A system and method for the collection, capture, processing, storage, and tracking of data for both electronic clinical trial and electronic heath records based upon a single data collection instance, and including data collected by electronic medical devices. Devices and methods for creating certified digital image copies of original documents, including paper source documents for a clinical trial. Devices and methods for ensuring the secure archiving of original electronic documents, including electronic clinical trial source documents, in a secure document storage server.

Systems and methods of associating beds and/or rooms and/or patients are provided. One system and method involves using a signature of emitted light to determine a location of a patient bed in a healthcare facility. Another system and method involves reading a bar code from an array of redundant bar codes. Still another system and method involves manually entering location information on a graphical user interface of a patient bed for subsequent transmission. A further system and method involves sending bed ID and location ID along parallel paths from two independent circuits on a patient bed for receipt by two different transceivers and ultimately by two different remote computers that cooperate to associate the bed ID with the location ID. Still a further system and method involves using circuitry on a bed to mutate a received location ID and a bed ID into a single unique mutated ID such as by adding the location ID and bed ID and then performing a hashing operation.

There is provided a computer-implemented method and apparatus for determining a likelihood of occurrence of a medical event for a subject. A risk profile for the subject is acquired and a plurality of risk profiles for other subjects are obtained from a database. The acquired subject risk profile is compared to the obtained plurality of other subject risk profiles. At least one risk profile is selected from the obtained plurality of other subject risk profiles that most closely matches the acquired subject risk profile. The likelihood of occurrence of a medical event for the subject is determined based on the selected at least one risk profile. A signal indicative of the determined likelihood of occurrence of the medical event for the subject is output.

A system is disclosed which allows gives the Provider the ability to safely and securely transfer funds via a counterparty enabled “pull” from the Payer's account to the Provider's account for payments made by ACH or VCN. The system is based upon a token embedded in the remittance to claim (pull) the funds and sent to the provider and a trusted party used for transferring funds from the payer's account to the provider's account. The provider is thus able to “pull” funds from the provider by using the token embedded in the remittance advice. The token is provided to a trusted party who transfers the funds relating to the token. The use of the token and the change of process flow requiring the provider to pull the funds instead of having the funds pushed into their account eliminates any mismatch between the claim and the payment for the claim.

A system includes a database with at least one dataset with at least one data field corresponding to at least one field of data of a medical claim form, a computing platform in communication with the database, and a memory module. The at least one dataset is formed from de-identified provider information. The memory module contains at least one conversion table for converting between a provider identification code and a corresponding provider name. The computing platform receives a request for information, extracts from the database one or more datasets having information responsive to the request, and forms an output table based on the extracted one or more datasets. The table includes the provider name.

A medical device for facilitating data direction to storage in a patient-specific electronic record is provided herein. In embodiments, the medical device visually presents patient data received from devices that more directly capture physiological data. The medical device is associated with a patient corresponding to the physiological data, and communicates the patient data to a centralized server for processing and forwarding to a database, which includes an electronic record that is specific to the patient. Then, the medical device may be dissociated from the patient.

A medical care data display control device for displaying medical care data of a plurality of items obtained in chronological order is disclosed. The device includes: a hidden time period determining length setting unit in which a hidden time period determining length used to determine whether or not to hide a part of a displayed time period of the medical care data is set; a determination unit that determines whether or not there is a time period which contains no medical care data and is equal to or longer than the hidden time period determining length; and a display control unit that hides, if it is determined by the determination on unit that there is a time period which contains no medical care data and is equal to or longer than the hidden time period determining length, all or a part of the time period which contains no medical care data.

In one embodiment, computer implemented method identifies a risk of developing a condition for a particular patient. First, an initial variable set is developed by utilizing one or more patient databases. Second, an enhanced model predictive of a selected condition is created using machine learning. With the enhanced model developed, patient features vectors are created from a patient health information database for the initial variable set. The enhanced model is applied to these patient feature vectors to predict development of the condition. Patients predicted to have the condition can be enrolled in an appropriate intervention program.

Method, system and computer program product for facilitating management of health care risk exposure of an organization are disclosed. The method includes receiving a plurality of records associated with an organization from one or more data sources. Each record includes data corresponding to a health related adverse event. The data is received in a structured form. A set of composite documents is generated from the plurality of records. Each composite document includes information in an unstructured form. If the set of composite documents include instances of duplication of information, then events are created for the instances of duplication of information. The method further includes classifying the created events using a predetermined taxonomy and analyzing the events to facilitate assessment and management of health care risk exposure of the organization.

A method, a system, and a computer readable article of manufacture tangibly embodying computer readable instructions for executing a computer implemented method for automatically evaluating the quality of a medical record. The method includes: generating temporary facts from a medical record to be evaluated; constructing a query to a knowledge base of standard facts of standard medical records from the temporary facts; executing the query to the knowledge base by using a reasoning engine; and determining the quality of a medical record to be evaluated based on the result of the query.