Abstract: A method, apparatus and computer program product are provided for providing a patient with prescribed medication cost information at a point of prescribing. A prescription benefit coverage inquiry is received and provided to a claims processor for processing. Historical data associated with prior prescription transactions is utilized to determine an estimated cost range of a prescribed medication in the event of an insufficient or absent response from a benefits manager. The estimated cost range is then provided to a prescriber to share with a patient. A targeted out-of-pocket cost according to incentives, such as vouchers and drug manufacturer rebates may also be provided.

Abstract: A patient recruitment system, in particular for clinical studies, has at least one database environment comprising at least one database module that is configured at least to store in a patient database at least patient data records containing at least one course of treatment of at least one patient, has at least one patient recruitment server comprising at least one patient recruitment module that is configured to search and at least compare with at least one recruitment feature, data records, in particular courses of treatment, and has a data transport unit for a data transfer, in particular of at least one course of treatment, between the database environment and the patient recruitment server, the data transport unit comprises a restriction module, which restricts the data transfer to outbound connections originating from the database environment.

Abstract: Methods and systems for providing treatment planning information for a neurology procedure, including neurosurgical procedures. A database containing historical data about historical procedures is accessed. Historical data relevant to a neurology procedure is determined, based on a determination of similarity to a set of data characterizing the neurology procedure. Historical instances of procedure parameters relevant to the neurology procedure are determined and displayed.

Abstract: A System, Method, and Apparatus for Predicting Medical No-Shows and for Scheduling is provided. The system is based on a patient appointment schedule and indicators including office type, practice area, appointment type, engagement with the office leading up to appointment, and a variety of other characteristics of each patient and appointment. The indicators can be selected, weighted proportionately, and input into an algorithm for analysis and processing. The algorithm can then predict the likelihood of a no-show for the respective patient and appointment. The likelihood can then be used for scheduling to minimize the negative impact on the medical professional of the no-show. The algorithm can be used in conjunction with machine learning to improve its accuracy as it informs itself with experience and additional data points. The likelihood of a no-show can be incorporated into scheduling programs and made accessible on mobile devices, computers, and other monitoring devices.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: A system and a computer-implemented method of managing building wellness. The method may include the steps of: obtaining wellness parameters for a building (e.g., an office building) having an occupant(s); processing the wellness parameters to determine a current wellness index for the building; and, based on the current wellness index, sending a message regarding the current wellness index to a recipient(s) (e.g., a building occupant), displaying the current wellness index for a user(s), and/or identifying a remediation action(s) to improve the current wellness index.

Abstract: Systems and methods for managing healthcare treatment using closed-loop control are described. A method includes wirelessly receiving quality-of-care information from a patient mobile communication device, reporting the quality-of-care information to a quality tracking system, and receiving an incentive payment responsive to reporting the quality-of-care information to the quality tracking system. The quality-of-care information may relate to one or more quality-of-care indicators used to incentivize a provider or consumer of healthcare services. A patient may be alerted to the quality-of-care indicators for specific medical conditions. Personalized and specific notifications generated by an application residing in the patient's mobile device or running in the cloud may be communicated to the patient electronically, including prompts to the patient to take specific action in order to best manage a medical condition or prescribed treatment.

Abstract: A system for monitoring installed healthcare assets includes an asset database containing installed asset data and recovered asset data and a storage system storing a trained regression model and a clustering model. A processing system is configured to process the installed asset data using the trained regression model to predict a recovery time for each installed healthcare asset and process the installed asset data and the recovered asset data using the clustering model to identify a set of target assets, wherein the set of target assets is subset of the installed healthcare assets. The processing system is further configured to identify at least one recovery target asset based on the set of target assets and the predicted recovery time for each installed healthcare asset in the set of target assets.

Abstract: The user is to be informed of the reliability of the machine-learned model based on the current input relative to the training data used to train the model or the model itself. In a medical situation, the data for a current patient is compared to the training data used to train a prediction model and/or to a decision function of the prediction model. The comparison indicates the training content relative to the current patient, so provides a user with information on the reliability of the prediction for the current situation. The indication deals with the variation of the data of the current patient from the training data or relative to the prediction model, allowing the user to see how well trained the predication model is relative to the current patient. This indication is in addition to any global confidence output through application of the prediction model to the data of the current patient.

