REQUEST DEMO
MENUCLOSE

 

REQUEST DEMO
Clinical Operations
Commercial Teams
Resources
Medical Education
About Us
Connect with us
Facebook-f Twitter Linkedin-in
Sign in

MANUSCRIPT: Making Sense of MOOCs: Musings in a Maze of Myth, Paradox and Possibility

During my time as a Fellow at the Korea National Open University (KNOU) in September 2012 media and web coverage of Massive Open Online Courses (MOOCs) was intense. Since one of the requirements of the fellowship was a research paper, exploring the phenomenon of MOOCs seemed an appropriate topic. This essay had to
Continue Reading

MANUSCRIPT: Automated Detection of Adverse Events Using Natural Language Processing of Discharge Summaries

A b s t r a c t Objective:  To determine whether natural language processing (NLP) can effectively detect adverse events defined in the New York Patient Occurrence Reporting and Tracking System (NYPORTS) using discharge summaries. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1174890/pdf/448.pdf
Continue Reading

MANUSCRIPT: Large-scale evaluation of automated clinical note de-identification and its impact on information extraction

ABSTRACT Objective (1) To evaluate a state-of-the-art natural language processing (NLP)-based approach to automatically de-identify a large set of diverse clinical notes. (2) To measure the impact of de-identification on the performance of information extraction algorithms on the de-identified documents. http://jamia.bmj.com/content/20/1/84.full.pdf html
Continue Reading

MANUSCRIPT: eQuality for All: Extending Automated Quality Measurement of Free Text Clinical Narratives

Introduction: Electronic quality monitoring (eQuality) from clinical narratives may advance current manual quality measurement techniques. We evaluated automated eQuality measurement tools on clinical narratives of veterans’ disability examinations. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656015/pdf/amia-0071-s2008.pdf
Continue Reading

MANUSCRIPT: Mapping Physician Networks with Self- Reported and Administrative Data

Objective: To assess whether connections between physicians based on shared patients in administrative data correspond with professional relationships between physicians. Data Sources/Study Setting: Survey of physicians affiliated with a large academic and community physicians’ organization and 2006 Medicare data from a 100 percent sample of patients in the Boston Hospital referral region. http://humannaturelab.net/wp-content/themes/human-nature-lab/media/pdf/publications/articles/122.pdf
Continue Reading
Social
Facebook-f Twitter Linkedin-in
Recent News
Contact Us

300 E Main Street, Suite 101 Charlottesville, VA 22902

+1-434-260-1850

Email Us

About Us

ArcheMedX helps life sciences and healthcare organizations to better equip, evaluate, and predict team and clinician performance

ArcheMedX Privacy Policy