U.S. patent application number 14/107443 was filed with the patent office on 2014-04-17 for personalized health history system with accommodation for consumer health terminology.
This patent application is currently assigned to WebMD, LLC. The applicant listed for this patent is WebMD, LLC. Invention is credited to Bradley R. BOWMAN, Philip D. MARSHALL, Michael J. ROZEN.
Application Number | 20140108052 14/107443 |
Document ID | / |
Family ID | 31978902 |
Filed Date | 2014-04-17 |
United States Patent
Application |
20140108052 |
Kind Code |
A1 |
MARSHALL; Philip D. ; et
al. |
April 17, 2014 |
PERSONALIZED HEALTH HISTORY SYSTEM WITH ACCOMMODATION FOR CONSUMER
HEALTH TERMINOLOGY
Abstract
Personalization of access to health-related information on a
computer network is provided based upon a health history of a user.
In one implementation, personal health-related information about
the user is obtaining from the user operating a client computer.
The health-related information includes one or more health-related
terms that each corresponds to a health-related concept. The health
related terms provided by the user are correlated with a health
terminology thesaurus that is stored on a computer-readable medium,
such as at a server remote from the user client. Each of the
health-related terms is associated with a single concept unique
identifier that uniquely identifies a corresponding health-related
concept. Health-related works or content is made accessible over
the computer network by correlating the concept unique identifiers
for the user's health information with corresponding concept unique
identifiers that are associated with the health-related
content.
Inventors: |
MARSHALL; Philip D.;
(Portland, OR) ; BOWMAN; Bradley R.; (Mableton,
GA) ; ROZEN; Michael J.; (Palm Beach Gardens,
FL) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
WebMD, LLC |
New York |
NY |
US |
|
|
Assignee: |
WebMD, LLC
New York
NY
|
Family ID: |
31978902 |
Appl. No.: |
14/107443 |
Filed: |
December 16, 2013 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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10654503 |
Sep 3, 2003 |
8612245 |
|
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14107443 |
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09512231 |
Feb 24, 2000 |
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10654503 |
|
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Current U.S.
Class: |
705/3 |
Current CPC
Class: |
G16H 10/60 20180101;
G06Q 30/02 20130101; G16H 50/70 20180101; G16H 70/60 20180101 |
Class at
Publication: |
705/3 |
International
Class: |
G06F 19/00 20060101
G06F019/00 |
Claims
1. A computer-implemented method comprising: receiving from a user
health information about the user, said health information
comprising health-related indicators of health conditions of the
user; for the health-related indicators within the health
information received about the user, identifying corresponding
concept unique identifiers (CUIs) from an index that identifies
relationships between CUIs and health-related indicators; storing
in an electronic database information about a plurality of
health-related works, wherein the plurality of health-related works
includes works selected from the group consisting of health-related
news and health-related articles; indexing the plurality of
health-related works by at least one of a content index and a
target population index, wherein the content index contains for
each health-related work CUIs identifying the content of that
health-related work and the target population index contains for
each health-related work target information identifying populations
of users for which that health-related work is appropriate; based
at least in part upon said CUIs for the health-related indicators
from the user, and at least one of the CUIs within the content
index for the plurality of health-related works and the target
information within the target index for the plurality of
health-related works, identifying health-related works among the
plurality of health-related works that are relevant to the user;
and providing to the user access to the identified health-related
works.
2. The method of claim 1, further comprising: correlating each
health-related work of the plurality of health-related works with a
plurality of concept unique identifiers so that said each
health-related work of the plurality of health-related works is
characterized by a subset of CUIs selected from said plurality of
concept unique identifiers.
3. The method of claim 1, further comprising: providing a user
interface to receive said health information about the user,
wherein said user interface is configured to communicate with a
computer server configured to verify said user's identity.
4. The method of claim 3, wherein said computer server is
configured to process the health information from said user to
identify any health-related indicators, and further, to identify
all possible CUIs corresponding to said health-related
indicators.
