Goto

Collaborating Authors

 health catalyst proprietary


Machine Learning Tools Unlock the Most Critical Insights from Unstruc…

#artificialintelligence

Feel free to share but we would appreciate a Health Catalyst citation. Prof, Dept of Family Medicine, Indiana University School of Medicine This report is based on a 2018 Healthcare Analytics Summit presentation given by Shaun Grannis, MD, MS, FAAFP, FACMI, Director Regenstrief Center for Biomedical Informatics; Assoc. Prof, Dept of Family Medicine, Indiana University School of Medicine, entitled "Real-World Examples of Leveraging NLP, Big Data, and Data Science to Improve Population Health and Individual Care Outcomes." Feel free to share but we would appreciate a Health Catalyst citation. Many healthcare leaders operate on the premise that health system caregivers and stakeholders are more effective and better at what they do with the aid of thoughtful IT. This concept drives data analytics and technology integration in healthcare. But what does thoughtful IT mean? Thoughtful IT occurs when health systems use the right technology to lead to accurate data to deliver better patient care and improve outcomes. Feel free to share but we would appreciate a Health Catalyst citation.


Improving Patient Safety: Machine Learning Targets an Urgent Concern

#artificialintelligence

Feel free to share but we would appreciate a Health Catalyst citation. Improving Patient Safety Patient harm is a persistent and urgent healthcare concern that directly impacts the patient experience and overall outcomes. According to recent estimates, one in three hospitalized patients experiences preventable harm, and over 400,000 individuals per year die from these injuries. Feel free to share but we would appreciate a Health Catalyst citation. Improving Patient Safety As health systems seek ways to improve patient safety, many organizations are looking to patient harm risk assessment tools that leverage machine learning.