MEDICAL HEALTH INFORMATION SYSTEM FOR HEALTH ASSESSMENT, WEIGHT MANAGEMENT AND MEAL PLANNING
First Claim
1. A computer implemented method, comprising:
- receiving, from one or more input devices, patient data comprising one or more of phenotype data specific to a patient, biometric data specific to the patient, nutritional health data specific to the patient, medical claims data specific to the patient, and organizational data specific to an organization to which the patient belongs;
generating, using one or more processors, one or more predictive models based on the patient data, using one or more algorithms executing on at least one processor of a computing apparatus, the one or more predictive models determining and indicating potential for development by the patient of disease and adverse health conditions, or providing users with weight management guidelines and meal planning, or both; and
outputting, onto one or more output devices, the potential for development by the patient of disease and adverse health conditions, the weight management guidelines and meal planning, or both.
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Abstract
A system and method provide nutrition assessments and tools for enabling users to achieve health-related goals based on specific health needs. The tools can include a nutrition assessment tool, a weight solution tool, a meal planning tool, and a meal tracking tool. The method includes receiving patient phenotype data. The phenotype data can include, but is not limited to, biometric data specific to the patient, medical claims data specific to the patient, organizational data specific to an organization to which the patient belongs, and behavioral data including dietary habits and nutritional history. One or more algorithms are executed on at least one processor of a computing apparatus to provide analyses of patient data in order. The results are output to a user in various web pages customized to provide features to the user.
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Citations
30 Claims
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1. A computer implemented method, comprising:
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receiving, from one or more input devices, patient data comprising one or more of phenotype data specific to a patient, biometric data specific to the patient, nutritional health data specific to the patient, medical claims data specific to the patient, and organizational data specific to an organization to which the patient belongs; generating, using one or more processors, one or more predictive models based on the patient data, using one or more algorithms executing on at least one processor of a computing apparatus, the one or more predictive models determining and indicating potential for development by the patient of disease and adverse health conditions, or providing users with weight management guidelines and meal planning, or both; and outputting, onto one or more output devices, the potential for development by the patient of disease and adverse health conditions, the weight management guidelines and meal planning, or both. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A computer implemented method, comprising:
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receiving, from one or more input devices, patient data comprising one or more of phenotype data specific to a patient, biometric data specific to the patient, nutritional health data specific to the patient, medical claims data specific to the patient, and organizational data specific to an organization to which the patient belongs; generating, using one or more processors, one or more predictive models based on the patient data, using one or more algorithms executing on at least one processor of a computing apparatus, the one or more predictive models determining user specific weight management guidelines, meal planning recommendations, or both; and outputting, onto one or more output devices, the weight management guidelines, meal planning recommendations, or both, to the user. - View Dependent Claims (16, 17, 18, 19)
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20-28. -28. (canceled)
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29. In a networked computer environment, a system, comprising:
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a storage device storing patient data comprising one or more of phenotype data specific to a patient, biometric data specific to the patient, nutritional health data specific to the patient, medical claims data specific to the patient, and organizational data specific to an organization to which the patient belongs; at least one processor provided with executable instructions for generating one or more predictive models, using one or more algorithms executing on the at least one processor, the one or more predictive models determining and indicating a potential for development by the patient of disease and adverse health conditions, or providing users with weight management guidelines and meal planning, or both; and an output mechanism configured to output the potential for development by the patient of disease and adverse health conditions, the weight management guidelines and meal planning, or both.
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30. (canceled)
Specification