5. The method of claim 1, wherein identifying health-related works
further comprises: accessing one or more databases to obtain the
plurality of health-related works, said one or more databases
containing a variety of health-related literature.
6. The method of claim 5, wherein identifying health-related works
further comprises: for each health-related work of the plurality of
health-related works, determining whether the CUIs associated with
that health-related work contains at least one of the corresponding
CUIs; and responsive to determining that CUIs associated with one
of the health-related works contains at least one of the
corresponding CUIs, providing that health-related work to said
user.
7. The method of claim 1, wherein target information identifying
populations of users for which that health-related work is
appropriate does so by identifying populations of users for which
that health-related work is not appropriate.
8. The method of claim 1, wherein providing access involves
providing hyperlinks to the identified health-related works to the
user.
9. The method of claim 1, wherein providing access involves sending
the content of the identified health-related works to the user.
10. A computer system comprising: a user interface configured for
receiving from a user health information about the user, said
health information comprising health-related indicators pertaining
to personal health conditions; and a processor in electronic
communication with said user interface, said processor configured
to execute computer instructions to perform the following
functions: for the health-related indicators within the health
information received about the user, identifying corresponding
concept unique identifiers (CUIs) from an index that identifies
relationships between CUIs and health-related indicators, said
index stored in a database accessible to said processor; and
accessing one or more online databases containing a plurality of
health-related works, wherein the plurality of health-related works
includes works selected from the group consisting of health-related
news and health-related articles, wherein the plurality of
health-related works are indexed by at least one of a content index
and a target population index, wherein the content index contains
for each health-related work CUIs identifying the content of that
health-related work and the target population index contains for
each health-related work target information identifying populations
of users for which that health-related work is appropriate; based
at least in part upon said CUIs for the health-related indicators
from the user, and at least one of the CUIs within the content
index for the plurality of health-related works and the target
information within the target index for the plurality of
health-related works, identifying health-related works among the
plurality of health-related works that are relevant to the user;
and providing to the user access to the identified health-related
works.
11. The system of claim 10, wherein said processor is further
configured to execute computer instructions to perform the
following functions: responsive to the identifying health-related
works that are relevant to the user, sending said identified
health-related works to said user.
12. The system of claim 11, wherein sending said identified
health-related works are provided to said user by sending an
email.
13. The system of claim 12, wherein sending an email involves
sending either the content of said identified health-related works
or a URL link for accessing the content of said identified
health-related works.
14. The system of claim 10, wherein said processor is configured to
access said one or more online databases containing a variety of
health-related literature via a communication network.
15. The system of claim 10, wherein target information identifying
populations of users for which that health-related work is
appropriate does so by identifying populations of users for which
that health-related work is not appropriate.
16. The system of claim 10, wherein providing access involves
providing hyperlinks to the identified health-related works to the
user.
17. The system of claim 10, wherein providing access involves
sending the content of the identified health-related works to the
user.
Description
PRIORITY
[0001] This application claims priority of U.S. patent application
Ser. No. 10/654,503 filed on Sep. 3, 2003, issuing as U.S. Pat. No.
8,612,245 on Dec. 17, 2013, which claims priority to U.S. patent
application Ser. No. 09/512,231, filed on Feb. 24, 2000, all of
which are incorporated herein in their entirety.
FIELD OF THE INVENTION
[0002] The present invention relates to providing personalized
access to content that is available over a computer network and, in
particular. to providing health-related content that is accurately
personalized according to personal health information about the
user, including health information that is described in lay medical
terminology.
BACKGROUND AND SUMMARY OF THE INVENTION
[0003] Consumer health information is growing in importance and
popularity, with computer networks such as the Internet providing a
growing share of the information. It is estimated that health
issues are addressed at tens of thousands of online sites with
potentially millions of pages of health-related works or content.
With a general lack of clinical and editorial standards for
health-related content, lay consumers without specific medical
training, and even trained medical professionals, can have
relatively little success in finding desired or relevant
information among such vast resources.
[0004] Moreover, given the extremely personal nature of health,
most individuals have minimal interest in browsing materials that
have no relevance to their health or the health of their families.
