System and method for multi-dimensional profiling of healthcare professionals
View Patent ↗The disclosure generally describes computer-implemented methods, software, and systems for ranking healthcare professionals, including: receiving healthcare information submitted by a user; launching search delegators to search respective channels of social media based on the healthcare information; receiving meta search records from the search delegators; scoring the meta search records based on the healthcare information as well as the channel of social media where the meta search record was found; filtering the meta search records based on the corresponding scores; and providing the filtered meta search records to the user.
1. A computer-implemented method for ranking healthcare professionals, comprising:
receiving, by a search engine, healthcare information submitted by a user;
launching, by the search engine, search delegators to search respective channels of social media based on the healthcare information;
receiving, by the search engine, meta search records from the search delegators;
scoring, by the search engine, the meta search records based on the healthcare information as well as the channel of social media where the meta search record was found by ranking the meta search records according to (i) a match index indicating a degree of relatedness between each search record and the submitted healthcare information, and (ii) an authoritative index indicating an authority level of the channel of social media where the particular search record was found by the corresponding search delegator; and
filtering, by the search engine, the meta search records based on the corresponding scores such that the filtered meta search records are automatically provided to the user based on the corresponding scores.
2. The method of claim 1 , wherein ranking the meta search records according to the match index further comprises: semantic processing of the meta search records by: (i) tokenizing the particular meta search records into tokens; (ii) scoring each token based on the match index; and (iii) aggregating scores of the tokens for the particular meta search record.
3. The method of claim 2 , wherein the semantic processing comprises: applying an ontology to analyze the meta search records.
4. The method of claim 3 , wherein the semantic processing further comprises: revising the ontology based on the analyzed meta search records, the revised ontology providing an improved aggregated score for the analyzed meta search records.
5. The method of claim 1 , wherein filtering further comprises: removing meta records with corresponding scores under a cut-off threshold.
6. The method of claim 1 , further comprising:
providing an interface to the user for the user to classify contents of the filtered meta data records as positive, negative or neutral.
7. The method of claim 1 , wherein receiving healthcare information comprises: receiving information capable of identifying a healthcare provider.
8. The method of claim 7 , wherein receiving healthcare information comprises: receiving information identifying a specialty of healthcare providers.
9. The method of claim 7 , wherein scoring the meta search records comprises categorizing the meta search records into a first category of data generated by the healthcare provider and a second category of data generated by others mentioning the healthcare provider.
10. The method of claim 9 , wherein scoring the meta search records further comprises: identifying a professional interest of the healthcare provider based on the first category of data.
11. The method of claim 10 , wherein scoring the meta search records comprises analyzing the second category of data to determine whether the first category of data is correlated with the second category of data.
12. The method of claim 11 , further comprising:
in response to determining that the first category of data is correlated with the second category of data, establishing a digital profile of the healthcare provider based on (i) the identified professional interest of the healthcare provider; and (ii) the first category of data of the healthcare provider correlated with the second category of data of the healthcare provider; and
integrating the digital profile into a database for the user that includes digital profiles of more than one healthcare providers.
13. The method of claim 10 , wherein scoring the meta search records comprises analyzing the second category of data to determine an influence of the healthcare provider.
14. The method of claim 13 , further comprising:
establishing a digital profile of the healthcare provider based on (i) the identified professional interest of the healthcare provider; and (ii) the influence of the healthcare provide as determined by analyzing the second category of data of the healthcare provider; and
integrating the digital profile into a database for the user that includes digital profiles of more than one healthcare providers.
15. The method of claim 7 , wherein scoring the meta search records further comprises:
determining whether a particular meta search record is corroborated by data from non-social media regarding the healthcare provider.
16. The method of claim 15 , wherein scoring the meta search records further comprises:
in response to determining that the particular meta search record is corroborated by data from non-social media, increasing the score of the particular meta search record.
17. The method of claim 16 , wherein scoring the meta search records further comprises:
in response to determining that the particular search record is not corroborated by data from non-social media, attenuating the score for the particular search record.
18. A computer system, comprising at least one processor, wherein the at least one processor is configured to perform the operations of:
receiving healthcare information submitted by a user;
launching search delegators to search respective channels of social media in response to the healthcare information;
receiving meta search records from the search delegators;
scoring the meta search records based on the healthcare information as well as the channel of social media where the meta search record was found by ranking the meta search records according to (i) a match index indicating a degree of relatedness between each search record and the submitted healthcare information, and (ii) an authoritative index indicating an authority level of the channel of social media where the particular search record was found by the corresponding search delegator; and
filtering the meta search records based on the corresponding scores such that the filtered meta search records are automatically provided to the user based on the corresponding scores.
19. A computer-readable medium comprising software instructions that, when executed by a computer, causes the computer to perform the operations of:
receiving healthcare information submitted by a user;
launching search delegators to search respective channels of social media in response to the healthcare information;
receiving meta search records from the search delegators;
scoring the meta search records based on the healthcare information as well as the channel of social media where the meta search record was found by ranking the meta search records according to (i) a match index indicating a degree of relatedness between each search record and the submitted healthcare information, and (ii) an authoritative index indicating an authority level of the channel of social media where the particular search record was found by the corresponding search delegator; and
filtering the meta search records based on the corresponding scores such that the filtered meta search records are automatically provided to the user based on the corresponding scores.