Access the full text.
Sign up today, get DeepDyve free for 14 days.
[Patient and family engagement has become particularly important with the development of new models of delivering health care. Many new incentive programs rely on clinical quality measure to gauge patient engagement and outcome. Advances in various forms of health information technology allow for the collection of data that can be analyzed and provided to clinicians and healthcare systems for measurement of care coordination; federal, state, and local governments and private payers for oversight and payment; and most importantly patients, families, and caregivers for healthcare decision-making. Several mechanisms are used to collect information for quality measures such as medical record abstraction, claims, electronic health records, clinical data registries, smartphones, personal fitness devices, and other emerging means of collecting information. Regardless of how collected, clinicians are critical to generating the required data for promoting transparency for patients and families in value-based care.]
Published: Oct 16, 2019
Keywords: Clinical quality measures; Meaningful measurement framework; Claims data; Clinical data registries; Quality measures; Electronic clinical quality measures; Quality measurement
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.