Yet most of the health information available at conventional
network (e.g., Internet) sites or portals addresses only general
topics. Such information seldom has any particular relevance to
individual users. Accordingly, there is a need for an improved way
of obtaining relevant or personalized health-related content from
computer networks such as the Internet.
[0005] Conventional network (e.g., Internet) systems employ a
variety of personalization processes that at least minimally
personalize a network site for different visitors or users. The
personalization provided by many such processes is relatively
simplistic and provides personalization only to the extent of a
small number of personalization options. These conventional
personalization processes include Greetings, which can be as simple
as providing a "welcome sign" that informs the user of the state of
a single condition, such as, "Hello you've got mail;" Pick Lists,
which allow users to select from predetermined lists of news
categories, horoscopes, sports scores, etc.; Keywords, codes or
symbols, which can be referenced by entering keywords such as zip
codes for local weather forecasts or stock ticker symbols for stock
quotes; Demographic/traffic analysis, which is usually derived from
a log file which indicates a user's name, email address, zip code,
and Internet Service Provider information; Comparison methods,
which use data provided by other users to highlight similarities
and differences among users; and Collaborative processes, which
select content or works based on the preferences of others who are
in some way similar to the user.
[0006] Personalization processes in use today, including the use of
demographics and pick-lists, are inadequate for the vast amounts of
health-related information and the relatively narrow interests of
many users. Pick Lists are useful, when the possible selections
number fewer than several (e.g., 4 or 5) dozens. However, health
related content can be usefully categorized among hundreds or
thousands of distinct topics. As a consequence, conventional
health-related network sites that employ Pick Lists for
personalization typically provide relatively few selections that
each cover broad areas of information. Such broad coverage areas
render such personalization ineffective for the specific
health-related information desired by many users.
[0007] The present invention provides personalization of access to
health-related content on a computer network based upon a health
history of a user. In one implementation, personal health-related
information about the user is obtained from a user operating a
client computer. The health-related information includes one or
more health-related terms that each corresponds to a health-related
concept. The personal health information may relate to health
conditions, which may include medical diagnoses like diabetes, high
blood pressure, pneumonia, or pregnancy, or any current or past
health problems like poor vision, chronic joint pain, cancer, or
alcoholism. The health information could also or alternatively
relate to allergies, tests, vaccinations, surgeries or procedures,
etc. that affect or have affected the health of the user or that
are a part of the user's health history.
[0008] The health related terms provided by the user are correlated
with a health terminology thesaurus that is stored on a
computer-readable medium, such as at a server remote from the user
client. Each of the health-related terms is associated with a
single concept unique identifier that uniquely identifies a
corresponding health-related concept. Each concept unique
identifier has associated with it one or more terms corresponding
to a common health-related concept. Some of the terms are clinical
medical terms and others are lay medical terms that are not
clinical medical terms.
[0009] Health-related works or content that is accessible over a
computer network may be identified in a personalized manner based
upon the concept unique identifiers. The health-related content may
include, for example, health news, product and service information,
disease information, medication information, and other
health-related content. Each health-related work has associate with
one or more concept unique identifiers. Personalized identification
of the health-related works entails matching the concept unique
identifiers of the terms provided by the user with the concept
unique identifiers of works relating to those terms. In addition,
the Concept Unique Identifier is related to other Concept Unique
Identifiers to give it greater semantic meaning and context. The
relationships of concepts are derived from existing professional
healthcare vocabularies, including Snomed, Medical Subject
Headings, and International Classification of Diseases. These
relationships allow the term "type 2 sugar disease" which equates
to the concept of adult-onset diabetes mellitus, to be related as a
narrower concept to diabetes mellitus, which in turn is a narrower
concept than diabetes, which in turn is a narrower concept to
endocrine and glandular disorders. This then allows an article
written simply about "Diabetes" to find all those who would benefit
from this information, including those who described themselves as
having "type 2 sugar disease."
