Danbury, CT, United States
Danbury, CT, United States

IMS Health is a company that provides information, services and technology for the healthcare industry. It is the largest vendor of U.S. physician prescribing data. IMS Health was founded in 1954 by Bill Frohlich and David Dubow. In 2010, IMS Health was taken private by TPG Capital, CPP Investment Board and Leonard Green & Partners. Ari Bousbib is IMS Health’s Chairman and CEO. Bousbib, formerly a longtime senior executive at United Technologies Corporation, joined the company in September 2010. IMS Health is headquartered in Danbury, Connecticut. Wikipedia.

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Patent
IMS Health | Date: 2016-02-03

Methods, system, and apparatus for pre-computing data metrics. A method can include receiving, by one or more computers, (i) data from a user including a plurality of data metrics, and (ii) historical data associated with the user; generating, by the one or more computers and based at least on the historical data associated with the user, a forecast for the user using an artificial neural network, the forecast indicating a prediction of future user behaviors; determining, by the one or more computers and based at least on the forecast for the user, a subset of data metrics, from among the plurality of data metrics, that are likely to be used by the user; performing, by the one or more computers, one or more automatic data operations on the subset of data metrics; and providing, by the one or more computers, the processed subset of data metrics for output.


A method and system to provide multi-layered access control for healthcare datasets are disclosed. The method comprises defining an information policy for each of healthcare datasets, wherein the information policy comprises information access permissions. Further, an organization policy is defined for each of the healthcare datasets, wherein the organization policy comprises license permissions for organizations accessing the healthcare datasets. Thereafter, a user account master policy is defined for each of the healthcare datasets, wherein the user account master policy comprises account permissions assigned to users of the organizations. Subsequently, a master user policy is generated for each of the users based on the information policy, the organization policy, the user account master policy, or a combination thereof, wherein the master user policy comprises access control permissions to provide each of the users access to the healthcare datasets.


A method and system to provide multi-layered access control for healthcare datasets are disclosed. The method comprises defining an information policy for each of healthcare datasets, wherein the information policy comprises information access permissions. Further, an organization policy is defined for each of the healthcare datasets, wherein the organization policy comprises license permissions for organizations accessing the healthcare datasets. Thereafter, a user account master policy is defined for each of the healthcare datasets, wherein the user account master policy comprises account permissions assigned to users of the organizations. Subsequently, a master user policy is generated for each of the users based on the information policy, the organization policy, the user account master policy, or a combination thereof, wherein the master user policy comprises access control permissions to provide each of the users access to the healthcare datasets.


An indication that an occupant has entered a vehicle is detected on a computing device. The occupant is identified based on the indication that the occupant has entered the vehicle. A health record that is associated with the occupant is accessed by the computing device. The computing device enables the accessed health record associated with the occupant to be available from a secure digital storage container. The health record associated with the occupant is provided to a second computing device registered to a first responder from the secure digital storage container based on detecting an indication that the vehicle has had a collision.


Apparatus and method to serialize electronic localized data, or to produce electronic localized data from serialized data. The apparatus to serialize includes: a receiver to collect electronic localized data; a processor coupled to the receiver, the processor configured to receive the electronic localized data collected by the receiver; a memory coupled to the processor, the memory configured to store an application program; an interface to a serialization module, to serialize electronic localized data collected by the receiver, wherein the interface is callable from the application program; and a storage module configured to store the serialized data from the serialization module.


Patent
IMS Health | Date: 2016-02-24

The disclosure generally describes computer-implemented methods, software, and systems for receiving and aggregating anonymized data reports about when prescribers provide wireless device applications to patients. The disclosure discusses ways of analyzing the data reports in combination with other electronic medical information to generate useful conclusions about scenarios in the health care process.


System and method to process a digital power of attorney (DPOA), the method including: receiving a request from the grantor to create a DPOA to name a predetermined grantee; transmitting the request to an authentication server in order to authenticate the request; receive an authentication result from the authentication server; and if the authentication server is positive, issuing the DPOA to the predetermined grantee. The method may further include receiving a request from a purported grantee or from a digital service provider to exercise the DPOA; authenticating, by the authentication server, an identity of the purported grantee; if the purported grantee is the predetermined grantee, verifying a condition of usage of the DPOA; and if the condition is verified, granting a power specified by the DPOA.


Patent
IMS Health | Date: 2016-05-18

A computer-implemented method includes generating a matching rule defined by a user, where the matching rule is a clear text rule, and receiving a transaction message that includes patient data from one or more health care facilities, where the patient data includes one or more patient health care events. A custom extension to a relational database is generated based on the received patient data, and the generated matching rules is applied to the received patient data at the custom extension to the relational database. Related patient event records within the custom extension to the relational database are identified and the related patient event records are configured based on the applied matching rule.


Patent
IMS Health | Date: 2015-01-21

The disclosure generally describes computer-implemented methods, software, and systems for receiving and aggregating anonymized data reports about when prescribers provide wireless device applications to patients. The disclosure discusses ways of analyzing the data reports in combination with other electronic medical information to generate useful conclusions about scenarios in the health care process.


Patent
IMS Health | Date: 2015-06-18

Methods, system, and apparatus for verifying offline patient data. In one aspect, a method includes receiving, from a user, an input specifying field values for one or more data fields, receiving a reference file that specifies (i) one or more database rules for a particular dataset, (ii) for each database rule, a score that reflects the occurrence of the database rule within the particular dataset and a logical expression representing the application of the database rule to the particular dataset, comparing the field values specified by the input to the one or more database rules specified in the reference file, determining a confidence score associated with the received input specifying values for the one or more data fields based at least on comparing the field values specified by the input to the one or more database rules; and providing, for output, the confidence score associated with the received input.

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