Abstract: A system, method and article of manufacture are presented for assisting the fields of health care, kinesiology, and sports medicine. More specifically the method of the system measures the dynamics of the biomechanics of motion of a human patient or athlete and quantitatively determining the presence or absence of biomechanical abnormalities, classifying abnormalities that are present, developing or critiquing one or more diagnoses in terms of the biomechanics evidence supporting the classification, recommending an appropriate training or treatment regimen based on the diagnoses, and monitoring progress while the individual is under the training or treatment regimen.

Abstract: Data-driven systems and methods are described in regard to managing an encampment of at-risk individuals. In some variants a client/mobile device is configured according to one or more special-purpose protocols by which a task pertaining to the encampment is associated with a first resource, wherein the first task includes obtaining a first informational component. Recommendation data pertaining to the encampment is provided that is correlated with one or more features of the encampment and includes a task or referral pertaining to a second resource.

Abstract: The present invention provides systems and methods for use with electronic records, such as Electronic Medical Records (EMRs). A parser engine may receive a stream of Health Level 7 (HL7) messages containing EMR data and, using parsing logic, parse the HL7 messages to identify and extract specified EMR data therefrom. The extracted EMR data may be utilized in determining analytic results data that may be presented, or made available for presentation, to a medical professional or medical staff member, in real time or near real time relative to entry of the EMR data into an EMR system.

Abstract: Computer network architectures for machine learning, and more specifically, computer network architectures for the automated completion of healthcare claims. Embodiments of the present invention provide computer network architectures for the automated completion of estimated final cost data for claims for healthcare clinical episodes using incomplete data for healthcare insurance claims and costs, known to date. Embodiments may use an automatic claims completion web application, with other computer network architecture components. Embodiments may include a combination of third-party databases to generate estimated final claims for pending patient clinical episodes, and to drive the forecasting models for the same, including social media data, financial data, social-economic data, medical data, search engine data, e-commerce site data, and other databases.

Abstract: Disclosed are embodiments of systems and methods that allow for simplified creation of a calendar event. In embodiments, an entry may be provided via a simplified entry form. In embodiments, the present invention simplifies the creation of an event through natural language parsing. Embodiments may enable creation of an event for a calendaring application and/or within an application that is not primarily a calendaring application, such as, by way of example, an email application, an SMS/text messaging application, an instant messaging (IM) application, and a social networking application.

Abstract: A method comprises displaying, via an interactive interface, a medical scan and a plurality of prompts of each prompt decision tree of a plurality of prompt decision trees in succession, beginning with automatically determined starting prompts of each prompt decision tree, in accordance with corresponding nodes of each prompt decision tree until a leaf node of each prompt decision tree is ultimately selected. Labeling data indicating the ultimately selected leaf node of each prompt decision tree is determined for the medical scan.

Abstract: Embodiments of the present disclosure include a system and method of compartmentalizing some or all aspects of clinical trial data acquisition and management. Moreover, embodiments include aggregation of the compartmentalized trial data to perform business metrics, trial interaction studies, and the like.

Abstract: Features and aspects provide systems that advantageously enhance decisioning related to diagnostic testing by providing a mapping engine that interacts with disparate data processing systems to provide mappings of data elements from stored information for various types of diagnostic tests, including molecular tests. The mappings are stored in a decision support map file and can be referenced when molecular tests are ordered by diagnosticians to improve consistency, speed, and efficiency. Additionally, automated decisioning regarding review of molecular test orders can be provided by the system.

Abstract: Embodiments relate to systems and methods for probabilistically filtering candidate intervention representations. Systems and methods are described that receive a candidate intervention representation; specify a plurality of parameters as a function of the candidate intervention representation; identify a plurality of analytical constraints, where each analytical constraint corresponds to an analytical parameter of the plurality of parameters; generate a probabilistic output as a function of the candidate intervention representation, the plurality of analytic constraints, and training data correlating past intervention representations to a deterministic outcome; and, filter the at least a candidate intervention representation using the probabilistic output.

