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Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide

OBJECTIVE: To evaluate the readiness and timeliness of ED data submitted by hospitals following PHIN syndromic surveillance messaging guide and to evaluate the availability of minimum data elements. To validate the accuracy and completeness of data from ADT messages compared with data currently repo...

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Autores principales: Chang, Hwa-Gan, Weng, Charlene, DiDonato, Charlie, DiCesare, Dave, Chen, Jian-Hua, Blog, Debra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2013
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692896/
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author Chang, Hwa-Gan
Weng, Charlene
DiDonato, Charlie
DiCesare, Dave
Chen, Jian-Hua
Blog, Debra
author_facet Chang, Hwa-Gan
Weng, Charlene
DiDonato, Charlie
DiCesare, Dave
Chen, Jian-Hua
Blog, Debra
author_sort Chang, Hwa-Gan
collection PubMed
description OBJECTIVE: To evaluate the readiness and timeliness of ED data submitted by hospitals following PHIN syndromic surveillance messaging guide and to evaluate the availability of minimum data elements. To validate the accuracy and completeness of data from ADT messages compared with data currently reported to the NY syndromic surveillance system. INTRODUCTION: The final rules released by the Centers for Medicare and Medicaid Services specified the initial criteria for eligible hospitals to qualify for an incentive payment by demonstrating meaningful use of certified Electronic Health Record (EHR) technology. Syndromic surveillance reporting is one of three public health objectives that eligible hospitals can choose for stage 1. The PHIN messaging guide for syndromic surveillance was published for hospitals to construct emergency department data using Admit Discharge Transfer (ADT) messages, with the minimum dataset that is standard among hospitals and public health agencies. Currently New York hospitals are reporting emergency department (ED) visit data to the NY syndromic surveillance (SS) system. Patient chief complaint data are monitored for trends of illness at the community level in order to detect possible outbreaks and situational awareness. METHODS: 12 hospitals using three EHR certified vendors pilot tested syndromic surveillance data for MU. Hospitals started to transmit ED data in HL7 v 2.5.1 to the NY pre-certification server beginning October 2011. The month of data from July 2012 was evaluated for availability by data elements listed in the implementation guide. The ADT message types were analyzed and the timeliness of reporting was calculated from visit date to report date of the first message type. The data from the pre-certification server was matched against data from the production SS system by medical record number and visit date to evaluate the data content. RESULTS: There were 5 hospitals from vendor A, 3 from vendor B and 4 from vendor C participating in the pilot testing; 5854, 9882, and 13316 ED visits were reported from the three vendors respectively for the month of July. The type of first message by vendor is shown in Table 1. The availability of data elements is listed in Table 2. There were 79%, 82%, and 87% ED visit records received within 24 hours for vendor A, B, and C respectively. One hospital from vendor A, 3 hospitals from vendor B and 4 hospitals from vendor C also reported ED data to the production system, and their comparison with pilot testing data is shown in Table 3. CONCLUSIONS: The types of ADT messages first reported varied by vendor and hospital. Not all data elements specified in the implementation guide were available or complete, and varied by vendor. An average 83% of first messages were received within 24 hours and the chief complaint from ADT messages did not match well with the current ED system in production. It is a very time consuming and resource demanding process to move a hospital from successful attestation stage to production and requires public health, EHR vendor, and hospital IT to work together. The learning experience from these three vendors in implementing syndromic surveillance for MU will help public health and EHR vendors to prepare for stage 2.
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spelling pubmed-36928962013-06-26 Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide Chang, Hwa-Gan Weng, Charlene DiDonato, Charlie DiCesare, Dave Chen, Jian-Hua Blog, Debra Online J Public Health Inform ISDS 2012 Conference Abstracts OBJECTIVE: To evaluate the readiness and timeliness of ED data submitted by hospitals following PHIN syndromic surveillance messaging guide and to evaluate the availability of minimum data elements. To validate the accuracy and completeness of data from ADT messages compared with data currently reported to the NY syndromic surveillance system. INTRODUCTION: The final rules released by the Centers for Medicare and Medicaid Services specified the initial criteria for eligible hospitals to qualify for an incentive payment by demonstrating meaningful use of certified Electronic Health Record (EHR) technology. Syndromic surveillance reporting is one of three public health objectives that eligible hospitals can choose for stage 1. The PHIN messaging guide for syndromic surveillance was published for hospitals to construct emergency department data using Admit Discharge Transfer (ADT) messages, with the minimum dataset that is standard among hospitals and public health agencies. Currently New York hospitals are reporting emergency department (ED) visit data to the NY syndromic surveillance (SS) system. Patient chief complaint data are monitored for trends of illness at the community level in order to detect possible outbreaks and situational awareness. METHODS: 12 hospitals using three EHR certified vendors pilot tested syndromic surveillance data for MU. Hospitals started to transmit ED data in HL7 v 2.5.1 to the NY pre-certification server beginning October 2011. The month of data from July 2012 was evaluated for availability by data elements listed in the implementation guide. The ADT message types were analyzed and the timeliness of reporting was calculated from visit date to report date of the first message type. The data from the pre-certification server was matched against data from the production SS system by medical record number and visit date to evaluate the data content. RESULTS: There were 5 hospitals from vendor A, 3 from vendor B and 4 from vendor C participating in the pilot testing; 5854, 9882, and 13316 ED visits were reported from the three vendors respectively for the month of July. The type of first message by vendor is shown in Table 1. The availability of data elements is listed in Table 2. There were 79%, 82%, and 87% ED visit records received within 24 hours for vendor A, B, and C respectively. One hospital from vendor A, 3 hospitals from vendor B and 4 hospitals from vendor C also reported ED data to the production system, and their comparison with pilot testing data is shown in Table 3. CONCLUSIONS: The types of ADT messages first reported varied by vendor and hospital. Not all data elements specified in the implementation guide were available or complete, and varied by vendor. An average 83% of first messages were received within 24 hours and the chief complaint from ADT messages did not match well with the current ED system in production. It is a very time consuming and resource demanding process to move a hospital from successful attestation stage to production and requires public health, EHR vendor, and hospital IT to work together. The learning experience from these three vendors in implementing syndromic surveillance for MU will help public health and EHR vendors to prepare for stage 2. University of Illinois at Chicago Library 2013-04-04 /pmc/articles/PMC3692896/ Text en ©2013 the author(s) http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/ojphi/about/submissions#copyrightNotice This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
spellingShingle ISDS 2012 Conference Abstracts
Chang, Hwa-Gan
Weng, Charlene
DiDonato, Charlie
DiCesare, Dave
Chen, Jian-Hua
Blog, Debra
Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide
title Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide
title_full Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide
title_fullStr Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide
title_full_unstemmed Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide
title_short Evaluation of Emergency Department Data Quality following PHIN Syndromic Surveillance Messaging Guide
title_sort evaluation of emergency department data quality following phin syndromic surveillance messaging guide
topic ISDS 2012 Conference Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692896/
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