Telehealth solutions for early personalization of healthcare data support via methods, communications, data networks, biometrics at point of care, services and apparatuses therefor.

Abstract

These scalable solutions concern transforming each communication network into a network to also automate personalized rapid healthcare support. They integrate biometric identification capabilities into a network entity of, or a resource communicably connectible with, a serving network by using computers to mediate biometric identification and location data. Network operators will provide always on enhanced emergency connectivity for mobility and roaming for user equipment to enable leveraging biometric identification for rapid healthcare support and to produce a unified result set, without risk of undue disclosure of raw biometric data or of selected portions of health profile information. A specially adapted serving network that manages or mediates rapid health care support is supported by a computer system having access to databases with biometric identity or health profile information to be shared as needed with authorized requesters, under confidentiality rules, privacy rules, gating policies, or other pre-defined constraints.

1 . A computer-implemented method of authentication of an individual for early-personalized care, comprising the steps of: receiving a query at a processor to authenticate said individual, from a wireless device, wherein said query comprises at least one biometric sample of said individual captured at the point of care and said wireless device irreversibly transforms said at least one biometric sample into a reference biometric; and comparing, using said processor, said recognition biometric with a reference biometric, by deploying at least one inexact mode of matching to enable accurate authentication within a predetermined tolerance, wherein said individual had registered their biometric reference template in advance in non-transient machine-readable storage that is communicably accessible. 
     
     
         2 . The computer-implemented method of  claim 1 , wherein said processor also comprises a processor receiving an automated confirmation from said wireless device that said wireless device has deleted said at least one the biometric sample. 
     
     
         3 . The computer-implemented method of  claim 1 , wherein said processor also comprises at least one of the following operations: (a) transferring the results of said authentication to said wireless device, and (b) decrypting at least a data object of at least one electronic health record of said individual by using at least said authentication. 
     
     
         4 . The computer-implemented method of  claim 1 , wherein said processor also comprises a processor mediating automatically the retrieval of an amount of electronic health record data of an individual tailored to its purpose from a plurality of health systems by using software as a service operation supported by said processor. 
     
     
         5 . The computer-implemented method of  claim 1 , that also also comprises comparing said recognition biometric with a reference biometric, by deploying at least one inexact mode of matching to enable accurate authentication within a predetermined tolerance and discovering an identifier said individual. 
     
     
         6 . The computer-implemented method of  claim 1 , wherein said processor also acquires data from said wireless device certain helper data from said individual to discover the reference biometric as template identification information that is required in the comparison result, wherein said helper data does not reveal any significant information about the reference biometric template. 
     
     
         7 . The computer-implemented method of  claim 6 , wherein said processor also comprises a processor communicates with said wireless device that also comprises a wireless device that runs an application to securely verify the identity of said individual with said processor; and said wireless device captures said at least one biometric sample from an external biometric information input unit using near-field communications, transforms said at least one biometric sample without risk of reconstruction, and requests the verification result from the processor wherein said processor using an abstraction said at least one biometric sample. 
     
     
         8 . A computerized method comprising: obtaining electronic records from a plurality of diverse systems, the plurality of diverse record systems having the electronic records of the same individual in different data formats; reconciling the electronic records obtained from the plurality of diverse systems with one another using an ontology-based model; and using a credential that includes at least one attribute that specifies a user device's authorization to access at least a portion of the reconciled electronic records. 
     
     
         9 . The computerized method of  claim 8 , wherein said credential also comprises a credential provided by a source external to each system of said diverse record systems. 
     
     
         10 . The computerized method of  claim 8 , wherein said method also comprises at least one of the following: (a) tracking the provenance and date of each data element said at least a portion of the reconcile electronic records; and (b) generating inferential knowledge based on reconciling the electronic records. 
     
     
         11 . The computerized method of  claim 8 , wherein said user device's authorization also comprises advancing operations of at least one of the following: (a) mapping said at least one attribute to a scope of computer-based service available from a network; (b) verifying that the scope of said at least a portion of the reconciled electronic records is concomitant with a stabilized set of elements relevant to emergency medical services; and (c) vetting the classes of electronic health record data of an individual so that the scope of the classes permitted are tailored to an indicated purpose compatibly with said attribute. 
     