Abstract: Disclosed embodiments include a server computer system that can create a patient profile identifying a group of individuals including a user of a client device and only one patient corresponding to an individual other than the user of the client device. The patient profile can include an assessment and a treatment for the patient based on the assessment. The server computer system can receive, from the client device over a computer network, data values selected by the user of the client device, where the data values are indicative of observations of the patient's activity. The server computer system can further update the patient profile based on the received data values such that the data values influence the treatment, and send, to the client device over the computer network, a message including guidance for the user of the client device to implement the treatment.

Abstract: A method for providing secure medical alerts includes executing, using a mobile healthcare worker application executing on a mobile healthcare worker device, a Health Level 7 (HL7) compliant protocol to retrieve medical profiles from a cloud computing server. Using the mobile healthcare worker application, a medical profile of a person (e.g., child or child's mother) is identified from the medical profiles when the mobile healthcare worker device is disconnected from the cloud computing server. The identifying includes reading, using a quick response (QR) code scanner, a QR code of an immunization document of the person, or capturing, using a biometric sensor, biometric data of the person. Using the medical profile of the person, an alert is generated indicating a medical deadline for the person on a graphical user interface of the mobile healthcare worker device when the mobile healthcare worker device is disconnected from the cloud computing server.

Abstract: A data processing system for machine-learning driven data analysis and reminders implements obtaining insurance claim information associated with a plurality of insurance claims associated with a user, user demographic information for the user or both and obtaining digital healthcare service provider information associated with one or more digital healthcare service providers.

Abstract: Embodiments in the present disclosure relate generally to computer network architectures for machine learning, artificial intelligence, and active updates of outcomes. Embodiments of computer network architecture automatically update forecasts of outcomes of patient episodes and annual costs for each patient of interest after hospital discharge. Embodiments may generate such updated forecasts either occasionally on demand, or periodically, or as triggered by events such as an update of available data for such forecasts. Embodiments may include a combination of third-party databases to generate the updated forecasts for pending patient clinical episodes, and to drive the forecasting models for the same, including social media data, financial data, socio-economic data, medical data, search engine data, e-commerce site data, and other databases.

Abstract: A bi-directional interface system that facilitates exchange of personal health information (“PHI”) between a mobile device and an electronic health record (“EHR”) system and/or other ancillary systems without storing information on the mobile device. The system may display data that exists in the EHR and/or other ancillary systems valuably viewed at a glance (e.g., vital signs, weight, last void data), as well as facilitate data entry that would feed into the EHR (e.g., vital signs and intake and output). The system may customize at a unit level and/or professional role the information available to health care professionals at the critical time of handoffs and reduce the health care professional's individual need to rely on memory or handwritten notes, further reducing missed information or erroneous information opportunities. The system may provide a mobile application to view and enter patient data to reduce potentially delayed information and treatments of care.

Abstract: A computer system for enhanced personal property replacement may be provided. The computer system may include at least one processor in communication with at least one memory device. The at least one processor may programmed to receive a plurality of user preferences transmitted from a user computer device associated with a user, receive a request from the user to cover a claim, determine a first plurality of items for the user based upon the claim and the plurality of user preferences, and/or transmit, to a retailer computer device associated with a retailer, an order for the determined first plurality of items with the retailer to be delivered to the user at an address associated with the user.

Abstract: Systems and methods are provided though which a transaction, e.g., in a multi-tier, distributed application may be initiated from a portable or hand-held device, such as a smartphone. A computer system or systems, possibly remote from the device, may approve the transaction, complete it, or both, and the remote computer system or systems may cause a document to be printed, e.g., by a printer physically proximate to the device. Aspects of the invention are illustrated by embodiments in which a drug prescription may be created electronically using a hand-held device. In such an embodiment, the prescription may be transmitted to one or more remote computer systems, such as an application server, for processing. If specified, the remote computer systems may cause a prescription to be printed, e.g., at a printer near the prescriber's location. The prescriber may sign the printed prescription and give it to a patient or pharmacy.

Abstract: In accordance with one or more embodiments herein, a system 100 for customizing an implant is provided. The system 100 comprises a processor configured to: i) obtain one or more medical image stacks of a joint; ii) obtain a three-dimensional image representation of the joint based on at least one of said medical image stacks; iii) determine damage to the joint by analyzing said medical image stacks; iv) select an implant template from a predefined set of implant templates having predetermined types and sizes; v) generate a 3D model, in which the marked damage is visualized together with the selected implant template in a proposed position; vi) display the 3D model; vii) receive an approval for said selected implant template in said proposed position; and viii) determine the final shape and dimensions of a customized implant based on said selected implant template and said proposed position.

