Disease management system and method including significant symptom filtering
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
A61B-005/00
G06F-019/00
출원번호
US-0930792
(2007-10-31)
등록번호
US-8727979
(2014-05-20)
발명자
/ 주소
Iliff, Edwin C.
출원인 / 주소
Clinical Decision Support, LLC
대리인 / 주소
Suiter Swantz pc llo
인용정보
피인용 횟수 :
0인용 특허 :
224
초록▼
A system and method for allowing a patient to access an automated process for managing a specified health problem called a disease. The system performs disease management in a fully automated manner, using periodic interactive dialogs with the patient to obtain health state measurements from the pat
A system and method for allowing a patient to access an automated process for managing a specified health problem called a disease. The system performs disease management in a fully automated manner, using periodic interactive dialogs with the patient to obtain health state measurements from the patient, to evaluate and assess the progress of the patient's disease, to review and adjust therapy to optimal levels, and to give the patient medical advice for administering treatment and handling symptom flare-ups and acute episodes of the disease. The medical records are updated, the progression of the disease is stored and tracked, and the patient's preferences for treatment are stored and then used to offer medical advice based on the current state of the disease. A prestored general disease trend curve is compared against a patient specific disease trend curve, and the system makes an automated response such as adjusting therapy.
대표청구항▼
1. A computerized method for determining if a patient has a severe symptom requiring automated notification and intervention by a human healthcare provider while performing a health assessment for a disease being managed, the method comprising: receiving, at a computing device, information related t
1. A computerized method for determining if a patient has a severe symptom requiring automated notification and intervention by a human healthcare provider while performing a health assessment for a disease being managed, the method comprising: receiving, at a computing device, information related to a significant symptom from a patient via a direct interactive dialogue between a patient and the computing device, the direct interactive dialogue including a patient input of at least one of: a patient-measured objective measurement and a subjective severity of the significant symptom;storing the information related to the significant symptom in a data storage;determining, via the computing device, whether the significant symptom is related to at least one of: a disease being managed and a side effect of treatment for the patient;establishing, via the computing device, a severity of the significant symptom based on answers received from the patient to one or more symptom severity questions;adjusting, via the computing device, the subjective severity of the significant symptom based on a sensitivity factor set, the sensitivity factor set a level of a patient sensitivity, the sensitivity factor set further based on the patient sensitivity;offering, via the computing device, medical advice to the patient regarding at least one of administering treatment or handling symptom flare-ups, the medical advice to the patient based on the adjusted subjective severity, the patient-measured objective measurement, and the information related to a significant symptom; andoutputting, via the computing device, the established severity of the significant symptom to a human healthcare provider if the established severity exceeds a threshold, the threshold dynamically modified by the sensitivity factor set. 2. The method of claim 1, wherein the established severity of the significant symptom is classified as severe if the threshold is exceeded or is classified as mild if the threshold is not exceeded. 3. The method of claim 1, further comprising storing the established severity of the significant symptom into an electronic medical record. 4. The method of claim 1, wherein the determination whether the significant symptom is related to the disease being managed comprises comparing the significant symptom to a symptoms table comprising symptoms related to the disease being managed. 5. The method of claim 1, wherein the determination whether the significant symptom is a side effect of treatment comprises comparing the significant symptom to a side effects table comprising side effects related to a current therapy for the patient. 6. The method of claim 1, wherein establishing the severity of the significant symptom comprises at least one of obtaining a severity number via direct interactive dialogue between the patient and the computing device and comparing the severity number with a scale of numbers from a symptom database corresponding to the significant symptom's severity. 7. The method of claim 6, further comprising normalizing the patient's severity number into a normalized number to fit into the scale of numbers. 8. The method of claim 7, further comprising using a sensitivity factor set to adjust the normalized number. 9. The method of claim 8, wherein the lowest setting of the sensitivity factor set results in classifying all significant symptoms as mild. 10. The method of claim 1, further comprising continuing a health assessment of the patient if the patient does not have a significant symptom or if the established severity of the significant symptom does not exceed the threshold. 11. A computerized system for managing a disease including a significant symptom filter module, the system comprising: a computing device; anda computer program operating on the computing device, the computer program having a significant symptom filter module configured to: receive an input related to a symptom from a patient via a direct interactive dialogue between the patient and the computing device, the direct interactive dialogue including a patient input of at least one of: a patient-measured objective measurement and a subjective severity of the significant symptom;determine if a patient has one or more significant symptoms at least in part from said input;determine whether the one or more significant symptoms are related to a disease being managed for the patient,determine the severity of the significant symptoms;adjust, via the computing device, the subjective severity of the significant symptom based on a sensitivity factor set, the sensitivity factor set a level of a patient sensitivity, the sensitivity factor set further based on the patient sensitivity;offer, via the computing device, medical advice to the patient regarding at least one of administering treatment or handling symptom flare-ups, the medical advice to the patient based on the adjusted subjective severity, the patient-measured objective measurement, and the information related to a significant symptom; andoutput the severity of the patient's symptom to a healthcare provider if the severity exceeds a threshold, the threshold dynamically modified by the sensitivity factor set. 12. The system of claim 11, wherein the determination if a patient has one or more significant symptoms comprises asking the patient whether any significant symptoms are currently being experienced. 