Physician quality scoring
Aspects of the present invention relate to system and methods for assigning quality scores to one or more caregivers, such as physicians. In embodiments, a ranking or score may be based, at least in part, upon a combination of quality scores from one or more stages in a physician's academic training and clinic practice and based, at least in part, upon the quality of peers of that physician at various stages in the career progression of the physician. This information may be used to help a potential patient identify a physician for their care.
1. The quality scoring system comprising:
a memory;
one or more processors configured to cause the quality scoring system to:
obtain, from one or more data sources, one or more data sets associated with a plurality of individuals;
determine a first set of training values of a plurality of training values associated with an individual of the plurality of individuals, wherein the first set of training values are based on a seed value related to the individual's training and are iteratively determined using a series of correlation factors based on a plurality of training values that are prior iterations of the first set of training values and a condition evaluated on the series of correlation factors, wherein determination of first set of training values of the individual comprises:
determining each correlation factor of the series of correlation factors using first and second coefficients that are each associated with a plurality of different types of training values; and
applying the series of correlation factors to training values of the plurality of individuals;
determine a practice location value associated with the individual based on practice-location attributes of at least some of the plurality of individuals; and
determine a quality score of the individual using the practice location value and the first set of training values.
2. The quality scoring system of claim 1 , wherein the first coefficient is determined using a first type of training value and a second type of training value.
3. The quality scoring system of claim 2 , wherein the second coefficient is determined using the second type of training value and a third type of training value.
4. The quality scoring system of claim 1 , wherein the first set of training values are determined based on a modification of the first and second coefficients.
5. The quality scoring system of claim 1 , wherein the first and second coefficients are averaged to determine final coefficients that are used to determine the first set of training values.
6. The quality scoring system of claim 1 , wherein the condition evaluated on the series of correlation factors is difference between a present correlation factor of the series of correlation factors and a prior correlation factor of the series of correlation factors is below a threshold.
7. The quality scoring system of claim 1 , wherein the condition evaluated on the series of correlation factors is whether a present correlation factor of the series of correlation factors is less than a prior correlation factor of the series of correlation factors.
8. The quality scoring system of claim 1 , wherein the condition evaluated on the series of correlation factors is completion of a predetermined number of iterations.
9. The quality scoring system of claim 1 , wherein the training values include a first type of training value, a second type of training value, and third type of training value;
wherein the first type of training value is determined using attributes of the at least some of the plurality of individuals and a second type of training value,
the second type of training value is determined using attributes of the at least some of the plurality of individuals and the first type of training value and a third type of training value, and
the third type of training value is determined using attributes of the at least some of the plurality of individuals and the second type of training value and the practice location value.
10. The quality scoring system of claim 9 , wherein the first type of training value is a medical school score, the second type of training value is a residency program score, and the third type of training value is a fellowship program score.
11. The quality scoring system of claim 1 , wherein the set of instructions that is executable by the computing device to cause the computing device to perform:
displaying, to a user, information based on the determined quality score of the individual.
12. The quality scoring system of claim 11 , wherein the displayed information is based on a request for information about the individual.
13. A method performed by a quality scoring system for calculating quality score of an individual, the method comprising:
obtaining, from one or more data sources, one or more data sets associated with a plurality of individuals;
determining a first set of training values of a plurality of training values associated with an individual of the plurality of individuals, wherein the first set of training values are based on a seed value related to the individual's training and are iteratively determined using a series of correlation factors based on a plurality of training values that are prior iterations of the first set of training values and a condition evaluated on the series of correlation factors, wherein determination of first set of training values of the individual comprises:
determining each correlation factor of the series of correlation factors using first and second coefficients that are each associated with a plurality of different types of training values; and
applying the series of correlation factors to training values of the plurality of individuals;
determining a practice location value associated with the individual based on practice- location attributes of at least some of the plurality of individuals; and
determining a quality score of the individual using the practice location value and the first set of training values.
14. The method of claim 13 , wherein the first coefficient is determined using a first type of training value and a second type of training value.
15. The method of claim 14 , wherein the second coefficient is determined using the second type of training value and a third type of training value.
16. The method of claim 13 , wherein the first set of training values are determined based on a modification of the first and second coefficients.
17. The method of claim 13 , wherein the condition evaluated on the series of correlation factors is difference between a present correlation factor of the series of correlation factors and a prior correlation factor of the series of correlation factors is below a threshold.
18. The method of claim 13 , wherein the condition evaluated on the series of correlation factors is whether a present correlation factor of the series of correlation factors is less than a prior correlation factor of the series of correlation factors.
19. The method of claim 13 , wherein the training values include a first type of training value, a second type of training value, and third type of training value;
wherein the first type of training value is determined using attributes of the at least some of the plurality of individuals and a second type of training value,
the second type of training value is determined using attributes of the at least some of the plurality of individuals and the first type of training value and a third type of training value, and
the third type of training value is determined using attributes of the at least some of the plurality of individuals and the second type of training value and the practice location value.
20. The method of claim 13 , wherein the set of instructions that is executable by the computing device to cause the computing device to perform:
displaying, to a user, information based on the determined quality score of the individual.