1. An Informatics Approach to Interprofessional Management of Low Back Pain: A Feasibility Study using the Omaha System
- Author
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Robin R. Austin, Karen A. Monsen, and Craig Schulz
- Subjects
Informatics ,low back pain ,evidence-based practice ,electronic health record ,Computer applications to medicine. Medical informatics ,R858-859.7 - 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.
- Published
- 2017
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