     
         12 . The computerized method of  claim 8 , wherein said method also comprises provisioning of security for authentication of said individual within a pre-defined threshold. 
     
     
         13 . A method for providing aggregated healthcare information of an individual to a user at a plurality of user access points, the method comprising: receiving from one of the plurality of user access points, a credential for authenticating the user; authenticating the user to access individual-specific data from a plurality of healthcare datasets of said individual using the received credential, wherein at least two of said plurality of healthcare datasets are maintained by different health systems; generating a consolidated healthcare dataset from health information of said individual associated with said plurality of healthcare datasets; and providing at least a portion of the consolidated healthcare data set to the user at any point across the plurality of user access points. 
     
     
         14 . The method of  claim 13 , wherein said consolidated healthcare dataset comprises a single document generated to contain data that reflects some of content retrieved from one or more Web page of said different health systems. 
     
     
         15 . The method of  claim 13 , wherein said consolidated healthcare dataset comprises a single document generated comprising healthcare information that is aggregated from said different health systems by selecting, based on one or more extended attributes and the one or more feature extraction objects, component objects of said dataset by attribute; and aggregating the selected component objects into at least one relevant portion of said consolidated healthcare dataset. 
     
     
         16 . The method of  claim 13 , wherein said method also comprises using a processor to query disparate systems of healthcare providers using at least one Query Application Programming Interface, and said processor performs computations blindly, without decrypting and without learning the information contained within any individual-specific component objects processed. 
     
     
         17 . The method of  claim 13 , wherein said user and individual are different, and said different health systems may each identify a patient that they serve in common without any health system revealing its patient lists to any external health system. 
     
     
         18 . The method of  claim 13 , wherein the personal health data management software system configured for control by the individual as patient also executes using data transmitted from an application of the computing device of said individual. 
     
     
         19 . The method of  claim 13 , wherein said generating a consolidated healthcare dataset from health information of said individual associated with said plurality of the healthcare datasets also comprises at least one of the following: (a) verifying that each portion of dataset with electronic health record data corresponds to an identifier of said individual, wherein said identifier is the product of inexact matching, within a pre-defined threshold; and (b) managing video communication for clinician services as a telehealth supplement any structured message flow. 
     
     
         20 . The method of  claim 13 , wherein said method also comprises obtaining electronic health records on behalf of said individual from a plurality of different health systems, the plurality of diverse systems having electronic health records (EHRs) of said individual in different data formats; and reconciling said EHRs obtained from the plurality of diverse systems with one another at least to the extent of said portion of said consolidated dataset. 
     
     
         21 . The method of  claim 20 , wherein said portion of said consolidated dataset comprises electronic health record data accessed from a plurality of diverse systems within at least one of the following: (a) a pre-determined amount of time; (b) a real-time interval; and (c) within a pre-defined timeframe that varies based upon the volume of electronic health records data tailored said credential. 
     
     
         22 . The method of  claim 21 , wherein said portion of said consolidated dataset is composed by using at least one of the following: (a) Reference Information Model compatible with a processor that runs said computer-implement method to support retrieval of said electronic health record data; and (b) at least one compatible resource that supports digital retrieval of said electronic health record data. 
     
     
         23 . A method performed in a computing system, the computing system comprising one or more processors and one or more computer-readable storage devices storing computer-executable computer instructions, the method comprising: executing the instructions thereby causing the one or more processors to: access at least a portion of the data set of health information of an individual; obtain at least one data element of an in-case-of-emergency profile (ICE profile) of the individual from at least one storage device, wherein the identity of said individual is bound to an identifier associated with said data set; and share said at least one data element securely with at least one of healthcare providers of said individual, based on a pre-set and machine-readable authorization by said individual that controls access. 
     
