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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Health Information Technology

2019

Other

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Engagement Of Patients With Scleroderma To Revise An Internet Self-Management Program, Janet L. Poole, Sharon L. Newbill, Jennifer Serrano, Dana Rosson, Josephine Battyany, Laura Dyas, Luke Evnin, Dennis W. Raisch, Cynthia Maxwell, Mary Alore, Saville Kellner, Pedro Cuencas, Richard M. Silver, Dinesh Khanna Jul 2019

Engagement Of Patients With Scleroderma To Revise An Internet Self-Management Program, Janet L. Poole, Sharon L. Newbill, Jennifer Serrano, Dana Rosson, Josephine Battyany, Laura Dyas, Luke Evnin, Dennis W. Raisch, Cynthia Maxwell, Mary Alore, Saville Kellner, Pedro Cuencas, Richard M. Silver, Dinesh Khanna

Patient Experience Journal

Systemic sclerosis (SSc) or scleroderma is a rare connective tissue disease. Many people do not have access to education programs. A self-management program was developed several years ago based on the literature and input from people with SSc. However, new therapies and treatment options have been developed since the program was developed. The purpose of this qualitative study was to identify and remedy gaps in an internet SSc self-management program to improve the quality of critical information relevant to effective management of the disease. Six focus groups with 30 participants with SSc were conducted: 2 telephone groups and 4 face-to-face …


Beneath The Surface Of Talking About Physicians: A Statistical Model Of Language For Patient Experience Comments, Taylor Turpen, Lea Matthews Md, Senem Guney Phd, Cpxp Jul 2019

Beneath The Surface Of Talking About Physicians: A Statistical Model Of Language For Patient Experience Comments, Taylor Turpen, Lea Matthews Md, Senem Guney Phd, Cpxp

Patient Experience Journal

This study applies natural language processing (NLP) techniques to patient experience comments. Our goal was to examine the language describing care experiences with two groups of physicians: those with scores in the top 100 and those with scores in the bottom 100 among all physicians (n=498) who received scores from patient satisfaction surveys. Our analysis showed a statistically significant difference in the language used to describe care experiences with these two distinct groups of physicians. This analysis illustrates how to apply NLP techniques in categorizing and building a statistical model for language use in order to identify meaningful language and …