In one aspect, a method related to health-related data management. In addition to the foregoing, other method and system and program product aspects are described in the claims, drawings, and text forming a part of the present application.
대표청구항▼
1. A method for a computer processor related to health-related data management, the method comprising: controlling at least one network health regimen information database at least partially using one or more processing components including at least: providing health regimen information in the at le
1. A method for a computer processor related to health-related data management, the method comprising: controlling at least one network health regimen information database at least partially using one or more processing components including at least: providing health regimen information in the at least one network health regimen information database including one or more data structures linked by associative information;enabling a plurality of users of the at least one network health regimen information database at least to access, add, and modify information in the at least one network health regimen information database including at least enabling the plurality of users to modify one or more linkages between health regimen entities;accepting input information from at least one user of the plurality of users of the at least one network health regimen information database, the input information including at least information indicating at least one of patterns or correlations between health regimen entities in the health regimen information linked by associative information;automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities based at least partly on the information indicating at least one of patterns or correlations between health regimen entities in the health regimen information linked by associative information and user modification of the one or more linkages between health regimen entities; andstoring the associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between the two or more health regimen data entities, wherein accessibility to the health regimen entities in the at least one network health regimen information database is modified in response to the input information received from the at least one user. 2. The method of claim 1, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: at least one of: accepting input information for changing one or more health regimen data entities; oraccepting input information for altering one or more health regimen data entities. 3. The method of claim 1, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for deleting one or more health regimen data entities. 4. The method of claim 1, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for including at least one table of correlation in one or more data structures. 5. The method of claim 1, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for adding information to one or more health regimen data entities. 6. The method of claim 1, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for deleting information from one or more health regimen data entities. 7. The method of claim 1, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for integrating at least one report of an experience by at least one end-user into one or more health regimen data entities. 8. The method of claim 1, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for accepting a change in one or more health regimen data entities from an end-user. 9. The method of claim 1, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for accepting a change in one or more health regimen data entities from a vendor. 10. The method of claim 1, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: at least one of: accepting input information for accepting a change in one or more health regimen data entities from a publisher; oraccepting input information for accepting a selection of at least one health regimen data entity. 11. The method of claim 1, wherein the plurality of users of the at least one network health regimen information database includes: at least one of an end-user, a vendor, or a publisher. 12. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nesting health regimen data entity and a second nesting health regimen data entity that is linked with one or more other health regimen data entities. 13. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nesting health regimen data entity and a second nested health regimen data entity that is linked with one or more other health regimen data entities. 14. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nested health regimen data entity and a second nested health regimen data entity that is linked with one or more other health regimen data entities. 15. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nested health regimen data entity and a second nesting health regimen data entity that is linked with one or more other health regimen data entities. 16. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nesting health regimen data entity and a second non-nesting health regimen data entity that is linked with one or more other health regimen data entities. 17. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nesting health regimen data entity and a second non-nested health regimen data entity that is linked with one or more other health regimen data entities. 18. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nested health regimen data entity and a second non-nesting health regimen data entity that is linked with one or more other health regimen data entities. 19. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nested health regimen data entity and a second non-nested health regimen data entity that is linked with one or more other health regimen data entities. 20. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a vitamin regimen data entity and a constituent substance data entity that is linked with one or more personal notes data entities. 21. The method of claim 1, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a vitamin regimen data entity and a constituent substance data entity that is linked with one or more personal notes data entities. 22. A system comprising: at least one server configured for controlling at least one network health regimen information database at least partially using one or more processing components including at least: at least one memory configured for storing health regimen information in the at least one network health regimen information database including one or more data structures linked by associative information;circuitry configured for enabling a plurality of users of the at least one network health regimen information database at least to access, add, and modify information in the at least one network health regimen information database including at least enabling the plurality of users to modify one or more linkages between health regimen entities;circuitry configured for accepting input information from at least one user of the plurality of users of the at least one network health regimen information database, the input information including at least information indicating at least one of patterns or correlations between health regimen entities in the health regimen information linked by associative information;circuitry configured for automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities based at least partly on the information indicating at least one of patterns or correlations between health regimen entities in the health regimen information linked by associative information and user modification of the one or more linkages between health regimen entities; andcircuitry configured for storing the associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between the two or more health regimen data entities, wherein accessibility to the health regimen entities in the at least one network health regimen information