Abstract: A method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a specialized prediction model, including receiving constraints, encoding genotype information in experimental data points corresponding to the constraints experiential genotype vectors, the experimental data points comprising the genotype information and phenotype information corresponding to the genotype information, training a phenotype prediction model based on the experiential genotype vectors, the corresponding phenotype information, and the one or more constraints, applying the phenotype prediction model to available genotypes corresponding to the constrains to generate scores, determining result genotypes based on a ranking of the available genotypes according to the scores, and generating, a result based on the result genotypes, the result indicating one or more genetic constructs for testing.

Abstract: A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, facilitating treatment of a person having congestive heart failure. The method includes the step of receiving patient information for a patient and using at least one solver to determine a patient condition or recommended treatment based on patient parameters or patient information.

Abstract: A medical diagnostic kit are described. In one example, a medical diagnostic kit includes a container, and a plurality of medical diagnostic test kits located within the container. Each of the plurality of medical diagnostic test kits can include equipment necessary to perform a particular self-administered medical diagnostic test. The plurality of medical diagnostic test kits can include at least a first medical diagnostic kit adapted to facilitate user completion of a first medical diagnostic test and a second medical diagnostic kit adapted to facilitate user completion of a second medical diagnostic test different from the first medical diagnostic test. The container can include a machine-readable code located on an external surface of the container.

Abstract: Systems and methods for tracking and management of a distributed ledger including information for a batch of radiopharmaceutical material are disclosed. Certain examples provide a computer-implemented method of managing radiopharmaceutical material including tracking, using at least one processor, a status of a batch of radiopharmaceutical material, the status to include a type, a quantity, and a timestamp associated with the batch of radiopharmaceutical material; generating a record in a first copy of a distributed ledger using the type, quantity, and timestamp associated with the batch of radiopharmaceutical material; updating the record based on at least one of usage of the batch of radiopharmaceutical material, resale of at least a portion of the batch of radiopharmaceutical material, and decay of the batch of radiopharmaceutical material; and sharing the record with a second copy of the distributed ledger.

Abstract: The present disclosure provides a delirium risk predicting method which includes receiving at least one of blood data, severity evaluation data, mental state evaluation data, and bio signal data, medication data, and medical treatment data, for an subject, predicting a delirium risk for the subject, using a delirium risk prediction model configured to predict a delirium risk, based on at least one data, the medication data, and the medical treatment data, and providing the delirium risk predicted for the subject. The at least one data, the medication data, and the medical treatment data are defined as initial data which is evaluated or measured only once for the subject and a delirium risk predicting device using the same.

Abstract: The invention generally relates to a method and system for utilizing an Artificial Intelligence (AI)-based technology for tracking human mobility patterns and contact points, via a Software Development Kit (SDK) integrated into client device applications. The SDK performs contact tracing by recording past and current signal data/measurements of Wi-Fi access points encountered by a client device and stores these measurements in a local memory of the client device. The SDK further analyses the recorded past and current signal data/measurements of the Wi-Fi access points using an AI module to derive mobility patterns of user of the client device. The AI module of the SDK then identifies other client devices that the client device may have encountered based on analyzing the mobility patterns of the user of the client device and the recorded past and current signal data/measurements and via performing Wi-Fi network sniffing.

Abstract: The disclosed systems and methods include displaying disease trigger icons within a disease trigger map in a GUI, where the disease trigger map corresponds to a particular disease symptom, and where the position and size of a particular trigger icon within the trigger map based one or more of (i) the degree or strength of a statistical association between the trigger icon's corresponding disease trigger and the disease symptom, and (ii) a cumulative frequency and/or amount of exposure to the trigger icon's corresponding disease trigger. Some embodiments also include displaying a patient population disease trigger map one or more relationships between (i) one or more disease triggers and (ii) one or more patients of the patient population. Some embodiments may further include facilitating communication and/or disease trigger information sharing among patients.

