Health Information Systems Architecture Glen Echo Interactive Workshop
Dec 09, 2019 04:15 PM - 05:30 PM(America/New_York)
20191209T1615 20191209T1730 America/New_York Decoding the HL7 Soup: Using NextGen Connect for Data Exchange between Electronic Medical Records and a Laboratory Information System

The use of technology has the ability to improve the quality and efficiency of health care by rapidly providing health care providers with the information they need to effectively manage their patients. One crucial source of information for health providers is laboratory results. As more low- and middle-income countries adopt digital technology for their medical records systems, laboratory information is often left behind. The common practice is that laboratory requests are printed and mailed to the lab and then lab results are entered in the medical records system when they are mailed back to the clinic, which results in a significant lag. Automatic data exchange between the electronic medical record (EMR) system and the laboratory information system (LIS) can enable the timely submission of lab results. When two systems do not use the same data standard for the content of their data, an interoperability services layer is needed to translate the data that are exchanged between the two systems, so that the systems can accurately interpret the data. Health Level 7 (HL7) is a common messaging standard used in health care settings. Some health information system applications can generate HL7 messages while others do not yet have this capability. The presenters in this session will demonstrate a use-case, developed under the USAID-funded MEASURE Evaluation project, for how the NextGen Connect integration engine can serve as the interoperability services layer to exchange data between an HL7-enabled LIS and an EMR system that uses a relational database to store its patient-level data. NextGen Connect is an open-source integration engine that can be customized using transaction-based channels. The prototype that will be demonstrated can be adapted to suit the context where ...

Glen Echo 2019 Global Digital Health Forum gdhf2019@dryfta.org
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The use of technology has the ability to improve the quality and efficiency of health care by rapidly providing health care providers with the information they need to effectively manage their patients. One crucial source of information for health providers is laboratory results. As more low- and middle-income countries adopt digital technology for their medical records systems, laboratory information is often left behind. The common practice is that laboratory requests are printed and mailed to the lab and then lab results are entered in the medical records system when they are mailed back to the clinic, which results in a significant lag. Automatic data exchange between the electronic medical record (EMR) system and the laboratory information system (LIS) can enable the timely submission of lab results. When two systems do not use the same data standard for the content of their data, an interoperability services layer is needed to translate the data that are exchanged between the two systems, so that the systems can accurately interpret the data. Health Level 7 (HL7) is a common messaging standard used in health care settings. Some health information system applications can generate HL7 messages while others do not yet have this capability. The presenters in this session will demonstrate a use-case, developed under the USAID-funded MEASURE Evaluation project, for how the NextGen Connect integration engine can serve as the interoperability services layer to exchange data between an HL7-enabled LIS and an EMR system that uses a relational database to store its patient-level data. NextGen Connect is an open-source integration engine that can be customized using transaction-based channels. The prototype that will be demonstrated can be adapted to suit the context where it is implemented.

Senior Health Informatics Specialist
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ICF
Project Director and Health Informatics Advisor
,
MEASURE Evaluation-ICF
No moderator for this session!
WAHIT - Team member
,
Palladium
 Liz Millar
Technical specialist - HIS strengthening
,
MEASURE Evaluation/UNC
Dr. Hasitha Pramod
Health Informatician
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Postgraduate Institute of Medicine (PGIM), University of Colombo, Ministry of Health Sri Lanka
Decoding the HL7 Soup: Using NextGen Connect fo...
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