13. The system of claim 11, wherein the determination whether the one or more significant symptoms are related to a disease being managed comprises one of: looking up the significant symptoms in a symptoms table comprising symptoms related to the disease being managed and looking up the significant symptoms in a side effects table comprising side effects related to a therapy prescribed for the patient for the disease being managed. 14. The system of claim 11, wherein the determination of the severity of the significant symptoms comprises asking the patient to quantize the severity of the significant symptom. 15. The system of claim 14, further comprising using the patient's quantization to classify the symptom as mild or severe. 16. The system of claim 11, wherein the significant symptom filter module is additionally configured to determine if the patient should be referred to a human medical provider. 17. A computer readable medium storing computer readable program code embodied therein for filtering patients with severe symptoms, the computer readable code comprising instructions which when executed by a processor perform the method of: receiving an input from the patient via a direct interactive dialogue between the patient and a computing device, the direct interactive dialogue including a patient input of at least one of: a patient-measured objective measurement and a subjective severity of the significant symptom;storing symptoms of a patient into a data storage;classifying the patient's symptoms into a severity ranking;adjusting, via the computer readable medium, the subjective severity of the significant symptom based on a sensitivity factor set, the sensitivity factor set a level of a patient sensitivity, the sensitivity factor set further based on the patient sensitivity;offering, via the computing device, medical advice to the patient regarding at least one of administering treatment or handling symptom flare-ups, the medical advice to the patient based on the adjusted subjective severity, the patient-measured objective measurement, and the information related to a significant symptom; andoutputting the severity ranking of the patient's symptoms to a healthcare provider when the severity ranking exceeds a threshold, the threshold dynamically modified by the sensitivity factor set. 18. The computer readable medium of claim 17, wherein the outputting comprises sending the severity ranking to an electronic medical record stored in a data storage. 19. The computer readable medium of claim 17, further comprising referring the patient to a healthcare provider for adjusting medical treatment. 20. The computer readable medium of claim 17, wherein the computer readable code additionally comprises instructions for classifying the symptom as severe when the threshold is exceeded. 21. The computer readable medium of claim 17, wherein classifying the symptoms into the severity ranking comprises obtaining a severity ranking from the patient that describes the severity of the symptom, normalizing the patient's severity ranking using a symptom database scale, and classifying the severity ranking using a sensitivity factor set that controls which severity rankings are classified as severe. 22. A computerized method for assessing health that identifies patients with a severe symptom, the method comprising: receiving a symptom input from the patient via a direct interactive dialogue between the patient and a computing device, the direct interactive dialogue including a patient input of at least one of: a patient-measured objective measurement and a subjective severity of the significant symptom;storing into a data storage a patient's symptoms related to a disease being managed during a disease management session;receiving a side effect input from the patient via a direct interactive dialogue between the patient and the computing device;storing into a data storage a patient's side effects to a therapy of the patient with the managed disease;establishing, via the computing device, a severity of the significant symptom based on the interactive dialogue;adjusting, via the computing device, the subjective severity of the significant symptom based on a sensitivity factor set, the sensitivity factor set a level of a patient sensitivity, the sensitivity factor set further based on the patient sensitivity;comparing the patient's symptoms and side effects to one or more tables related to the patient's disease and therapy;offering, via the computing device, medical advice to the patient regarding at least one of administering treatment or handling symptom flare-ups, the medical advice to the patient based on the adjusted subjective severity, the patient-measured objective measurement, and the information related to a significant symptom; andreferring the patient to a healthcare provider when the adjusted severity of the significant symptom input reaches a threshold, the threshold dynamically modified by the sensitivity factor set. 23. The method of claim 22, wherein the dynamically modified threshold is set at a severe classification, wherein the classification as severe comprises a patient's rating of a severity of the symptom, a normalization of the patient's rating using a symptom's severity scale, and an adjustment of the patient's rating using the sensitivity factor set. 24. A computerized significant symptom filtering method, comprising: receiving a symptom input from a patient via a direct interactive dialogue between the patient and a computing device, the direct interactive dialogue including a patient input of at least one of: a patient-measured objective measurement and a subjective severity of the significant symptom;identifying as being significant, via a computing device, the symptom input received from a particular patient having a particular disease;determining, via the computing device, the severity of the significant symptom obtained from the particular patient having a particular disease;adjusting, via the computing device, the subjective severity of the significant symptom based on a sensitivity factor set, the sensitivity factor set a level of a patient sensitivity, the sensitivity factor set further based on the patient sensitivity;assessing, via the computing device, the health of the patient if the severity of the significant symptom is sufficiently low;offering, via the computing device, medical advice to the patient regarding at least one of administering treatment or handling symptom flare-ups, the medical advice to the patient based on the adjusted subjective severity, the patient-measured objective measurement, and the information related to a significant symptom; andoutputting, via the computing device, a predetermined action if the severity reaches a threshold, the threshold dynamically modified by the sensitivity factor set. 25. The method of claim 24, wherein the predetermined action comprises one of: a referral to a physician and a transfer to a diagnostic process.
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