Technology | April 09, 2009

Initiate Offers Connectivity Between Disparate Cardiac, Radiology PACS, Data Storage Systems

April 9, 2009 - A fundamental issue facing healthcare worldwide is tying fragmented information and data silos together to increase intelligence, and Initiate Interoperable Health solutions showcased its vendor-neutral “middleware” to bridge disparate data during HIMSS 2009 in Chicago this week.

The company says it can help connect multiple PACS silos that do not interoperate by supplying a software layer above these silos to extract data and images, which can be shared enterprise-wide.

The software can be used to achieve a system-wide view of patient data, regardless of the use of several data systems from different departments and vendors. It can provide a single source for patient demographic information including contact, payer source and primary care physician for use by clinical and administrative information systems. Initiate also can help pave the way to integrate with regional health information organizations (RHIOs).

An example of how Initiate helped customers’ processes includes a large integrated delivery system that had a 3 percent error rate when trying to post ECG information to the correct patient file. Initiate’s solutions were used to create a master patient index that virtually eliminated errors during the critical data exchange process. Another institution was unable to effectively comply with Joint Commission standards for tracking provider privileges and credentialing. Initiate’s technology now provides a single, reliable view of information on 63,000 providers affiliated with the facility. A healthcare system’s nursing staff was wasting hours hunting for information to prepare patients for the OR. Initiate provided a foundation for an interoperable platform that has delivered an 82 percent reduction in the time it takes OR nurses to gather patient information, and a 50 percent increase in the number of patients fully prepped on schedule.

Initiate Interoperable Health supports increased productivity by addressing data quality issues like duplicate records and the costs associated with redundant testing, lost referrals and missing clinical results. Clinicians can spend more time with patients and less time hunting and gathering information about a patient.

For more information: visit www.InitiateSystems.com

Related Content

Guerbet, IBM Watson Health Partner on Artificial Intelligence for Liver Imaging
News | Clinical Decision Support | July 10, 2018
Guerbet announced it has signed an exclusive joint development agreement with IBM Watson Health to develop an...
Sponsored Content | Whitepapers | PACS | July 09, 2018
The move toward value-based reimbursement (VBR) models is putting pressure on healthcare organizations to modernize...
Sponsored Content | Case Study | PACS | July 09, 2018
One of the Northeast’s major teaching hospitals is an international leader in virtually every area of medicine. It has...
FDA Clears Bay Labs' EchoMD AutoEF Software for AI Echo Analysis
Technology | Cardiovascular Ultrasound | June 19, 2018
Cardiovascular imaging artificial intelligence (AI) company Bay Labs announced its EchoMD AutoEF software received 510(...
News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Wake Radiology Launches First Installation of EnvoyAI Platform
News | Artificial Intelligence | June 13, 2018
Artificial intelligence (AI) platform provider EnvoyAI recently completed their first successful customer installation...
How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.

News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
Zebra Medical Vision Unveils AI-Based Chest X-ray Research
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a future
Konica Minolta Launches AeroRemote Insights for Digital Radiography
Technology | Analytics Software | June 07, 2018
Konica Minolta Healthcare Americas Inc. announced the release of AeroRemote Insights, a cloud-based, business...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue medi
Overlay Init