Clustering data regarding health care providers

A system comprising:

• one or more processors;
• and
• memory communicatively coupled to the one or more processors and storing executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• obtaining first data indicating services that have previously been provided by a plurality of health care providers;
• generating input data based at least in part on the first data;
• generating a machine learning model configured to receive the input data and generate results data representing health care provider clusters that indicate actual services previously provided by the plurality of health care providers;
• training the machine learning model to determine the health care provider clusters utilizing, as a training dataset, a medical device type associated with the services such that a trained machine learning model is generated;
• generating, utilizing the trained machine learning model, second data indicating one or more clusters of the plurality of health care providers, the one or more clusters based at least in part on types of services that have been provided and a number of times the types of services have been provided and the medical device type, generating the one or more clusters including:
• clustering a first health care provider and a second health care provider of the plurality of health care providers into a first cluster based at least in part on the first health care provider and the second health care provider each having provided a first type of service, a number of times the first health care provider provided the first type of service, and a number of times the second health care provider provided the first type of service;
• and
• clustering a third health care provider and a fourth health care provider of the plurality of health care providers into a second cluster based at least in part on the third health care provider and the fourth health care provider each having provided a second type of service, a number of times the third health care provider provided the second type of service, and a number of times the fourth health care provider provided the second type of service, the first cluster and the second cluster representing nodes in a nodal space generated via the trained machine learning model;
• determining that the first cluster is associated with a first category;
• determining that the second cluster is associated with a second category;
• tagging the first health care provider and the second health care provider with the first category and tagging the third health care provider and the fourth health care provider with the second category;
• receiving, from at least one of a device associated with a medical service or a device associated with a user, a request for data about a health care provider associated with the first category;
• determining that the first health care provider is associated with the first category;
• and
• sending, to at least one of the device associated with the medical service or the device associated with the user, information regarding the first health care provider.

One or more non-transitory computer readable media storing executable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• obtaining first data indicating services that have previously been performed by a plurality of health care providers;
• generating input data based at least in part on the first data;
• generating a machine learning model configured to receive the input data and generate results data representing health care provider clusters that indicate actual services previously provided by the plurality of health care providers;
• training the machine learning model to determine the health care provider clusters utilizing, as a training dataset, a medical device type associated with the services such that a trained machine learning model is generated;
• generating, utilizing the trained machine learning model, second data indicating one or more clusters of the plurality of health care providers, the one or more clusters based at least in part on types of services that have previously been performed by the plurality of health care providers and a number of times the types of services have previously been performed by the plurality of health care providers, the one or more clusters representing nodes in a nodal space generated via the trained machine learning model;
• categorizing a first health care provider, from among the plurality of health care providers, that is associated with a first cluster, from among the plurality of clusters;
• receiving, from at least one of a device associated with a medical service or a device associated with a user, a request for data about a health care provider;
• determining that the first health care provider satisfies the request based at least in part on the categorizing of the first health care provider;
• and
• sending, to at least one of the device associated with the medical service or the device associated with the user, information regarding the first health care provider.