     
         24 . The method of  claim 23 , wherein said at least a portion of the data set of an individual also is accessed using health information from at least one storage device that is a remote source over a network, and wherein said at least one data element of an in-case-of-emergency profile (ICE profile) of the individual is accessed from said at least one storage device that is a remote source. 
     
     
         25 . The method of  claim 23 , wherein said machine-readable pre-set authorization also is based on one of the following (a) the express consent of said individual; (b) the implied consent of said individual, and (c) the lawfully implied-in-fact consent of said individual. 
     
     
         26 . the method of  claim 23 , wherein said instructions also comprise executing additional instructions causing the one or more processors to trigger a system action using machine-readable navigation information to obtain the additional data elements of the ICE profile from at least one remote source over a wireless network. 
     
     
         27 . The method of  claim 23 , wherein said method also comprises executing additional instructions causing the one or more processors to: map the data elements of the ICE profile onto one or more nodes of a data graph of a hierarchical data model that specifies standardized data elements. 
     
     
         28 . The method of  claim 27 , wherein said one or more processors also perform computation using said hierarchical data model to perform at least one of the following: (a) analyze the mapped data elements of the ICE profile of the individual to identify additional data elements of said ICE profile for completing a data graph; (b) identify each data elements for said individual that may be variable over time; and request new data elements of the ICE profile and use them to update said ICE profile at runtime without scripting. 
     
     
         29 . The method of  claim 23 , wherein said instructions also comprises executing additional instructions thereby causing the one or more processors to: use said machine readable pre-set authorization to automatically tailor the amount of data shared to one of the following: (c) at least classes of data relied upon by clinicians in said dataset of the individual to the extent not specifically constrained by a rule selected in advance by said individual; (b) said ICE profile of individual with a scope compatible with the ICE response purposes; and (c) portions of the dataset of said individual to the extent consistent with a consent resource used for said individual. 
     
     
         30 . The method of  claim 23 , wherein said method comprises executing additional instruction to determine that at least two rules in a mediation model for reconciliation have different thresholds and correspond to a matching path; generating a replacement rule having a composite threshold by harmonizing the different thresholds of the at least two rules; and modifying the mediation model by replacing the at least two rules with the replacement rule. 
     
     
         31 . A method of specially adapting a network with scalable coverage by using a node of said network for query resolution using biometrics, with the operations of said node comprising: receiving a query from a wireless device and a machine-readable variable related to said query; and verifying that at least a subset of patient-specific data corresponds uniquely to a specific patient by inexact matching, within a pre-determined threshold. 
     
     
         32 . The method of  claim 31 , wherein said operations also comprise at least one of the following: (a) accessing at least one secure wireless network that facilitates the transfer of data between said at least one computer and said wireless device; and (b) sending to said wireless device at least a portion of said subset of patient-specific data said securely within a pre-determined amount of time. 
     
     
         33 . The method of  claim 31 , wherein said operations also comprise authorizing the query for said at least a subset of patient specific data using at least one of the following: (a) data associated with a caller; (b) data associated with a call, and (c) data associated with a location. 
     
     
         34 . The method of  claim 31 , wherein said operations also comprise operations that reduce (i) the level of risk of misidentification of an individual receiving pre-hospital care, below (ii) the level of risk of misidentifications of patients that received hospital care based on demographic identification. 
     
     
         35 . The method of  claim 31  wherein said operations also comprise processing said variable to enable at least one of the following: (a) sharing of information responsive to said query from at least one third-party system that is external to said at least one computer; (b) automating data exchange with at least one separate and distinct resource by using at least one application programming interface; and (c) retrieving and aggregating variable-specific information from said at least one external system. 
     
     
         36 . The method of  claim 31 , wherein said operations also comprises sharing data that at least indicates a location within a predetermined distance threshold, automatically. 
     
     
         37 . The method of  claim 31 , wherein said operations also comprise deploying wireless network security that at least ensures confidentiality of any patient-specific data transmitted to said wireless device. 
     
     
         38 . The method of  claim 31 , wherein said operations also comprise collecting at least a class of electronic health record data of said patient and exporting it to the source of said query to assist in providing remote clinical diagnostic support. 
     
