
Finding Dental Harm to Patients through Electronic Health Record–Based Triggers
Author(s) -
Muhammad F. Walji,
Alfa Yansane,
Nutan B. Hebballi,
Ana Ibarra-Noriega,
Krishna Kumar Kookal,
Sayali Tungare,
Karla S. Kent,
R. McPharlin,
Veronique F. Delattre,
Enihomo ObadanUdoh,
Oluwabunmi Tokede,
Joel M. White,
Elsbeth Kalenderian
Publication year - 2019
Publication title -
jdr clinical and translational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.86
H-Index - 12
eISSN - 2380-0852
pISSN - 2380-0844
DOI - 10.1177/2380084419892550
Subject(s) - harm , medicine , medical emergency , electronic health record , health records , health care , family medicine , psychology , social psychology , economics , economic growth
Patients may be inadvertently harmed while undergoing dental treatments. To improve care, we must first determine the types and frequency of harms that patients experience, but identifying cases of harm is not always straightforward for dental practices. Mining data from electronic health records is a promising means of efficiently detecting possible adverse events (AEs).