News | February 24, 2008

Mobile Clinical Assistant Transforming Patient Care Delivery, Studies Say

February 25, 2008 - The C5 mobile clinical assistant (MCA) from Motion Computing is reducing medication errors, enhancing compliance with disinfection control protocols and providing immediate access to patient data, according to studies.
More than 50 vendors at HIMSS 2008 in Orlando, FL are featuring the device.
The features of the C5 reportedly help caregivers improve the delivery of patient care. Clinicians can use the integrated bar-code reader and RFID scanner to positively identify patients and manage medication administration, while the durable, sealed design enables simple cleaning and disinfection. Results from a series of usability studies conducted by Motion, Intel, hospital clients and leading software providers suggest that the C5 can positively impact some issues facing healthcare professionals today. Some recent results include:
- 42 percent improvement in point of care (POC) documentation
- 80 percent reduction in data that needed manual transcription, reducing the potential for human error
- Identification of 15 of 1853 “near misses” at the point of medication administration
- Decreased transcription error rate from 25 percent to seven percent due to increased POC documentation

For more information: www.motioncomputing.com

Related Content

Fujifilm to Host Pediatric Imaging Best Practices Symposium at AHRA 2018
News | Pediatric Imaging | July 18, 2018
Fujifilm Medical Systems U.S.A. Inc. announced that it will offer educational opportunities and exhibit its latest...
Study Points to Need for Performance Standards for EHR Usability and Safety
News | Electronic Medical Records (EMR) | July 18, 2018
A novel new study provides compelling evidence that the design, development and implementation of electronic health...
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...
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