     
         39 . The method of  claim 35 , wherein said at least one third-party system also comprises at least one of the following: (a) an interoperable service that exports patient-specific protected health information securely; (b) an accessible database that uses algorithms based on the health data of a large population, above a defined threshold, to predict best treatment options; and (c) a telehealth session that uses at least one patient-specific input to guide an evidence-based clinical decision. 
     
     
         40 . The method of  claim 31  wherein said operations also comprise communication operations for at least one of the following: (a) providing data communications; (b) processing video conference access information; (c) managing an audio-video call with a qualified healthcare professional; (d) transmitting an audio recording; (e) sharing synchronous voice communication; (f) exchanging remote patient monitoring data; (g) conducting a telehealth consult with a remote qualified healthcare provider and (h) interconnecting an access point in a remote location to enable remote access to a distant medical resource at the point of care. 
     
     
         41 . The method of  claim 31 , wherein said operations also comprise at least one of the following (a) verifying the identity of said patient; (b) verifying of the information binding said identity to said subset of patient-specific data; (c) collecting and exporting health information on said patient from a public health entity; (d) exchanging data to use a resource for tracing contagious disease via said node; and (e) providing patient-specific health information on vaccination status of said patient to protect health worker safety; and (v) transmitting updates from a pandemic monitoring service. 
     
     
         42 . One or more non-transient computer-readable storage having instructions stored thereon, when executed by one or more processors the instructions implement the following operations: receiving a query that was sent on behalf of a specific individual; associating at least some of individual-specific data of said query with an identifier of said specific individual; and detecting a parameter from said query that serves to authorize at least a part of the data set of said individual to enable sharing electronic health record data of said individual. 
     
     
         43 . The non-transient computer-readable storage of  claim 42 , wherein said operations also comprise executing instruction to control at least one session of at least one of the following: (a) serving network, which enables securely transferring data responsive to said query, to support personalized rapid healthcare; and (b) a wireless network wherein said one or more non-transient-readable storage also comprises a resource of a node of said wireless network which runs a network-based patient data management application that consolidates patient-specific information collected from more than zero health systems. 
     
     
         44 . The non-transient computer-readable storage of  claim 42 , wherein said operations also comprise the processing of said identifier and said parameter to share said at least a subset of the data set consistent with at least the implied prior consent of said individual. 
     
     
         45 . The non-transient computer-readable storage of  claim 42 , wherein said query also comprises at least a query with data that indicates at least one of the following: (a) the query is sent from authorized care provider who is different from said individual; (b) that the query is transmitted over at least one wireless network; (c) a condition of said individual; and (d) a data object of individual-specific data of the query has been irreversibly transformed. 
     
     
         46 . The non-transient computer-readable storage of  claim 42 , wherein said parameter comprises a parameter that automatically enables said processor to validate each data element within said at least a part of the data set based on the discernable prior consent of said individual. 
     
     
         47 . The non-transient computer-readable storage of  claim 42 , wherein said operations also comprise at least one of the following: (a) retrieving said at least a part of the data set of said individual under a shared security policy; (b) sharing electronic health record data of said individual in a response at a level of granularity compatible with said attribute; and (c) decrypting the data elements of said part of the data set securely under a delegated access mechanism, except for data elements that are blocked under a confidentiality rule. 
     
     
         48 . A method performed in a computing system, the computing system comprising at least one processor and at least one computer-readable storage device storing computer-executable computer instructions, the method comprising: executing the instructions thereby causing said at least one processor to: capture a plurality of data elements of the electronic health records of an individual from each of a plurality of source systems; normalize said plurality of data elements to aggregate a consolidated set of data elements to expedite personalized healthcare for said individual; and prioritize each data element in said plurality of data elements to summarize an in-case-of-emergency profile (ICE profile) for said individual in a pre-determined order. 
     
     
         49 . The method of  claim 48 , wherein said instructions also cause the said at least one processor to share said ICE profile in response to a request to the extent authorized by said individual at the time of said request. 
     