database is modified in response to the input information received from the at least one user. 23. A system comprising: means for controlling at least one network health regimen information database at least partially using one or more non-transitory computer readable media bearing one or more instructions executable on one or more processing components including at least: means for providing health regimen information in the at least one network health regimen information database including one or more data structures linked by associative information;means for enabling a plurality of users of the at least one network health regimen information database at least to access, add, and modify information in the at least one network health regimen information database including at least enabling the plurality of users to modify one or more linkages between health regimen entities;means for accepting input information from at least one user of the plurality of users of the at least one network health regimen information database, the input information including at least information indicating at least one of patterns or correlations between health regimen entities in the health regimen information linked by associative information;means for automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities based at least partly on the information indicating at least one of patterns or correlations between health regimen entities in the health regimen information linked by associative information and user modification of the one or more linkages between health regimen entities; andmeans for storing the associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between the two or more health regimen data entities, wherein accessibility to the health regimen entities in the at least one network health regimen information database is modified in response to the input information received from the at least one user. 24. A system comprising: one or more non-transitory computer readable media bearing one or more instructions for facilitating operations including at least: controlling at least one network health regimen information database at least partially using one or more processing components including at least: providing health regimen information in the at least one network health regimen information database including one or more data structures linked by associative information;enabling a plurality of users of the at least one network health regimen information database at least to access, add, and modify information in the at least one network health regimen information database including at least enabling the plurality of users to modify one or more linkages between health regimen entities;accepting input information from at least one user of the plurality of users of the at least one network health regimen information database, the input information including at least information indicating at least one of patterns or correlations between health regimen entities in the health regimen information linked by associative information;automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities based at least partly on the information indicating at least one of patterns or correlations between health regimen entities in the health regimen information linked by associative information and user modification of the one or more linkages between health regimen entities; andstoring the associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between the two or more health regimen data entities, wherein accessibility to the health regimen entities in the at least one network health regimen information database is modified in response to the input information received from the at least one user. 25. The system of claim 24, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for integrating at least one report of an experience by at least one end-user into one or more health regimen data entities. 26. The system of claim 24, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: adding information to one or more health regimen data entities. 27. The system of claim 24, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for deleting information from one or more health regimen data entities. 28. The system of claim 24, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for altering information associated with one or more health regimen data entities. 29. The system of claim 24, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information for accepting a change to one or more health regimen data entities from an end-user. 30. The system of claim 24, wherein the accepting input information from at least one user of the plurality of users of the at least one network health regimen information database includes: accepting input information including a selection of at least one health regimen data entity. 31. The system of claim 24, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nesting health regimen data entity and a second nesting health regimen data entity that is linked with one or more other health regimen data entities. 32. The system of claim 24, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nesting health regimen data entity and a second nested health regimen data entity that is linked with one or more other health regimen data entities. 33. The system of claim 24, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nested health regimen data entity and a second nested health regimen data entity that is linked with one or more other health regimen data entities. 34. The system of claim 24, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nested health regimen data entity and a second nesting health regimen data entity that is linked with one or more other health regimen data entities. 35. The system of claim 24, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nested health regimen data entity and a second nesting health regimen data entity that is linked with one or more other health regimen data entities. 36. The system of claim 24, wherein the automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between two or more health regimen data entities comprises: at least one of: automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nesting health regimen data entity and a second non-nested health regimen data entity that is linked with one or more other health regimen data entities;automatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nested health regimen data entity and a second non-nesting health regimen data entity that is linked with one or more other health regimen data entities; orautomatically correlating one or more health regimen entities including adding associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between a first nested health regimen data entity and a second non-nested health regimen data entity that is linked with one or more other health regimen data entities. 37. The system of claim 24, wherein the plurality of users of the at least one network health regimen information database includes: at least one of an end-user, a vendor, or a publisher. 38. The method of claim 21 wherein the storing the associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between the two or more health regimen data entities, wherein accessibility to the health regimen entities in the at least one network health regimen information database is modified in response to the input information received from the at least one user comprises: storing the associative information to the one or more data structures including at least one of pointers or identifiers indicating at least one or more linkages between the vitamin regimen data entity and the constituent substance data entity such that personal note information of the one or more personal notes data entities is provided in association with the vitamin regimen data entity.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (93)
Dodds,W. Jean, Animal healthcare, well-being and nutrition.
