About: Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data
Creator	Lin, Zhenqiu Wang, Yongfei Bernheim, Susannah Krumholz, Harlan Schwartz, Jennifer Herrin, Jeph Lama, Sonam Li, Shu-Xia Mei, Hao Spivack, Steven Suter, Lisa
Source	Medline; PMC
abstract	BACKGROUND: To estimate, prior to finalization of claims, the national monthly numbers of admissions and rates of 30-day readmissions and post-discharge observation-stays for Medicare fee-for-service beneficiaries hospitalized with acute myocardial infarction (AMI), heart failure (HF), or pneumonia. METHODS: The centers for Medicare & Medicaid Services (CMS) Integrated Data Repository, including the Medicare beneficiary enrollment database, was accessed in June 2015, February 2017, and February 2018. We evaluated patterns of delay in Medicare claims accrual, and used incomplete, non-final claims data to develop and validate models for real-time estimation of admissions, readmissions, and observation stays. RESULTS: These real-time reporting models accurately estimate, within 2 months from admission, the monthly numbers of admissions, 30-day readmission and observation-stay rates for patients with AMI, HF, or pneumonia. CONCLUSIONS: This work will allow CMS to track the impact of policy decisions in real time and enable hospitals to better monitor their performance nationally.
has issue date	2020-08-10(xsd:dateTime)
bibo:doi	10.1186/s12913-020-05611-w
bibo:pmid	32778098
has license	cc-by
sha1sum (hex)	52ff92b85ed19d86ed281b0ad20178f6d07a3203
schema:url	https://doi.org/10.1186/s12913-020-05611-w
resource representing a document's title	Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data
has PubMed Central identifier	PMC7416804
has PubMed identifier	32778098
schema:publication	BMC Health Serv Res
resource representing a document's body	covid:52ff92b85ed19d86ed281b0ad20178f6d07a3203#body_text
is schema:about of	named entity 'February' named entity 'accrual' named entity 'pneumonia' named entity 'DAY' named entity 'HEART FAILURE' named entity 'INCLUDING' named entity '2015' named entity 'readmissions' named entity 'CMS' named entity 'National' named entity 'Medicare' named entity 'AMI' named entity 'Medicare' named entity 'readmissions' named entity 'medicare' named entity 'fee-for-service' named entity 'Validation Dataset' named entity 'pneumonia' named entity 'Heart failure' named entity 'heart failure' named entity 'predictive models' named entity 'gold standard' named entity 'pneumonia' named entity 'ARIMA' named entity 'ARIMA' named entity 'inclusion and exclusion criteria' named entity 'AMI' named entity '95%' named entity 'coronavirus pandemic' named entity 'data sources' named entity 'Training Dataset' named entity 'historical data' named entity 'pneumonia' named entity 'clinical care' named entity 'pneumonia' named entity 'IDR' named entity 'time-series' named entity 'Medicare' named entity 'data warehouse' named entity 'algorithm' named entity 'durable medical equipment' named entity 'model selection' named entity 'trumpet' named entity 'AMI' named entity 'trumpet' named entity 'AMI' named entity 'time series' named entity 'ARIMA' named entity 'DME' named entity 'pneumonia' named entity 'root mean square error' named entity 'acute myocardial infarction' named entity 'AMI' named entity 'pneumonia' named entity 'predictive models' named entity 'IDR' named entity 'AMI' named entity 'ARIMA' named entity 'Hospital Readmission' named entity 'error terms' named entity 'ARIMA' named entity 'dependent variable' named entity 'estimated values' named entity 'predictive models' named entity 'AMI' named entity 'ICD-10-CM' named entity 'pneumonia' named entity 'confidence intervals' named entity 'AMI' named entity 'ICD-9-CM' named entity 'pneumonia'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software