[0010] The present invention provides personalized access to
health-related information that can accommodate the particular
interests of both professional and lay users and the vast amounts
of and conflicting terminology in health-related information. In
contrast, conventional personalization processes are inadequate for
the particularized interests of users in combination with the vast
and complex resources of health-related information.
[0011] Additional objects and advantages of the present invention
will be apparent from the detailed description of the preferred
embodiment thereof, which proceeds with reference to the
accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
[0012] FIG. 1 is a block diagram of a computer system that may be
used to implement the present invention.
[0013] FIG. 2 is a flow diagram of a health history personalization
process.
[0014] FIG. 3 is a block diagram of one implementation of a health
history personalization computer system.
[0015] FIG. 4 is a diagrammatic illustration of a health
information terminology-wizard user interface.
DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
[0016] FIG. 1 illustrates an operating environment for an
embodiment of the present invention as a computer system 20 with a
computer 22 that comprises at least one high speed processing unit
(CPU) 24 in conjunction with a memory system 26, an input device
28, and an output device 30. These elements are interconnected by
at least one bus structure 32.
[0017] The illustrated CPU 24 is of familiar design and includes an
ALU 34 for performing computations, a collection of registers 36
for temporary storage of data and instructions, and a control unit
38 for controlling operation of the system 20. The CPU 24 may be a
processor having any of a variety of architectures including Alpha
from Digital, MIPS from MIPS Technology, NEC, IDT, Siemens, and
others, x86 from Intel and others, including Cyrix, AMD, and
Nexgen, and the PowerPC from IBM and Motorola.
[0018] The memory system 26 generally includes high-speed main
memory 40 in the form of a medium such as random access memory
(RAM) and read only memory (ROM} semiconductor devices, and
secondary storage 42 in the form of long term storage mediums such
as floppy disks, hard disks, tape, CD-ROM, flash memory, etc. and
other devices that store data using electrical, magnetic, optical
or other recording media. The main memory 40 also can include video
display memory for displaying images through a display device.
Those skilled in the art will recognize that the memory 26 can
comprise a variety of alternative components having a variety of
storage capacities.
[0019] The input and output devices 28 and 30 also are familiar.
The input device 28 can comprise a keyboard, a mouse, a physical
transducer (e.g., a microphone), etc. The output device 30 can
comprise a display, a printer, a transducer (e.g., a speaker), etc.
Some devices, such as a network interface or a modem, can be used
as input and/or output devices.
[0020] As is familiar to those skilled in the art, the computer
system 20 further includes an operating system and at least one
application program. The operating system is the set of software
which controls the computer system's operation and the allocation
of resources. The application program is the set of software that
performs a task desired by user, using computer resources made
available through the operating system. Both are resident in the
illustrated memory system 26.
[0021] In accordance with the practices of persons skilled in the
art of computer programming, the present invention is described
below with reference to acts and symbolic representations of
operations that are performed by computer system 20, unless
indicated otherwise. Such acts and operations are sometimes
referred to as being computer-executed and may be associated with
the operating system or the application program as appropriate. It
will be appreciated that the acts and symbolically represented
operations include the manipulation by the CPU 24 of electrical
signals representing data bits which causes a resulting
transformation or reduction of the electrical signal
representation, and the maintenance of data bits at memory
locations in memory system 26 to thereby reconfigure or otherwise
alter the computer system's operation, as well as other processing
of signals. The memory locations where data bits are maintained are
physical locations that have particular electrical, magnetic, or
optical properties corresponding to the data bits.
[0022] FIG. 2 is a flow diagram of a health history personalization
process 50 for personalizing health-related content that is
accessible by a user at a network-connected computer, the user
commonly being a lay individual without specific medical training.
The computer network may be private or public and may be a local
area network or a wide area network. In one implementation, health
history personalization process 50 operates and access to the
health-related content are provided to the user over the
Internet.
[0023] Process block 52 indicates that personal health information
is collected about the user. The personal health information may
relate to health conditions, which may include medical diagnoses
like diabetes, high blood pressure, pneumonia, or pregnancy, or any
current or past health problem like poor vision, chronic joint
pain, cancer, or alcoholism.