     
         50 . The method of  claim 48  wherein said executing the instructions thereby also causing said at least one processor to do at least one of the following: (a) update each data element of said plurality of data elements of said ICE profile without scripting, and as needed, by using collaborative computing and (b) deprecate older data elements in favor of more recent ones encoded as the same kind of data element based on an automated determination that the author of the older data is not generally more reliable; and 
     
     
         51 . The method of  claim 48  wherein said executing the instructions thereby also causing said at least one processor to resolve a result set of data objects of said individual by handling request-response messaging over a data network that mediates the aggregation of data elements securely. 
     
     
         52 . The method of  claim 48  wherein said executing the instructions thereby also causing said at least one processor to: eliminate exact duplicates of data elements with common date and time stamps to leave only one of each duplicate. 
     
     
         53 . The method of  claim 48  wherein said executing the instructions thereby also causing said at least one processor to: retrieve individual-specific data to further complete an ordered set of data objects, as organized in a hierarchy to segregate one or more portions commonly used compatibly with current procedural terminology coding for emergency evaluation. 
     
     
         54 . The method of  claim 48  wherein said executing the instructions thereby also causing said at least one processor to: detect that at least one of said plurality of source systems has at least one more data elements that can further complete said ordered set for said individual; said set is loaded for access in a hierarchy; and the instructions also cause loading each discovered data element in a pre-designated portion of a problem-specific template used for emergency evaluation. 
     
     
         55 . The method of  claim 48  wherein said executing the instructions thereby also causing said at least one processor to: assist in navigating among the resources of a multiparty computing environment beyond native resources and facilitate data retrieval from at least one external source system. 
     
     
         56 . The method of  claim 48 , wherein said plurality of source systems is a plurality of different source systems, and wherein said executing the instructions thereby also causing said at least one processor to: detect if at least one of said plurality of different source systems has at least one more data elements that can further complete the ICE profile of said individual. 
     
     
         57 . The method of  claim 48 , wherein said instructions also comprise instructions are executed to automate data exchange with each different source system that has at least one more data element that can further complete the ICE profile of said individual using at least one application programming interface (API) to conduct at least one of the following operations: (a) retrieve said at least one more data element; (b) control the transmittal of at least one data element using a shared consent resource; and (c) attain a list of source systems that have electronic health record data of said individual wherein said list is at least discoverable from a source system that enrolled a reference biometric template of said individual. 
     
     
         58 . A computing technology method for sharing healthcare data on behalf of an individual which supports computing services, comprising: associating an identifier of said individual with personal health profile data of said individual, wherein said identifier is retrievable at least by using inexact matching, within a pre-determined threshold; and transmitting at least one data element of said personal health profile securely to advance the provision of rapid healthcare support to said individual. 
     
     
         59 . The computing technology method of  claim 58 , wherein said computing technology method also comprises sharing personalized healthcare data associated with said individual; and wherein at least one of said computing services facilitates, at least in apart, at least one of the following: (a) a software-as-a-service offering; (b) a platform-as-a-service offering; and (c) an infrastructure as a service offering. 
     
     
         60 . The computing technology method of  claim 58 , wherein the computing technology method also comprises generating a list of personalized treatment options for the patient; and transmitting the personalized treatment options to a separate device for communication thereon. 
     
     
         61 . The computing technology computing technology method of  claim 58 , wherein said computing technology method also comprises obtaining electronic health record data from a plurality of diverse systems, the plurality of diverse record systems having the electronic health record data in different data formats; and reconciling the electronic health record data obtained from the plurality of diverse systems. 
     
     
         62 . The computing technology method of  claim 58 , wherein said computing technology method also comprises sharing patient-specific data in a form encrypted with a cryptography key of said individual securely via a compatible application programming interface (API), wherein said cryptography key is recovered using at least a client application on a wireless device and said identifier. 
     
     
         63 . The computing technology method of  claim 61 , wherein aid API is also compatible with at least one application programming interface of a healthcare provider system that had previously enabled said individual to delegate authority for the use his transformed biometric to decrypt said at least one element with at least the implied consent of said individual. 
     
