Abstract: A method for analyzing speech generated during a call to generate a potential referral and automatically modifying, during the call, a user interface displaying data associated with the analyzed speech, includes analyzing, by an analysis engine, during a call by a patient to a call center operator, data generated during the call, the data received from a second computing device. The method includes identifying patient data associated with the patient. The method includes determining at least one requirement of the patient based upon the identified patient data and the analysis. The method includes generating a potential referral to a physician for the patient, the physician having a profile that satisfies the determined at least one requirement. The method includes modifying a user interface displayed to the call center, during the call, the modification to the display including addition of an identification of the potential referral.

Abstract: A method for analyzing speech generated during a call to generate a potential referral and automatically modifying, during the call, a user interface displaying data associated with the analyzed speech, includes analyzing, by an analysis engine, during a call by a patient to a call center operator, data generated during the call, the data received from a second computing device. The method includes identifying patient data associated with the patient. The method includes determining at least one requirement of the patient based upon the identified patient data and the analysis. The method includes generating a potential referral to a physician for the patient, the physician having a profile that satisfies the determined at least one requirement. The method includes modifying a user interface displayed to the call center, during the call, the modification to the display including addition of an identification of the potential referral.

Abstract: A method for providing a performance improvement recommendation to a professional includes automatically generating, by a profile generator executing on a first computing device, a profile of a professional. The method includes automatically analyzing, by an analysis engine executing on the first computing device, the generated profile. The method includes generating, by the analysis engine, responsive to the analysis, a performance metric for the professional. The method includes comparing the generated performance metric with a second performance metric generated for a second professional. The method includes transmitting, by the analysis engine, to a second computing device associated with the professional, a recommendation for improving the performance metric based upon a result of the comparison.

Abstract: A method for profiling entities or individuals includes automatically generating, by a profile generator executing on a first computing device, a profile of at least one of a professional and an entity. The method includes automatically analyzing, by an analysis engine executing on the first computing device, the generated profile. The method includes determining, by the analysis engine, responsive to the analysis, at least one of a level of expertise and a level of influence in an industry of the at least one of the professional and the entity. The method includes transmitting, by the analysis engine, to a second computing device, an identification of the determined level of expertise. In one embodiment, the method includes generating, by a prediction engine executing on the first computing device a prediction of a future modification to the profile.

Abstract: A method for matching a professional with a referral opportunity includes automatically generating, by a profile generator executing on a first computing device, a profile of a professional. The method includes receiving, by an analysis engine executing on the first computing device, from a second computing device, an identification of a referral opportunity having at least one requirement. The method includes determining, by the analysis engine, that the generated profile satisfies the at least one requirement. The method includes transmitting, by the analysis engine, to the second computing device, the identification of the professional. The method includes receiving, by the first computing device, an indication that a user of the second computing device made a referral to the professional. The method includes scheduling, by a workflow engine executing on the first computing device, an appointment with the professional for a subject of the referral opportunity.

Abstract: A method for optimizing patient allocation includes determining, by an analysis engine executing on a computing device, for a type of procedure, a total number of procedures performed by a plurality of physicians. The analysis engine determines a percentage of the total number of procedures performed by each of the plurality of physicians. The analysis engine determines whether the determined percentage for a first physician is lower than a threshold. The analysis engine determines whether the determined percentage for a second physician is lower than the threshold. An allocation engine executing on the computing device transitions responsibility for at least one procedure performed by the first physician to the second physician, responsive to a determination that the determined percentage for the first physician is lower than the threshold and that the determined percentage for the second physician is higher than the threshold.

Abstract: A method for providing a performance improvement recommendation to a professional includes automatically generating, by a profile generator executing on a first computing device, a profile of a professional. The method includes automatically analyzing, by an analysis engine executing on the first computing device, the generated profile. The method includes generating, by the analysis engine, responsive to the analysis, a performance metric for the professional. The method includes comparing the generated performance metric with a second performance metric generated for a second professional. The method includes transmitting, by the analysis engine, to a second computing device associated with the professional, a recommendation for improving the performance metric based upon a result of the comparison.

Abstract: A method for matching a professional with a referral opportunity includes automatically generating, by a profile generator executing on a first computing device, a profile of a professional. The method includes receiving, by an analysis engine executing on the first computing device, from a second computing device, an identification of a referral opportunity having at least one requirement. The method includes determining, by the analysis engine, that the generated profile satisfies the at least one requirement. The method includes transmitting, by the analysis engine, to the second computing device, the identification of the professional.