Abstract: A multi-partition computer system includes a utilization monitor for monitoring resource utilization, plural prediction engines for predicting utilization during a next allocation period, a prediction rater for rating said prediction engines based on the accuracy of their predictions, and an allocation implementer for implementing an allocation determined as a function of a prediction by a highest-rated of said prediction engines as determined by the prediction rater.

Abstract: A method of generating a set of composite services is provided herein. The method includes receiving standardized service descriptions of a set of component services from service providers. The standardized description of a component service may be translated to an automaton-based description. A specified goal associated with the set of component services may be received. The set of composite services may be generated based on the automaton-based description and the specified goal. Each of the generated composite services may accomplish the specified goal.

Abstract: In one embodiment, a data set is received at a network service element of a network service, a location record for that data set is generated, and the location record is sent to a location registry within the network service to monitored locations of that data set within a network service. The network service element is operatively coupled to a communications link. The location record is generated based on a portion of the data set and a cryptographic key associated with the network service element. The location record uniquely identifies the presence of the data set at the network service element.

Abstract: A method performed by a processing system includes identifying a first node in a metadata tree of a patient that corresponds to an encrypted electronic health record in an encrypted data store and preventing a portion of the first node from being decrypted with a node key of a first healthcare participant in response to a second node of the metadata tree including key rotation information that indicates that the node key has been revoked by a second healthcare participant.

Abstract: A technique for controlling an output of a computing system having multiple adjustable inputs includes providing a set of adjustable inputs to the computing system, observing an output of the computing system while the system is in operation, and selecting a subset of adjustable inputs from the set of adjustable inputs based on the observation of the output. The inputs in the selected subset are then adjusted to achieve a desired output of the computing system.

Abstract: A method performed by a processing system includes reconstructing a metadata tree of a patient from a metadata tree journal, the metadata tree including a plurality of references to a corresponding plurality of encrypted electronic health records of the patient in an encrypted data store, and validating the metadata tree by comparing first integrity information of the metadata tree to second integrity information corresponding to the metadata tree journal provided by a metadata integrity validator.

Abstract: A method performed by a processing system includes determining a location in a metadata tree of a patient for an electronic health record, generating a record key for the electronic health record based on the location and a provider key corresponding to a provider, the provider key generated from a patient key corresponding to the patient, encrypting the electronic health record using the record key to generate a encrypted record, and providing the encrypted record to an encrypted data store.

Abstract: A method performed by a processing system includes encrypting an electronic health record of a patient using a record key, encrypting a portion of a node of a metadata tree of the patient with a node key, the portion including a reference to the encrypted record in an encrypted data store, and updating the metadata tree for the patient to include the encrypted node and a node key lockbox with the node key.

Abstract: A capacity planning system (100, 200), comprising a memory device (112, 212) storing a number of historical input data files (115, 215), a number of input data configuration files (120, 220), and a number of simulator configuration files (125, 225), a processor (130, 230) communicatively coupled to the memory device (112, 212), a decision policy module (110, 210) communicatively coupled to the processor (130, 230) that creates a number of decision policies based on an environment in which the system (100, 200) is operating and the historical input data files (115, 215), and a simulator (135, 235) that executes the number of decision policies based on the data provided to it by the processor (130, 230) and provides a dynamically evolving model of an environment as a number of resources defined in the number of simulator configuration files (125, 225) move through the environment.

Abstract: Examples of the present disclosure may include methods, systems, and computer readable media with executable instructions. An example method for providing a patient information interface can include accessing patient health record (PHR) information for a particular patient, and referencing medical care guideline information. A medical process associated with the particular patient is determined based on the PHR information and medical care guideline information, and context information associated with the particular patient and/or a healthcare system is received in a medical process-aware manner to a context model implemented on a computing system, including clinical, logistical and operational information. Context aware information is presented, via an output device of the computing system based on the determined medical process and context information.

Abstract: A method of generating a set of composite services is provided herein. The method includes receiving standardized service descriptions of a set of component services from service providers. The standardized description of a component service may be translated to an automaton-based description. A specified goal associated with the set of component services may be received. The set of composite services may be generated based on the automaton-based description and the specified goal. Each of the generated composite services may accomplish the specified goal.

Abstract: A system includes a patient environment in an area, a first accelerometer attached to the first patient environment, a second accelerometer disposed in the area, and a processing system to detect an activity of a patient in the area using vibration data received from the first and the second accelerometers.

Abstract: Systems, methods, and machine-readable and executable instructions are provided for encryption key storage. Encryption key storage may include associating each of a plurality of identifiers with a different one of a plurality of key fragment stores, determining a plurality of indexes, where each of the plurality of indexes is based upon a handle provided by a customer, an authorization token provided by the customer, and a different one of the plurality of identifiers, partitioning an encryption key provided by the customer into a number of encryption key fragments, and distributing the plurality of indexes and the number of encryption key fragments to the plurality of key fragment stores. The handle can be a uniform resource identifier, for instance.

Abstract: A system includes an accelerometer worn by a patient to capture physiological data of the patient and transmit the physiological data and a processing system to receive the physiological data and assess a physical stability of the patient using the physiological data.

Abstract: In one implementation, encrypted data and a virtual machine are stored together as a virtual machine-data image, wherein the virtual machine is configured to EXERT management control over the data based on policies set by an owner of the data. In another implementation, metadata defining or tagging policies for usage of data is associated with the data. Control capabilities of service providers are mapped to the policies, wherein those service provider environments that best satisfy the controls mapped to the policies are identified.

Abstract: A method for controlling resource allocation is provided. The method includes determining a service metric associated with a first application, wherein the first application is associated with one or more virtual machines. The method further includes comparing the service metric to an application specific service level goal associated with the first application and modifying a resource allocation associated with the first application at one or more of the virtual machines.

Abstract: A system includes a patient environment having a first surface and a second surface, an accelerometer mounted to the first surface and configured to capture physiological data of a patient in contact win the second surface, and a connection to transmit the physiological data to a processing system.

Abstract: A resource consumption of a resource compartment for a time interval is predicted. A resource entitlement for the resource compartment for the time interval is determined based on the predicted resource consumption.

Abstract: Offers previously accepted and offers previously made by one or more opposing parties in negotiations inform an assessment of the likelihood that a candidate offer will be accepted by an opponent in a negotiation.

Abstract: Techniques for generating optimized surgery schedules are described in various implementations. In one example implementation, a method that implements the techniques includes receiving a plurality of surgery scheduling requests for surgical procedures to be performed at a surgical facility having a plurality of operating rooms. The method also includes identifying resource constraints associated with the surgery scheduling requests, and identifying an optimization goal for the surgical facility, the optimization goal being defined using weighted optimization parameters. The method also includes generating a proposed surgery schedule for the surgical facility that includes sequencing and operating room assignments for each of the surgical procedures to be performed, the proposed surgery schedule satisfying the resource constraints and being optimized based on the optimization goal for the surgical facility.