Preventive care engine

Abstract

A preventative care recommendation engine to provide a preventative care recommendation corresponding to a patient is disclosed. Processor(s) may be coupled to network interface(s) accessible by healthcare provider(s) and/or patient(s), to execute instructions to access a set of confidential health information for an identified patient, where the set is derived from a first data source, and includes an indication of a health condition of the identified patient, a healthcare service provided to the identified patient, and/or a time when the health care service was provided to the identified patient. A second data source that includes a set of criteria specified by a third party indicating a preventative care service may be accessed. A recommendation corresponding to the identified patient may be sent, wherein the recommendation is a function of the set of confidential health information for the identified patient and the set of criteria.

1 . (canceled) 
     
     
         2 . A preventative care engine to handle preventative care recommendations corresponding to patients, the preventative care engine comprising:
 one or more network interfaces accessible by one or more of a healthcare provider and/or a patient;   one or more processors, coupled to the one or more network interfaces, to execute instructions to:
 access a first data source, via a first server, that includes information about a recommendation issued by an authority, the recommendation relating to preventive care; 
 recognize, based at least in part on the information about the recommendation, a change in the recommendation with respect to one or more previous recommendations relating to preventive care; 
 identify a set of one or more consequences of the change in the recommendation, the set of one or more consequences relating to one or more preventive care services; 
 access a set of confidential health information for one or more identified patients, wherein the set of confidential health information for the one or more identified patients is derived from a second data source via a second server; 
 correlate data regarding the set of one or more consequences of the change to the set of confidential health information for the one or more identified patients; 
 identify a first patient of the one or more identified patients that is affected by the change, wherein the identifying is based at least in part on the correlating and indicia of one or more of:
 one or more health conditions of the first patient; 
 one or more past services provided to the first patient; 
 one or more times corresponding to the one or more past services provided to the first patient; and/or 
 one or more past recommendations pertaining to the first patient; and 
 
 send a notification corresponding to the first patient, the notification indicating one or more effects of the change on the first patient; and 
   one or more storage media coupled to the one or more processors to retain the instructions.   
     
     
         3 . The preventative care engine of  claim 2 , wherein the identifying the set of one or more consequences of the change in the recommendation comprises:
 determining a type of patient affected by the change and/or a third-party payer affected by the change;   wherein the first patient is identified based at least in part on correlation with the types of patient and/or the third-party payer.   
     
     
         4 . The preventative care engine of  claim 2 , wherein the one or more processors are to further execute instructions to:
 correct the one or more past recommendations pertaining to the first patient based at least in part on comparison with the data regarding the set of one or more consequences of the change.   
     
     
         5 . The preventative care engine of  claim 2 , wherein the one or more processors are to further execute instructions to:
 access stored preferences for the first patient;   wherein the notification is directed to the first patient at least partially based on the stored preferences for the first patient.   
     
     
         6 . The preventative care engine of  claim 2 , wherein the one or more processors are to further execute instructions to:
 access stored preferences for a healthcare provider associated with the first patient;   wherein the notification is directed to the healthcare provider at least partially based on the stored preferences for the healthcare provider.   
     
     
         7 . The preventative care engine of  claim 2 , wherein the one or more processors are to further execute instructions to:
 determine whether the one or more past services provided to the first patient correspond to the one or more preventive care services relating to the change in the recommendation.   
     
     
         8 . The preventative care engine of  claim 2 , wherein the identifying the first patient is based at least in part on:
 comparing confidential health information for the first patient to one or more thresholds resulting from the change, the one or more threshholds corresponding to patient criteria.   
     
     
         9 . The preventative care engine of  claim 8 , wherein the one or more threshholds comprise an age threshold and/or a frequency threshold. 
     
     
         10 . A method to handle preventative care recommendations corresponding to patients, the method comprising:
 accessing, by a computer system, a first data source, via a first server, which first data source includes information about a recommendation issued by an authority, the recommendation relating to preventive care;   recognizing, by the computer system and based at least in part on the information about the recommendation, a change in the recommendation with respect to one or more previous recommendations relating to preventive care;   identifying, by the computer system, a set of one or more consequences of the change in the recommendation, the set of one or more consequences relating to one or more preventive care services;   accessing, by the computer system, a set of confidential health information for one or more identified patients, wherein the set of confidential health information for the one or more identified patients is derived from a second data source via a second server;   correlating, by the computer system, data regarding the set of one or more consequences of the change to the set of confidential health information for the one or more identified patients;   identifying, by the computer system, a first patient of the one or more identified patients that is affected by the change, wherein the identifying is based at least in part on the correlating and indicia of one or more of:
 one or more health conditions of the first patient; 
 one or more past services provided to the first patient; 
 one or more times corresponding to the one or more past services provided to the first patient; and/or 
 one or more past recommendations pertaining to the first patient; and 
   sending, by the computer system, a notification corresponding to the first patient, the notification indicating one or more effects of the change on the first patient.   
     
