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Lab News

Jun June 2021

Check out the interview of Dr. Hernandez-Boussard by Russ Altman for Stanford Engineering’s The Future of Everything podcast, here.

Mar March 2021

We are now hiring postdoctoral fellows and staff to work on a new medical informatics project that will include NLP and machine/deep learning predictive analytics. Contact if if you are interested!

Feb February 09 Tue 2021

Interested in Deploying AI at point of Care? Tune into our overview of Bringing AI into Healthcare Safey and Effectively and register for the Coursera Course

Nov November 05 Thu 2020

Dr. Hernandez-Boussard discusses the application of machine learning and natural language processing (NLP) to Electronic Health Record (EHR) data at an NCI webinar. Check out the YouTube video here.

Jan January 29 Wed 2020

Stanford Strong. Diversity & Inclusion Week 2020 #BoussardLab

Recent Publications

Gaps in standardized postoperative pain management quality measures: A systematic review

The goal of this study was an assessment of availability postoperative pain management quality measures and National Quality Forum–endorsed measures. Postoperative pain is an important clinical timepoint because poor pain control can lead to patient suffering, chronic opiate use, and/or chronic pain. We conducted a systematic literature review to further identify quality measures in research publications, clinical practice guidelines, and gray literature for the period between March 11, 2015 and March 11, 2020. Our systematic review yielded 1,328 publications, of which 206 were pertinent. Nineteen pain management quality measures were identified from the quality measure databases, and 5 were endorsed by National Quality Forum. The National Quality Forum measures were not specific to postoperative pain management. Three of the non-endorsed measures were specific to postoperative pain. Read our paper.

Health management via telemedicine: Learning from the COVID-19 experience

At the onset of the COVID-19 pandemic, telemedicine was rapidly implemented to protect patients and healthcare providers from infection. Telemedicine offers many opportunities to improve care efficiency, accessibility, and patient outcomes, but many challenges exist related to technology interoperability, the digital divide, and usability. We propose that telemedicine evolve to support continuity of care throughout the patient journey, including multidisciplinary care teams and the seamless integration of data into the clinical workflow to support a learning healthcare system. Here, we highlight gaps and opportunities that need to be addressed by the biomedical informatics community to move forward with safe and effective healthcare delivery via telemedicine. Read our paper.