Obtaining patient survey results

1. A computer-implemented method for modifying a patient adherence score, comprising:

obtaining patient profiles from one or more computer-readable storage devices for a patient population, wherein each patient profile from among the obtained patient profiles includes multiple attribute values for multiple attributes for a patient from the patient population who is associated with the patient profile;

for each patient profile of the obtained patient profiles, determining, by a computer system, an associated behavior prediction score based on the multiple attribute values, wherein the associated behavior prediction score is a predictor of a relative likelihood of a behavior for a patient from the patient population who is associated with the patient profile;

accessing, from among the determined behavior prediction scores, a behavior prediction score for a patient from the patient population who did not complete a health risk assessment;

identifying, by the computer system from the patient population, multiple patients who did respond to the health risk assessment and have behavior prediction scores that correspond to the behavior prediction score for the patient who did not complete the health risk assessment;

obtaining, by the computer system, health risk assessment scores for the multiple patients based on the respective health risk assessments completed by the multiple patients, the health risk assessment scores indicating risks being assessed by the health risk assessment;

determining, by the computer system, a health risk assessment score for the patient who did not complete the health risk assessment by combining the health risk assessment scores of at least some of the multiple patients; and

making the determined health risk assessment score available for further processing and output.

2. The computer implemented method of claim 1 , wherein the combining comprises averaging the health risk assessment scores for the multiple patients.

3. The computer implemented method of claim 1 , further comprising:

repeating the accessing the behavior prediction score, the determining the health risk assessment score, and the making available the determined health risk assessment score for multiple other patients who did not complete the health risk assessment;

ranking, by the computer system, the patients who did not complete the health risk assessment based on the determined health risk assessment scores; and

determining a subset of the multiple patients who did not complete the health risk assessment to receive an intervention based on the ranking.

4. The computer implemented method of claim 1 , further comprising:

identifying, by the computer system, a group of patients from among the multiple patients, wherein patients in the identified group have attribute values that correspond to attribute values for the patient who did not complete the health risk assessment, and

wherein said determining the health risk assessment score for the patient who did not complete the health risk assessment is performed by combining the health risk assessment scores of patients in the identified group.

5. The computer implemented method of claim 1 , wherein

the relative likelihood of the behavior comprises a likelihood to adhere to a prescribed treatment, and

the behavior prediction score comprises an adherence score that indicates a likelihood of adherence of the patient to a prescribed treatment.

6. The computer implemented method of claim 5 , further comprising modifying, by the computer system, the adherence score into a modified score for a particular application based on a set of weights for weighting the multiple patient attribute values in the patient profile.

7. The computer implemented method of claim 6 , wherein

the multiple attributes comprise a first attribute having a first value and a second attribute having a second value, the first attribute indicative of the risk being assessed based on the value of the second attribute; and

the modifying the adherence score comprises determining a modifier for adjusting the adherence score by applying a weight to the first value, the weight a function of the second value.

8. A non-transitory computer-readable storage medium storing instructions, which, when executed by a processor, causes the processor to perform operations comprising:

obtaining patient profiles from one or more computer-readable storage devices for a patient population, wherein each patient profile from among the obtained patient profiles includes multiple attribute values for multiple attributes for a patient from the patient population who is associated with the patient profile;

for each patient profile of the obtained patient profiles, determining an associated behavior prediction score based on the multiple attribute values, wherein the associated behavior prediction score is a predictor of a relative likelihood of a behavior for a patient from the patient population who is associated with the patient profile;

accessing, from among the determined behavior prediction scores, a behavior prediction score for a patient from the patient population who did not complete a health risk assessment;

identifying, from the patient population, multiple patients who did respond to the health risk assessment and have behavior prediction scores that correspond to the behavior prediction score for the patient who did not complete the health risk assessment;

obtaining health risk assessment scores for the multiple patients based on the respective health risk assessments completed by the multiple patients, the health risk assessment scores indicating risks being assessed by the health risk assessment;

determining a health risk assessment score for the patient who did not complete the health risk assessment by combining the health risk assessment scores of at least some of the multiple patients; and

making the determined health risk assessment score available for further processing and output.

9. The non-transitory computer-readable storage medium of claim 8 , wherein the operation of combining comprises averaging the health risk assessment scores for the multiple patients.