Abstract: The present disclosure is directed to conducting electronic transactions via a computer network. A server receives data packets carrying data identifying a merchant category, an electronic account maintained and configured on the server, and a first monetary amount of a first electronic transaction. A first device generates the data packets at the merchant to conduct the electronic transaction. A policy engine selects a first purse of a plurality of purses allocated to the electronic account based on a policy applied to the data. The first purse may be configured as a benefits purse. The server obtains the first monetary amount of the electronic transaction from the first purse. The policy engine applies a second policy to the data to determine a reimbursement amount based on the first monetary amount of the transaction, and electronically provides the reimbursement amount to a different second purse of the electronic account.

Abstract: A method of reconstructing a gingival profile comprising generating, by a processor, a defined cross section of an arch form model extending through a tooth axis of a given tooth and a defined gingiva region; identifying within a tooth cross section profile of the defined cross section a set of reference points for generating a parametric curve defining at least a portion of the tooth cross section profile; generating the parametric curve based on the set of reference points; generating a first undefined cross section of the arch form model extending through the tooth axis of the given tooth and an defined gingiva region; constructing in the first undefined cross section, at least a portion of the parametric curve, thereby generating a first reconstructed gingival profile, and updating the arch form model with the first reconstructed gingival profile; and storing the arch form model including the reconstructed gingival profile.

Abstract: Methods and systems disclosed herein provide drug pricing information for display on a graphical user interface (GUI) for a user. The methods and systems may receive an electronic request from an electronic device associated with the user, wherein the electronic request includes a first set of information that identifies the user and a prescription drug and omits a second set of information corresponding to a prescription for the prescription drug; transmit the first set of information to a database management module; determine, by bypassing transmission of the second set of information to the database management module, the drug pricing information for the prescription drug; and generate, in response to the electronic request, a notification that includes the drug pricing information for display via the GUI executing on the electronic device. The drug pricing information can include a cash price, a co-pay price, and/or a membership price for the prescription drug.

Abstract: An electronic prescription is obtained over a network. A synthetic prescription is generated from the electronic prescription and provided to an insurance switching system. Insurance information of a patient is received from the insurance switching system based on the synthetic prescription. An auto-reversal of the synthetic prescription with the insurance switching system is triggered. A patient payment amount associated with the particular pharmaceutical is determined based on the insurance information. One or more pharmacies to fulfill the electronic prescription are identified based on patient information. An interactive routing request data message is provided to the patient, the data message including the patient payment amount and a request for selection of a particular pharmacy of the one or more pharmacies. The selection of the particular pharmacy is received from a computing device associated with the patient.

Abstract: A system for generating a vibrant compatibility plan using artificial intelligence. The system includes at least a server wherein the at least a server is designed and configured to receive at least a composition datum from a user client device wherein the at least a composition datum includes at least an element of user body data and at least an element of desired dietary state data. At least a server is configured to select at least a correlated dataset. At least a server is configured to create at least an unsupervised machine-learning model including at least a hierarchical clustering model to output at least a compatible food element. At least a server is configured to generate at least a vibrant compatibility plan wherein the at least a vibrant compatibility plan further comprises a plurality of compatible food elements each containing at least a food element compatibility index value score as a function of the at least a hierarchical clustering model.

Abstract: A medication adherence system with a pill container with 2D barcodes printed along one or more compartment stores medication to be taken. A user scans the 2D barcode using a first electronic device with a mobile app installed and the user confirms the correct medication for the appropriate day and the system synchronizes scanning and scheduling data to an Internet cloud service. Separately, proxy users and caregivers can use a second electronic device to retrieve data from the cloud and manage a patient's medication scheduling and the devices are in data communication through the mobile app and associated cloud service. Proxy users can seamlessly monitor and manage medication adherence of semi-independent persons using the described system.

Abstract: A variable dose dispensing system may include a processor and memory. The processor may receive a request for a variable dose order of a medication, such as from a user. The processor may request an amount of the medication to be administered, and receive, in response to the request, an indication of the amount to be administered. The processor may verify that the amount to be administered is within a range of the variable dose order. The processor may determine an item in a local inventory that contains at least the amount of the medication to be administered, and may dispense the item. If an amount of the dispensed item exceeds the amount to be administered, such as by a waste amount, the processor may display an indication of the waste amount to the user, and may transmit a notification of the waste amount, such as to a management server.