     
         11 . The method to handle preventative care recommendations corresponding to patients of  claim 10 , wherein the identifying the set of one or more consequences of the change in the recommendation comprises:
 determining, by the computer system, a type of patient affected by the change and/or a third-party payer affected by the change;   wherein the first patient is identified based at least in part on correlation with the types of patient and/or the third-party payer.   
     
     
         12 . The method to handle preventative care recommendations corresponding to patients of  claim 10 , further comprising:
 correcting, by the computer system, the one or more past recommendations pertaining to the first patient based at least in part on comparison with the data regarding the set of one or more consequences of the change.   
     
     
         13 . The method to handle preventative care recommendations corresponding to patients of  claim 10 , further comprising:
 accessing, by the computer system, stored preferences for the first patient;   wherein the notification is directed to the first patient at least partially based on the stored preferences for the first patient.   
     
     
         14 . The method to handle preventative care recommendations corresponding to patients of  claim 10 , further comprising:
 accessing, by the computer system, stored preferences for a healthcare provider associated with the first patient;   wherein the notification is directed to the healthcare provider at least partially based on the stored preferences for the healthcare provider.   
     
     
         15 . The method to handle preventative care recommendations corresponding to patients of  claim 10 , further comprising:
 determining, by the computer system, whether the one or more past services provided to the first patient correspond to the one or more preventive care services relating to the change in the recommendation.   
     
     
         16 . The method to handle preventative care recommendations corresponding to patients of  claim 10 , wherein the identifying the first patient is based at least in part on:
 comparing confidential health information for the first patient to one or more thresholds resulting from the change, the one or more threshholds corresponding to patient criteria.   
     
     
         17 . The method to handle preventative care recommendations corresponding to patients of  claim 16 , wherein the one or more threshholds comprise an age threshold and/or a frequency threshold. 
     
     
         18 . One or more non-transitory machine-readable media having machine-readable instructions thereon which, when executed by one or more computers or other processing devices, cause the one or more computers or other processing devices to:
 access a first data source, via a first server, that includes information about a recommendation issued by an authority, the recommendation relating to preventive care;   recognize, based at least in part on the information about the recommendation, a change in the recommendation with respect to one or more previous recommendations relating to preventive care;   identify a set of one or more consequences of the change in the recommendation, the set of one or more consequences relating to one or more preventive care services;   access a set of confidential health information for one or more identified patients, wherein the set of confidential health information for the one or more identified patients is derived from a second data source via a second server;   correlate data regarding the set of one or more consequences of the change to the set of confidential health information for the one or more identified patients;   identify a first patient of the one or more identified patients that is affected by the change, wherein the identifying is based at least in part on the correlating and indicia of one or more of:
 one or more health conditions of the first patient; 
 one or more past services provided to the first patient; 
 one or more times corresponding to the one or more past services provided to the first patient; and/or 
 one or more past recommendations pertaining to the first patient; and 
 send a notification corresponding to the first patient, the notification indicating one or more effects of the change on the first patient. 
   
     
     
         19 . The one or more non-transitory machine-readable media of  claim 18 , wherein the identifying the set of one or more consequences of the change in the recommendation comprises:
 determining a type of patient affected by the change and/or a third-party payer affected by the change;   wherein the first patient is identified based at least in part on correlation with the types of patient and/or the third-party payer.   
     
     
         20 . The one or more non-transitory machine-readable media of  claim 18 , wherein the instructions, when executed by the one or more computers or other processing devices, further cause the one or more computers or other processing devices to:
 correct the one or more past recommendations pertaining to the first patient based at least in part on comparison with the data regarding the set of one or more consequences of the change.   
     
     
         21 . The one or more non-transitory machine-readable media of  claim 18 , wherein the instructions, when executed by the one or more computers or other processing devices, further cause the one or more computers or other processing devices to:
 determine whether the one or more past services provided to the first patient correspond to the one or more preventive care services relating to the change in the recommendation.