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From Needles to Numbers: Leveraging Electronic Medical Records in Acupuncture Studies.
Trevor L Murphy1, Hasan Yasin2, Samuel E Mathis2
1John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA.
Medical Acupuncture
|May 14, 2026
Summary
Electronic medical records (EMRs) can significantly enhance acupuncture research for chronic pain management. Utilizing big data analytics through EMRs can validate acupuncture
Area of Science:
- Integrative Medicine
- Health Informatics
- Pain Management
Background:
- Acupuncture, a key therapy in traditional Chinese medicine, shows promise for chronic pain.
- Limited integration into Western medicine due to small-scale studies and lack of statistical power.
- Electronic Medical Records (EMRs) offer a solution for robust data collection and analysis.
Purpose of the Study:
- To advocate for the use of EMRs to strengthen acupuncture research.
- To explore the potential of big data analytics in validating acupuncture's efficacy and safety.
- To promote the integration of acupuncture into evidence-based Western medicine.
Main Methods:
- Preliminary review of the TriNetX database, a large EMR network.
- Analysis of acupuncture utilization trends and patient outcomes.
- Application of big data analytics for research validation.
Main Results:
- Increased acupuncture use observed after Medicare coverage for low back pain with sciatica.
- Notable rise in acupuncture use among minority populations, even during the COVID-19 pandemic.
- Preliminary data suggest acupuncture may reduce opioid use, improve recovery, and enhance patient outcomes.
Conclusions:
- EMRs and big data analytics can meet contemporary research standards for acupuncture.
- This approach can foster acceptance among policymakers and clinicians, expanding access to acupuncture.
- EMR-driven research can establish acupuncture as a vital component of evidence-based integrative medicine.