[0024] Alternatively, the health information could relate to
allergies, tests, vaccinations, surgeries or procedures. etc. that
affect or have affected the health of the user or that are a part
of the user's health history.
[0025] For purposes of explanation, the following description is
made with reference to the health information relating to health
conditions. It will be appreciated that the description is
similarly applicable to other types of health information,
including information relating to allergies, tests, vaccinations,
surgeries or procedures, etc.
[0026] Process block 54 indicates that the personal health
information are correlated with predefined concept unique
identifiers (CUIs). Each concept unique identifier uniquely
identifies a predefined health-related concept (e.g., a health
condition). The concept unique identifiers provide standardized
identification of the predefined health-related concepts
independent of traditional variations between lay medical and
clinical medical terminology for health conditions, as described
below in greater detail. In one implementation, the concept unique
identifiers are in the form of alpha-numeric segments (e.g., 8
characters each). Alternatively, numeric or alphabetic segments
could be used.
[0027] The concept unique identifiers are based on core medical
concepts, enabling multiple synonyms and related terms to be mapped
to the same concept unique identifier or code. For example,
"hyperpeisis," "elevated systolic pressure," "high blood pressure,"
"hypertensive vascular disease" and "high blood" are all used in
consumer and professional circles to describe the same thing: high
blood pressure. Accordingly, all these terms would be mapped or
associated with a single concept unique identifier.
[0028] Process block 58 indicates that one or more concept unique
identifiers are associated with each of many health-related works
or content (e.g., health news, product and service information,
disease information, medication information, and other
health-related content that are available over the network) that
relate to the predefined health-related concepts corresponding to
the concept unique identifiers. The associations between the
health-related content and the concept unique identifiers are
maintained in a database as a data structure on a computer-readable
medium.
[0029] In addition to the association of concept unique identifiers
pertaining to the subject of the health related works, a
combination of concept unique identifiers is associated with the
health related works to identify the appropriate populations of
users for whom the health-related work are most appropriate.
Additive concept unique identifiers are used to identify
populations of appropriate users, such as male, age 40-60, history
of prostate cancer, on the medicine Lupron, and on the medicine
Aspirin. Exclusion of concepts from the target population of users
is also performed, such as the above criteria, but excluding users
who are on the medicine Proscar.
[0030] As another example for how the system can utilize a
combination of concept unique identifiers and excluded concept
unique identifiers to define populations of appropriate recipients
for health-related works, the association of subject-based concept
unique identifiers to a news article entitled "Exercise found to
reduce the risk for breast cancer" will result in the concept
unique identifiers for breast cancer, breast cancer prevention, and
exercise. This article then is also indexed with a combination of
concept unique identifiers (additive and/or excluded) for which the
article is most appropriate. For example, the above mentioned
article would be "targeted" to women between the ages of 30 and 70
who are at risk for breast cancer but who have not had a history of
breast cancer.
[0031] Process block 60 indicates that the concept unique
identifiers for the personal health information collected about the
user are correlated with the concept unique identifiers of
health-related content available over the computer network to
identify health-related content that is personalized for the
user.
[0032] Process block 62 indicates that access to the personalized
health-related content is provided to the user. It will be
appreciated that the access to the content may be provided to the
user in a number of ways. For example, the personalized
health-related content may be provided as personalized hyperlinks
that are selectable by the user or the content itself may be
provided directly to the user. The access to the personalized
health-related content may be provided to the user in several ways.
For example, the access to the content may be "pushed" to the user
without a specific request by the user for the information, but
rather based upon the personal health information provided by the
user. As another example, the access to the information may be
provided to the user in response to a specific request or search by
the user.
[0033] Exemplary concept unique identifiers and corresponding
predefined health-related concepts or terms for several health
conditions are listed below in Table 1. The relationship between
each concept unique identifier and the corresponding health-related
term or terms forms a data structure that is stored in a
computer-readable medium and includes a concept unique identifier
(e.g., alphanumeric) and one or more associated health-related
terms. The data structure allows uniform identification of
health-related concepts despite a variety of lay medical terms and
clinical medical terms being in use. The listing of Table 1 is not
exhaustive of the health condition medical terms to which the
concept unique identifiers may be applied.