     
         64 . The computing technology method of  claim 58  wherein said computing technology method, to enable receiving personalized healthcare also comprises matching at least a part of said at least one data element with treatment options, and communicating information describing a plurality of treatment options to a point of care. 
     
     
         65 . The computing technology method of  claim 58 , wherein said computing technology method also comprises, amongst said computer services, a computer service for at least one of the following: (a) filtering the treatment options comprises determining which treatment options are optimal given said at least one data element of said personal health profile; and (b) matching at least said one data element with treatment options and for inferring the highest priority treatment option based at least in part on said at least one data element of said personal health profile. 
     
     
         66 . The computing technology method of  claim 58 , wherein said computing technology method also comprises, amongst said computer services, a computer service for at least one of the following: (a) controlling interactions of at least two healthcare providers supplemented by video communications for said at least two healthcare providers attaining a remote consultation with at least one physician from the point of care; (b) using unstructured voice communications that are synchronized with a structured message flow; and (c) mediating video communication that tends to reduce the need for the patient to be collocated with said individual as a patient. 
     
     
         67 . A computer-readable storage medium storing program instructions that when executed by a computing device cause the computing device to perform a method comprising: program instructions to receive at least one element of personal data of an individual in a machine-readable form; program instructions to receive at least one sample of a digital image of a body part of said individual to serve as a reference for recognition of said individual; program instructions to convert said at least one sample into a template the representation of biometric character data cannot be reconstructed, wherein said template comprises data produced by a recognition algorithm suitable for said digital image; and program instructions, after said at least one sample has been converted into said template, to process at least another digital image of the same part of the body of said individual for recognition by deploying inexact matching, within a pre-determined threshold. 
     
     
         68 . The computer-readable storage medium of  claim 67 , wherein said reference also comprises a reference that depicts a representation of biometric character data of said individual that preserves uniqueness, wherein said character data appears to be one of the following: (a) unchanging over the lifetime of the individual; (b) acceptably changing over the lifetime of the individual; and (c) conducive to updating with successive references at a regular intervals of pre-determined duration. 
     
     
         69 . The computer-readable storage medium of  claim 67 , wherein said program instructions to receive also comprise program instructions to receive an accompanying list healthcare providers of said individual, known to said individual at enrollment time, wherein at least one listed healthcare provider also serves as at least one source of electronic health record data of said individual that enables patients to access at least a specified sub-set of said electronic health record data through a third-party application chosen by said individual, wherein said source permits delegated data access via an application programming interface. 
     
     
         70 . The computer-readable storage medium of  claim 67 , wherein said at least one element of personal data of an individual, that is conducive to representation of biometric character data of said individual, has been captured at least in part from at least one of the following: (a) a government-issued identification card; (b) a bar code; (c) a two-dimensional bar code; (d) a two-dimensional bar code that embeds at least one hyperlink; (e) a bar code at least in part from a government-issued identification card; (f) a two-dimensional bar code, in machine-readable form, that may be modified to embed a hyperlink for personalized healthcare data; (g) a photograph on a government-issued identification card; and (h) an individual-specific image. 
     
     
         71 . A computerized method comprising: processing a machine-readable query that comprises at least an identifier of an individual, wherein said identifier is not at risk of being reconstructed into a raw biometric; obtaining electronic health records (EHRs) from separate healthcare systems that have access to stored EHRs of said individual; normalizing said EHRs obtained from said separate healthcare systems into a compatible format; and generating a unified result set of at least some of the EHRs of said individual from separate healthcare systems in said compatible format. 
     
     
         72 . The computerized method of  claim 71 , wherein said obtaining electronic health records (EHRs) from said separate healthcare systems also comprises: identifying, in the electronic health records accessible by said separate healthcare systems, information of said individual by using at least one reference information model. 
     
     
         73 . The computerized method of  claim 71 , wherein said obtaining electronic health records (EHRs) from said separate healthcare systems also comprises: identifying, in the EHRs obtained from at least a plurality of said separate systems, information related to said individual using at least one common ontology. 
     
