Quantitative Patient-Reported Experience Measures Derived From Natural Language Processing Have a Normal Distribution and No Ceiling Effect.

Journal: Quality management in health care

Published Date: Apr 4, 2022

Abstract

BACKGROUND AND OBJECTIVES: Patient-reported experience measures have the potential to guide improvement in health care delivery. Many patient-reported experience measures are limited by the presence of strong ceiling effects that limit their analytical utility.

Authors

Dayal Rajagopalan

Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin.
Jacob Thomas
David Ring
Amirreza Fatehi

Keywords

Delivery of Health Care Humans Natural Language Processing Normal Distribution Patient Reported Outcome Measures

External Resources

View on PubMed Access via DOI PubMed (35383720)

Quantitative Patient-Reported Experience Measures Derived From Natural Language Processing Have a Normal Distribution and No Ceiling Effect.

Abstract

Authors

Keywords

External Resources

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