An Informatics Approach to Interprofessional Management of Low Back Pain: A Feasibility Study using the Omaha System

Author:

Austin Robin R.ORCID,Monsen Karen A.,Schulz Craig

Abstract

Background: Low back pain (LBP) is a complex health care issue that often involves multiple providers across various care settings. Health information technology (HIT) holds promise to improve care delivery by providing infrastructure for communication, clinical documentation, and management of patient data. Standardized terminology is essential for interoperability and enables evaluation of clinical data generated by documentation in an electronic health record (EHR).Objective: The purpose of this study was to demonstrate the feasibility of mapping evidence-based practice for conservative management of low back pain to the Omaha System and foster inter-professional communication and collaboration among diverse practitioners and patients.Methods: Evidence-based practice (EBP) guidelines for non-invasive treatment of low back pain were mapped to the Omaha System using a clinical expert approach with attention to content feasibility, linguistic validity, and granularity of terms. Results: A clinical guideline for low back pain management was developed consisting of 13 interventions for Pain and Neuro-musculo-skeletal problems. The most common intervention categories were Case management followed by Treatments and procedures, Teaching, guidance, and counseling and Surveillance. Scope of practice overlap was identified between primary care, chiropractic, and physical therapy practice.Conclusion: Use of the guideline may facilitate clinical documentation using the Omaha System for low back pain management, and has potential to generate meaningful data to evaluate clinical effectiveness and promote quality research. The use of encoded EBP evidence within an EHR can increase use of available evidence, enable interprofessional communication, improve quality of care, and enhance usability of data across care settings.

Publisher

BMJ

Subject

Health Information Management,Computer Science Applications,Health Informatics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3