     
         74 . The computerized method of  claim 71 , wherein said normalizing said EHRs obtained from said separate healthcare systems also comprises structuring at least some data of said EHRs into a common machine-readable format. 
     
     
         75 . The computerized method of  claim 71 , wherein said generating a unified result set of at least some of the EHRs of said individual from said separate healthcare systems also comprises retrieving at least part of said unified result set by using at least one common application program interface. 
     
     
         76 . The computerized method of  claim 71 , wherein said generating a unified result set of at least some of the EHRs of said individual from said separate healthcare systems also comprises extracting at least part of said unified result set from a resource that made structures at least some data of said EHRs in a common way. 
     
     
         77 . The computerized method of  claim 71 , wherein said query also comprises a query from an application other than one invoked by said individual. 
     
     
         78 . The computerized method  claim 71 , wherein said obtaining electronic health records (EHRs) from said separate healthcare systems also comprises obtaining said electronic health records (EHRs) using scalable configurations of multiple servers whereby said servers are from at least a plurality of separate healthcare systems and form a network of interoperable server systems, using at least one of the following: (a) tightly integrated provisioning; (b) federated computing; (c) loosely coupled servers; (d) a Software Defined Network that supports service virtualization; and (e) a modern control-plane. 
     
     
         79 . The computerized method of  claim 71 , said computerized method also comprising logging the provenance of each data object from said at least some of the EHRs of said individual from separate healthcare systems in said unified result set and providing a portion of said at least some of the EHRS to at least one authorized recipient securely. 
     
     
         80 . The computerized method of  claim 71 , wherein said computerized method also comprises setting up, upon detecting that said wireless device is visiting said serving network, a session within the area of the visited public land mobile network (VPLMN) for IMS Emergency Session Support by using roaming architecture for local breakout, with visited operator's application functions only. 
     
     
         81 . The computerized method of  claim 71 , wherein reconciling the electronic records obtained from the plurality of diverse systems with one another also comprises identifying information in the electronic records that is not present in at least one of the plurality of systems; and updating the at least one of the plurality of systems to include the identified information. 
     
     
         82 . A computerized method of  claim 71  also comprising: obtaining electronic records from a plurality of diverse system having electronic records in different data formats; reconciling the electronic records obtained from the plurality of diverse systems with one another using an ontology-based model. 
     
     
         83 . A computer-implemented method of sharing data for early personalized healthcare, said method comprising: receiving a query from a wireless device for electronic health data of an individual; and sending said wireless device a response, based on a predefined condition in the query, that comprises a message to said wireless device. 
     
     
         84 . The method of  claim 83 , wherein said message to said wireless device also comprises a message with individual-specific data collected from at least one medium of non-volatile machine-readable storage that is regularly maintained under the primary control of said individual. 
     
     
         85 . The method of  claim 83 , wherein said method also comprises receiving, from said wireless device, at least one of the following: (a) an identifier attained by comparing a representation of biometric sample data of said individual, wherein said biometric sample data has been collected from the biometric sensor that is at least communicably connectable with said wireless device for verification, and comparing the representation of said biometric sample data with the biometric reference template of said individual; (b) a photograph of said individual; (c) an abstraction of biometric sample data of said individual that has transformed all raw biometric data irreversibly; (d) a representation of biometric sample data of said individual; and (e) executable machine-readable instructions to attain identifier of said individual from a service provider securely. 
     
     
         86 . The method of  claim 83 , wherein said method also comprises at least one of the following: (a) detecting from data of said query an identifier of said individual through biometric recognition of said individual; (b) composing said response, using an identifier of said individual that associates at least one data object of electronic health data of said individual to securely share said at least one data object of health data requested by said query; (c) sharing a response containing at least one class of accessible electronic health data of said individual; and (d) communicating said response upon validating the query sent using an application programming interface (API). 
     
     
         87 . The method of  claim 83 , wherein said response also comprises a response that uses data accessed from at least one non-transient machine-readable media that is managed most of the time by said individual and that stores at least some electronic health data of said individual. 
     