TABLE-US-00001 TABLE 1 Clinical Medical Term or Terms Lay Medical
Term CUI guarding of the abdomen- abdomen sensitive to C0238547
involuntary touch nipple discharge, abnormal abnormal nipple
C0149741 discharge adrenalin-test adrenalin level C0201998
aminophylline, serum aminophylline level C0002575 amitriptyline,
serum amitriptyline level C0202316 ammonia-test ammonia level
C0201879 salicylate, serum aspirin level C0202463 congenital band
syndrome baby bands C0220724 urination, bed wetting bed wetting
C0014394 oropharynx lesion biopsy biopsy of throat C0192211
periods, menstrual-bleeding bleeding between C0302811 between
menstrual periods ear discharges/bleeding bleeding from ear
C0271412 HCG (qualitative-serum) blood HCG level C0430064
hemoglobin; serum blood hemoglobin level C0523685 lead-serum blood
lead level C0524167 lithium. serum blood lithium level C0337452
born with an optic disc abnormality born with an abnormal C0521571
optic nerve tachypnea breathing fast C0231835 backbone fracture
broken back C0080179 metacarpal fracture broken metacarpal C0272677
sacrum/coccyx fracture broken tailbone C0149860 monoplegia of lower
extremity can't move leg C0154702 dysuria pain with urination.
C0028961 vision, night blindness can't see at night C0028077
inability to sleep can't sleep C0021603 smell, impaired can't smell
C0481703 median nerve release carpal tunnel surgery C0196576
hoarseness or changing voice changing voice C0518179 chest
laceration chest cut C0432951 Hiccups, Chronic chronic hiccups
C0019521 chronic pain and fatigue condition chronic pain C0150055
diuretic water pill C0033231 hydroxyzine injection cortisone shot
C0010137 computerized tomography of orbit CT of eye socket C0202754
CXR Chest XRay C0202783 Fracture broken C0016658 Diabetes mellitus
Sugar disease C0011849 Coronary artery disease Heart disease
C0010068 Arm pain Sore arm C0003795 Operative procedure of the knee
Knee Surgery C0187769 Family history of high CL103117 blood At risk
for heart disease Cl200220 Knee ligament injury Cl111745 sweat
electrolytes test for cystic fibrosis C0428295
[0034] The concept unique identifiers and corresponding predefined
health-related terms form a health terminology thesaurus that is
stored on a computer-readable medium and provides the concept
unique identifiers based upon the health-related terms. The
consumer health terminology thesaurus incorporates terminology from
many health-related vocabularies, including The Systematized
Nomenclature of Medicine (SNOMED) promulgated by the College of
American Pathologists and the International Classification of
Diseases: 9th revision, Clinical Modification, promulgated by the
Health Care Financing Administration. as well as the many consumer
and lay medical terms created by WellMed, Inc. The thesaurus is an
extension of the Unified Medical Language System (UMLS)
Metathesaurus promulgated by the National Library of Medicine.
[0035] FIG. 3 is a block diagram of one implementation of a health
history personalization computer system 100, which includes a user
client 102 that communicates over a computer network 104 with a
health history personalization server 106. Server 106 may be
implemented as one or more server computers. In the case of
multiple server computers, they may be local to each other or may
be remote from each other and in communication via a computer
network. User client 102 may be implemented as, for example, an
interactive document or page that is accessible by the user at a
client computer with conventional browser software.
[0036] Health history personalization server 106 stores a health
terminology thesaurus 108 that correlates health terminology with
concept unique identifiers. Health history personalization server
106 also includes health information personalization software 109
that cooperates with user client 102 for identifying the concept
unique identifiers that correspond to personal health information
(e.g., health conditions} specified by the user.
[0037] FIG. 4 is a diagrammatic illustration of a health
information terminology wizard user interface 110 that is rendered
on a display screen for the user by user client 102. Health
information terminology wizard user interface 110 assists a user in
providing personal health information to health history
personalization computer system 100.
