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Use of Blockchain Technology for Electronic Prescriptions
Ryan W Seaberg1, Tyler R Seaberg1, David C Seaberg2
1Eirsystem Inc., Chattanooga, TN, USA.
Blockchain technology in electronic prescribing, using the Prescription Abuse Greatly Reduced (PAGR) system, significantly reduced prescription writing time by over a minute. This innovation enhances provider efficiency and patient safety in family medicine clinics.
Area of Science:
- Health Informatics
- Blockchain Technology
- Medical Practice Management
Background:
- Current electronic prescribing systems lack efficiency and robust security features.
- Distributed ledger technology offers a secure, transparent, and verifiable method for recording transactions.
- Evaluating blockchain's impact on healthcare processes is crucial for system improvement.
Purpose of the Study:
- To assess the effect of a blockchain-based electronic prescribing program (PAGR) on provider efficiency.
- To compare the time taken for prescription writing using the PAGR system versus traditional methods.
- To evaluate secondary outcomes including PDMP compliance, medication reconciliation, and prescription modifications.
Main Methods:
- A prospective study was conducted at three family medicine clinics in middle Tennessee.
- The PAGR system was implemented alongside existing electronic health records.
- Trained observers documented prescription writing times and other metrics for 107 patients.
- Data were analyzed using paired Student T-tests.
Main Results:
- The PAGR system reduced average prescription writing time from 171 seconds to 63 seconds (p = 0.0006).
- