Papers
TL;DR: There are a number of scientific and operational issues that must be addressed before BYOD can be routinely considered as a practical alternative to conventional ePRO data collection methods, but the future for e PRO data collection is bright and the promise of BYOD opens a new chapter in its evolution.
Abstract: Patient-reported outcomes (PROs) are an important means of evaluating the treatment benefit of new medical products. It is recognized that PRO measures should be used when assessing concepts best known by the patient or best measured from the patient’s perspective. As a result, there is growing emphasis on well defined and reliable PRO measures. In addition, advances in technology have significantly increased electronic PRO (ePRO) data collection capabilities and options in clinical trials. The movement from paper-based to ePRO data capture has enhanced the integrity and accuracy of clinical trial data and is encouraged by regulators. A primary distinction in the types of ePRO platforms is between telephone-based interactive voice response systems and screen-based systems. Handheld touchscreen-based devices have become the mainstay for remote (i.e., off-site, unsupervised) PRO data collection in clinical trials. The conventional approach is to provide study subjects with a handheld device with a device-based proprietary software program. However, an emerging alternative for clinical trials is called bring your own device (BYOD). Leveraging study subjects’ own Internet-enabled mobile devices for remote PRO data collection (via a downloadable app or a Web-based data collection portal) has become possible due to the widespread use of personal smartphones and tablets. However, there are a number of scientific and operational issues that must be addressed before BYOD can be routinely considered as a practical alternative to conventional ePRO data collection methods. Nevertheless, the future for ePRO data collection is bright and the promise of BYOD opens a new chapter in its evolution.
187 citations
Patent•
25 Mar 2013TL;DR: In this paper, the authors propose a replication and recovery for a protected private cloud infrastructure that may include hosts, virtual machines (VMs) provisioned on the hosts, storage arrays and a management server.
Abstract: Replication and recovery for a protected private cloud infrastructure that may include hosts, virtual machines (VMs) provisioned on the hosts, storage arrays and a management server. Metadata is periodically captured and made accessible to a recovery site. Upon a recovery event, replication of storage arrays is halted, and a number of target machines corresponding to the management server and the hosts to be recovered are assigned. The assigned management server and hosts are then bare provisioned by installing operating systems or hypervisors as specified by the metadata. Only then are recovery target machines connected to the replicated storage arrays so that virtual machines can be activated.
90 citations
Patent•
2 Feb 2012TL;DR: In this paper, a computer system may be configured to deploy software to multiple target machines, based on a request, and a controller may select a target machine and an installation job.
Abstract: A computer system may be configured to deploy software to multiple target machines. A controller, based on a request, may select a target machine and an installation job. The controller may be configured to determine a machine location of the target machine. Based on the machine location, the installation job may be routed to a run queue. The run queue may comprise a set of dedicated workers that may service the installation job.
52 citations
Patent•
27 Oct 2011TL;DR: In this article, the authors propose a recover-to-cloud (R2C) service that replicates a customer production environment to virtual data centers (VDCs) operated in a cloud service provider environment.
Abstract: A recover to cloud (R2C) service replicates a customer production environment to virtual data centers (VDCs) operated in a cloud service provider environment. Customers provision both a disaster recovery VDC and a test VDC. At A Time of Disaster (ATOD), the disaster VDC is made available to the customer through the cloud. The disaster VDC is allocated a first set of resources dedicated to the specific customer and to disaster recovery. The test VDC, brought on line at A Time of Test (ATOT), is allocated resources from second set of resources arranged in a shared pool, separate from the first set. Provisioning of the test VDC does not disturb critical resource assignments needed in the event of a disaster.
48 citations
Patent•
19 Jan 2012TL;DR: In this article, the authors describe a configuration management system (or CMS) that assists human operators with administering infrastructure elements in a data center, where configuration state information is collected and stored as a hierarchical set of features and feature attributes.
Abstract: A Configuration Management System (or CMS) assists human operators with administering infrastructure elements in a data center. Configuration state information is collected and stored as a hierarchical set of features and feature attributes. The CMS save a configuration snapshot immediately before a change is implemented and immediately after a change. Comparing the pre-change and post-change configuration states, the CMS can automatically identify potential configuration errors and help better manage the consequences of implementing a change.
37 citations
Authors
Showing all 42 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Chandra Reddy | 6 | 11 | 163 |
| Christopher T. Sears | 4 | 5 | 68 |
| Satish K. Hemachandran | 3 | 3 | 32 |
| Jeffrey S. McGovern | 3 | 3 | 17 |
| Ognian S. Mitzev | 3 | 3 | 146 |
| Emmanuel S. Levijarvi | 3 | 3 | 147 |
| Jerry W. Childers | 2 | 2 | 17 |
| Amol P. Gokhale | 2 | 2 | 6 |
| Buck Francis | 1 | 1 | 3 |
| Jose Maldonado | 1 | 1 | 3 |
| Kaushik Ray | 1 | 2 | 2 |
| Karl Pratt | 1 | 1 | 27 |
| Steven Jones | 1 | 1 | 3 |
| Cohen Gary | 1 | 1 | 3 |
| Rajagopalan Subrahmanian | 1 | 1 | 4 |
Related Institutes (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 2 |
| 2020 | 1 |
| 2019 | 2 |
| 2016 | 2 |
| 2015 | 2 |
| 2013 | 7 |