Monitoring prescribing patterns using regression and electronic health records
Abstract Background It is beneficial for health care institutions to monitor physician prescribing patterns to ensure that high-quality and cost-effective care is being provided to patients. However, detecting treatment patterns within an institution is challenging, given that medications and condit...
Main Authors: | Daniel Backenroth, Herbert S. Chase, Ying Wei, Carol Friedman |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2017-12-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12911-017-0575-5 |
Similar Items
-
Impact of Electronic Health Record Systems on Prescribing Errors in Pediatric Clinics
by: Brooke L. Gildon, et al.
Published: (2019-04-01) -
Study of electronic prescribing rates and barriers identified among providers using electronic health records in New York City
by: Sam Amirfar, et al.
Published: (2011-05-01) -
Assessing attitudes toward electronic prescribing adoption in primary care: a survey of prescribers and staff
by: Emily Devine, et al.
Published: (2010-09-01) -
Using Clinical Decision Support Within the Electronic Health Record to Reduce Incorrect Prescribing for Acute Sinusitis
by: Regina Ginzburg, et al.
Published: (2018-07-01) -
Evaluating the adoption of electronic prescribing in primary care
by: Randhawa, Gurprit Kaur
Published: (2013)