Beauregard Gary Michael ; Loucks Larry Keith ; Nguyen Khoa Dang ; Urquhart Robert John, Computer program product for utilizing fast polygon fill routines in a graphics display system.
Park Euljoon ; Bornzin Gene A. ; Florio Joseph J. ; Bradley Kerry ; Gibb William, Implantable cardiac stimulation device and method for varying pacing parameters to mimic circadian cycles.
Kessler Woodrow B. (765 Hillview Rd. Malvern PA 19355) Kessler Rex K. (761 Hillview Rd. Malvern PA 19355), Medical data draft for tracking and evaluating medical treatment.
Anderson Paul J. (Bloomington MN) Jessen Ross A. (Chaska MN) Linde David R. (Maple Grove MN) Jones Richard E. (Bloomington MN) Walter Bert (Mendota Heights MN) Christenson Paul E. (Apple Valley MN), Medical diagnostic system.
Gerald E. Goetz ; Terry Precht ; Eric Krug ; Andrew Fanton ; Joe Keating ; Brian Coppom ; Bradley Thompson ; Brian Hepp, Medication monitoring system and apparatus.
Das,Rajarshi; Lassettre,Edwin Richie; Segal,Alla; Whalley,Ian Nicholas; White,Steve Richard, Method and apparatus for automatic updating and testing of software.
Anderson Milton ; Jaffe Frank ; Hibbert Chris ; Virkki Jyri ; Kravitz Jeffrey ; Chang Sheveling ; Palmer Elaine, Method and system for processing electronic documents.
Anderson Milton ; Jaffe Frank ; Hibbert Chris ; Virkki Jyri ; Kravitz Jeffrey ; Chang Sheveling ; Palmer Elaine, Method and system for processing electronic documents.
Gogolak,Victor, Method and system for the analysis and association of patient-specific and population-based genomic data with drug safety adverse event data.
Gombrich Peter P. (Boulder CO) Zook Ronald E. (Boulder CO) Hendrickson Max S. (Forest Lake MN), Patient identification and verification system and method.
White, Gale; Hill, Roger; Zakrewski, Michael J.; Kummerlen, Ruth; Abbott, Martyn Stuart; Brooks, Robert C., Patient medication IV delivery pump with wireless communication to a hospital information management system.
Goldman Arnold J. (55 Bar Kochbar St. Jerusalem 97890 ILX) Greenberg David L. (13 Even Shmuel St. Jerusalem 91230 ILX), Personalized method and system for storage, communication, analysis, and processing of health-related data.
Maestre Federico A. (2 Hawthorne Pl.-Apt. 6M Boston MA 02114), Portable programmable medication alarm device and method and apparatus for programming and using the same.
Donner,Irah H., System and method for determining and/or transmitting and/or establishing communication with a mobile device user for providing, for example, concessions, tournaments, competitions, matching, reallocating, upgrading, selling tickets, other event admittance means, goods and/or services.
Stylli Chari ; Beckey Samuel S. ; Shumate Christopher Bentley ; Coassin Peter J., Systems and methods for rapidly identifying useful chemicals in liquid samples.
Barry David W. ; Underwood Carolyn S. ; McCreedy Bruce J. ; Hadden David D. ; Lucas Jason L., Systems, methods and computer program products for guiding the selection of therapeutic treatment regimens.
Surwit Richard S. ; Allen ; III Lyle M. ; Cummings Sandra E., Systems, methods and computer program products for monitoring, diagnosing and treating medical conditions of remotely located patients.
Surwit, Richard S.; Allen, III, Lyle M.; Cummings, Sandra E., Systems, methods and computer program products for monitoring, diagnosing and treating medical conditions of remotely located patients undergoing anticoagulation therapy.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.