News
CRICO Grants
Robot helps nurses schedule tasks on labor floor
Jul 13, 2016
“The aim of the work was to develop artificial intelligence that can learn from people about how the labor and delivery unit works, so that robots can better anticipate how to be helpful or when to stay out of the way — and maybe even help by collaborating in making challenging decisions,” says MIT professor Julie Shah, the senior author on the study, which took place at Beth Israel Deaconess Medical Center in Boston.
Citation for the Full-text Article
Conner-Simons A., Robot helps nurses schedule tasks on labor floor. MIT News. July 13, 2016.
Related CRICO Link
Robotic Assistance in Coordination of Patient Care.
Latest News from CRICO
Get all your medmal and patient safety news here.
Effects of Poor Communication in Healthcare
News
Exploring the effects of poor communication in health care, this HIPAA Journal article, published December 23, 2023, cites data from CRICO’s med mal database.
Assessing the Impact of Hospital Mergers and Acquisitions on Safety Culture with Proactive Risk Assessments
News
Hospitals seeking to understand patient safety strengths and vulnerabilities in the context of mergers/acquisitions benefit more from a third-party perspective than from a limited internal process. CRICO’s Risk Assessment Unit has access to a rich body of work to help articulate identified factors and by which to frame improvement recommendations.
Postpartum Malpractice Claims: Can We Understand Preventable Harms and Socioeconomic Factors?
News
Candello Member
In a multifactorial study, The Doctors Company (a Candello member organization) investigated postpartum claims to develop clinical recommendations to decrease the risks of postpartum morbidity and mortality.
How Does Work Environment Relate to Diagnostic Quality? A Prospective, Mixed Methods Study in Primary Care
News
CRICO Grants
The aim of this CRICO-funded study was to develop a tool assessing key elements of the diagnostic assessment process and apply it to a series of diagnostic encounters examining clinical notes and the encounters’ recorded transcripts.