Toward the Measure of Credibility of Hospital Administrative Datasets in the Context of DRG Classification-Reference-Cited by-同舟云学术

Toward the Measure of Credibility of Hospital Administrative Datasets in the Context of DRG Classification

Published:2019 Issue: Volume: Page:289-296
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Pimenta Diana^ORCID,Souza Julio^ORCID,Caballero Ismael^ORCID,Freitas Alberto^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-29238-6_21

Reference21 articles.

1. Aiello, F.A., Roddy, S.P.: Inpatient coding and the diagnosis-related groups. J. Vasc. Surg. 66(5), 1621–1623 (2017)

2. Mathauer, I., Wittenbecher, F.: Hospital payment systems based on diagnosis-related groups: experiences in low- and middle-income countries. Bull. World Health Organ. 91(10), 746–756 (2013)

3. Cheng, P., Gilchrist, A., Robinson, K.M., Paul, L.: The risk and consequences of clinical miscoding due to inadequate medical documentation: a case study of the impact on health services funding. Health Inf. Manag. J. 38, 35–46 (2009)

4. Agrupador de GDH All Patient Refined DRG. http://www2.acss.min-saude.pt/Portals/0/CN22.pdf . Accessed 22 May 2019

5. All Patient Refined Diagnosis Related Groups Methodology Overview 3M Health Information Systems. https://www.hcup-us.ahrq.gov/db/nation/nis/grp031_aprdrg_meth_ovrview.pdf . Accessed 22 May 2019

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