10. The non-transitory computer-readable storage medium of claim 8 , the operations further comprising:

repeating the operations of accessing the behavior prediction score, determining the health risk assessment score, and making available the determined health risk assessment score for multiple other patients who did not complete the health risk assessment;

ranking the patients who did not complete the health risk assessment based on the determined health risk assessment scores; and

determining a subset of the multiple patients who did not complete the health risk assessment to receive an intervention based on the ranking.

11. The non-transitory computer-readable storage medium of claim 8 , the operations further comprising:

identifying a group of patients from among the multiple patients, wherein patients in the identified group have attribute values that correspond to attribute values for the patient who did not complete the health risk assessment, and

wherein the operation of determining the health risk assessment score for the patient who did not complete the health risk assessment is performed by combining the health risk assessment scores of patients in the identified group.

12. The non-transitory computer-readable storage medium of claim 8 , wherein

the relative likelihood of the behavior comprises a likelihood to adhere to a prescribed treatment, and

the behavior prediction score comprises an adherence score that indicates a likelihood of adherence of the patient to a prescribed treatment.

13. The non-transitory computer-readable storage medium of claim 12 , the operations further comprising modifying the adherence score into a modified score for a particular application based on a set of weights for weighting the multiple patient attribute values in the patient profile.

14. The non-transitory computer-readable storage medium of claim 13 , wherein

the multiple attributes comprise a first attribute having a first value and a second attribute having a second value, the first attribute indicative of the risk being assessed based on the value of the second attribute; and

the operation of modifying the adherence score comprises determining a modifier for adjusting the adherence score by applying a weight to the first value, the weight a function of the second value.

15. A system comprising:

one or more hardware processors; and

a non-transitory computer-readable medium storing instructions that, when performed by the one or more hardware processors, cause the system to perform operations comprising:

obtaining patient profiles from one or more computer-readable storage devices for a patient population, wherein each patient profile from among the obtained patient profiles includes multiple attribute values for multiple attributes for a patient from the patient population who is associated with the patient profile;

for each patient profile of the obtained patient profiles, determining an associated behavior prediction score based on the multiple attribute values, wherein the associated behavior prediction score is a predictor of a relative likelihood of a behavior for a patient from the patient population who is associated with the patient profile;

accessing, from among the determined behavior prediction scores, a behavior prediction score for a patient from the patient population who did not complete a health risk assessment;

identifying, from the patient population, multiple patients who did respond to the health risk assessment and have behavior prediction scores that correspond to the behavior prediction score for the patient who did not complete the health risk assessment;

obtaining health risk assessment scores for the multiple patients based on the respective health risk assessments completed by the multiple patients, the health risk assessment scores indicating risks being assessed by the health risk assessment;

determining a health risk assessment score for the patient who did not complete the health risk assessment by combining the health risk assessment scores of at least some of the multiple patients; and

making the determined health risk assessment score available for further processing and output.

16. The system of claim 15 , wherein the operation of combining comprises averaging the health risk assessment scores for the multiple patients.

17. The system of claim 15 , the operations further comprising:

repeating the operations of accessing the behavior prediction score determining the health risk assessment score, and making available the determined health risk assessment score for multiple other patients who did not complete the health risk assessment;

ranking the patients who did not complete the health risk assessment based on the determined health risk assessment scores; and

determining a subset of the multiple patients who did not complete the health risk assessment to receive an intervention based on the ranking.

18. The system of claim 15 , the operations further comprising:

identifying a group of patients from among the multiple patients, wherein patients in the identified group have attribute values that correspond to attribute values for the patient who did not complete the health risk assessment, and

wherein the operation of determining the health risk assessment score for the patient who did not complete the health risk assessment is performed by combining the health risk assessment scores of patients in the identified group.

19. The system of claim 15 , wherein

the relative likelihood of the behavior comprises a likelihood to adhere to a prescribed treatment, and

the behavior prediction score comprises an adherence score that indicates a likelihood of adherence of the patient to a prescribed treatment.

20. The system of claim 19 , the operations further comprising modifying the adherence score into a modified score for a particular application based on a set of weights for weighting the multiple patient attribute values in the patient profile.

21. The system of claim 20 , wherein

the multiple attributes comprise a first attribute having a first value and a second attribute having a second value, the first attribute indicative of the risk being assessed based on the value of the second attribute; and

the operation of modifying the adherence score comprises determining a modifier for adjusting the adherence score by applying a weight to the first value, the weight a function of the second value.