     
         88 . The method of  claim 83 , wherein at least some of the data exchange is handled by using an application program interface (API), wherein said API also comprises a common API that interoperates with at least one external third-party system that shares a common security mechanism under at least one of the following (a) a reference information model with data security; (b) an attestation of confidentiality; and (c) a wireless network compatible with network security. 
     
     
         89 . The method of  claim 83 , wherein said condition refers to an identifier of said individual and said identifier comprises an identifier attained by using at least one of the following (a) a biometric information input unit external, but communicably connectable to said wireless device, and (b) biometric information input unit of said wireless device. 
     
     
         90 . A computer-implemented method for improving early personalized care support, comprising: executing a mediator as an intermediary between a plurality of applications; and using the mediator to perform a plurality of functions between the plurality of applications. 
     
     
         91 . The method of  claim 90 , wherein using the mediator to perform the plurality of functions also comprises: controlling the interactions between the plurality of applications at the mediator. 
     
     
         92 . The method of  claim 90 , using the mediator to perform the plurality of functions also comprises at least one of the following: (a) using the mediator to executing instructions as an intermediary between a plurality of separate and disparate applications; and (b) using the mediator to aggregate interactions between the plurality of applications and a client. 
     
     
         93 . The method of  claim 90 , wherein said plurality of functions also comprises: using the mediator configured for mission critical personalized healthcare services to exploit encoded knowledge about certain sets of data to create information for a higher layer of applications for personalize healthcare. 
     
     
         94 . The method of  claim 90 , wherein said plurality of functions also comprises at least one of the following by inexact matching, within a pre-determined threshold: (a) identifying an individual from many individuals scalably; (b) verifying that the individual is who the individual is purported to be; (c) verifying that at least a subset of patient-specific data that corresponds uniquely to a specific patient; and (d) resolving a query with individual-specific data from at least one separate health system using extensible multiparty computing capabilities. 
     
     
         95 . The method of  claim 90 , wherein using the mediator to perform the plurality of functions also comprises: using the mediator to process data received from one of the plurality of applications; and sending the processed data to a client by performing computations blindly, without decrypting and without learning the information contained within any individual-specific data processed. 
     
     
         96 . The method of  claim 90 , wherein using the mediator to perform the plurality of functions include: using the mediator to emulate at least one of a request and a response to a first one of the plurality of applications as if the at least one of the request and the response is from a second one of the plurality of applications. 
     
     
         97 . The method of  claim 90 , wherein using the mediator to perform the plurality of functions also comprises at least one of the following: (a) controlling access to at least one network resource; (b) coordinating the interactions between the plurality of applications; and (c) linking, as a layer of intelligent middleware services, data resources and application programs. 
     
     
         98 . The method of  claim 90 , wherein using the mediator to perform the plurality of functions also comprises using the mediator to facilitate access to software as a service (SaaS) for improving personalized healthcare by advancing at least one of the following: (a) patient-specific data retrieval; (b) ICE data aggregation; (c) diagnosis; (d) treatment support; (e) predictive medicine; and (f) customized evidenced based medicine. 
     
     
         99 . The method of  claim 90 , wherein using the mediator to perform the plurality of functions also comprises at least one of the following: (a) discovering individual-specific data of at least one healthcare provider from at least from an application with a patient enrollment API for patient data access; and (b) using the mediator to query disparate systems of healthcare providers using at least one Query Application Programming Interface (API) within a predefined interval. 
     
     
         100 . The method of  claim 90 , wherein using the mediator to perform the plurality of functions also comprises at least one of the following: (a) performing computations blindly, without decrypting and without learning the information contained within any individual-specific data objects processed, and (b) running a server application invoke a resolution application, which receives a remote request, marshals abstracted biometric data of an individual indicative of said request to pose a biometric resolution query to a database capable of dynamically invoking a biometric data abstraction service to process certain data related to the resolution request, and produce a result set to said query, which integrates individual-specific data from separate and different health systems under a shared security mechanism.