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Elizabeth Nemeth

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  • EP03 - Analytics Driving Canadian Healthcare (ID 43)

    • Event: e-Health 2017 Virtual Meeting
    • Type: e-Poster
    • Track: Clinical and Executive
    • Presentations: 1
    • EP03.03 - Electronic Integration of ICNP-Encoded Nursing Order Sets   (ID 262)

      Elizabeth Nemeth, Clinical Adoption, Healthtech Consultants; Toronto/CA

      • Abstract
      • Slides

      Purpose/Objectives: A community-based hospital participated in a pilot project to demonstrate the benefits of using a standardized terminology language (International Classification for Nursing Practice (ICNP)) embedded within their electronic medical record (EMR) system to increase data quality and facilitate data extraction for e-clinical analytics to support continuous quality improvement. This presentation reviews the methodology used to build organizational capacity to facilitate the use of advanced clinical e-functions such as ICNP and e-clinical analytics to standardize data collection and employ technology-enabled data extraction for outcome evaluation.

      Methodology/Approach: The hospital was required to implement ICNP-encoded nursing order sets to optimize wound care management. External consultants were contracted for the project to build organizational capacity by providing high level training, mentoring and support to: • The Project Lead who was tasked with leading the integration of ICNP-encoded nursing order sets within their MEDITECH information system to standardize and automate data collection for outcome evaluation; • The Information Technology (IT) staff to facilitate data extraction for e-clinical analytics using ICNP codes. The implementation strategy was divided into four phases: Phase I – Project Kick Off & Information Gathering Session - The project sponsor provided a project overview to all key stakeholders, validated the background information obtained and gathered more detailed information from the key informants to share with the external consultants. Phase II – Training & Technical Build Support - The consultants provided training on order set integration within the EMR. This training was divided into modules that coincided with the various stages of the technical build. This approach provided opportunities for direct application and ongoing support throughout the build facilitated by remote system access and WebEx. Phase III - Data Extraction - The consultants worked with the organization’s IT staff to extract the required data using the ICNP codes to support e-clinical analytics. Working with the site, testing and user acceptance were achieved.Phase IV – Support Migration to Production, Go Live & Post-Go Live - During this phase the consultants provided go-live and remote support to ensure adoption, data extraction and reporting functionality during the first 1 month post Go Live.

      Finding/Results: The hospital successfully integrated the ICNP-encoded nursing order sets within their EMR. Data were collected seamlessly as the clinicians used the order sets to facilitate evidence-based wound care. The IT staff were successful in their efforts to extract the data required to evaluate key outcome indicators using e-clinical analytics. This methodology was welcomed by the staff who previously relied on a time-consuming manual data collection process.

      Conclusion/Implication/Recommendations: This project demonstrates the benefits of technology-enabled outcome evaluation facilitated through the use of a standardized terminology language (i.e. ICNP). It greatly reduces the time required for data collection to support outcome evaluation for quality improvement. It also offers hope for others who rely on clinical data for research, benchmarking, trending and policy decisions, to name a few.

      140 Character Summary: This presentation reviews an approach to build capacity to use ICNP to automate data collection and extraction for outcome evaluation.

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