Abstract: A method, apparatus and computer program product are provided for partitioning prescription transaction costs in an electronic prescription transaction by determining a credit amount to be applied to an adjudicated prescription claim, based on a co-pay amount provided by an adjudication computer, and a cash price obtained from a cash discount system. The remaining patient pay amount, which may be less than or equal to the cash price, may be transmitted to the pharmacy computer. The credit amount may be transmitted to the pharmacy computer or other third party computer.

Abstract: A treatment planning apparatus includes: a modeler configured to obtain a model definition, wherein the model definition comprises a first quality metric of a first clinical goal; and a treatment planner having: a model trainer configured to obtain a set of existing treatment plans following desired clinical practice, and to perform model training to obtain a trained model based on the existing treatment plans and the first quality metric of the first clinical goal; an objective generator configured to generate a cost function based on the trained model; and an optimizer configured to determine a treatment plan based on the cost function.

Abstract: A method for matching an instance to exemplars within a system includes receiving a plurality of literature regarding medical subject matter; including the received plurality of literature related to the medical subject matter into a text artifact; indexing the artifact using encodings to derive an initial code signature; deriving association rules from the artifact seeded by the signature to obtain a list of terminology to code mappings; receiving extensions to each of the code mappings to augment the mappings with the received extensions; indexing the artifact using the received extensions to obtain an exemplar code signature for the certain subject matter; and storing the generated exemplars for matching and instance; receiving an instance and generating an instance code signature using the received extensions; matching the instance code signature to one or more exemplar code signatures.

Abstract: Systems and methods are provided for facilitating resolution of work items within a fraud resolution workflow. Exemplary implementations may: manage fraud workflow information, the fraud workflow information specifying a queue of work items, individual work items representing individual fraud resolution tasks associated with individual content creators of a membership platform flagged for fraud, individual work items being associated with work items records; effectuate presentation of a user interface for displaying individual work item pages through which the users access the individual work items for resolution, wherein the user interface facilitates access to individual ones of the work item records of the individual work items associated with the individual work item pages; and/or perform other operations.

Abstract: An analytics platform for analyzing medical claims with low latency is configured to compress medical claims records into common data input objects that may be usable by a plurality of independent and parallel program analytics. The common data input objects are then passed as input to all of those program analytics, which are then configured to retrieve at least one compressed parameter file for use in processing data elements of the common data input object in accordance with a framework of a respective program analytic. The program analytics generate respective outputs based at least in part on data elements of the common data input objects, and the analytics platform combines those outputs into a single combined common output object.

Abstract: A method for providing video conferencing services on a mobile device is disclosed. The method may include receiving a data packet via an encrypted electronic communication channel, the data packet comprising i) authorization from a server hosting privacy health care data and ii) scheduling information for a health care provider. The method may include creating a clickable link using the data packet, the clickable link configured for initiating a video conference session from a single user action on the clickable link. The method may include, in response to the user pressing the clickable link, (i) sending a second data packet to the health care provider for initiating the video conference session, and (ii) initiating the video conference with the health care provider via a secure communication channel.

Abstract: An embodiment provides a mobile application that animates change information in a way that specifically indicates a change in workflow information for various users. This animation of change information permits users, which are often busy healthcare professionals, to be quickly apprised of relevant changes to workflow status. The mobile application also allows users to communicate change information, e.g., for updating the status of a workflow item, which may then be propagated throughout a network, including mobile devices.

Abstract: An integrated tele-health networking, interaction, and care-matching tool for tele-health services may include a tele-health operations server in communication with patient, provider, matching, and interaction databases. A management engine running on the server may execute a database management module, a rule module, and a GUI module configured to display a GUI having a plurality of preconfigured screens at a plurality of user terminals. In operation, the management engine implements a referral-based care network that connects a patient with healthcare providers, non-medical-professional caregivers, advocates, and friends or family via the user terminals.

Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.

Abstract: Embodiments of a computer-assisted method classify service descriptors from chargemasters into national billing code equivalents for easy comparison of health provider prices. Medical libraries are attached and specialized rules are applied to augment service descriptors from chargemasters with supplementary medical information. A computer processor is configured to execute a text-based classifier and/or textual similarity metric to accurately associate service descriptors to national billing coding equivalents for service descriptors from different health providers. The disclosed embodiments form a comprehensive list of service descriptors grouped by national billing code equivalents and by textual similarity.