Toward robust information: data quality and inter-rater reliability in the American College of Surgeons National Surgical Quality Improvement Program.

By M. Shiloach, S. Frencher, Janet E Steeger, Katherine S Rowell, Kristine Bartzokis, M. G. Tomeh, K. Richards, C. Ko, B. Hall. Journal of the American College of Surgeons, 2010

1,280 citations recorded by the source corpus.

Subfields: General Health Professions, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5081d01dac4ba5ae268ddacf3005a707a4f035db

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. K. Bilimoria
2. Yaoming Liu
3. C. Ko
4. J. Paruch
5. T. Kmiecik
6. Mark E. Cohen
7. Lynn Zhou
8. M. Shipe

Citations in the corpus

• Development and Evaluation of the Universal ACS NSQIP Surgical Risk Calculator: A Decision Aide and Informed Consent Tool for Patients and Surgeons (2013, methodology): “Data are collected by trained and audited surgical clinical reviewers (SCR) at each individual hospital using data definitions that are standardized across all hospitals.(11) Thirty-day outcomes are ascertained from the medical record or patients are contacted after discharge.”