific patient; and 
 display, to the medical provider, the patient health reporting interface, wherein the patient health reporting interface comprises one or more interactive elements, wherein the one or more interactive elements comprise at least an approval mechanism, wherein the approval mechanism can be activated by the medical provider to select one or more patient treatment recommendations and/or treatment regimens for the specific patient, and wherein the reporting engine is further configured to programmatically generate and display, through the patient health reporting interface, a patient education plan upon activation of the approval mechanism. 
   
     
     
         21 . A computer implemented method for personalized medical risk identification and generation of a personalized patient health reporting interface, the method comprising:
 interfacing, by a computer system, with a plurality of medical data sources, wherein at least one medical data source of the plurality of medical data sources comprises an electronically accessible patient survey interface, and wherein the medical data comprises one or more medical data types;   generating, by the computer system, the personalized patient health reporting interface and updating the personalized patient health reporting interface in response to a medical provider or specific patient input;   enabling, by the computer system, the medical provider to input data for new system logic, or for updates to existing system logic, for use by a processing engine in medical risk identification;   collecting and aggregating medical data for a specific patient from one or more of the plurality of medical data sources including at least the electronically accessible patient survey interface;   performing, by the processing engine, an adaptive rule-based analysis of the aggregated medical data for the specific patient to identify a patient medical risk level for the specific patient;   developing, by the processing engine, one or more patient treatment recommendations and/or treatment regimens for the specific patient based on the identified patient medical risk level;   generating the patient health reporting interface comprising the one or more patient treatment recommendations and/or treatment regimens for the specific patient; and   displaying, to the medical provider, the patient health reporting interface, wherein the patient health reporting interface comprises one or more interactive elements, the one or more interactive elements comprising at least a modification mechanism, wherein the modification mechanism can be activated by the medical provider to adjust the patient treatment recommendations and/or treatment regimens.