[0038] User interface 110 includes a health information (e.g.,
health condition) entry pane 112 in which the user is prompted to
enter a current or past health condition. A graphical control 114
allows the user to commence a search of health terminology
thesaurus 108 for terms that are related or correspond to the
health condition terminology the user entered into entry pane 112.
In one implementation, the commencing of the search results in the
health condition terminology entered by the user being transmitted
over network 104 to health history personalization server 106 where
thesaurus 108 is stored.
[0039] Any health terms that health information personalization
software 109 identifies in thesaurus as 108 corresponding or
relating to the information entered by the user are returned for
display in a health terminology (e.g., health conditions) pane 114
of user interface 110. A prompt instructs the user to select one of
the returned health terms that best corresponds to the user's
health condition. Alternatively, the user may select an instruction
to store the health information (e.g., health condition) as entered
in entry pane 112. In one optional implementation, user interface
106 includes a definitions pane 116 in which text definitions may
be provided for health terms selected by the user from health
terminology pane 114 (e.g., cystitis in the illustration of FIG.
4). Health information personalization software 109 further
includes a health terminology spell checking component that checks
the spelling of terms entered by the user. In the event of apparent
misspellings or unrecognized terms, server 106 returns to health
terminology pane 114 one or more suggested correct spellings.
Health history personalization server 106 correlates a concept
unique identifier with the health term selected by the user as
corresponding to the user's health condition, unless the user
selects the instruction to store the health information (e.g.,
health condition) as typed in entry pane 112 rather than one of the
returned matches. The concept unique identifier is stored at server
106 with identifying information regarding the user. When
submitting a query in the entry pane 112, users may use a word
related to the desired result. For example, the user may enter
"heart" in the health conditions entry pane 112 to retrieve a list
of health conditions having to do with the heart. Similarly, the
user may enter "diabetes" to find all health conditions related to
diabetes.
[0040] Also stored at server 106 are a listing of health-related
content that is available over the network and concept unique
identifiers indicative of the subject matter of the content. For
example, server 106 could store a link or a network address for a
news article entitled "Gene Identified As Cause Of Skin Disease"
having associated with it the subject concepts of Xeroderma
Pigmentosa (concept C0043345), skin cancer (concept C0007114), and
genetic research (concept C0243064).
[0041] Server 106 correlates the user's personal health information
(e.g., health conditions) with the corresponding health-related
content. Server 106 identifies content having the same concept
unique identifiers as those associated with the user's personal
health information. For example, the news article entitled "Gene
Identified As Cause Of Skin Disease" could be correlated with users
who have Xeroderma Pigmentosa (concept C0043345), and users with
skin cancer (concept C0007114). Links to the news article could be
provided to both groups of users either in response to searches
they conduct related to the specified topics, or the links maybe
delivered to the users automatically as a "push" of potentially
relevant information identified at server 106.
[0042] As stated above with reference to FIG. 3, server 106 may be
implemented as one or more server computers. In one implementation,
thesaurus 108 resides on a first one or more server computers,
personalization software 109 resides on a second one or more server
computers, and the profiles of the individual users reside on a
third one or more server computers.
[0043] Having described and illustrated the principles of our
invention with reference to an illustrated embodiment, it will be
recognized that the illustrated embodiment can be modified in
arrangement and detail without departing from such principles. It
should be understood that the programs, processes, or methods
described herein are not related or limited to any particular type
of computer apparatus, unless indicated otherwise. Various types of
general purpose or specialized computer apparatus may be used with
or perform operations in accordance with the teachings described
herein. Elements of the illustrated embodiment shown in software
may be implemented in hardware and vice versa.
[0044] In view of the many possible embodiments to which the
principles of our invention may be applied, it should be recognized
that the detailed embodiments are illustrative only and should not
be taken as limiting the scope of our invention. Rather, we claim
as our invention all such embodiments as may come within the scope
and spirit of the following claims and equivalents thereto.
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