Researchers: Alessandro Febretti, Andrew Johnson, Yu-Chung Chen, Gail M. Keenan and Diana Wilke (University of Florida College of Nursing); Karen Dunn Lopez (UIC College of Nursing)

URL: http://www.healthteamiq.com/Default.aspx

The Hands-on Automated Nursing Data System (HANDS) is a standardized plan of care method in which the patient’s plan is updated at every nurse hand-off allowing the interdisciplinary team to track the story about care and progress toward desired outcomes in a standardized format across time and units.

EVL is collaborating with UIC’s College of Nursing and College of Engineering on the visual component of the HANDS system. Current goals include:

• Improving the original HANDS user interface for more potential users such as doctors and therapists
• investigating and understanding the needs of prospective users, and adding additional functionality to HANDS to address the needs of those users
• Adding visualization to HANDS existing reports in an effort to empower current and future users to do more data exploration and visual analytics

Email: aej@evl.uic.edu

Date: September 18, 2009 - May 31, 2015

Related Entries

Directory:

• Andrew Johnson
• Alessandro Febretti
• Yu-Chung Chen

Events:

• Changing Dynamics of Scientific Collaboration at HICSS 2011

Papers:

• Toward meaningful care plan clinical decision support: Feasibility and effects of a simulated pilot study
• Acceptability of clinical decision support prototypes for a nursing electronic health record to facilitate palliative care outcomes.
• Outcomes for End-of-Life Patients with Anticipatory Grieving: Insights from Practice with Standardized Nursing Terminologies within an Interoperable Internet-based Electronic Health Record
• Toward a More Robust and Efficient Usability Testing Method of Clinical Decision Support for Nurses Derived from Nursing Electronic Health Record Data
• Use of Simulation to Study Nurses’ Acceptance and Nonacceptance of Clinical Decision Support Suggestions
• View more…

Related Categories

• Applications
• User Groups
• Virtual Medicine
• Visualization