According to an aspect of an embodiment, a method of delivering information-enabled personalized healthcare in a clinical, non-research setting may include capturing one or more data streams where each of the data streams relates to health care of a patient. The method may further include integrating the data streams to generate integrated diagnostic data and analyzing the integrated diagnostic data to generate analyzed diagnostic data. The method may further include curating the analyzed diagnostic data and generating an integrated report for presentation to a physician of the patient based on the curated analyzed diagnostic data.

Various embodiments described herein relate to a server and related wearable device, method, and machine-readable storage medium including one or more of the following: receiving, at a rule installation server, family health data associated with at least one family member of a wearable device user; retrieving a candidate rule including installation criteria and an identification of a wearable device rule; evaluating the installation criteria using the family health data to determine that the candidate rule is to be installed; and based on determining that the candidate rule is to be installed, communicating the wearable device rule for installation on the wearable device.

Described herein are technologies pertaining to automatic generation of an executive summary (explanation) of a medical event in an electronic medical record (EMR) of a patient. A medical event in the EMR is automatically identified, and a search is conducted over a document corpus based upon the identified medical event. A document retrieved as a result of the search is analyzed for a portion of text to act as an executive summary for the medical event. Each portion of text in the document is assigned a score, and the portion of text assigned the highest score is utilized as the executive summary for the medical event.

A user-configurable radiological data transformation, routing and archiving engine includes a plurality of sub-engines representing algorithms programmed to be processed by a processor, the sub-engines including a user-configurable transformation sub-engine, a user-configurable routing sub-engine, a user-configurable archiving sub-engine and a user-configurable priors puller sub-engine.

An automated medical test data report, tracking, and patient matching system devised to enable secure transmittal of medical test results data over network between a hosting computing apparatus and at least one receiving computing apparatus is provided. Triple tiered security is enabled by action of paired cryptographic keys, sequencing of data by generation of a randomized and securely-shared sequencing order, and fragmentation of data from a data stream into sortable data packets routable to separate and remotely connected partitions by appending a sort code into each data packet collectively prevent compromise of data in transmission over network.

A system includes a plurality of queues configured to hold tasks and state information associated with such tasks. The system further includes a plurality of listeners configured to query one of the plurality of queues for a task, receive, in response to querying one of the plurality of queues for a task, a task together with state information associated with the task, effect processing of the received task, and communicate a result of the received task to another queue of the plurality of queues, the another queue of the plurality of queues being selected based on the processing of the received task.

Implementations for providing patient physiological data to a third-party system in near-real-time include determining that a value of a data element within a data source has changed, and determining that the data element is included in a watchlist, the watchlist including one or more topics, each topic being associated with at least one data element, and in response: providing a data element tuple associated with the data element, and transmitting the data element tuple to the third-party system over a network. Other implementations of this aspect include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.

The present invention is directed to systems and methods that provide community based managed health kiosks and prescription drug dispensing systems, and more particularly to facilitating automated drug dispensement by a kiosk system following authorization by a remotely located health care professional who can monitor and communicate with a patient via the kiosk system.

Methods, systems and related computer products for providing entitlement controlled levels of collaborative exchange of data using a computer network of Subscribers and Publishers, are configured to: (a) define a set of different privacy levels, each privacy level having associated data sharing parameters that control a participating Publisher's ability to send and a participating Subscriber's ability to receive content specific data; and (b) provide an electronic privacy level register that defines the different data sharing parameters for each of the different privacy levels and identifies an associated at least one privacy level for each participating Subscriber and Publisher.

Systems and methods are provided for drug development under a fully transparent development model. The model is configured to provide transparency to the patients, the researchers, clinicians, physicians, and any other registered users of the system who wish to contribute. According to various embodiments, the system and model enable drug development that leverage the combined wisdom and insight of the user population eliminating many of the drawbacks of conventional development approaches. In one embodiment, the system includes drug development engine configured to manage execution of parameters of a clinical trial, including collection of health and treatment information from a patient population. The development engine can publish collected execution data for review and analysis.