Applying multiple methods to assess the readability of a large corpus of medical documents.
Medical documents provided to patients at the end of an episode of care, such as discharge summaries and referral letters, serve as an important vehicle to convey critical information to patients and families. Increasingly, healthcare institutions are also experimenting with granting patients direct electronic access to other types of clinical narratives that are not typically shared unless explicitly requested, such as progress notes. While these efforts have great potential to improve information transparency, their value can be severely diminished if patients are unable to read and thus unable to properly interpret the medical documents shared to them. In this study, we approached the problem by contrasting the 'readability' of two types of medical documents: referral letters vs. other genres of narrative clinician notes not explicitly intended for direct viewing by patients. To establish a baseline for comparison, we also computed readability scores of MedlinePlus articles - exemplars of fine patient education materials carefully crafted for lay audiences. We quantified document readability using four different measures. Differences in the results obtained through these measures are also discussed.
School of Information, University of Michigan, Ann Arbor, MI, USA.
Danny T Y
DT
Wu
David A
DA
Hanauer
Qiaozhu
Q
Mei
Patricia M
PM
Clark
Lawrence C
LC
An
Jianbo
J
Lei
Joshua
J
Proulx
Qing
Q
Zeng-Treitler
Kai
K
Zheng
D001185:Artificial Intelligence; D032882:Comprehension; D004282:Documentation / Q000379:methods*; D006801:Humans; D016239:MEDLINE; D049293:MedlinePlus; D009323:Natural Language Processing; D011932:Reading; D018875:Vocabulary, Controlled