Personalized display of health information
Abstract
Delivery of health information to a patient suffering from a chronic condition is personalized by displaying the health information directly on a customized image of a body. The patient's medical record, standards of care for the condition, prescribed treatments, and patient input are applied to a generalized health model of a disease to generate a personalized health model of the patient. The personalized health model comprises an HTML file encoding an image map of a body. The body image illustrates the health condition of the individual patient. Preferably, data is collected from health provider sources and stored in a database on a server at a service provider site. The data is processed at the server, and is displayed in the patient's home using a TV connected to a multimedia processor. The multimedia processor connects the television set to a communications network such as the Internet. Applications include preventive care of chronic diseases such as diabetes and asthma.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A system for displaying health information comprising:
a) a set of inputs for generating a set of data {D[j]}, j=1 . . . J, a datum D[j] characterizing a personal health condition of a patient; b) a processing means in communication with said set of inputs, for generating a personalized health model of said patient from a generalized health model of said patient and from said set of data {D[j]}; and c) a display means in communication with said processing means, for generating a display comprising a body image, said body image illustrating said personalized health model.
2 . The system of claim 1 wherein said personalized health model comprises a set of parameters {P[k]}, k=1 . . . K.
3 . The system of claim 2 wherein said generalized health model specifies a dependence of said set of parameters {(P[k]} on said set of data {D[j]}.
4 . The system of claim 2 wherein said processing means is adapted to assign values to said set of parameters {P[k]} using said set of data {D[j]}.
5 . The system of claim 2 wherein said set of parameters {P[k]} comprises a blood glucose level.
6 . The system of claim 2 wherein said set of parameters {P[k]} comprises a condition of a part of said patient.
7 . The system of claim 2 wherein said set of parameters {P[k]} comprises a parameter selected from the group of respiratory flow, blood pressure, cholesterol level, patient weight, T-cell count, and frequency of health episodes.
8 . The system of claim 1 wherein said set of inputs comprises a medical record of said patient.
9 . The system of claim 1 wherein said set of inputs comprises a record of a standard of care for a general health condition of said patient.
10 . The system of claim 1 wherein said set of inputs comprises a record of a prescribed treatment of said patient.
11 . The system of claim 1 wherein said set of inputs comprises a record of a display preference.
12 . The system of claim 1 wherein said set of inputs comprises a record of a personal profile of said patient.
13 . The system of claim 1 wherein said set of inputs comprises a patient identification means in communication with said display means, for specifying an identity of said patient.
14 . The system of claim 13 wherein said patient identification means is adapted to specify a prescribed treatment of said patient.
15 . The system of claim 13 wherein said patient identification means comprises a card.
16 . The system of claim 13 wherein said patient identification means is in communication with said display means and is adapted to specify an address of said processing means, for allowing a communication between said display means and said processing means.
17 . The system of claim 1 wherein said set of inputs comprises a patient feedback means in communication with said processing means, for generating a subset of feedback data.
18 . The system of claim 1 wherein said display means comprises a television set.
19 . The system of claim 1 wherein said display means comprises a multimedia processor for connecting said television set to said processing means.
20 . The system of claim 1 wherein said data set {D[j]} comprises a subset of simulation data characterizing a simulated personal health condition of said patient.
21 . The system of claim 1 wherein said display comprises a section assigned to a parameter P[k].
22 . The system of claim 1 wherein said body image comprises a section assigned to a parameter P[k].
23 . The system of claim 1 wherein a set of characteristics of said body image match a set of predetermined physical characteristics.
24 . The system of claim 23 wherein said set of physical characteristics comprises a characteristic selected from an age, a height, a gender, a weight, a skin color, and a hair color.
25 . The system of claim 23 wherein said body image comprises a reproduction of an image of said patient.
26 . The system of claim 1 wherein said body image comprises an image of a fictional character.
27 . The system of claim 1 wherein said processing means is in communication with said display means over a remote network.
28 . The system of claim 1 wherein said processing means is in communication with said set of inputs over a remote network.
29 . The system of claim 1 further comprising a data aggregation means in communication with said set of inputs and with said processing means, for collecting a subset of said set of data {D[j]} from said set of inputs.
30 . The system of claim 29 wherein said data aggregation means is in communication with said display means over a remote network.
31 . A method of providing personalized health information to a patient, said method comprising the steps of:
a) generating a set of data {D[j]}, j=1 . . . J, from a set of inputs, a datum D[j] characterizing a personal health condition of a patient; b) generating a personalized health model of said patient from a generalized health model of said patient and from said set of data {D[j]}; and c) generating a display comprising a body image, said body image illustrating said personalized health model.Join the waitlist — get patent alerts
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