Technology | October 30, 2008

Siemens Provides Decision Support Tools

Siemens now has a works-in progress research portal for clinical research and hypothesis validation, enabling collaborative research in knowledge discovery. The system connects to multiple information systems, extracts data, supports querying of cohorts, implements guidelines, and allows for data mining and algorithm development, including third party application integration. The portal allows researchers to:
- Manage and store research data, including images, genomics, proteomics, and clinical data
- Combine patient data from multiple disparate sources including PACS, hospital information systems, lab systems, institution created databases, and in-house document archives
- Design and execute ad hoc queries and drill down results
- Enable efficient hypothesis generation and testing
- Integrate with third party data analysis and statistical tools
- View unified model of data, including both clinical and research data
- Extract data and report for clinical trials (21 CFR Part 11 compliance)
- Support preclinical research

Siemens is developing a works-in progress solution, focusing on patient identification for clinical trials , based on the award-winning REMIND (Reliable Extraction and Meaningful Inference from Nonstructured Data) Platform . The REMIND platform has been developed to extract, integrate and provide reasoning over structured and unstructured patient data, medical knowledge and other information from various sources, both Siemens and non-Siemens.

These capabilities include high-quality searches in unstructured textual documentation such as history and physicals, radiology reports, surgical reports, discharge summaries, clinical notes, and any dictated reports. This is critical, since the important information for patient identification for clinical trials is often found here.

Patient identification for Clinical Trials can be supported in two scenarios:
1) Patient-Centric: A care-giver (physician or nurse) can use this solution to identify the clinical trials for which any given patient may be eligible during a routine patient visit. This scenario may, in the future, may also be supported in “real-time” – i.e., during the patient visit.
2) Trial-Centric: A research coordinator can use this solution to identify all patients that may be eligible for any given clinical trial.

In prior deployments, REMIND improved clinical trial recruitment by a factor of 5 to 20 times when compared with conventional methods .

Siemens also has a radiology information extraction solution for radiology reports, based on the award-winning REMIND (Reliable Extraction and Meaningful Inference from Non-structured Data) Platform . In conjunction with syngo Workflow, the tool provides automatic form completion and extracts specific elements from text reports to help automate the workflow. The benefits include:

Automated workflow
- Automatically fill out forms; increases legibility and visualization
- Performance improvement – completeness verification
- Provides quality statistics

Improved user experience – quicker workflow (online and offline processing)
- Improved performance
- Reduces errors and flags inconsistencies
- Improves accuracy by learning over time

Related Content

Sponsored Content | Videos | Business | July 28, 2017
Angelic McDonald, MSRS, CRA, FAHRA, regional director of imaging, Baylor Scott & White Health and the president-e
CareSelect Declared Fully Qualified Clinical Decision Support Mechanism by CMS
News | Clinical Decision Support | July 18, 2017
National Decision Support Company announced the full qualification of its CareSelect Platform as a Qualified Clinical...
CMS Proposes Delaying Clinical Decision Support Documentation to 2019
News | Clinical Decision Support | July 14, 2017 | Jeff Zagoudis, Associate Editor
In a series of proposed rule changes to the Medicare Physician Fee Schedule (MPFS) released July 13, the Centers for...
News | Artificial Intelligence | July 07, 2017
July 7, 2017 — Zebra Medical Vision and Telerad Tech, the technology arm of Teleradiology Solutions (TRS), announced
ACR Launches Updated LI-RADS for Liver Imaging
News | Clinical Decision Support | July 06, 2017
July 6, 2017 — Radiologists can improve their consistency of interpreting and reporting...
Sponsored Content | Videos | Clinical Decision Support | June 29, 2017
Rami Doukky, M.D., system chair, Division of Cardiology, professor of medicine, Cook County Health and Hospitals Syst
Fujitsu Develops AI-Based Technology to Retrieve Similar Disease Cases in CT Inspections

Newly developed technology to retrieve similar cases. Image courtesy of Fujitsu.

News | Artificial Intelligence | June 26, 2017
Fujitsu Laboratories Ltd. announced development of a technology to retrieve similar disease cases from a computed...
Siemens Healthineers and Fraunhofer MEVIS Announce Research Alliance on Clinical Decision Support
News | Clinical Decision Support | May 31, 2017
Siemens Healthineers and the Fraunhofer Institute for Medical Image Computing MEVIS announced the formation of a new...
ACR Highlights Initial Results of R-SCAN Program at 2017 Annual Meeting
News | Clinical Decision Support | May 22, 2017
The American College of Radiology (ACR) announced a series of sessions at the 2017 Annual Meeting that will highlight...
Partners HealthCare and GE Healthcare Launch 10-Year Collaboration on Artificial Intelligence
News | Artificial Intelligence | May 17, 2017
Partners HealthCare and GE Healthcare announced a 10-year collaboration to rapidly develop, validate and strategically...
Overlay Init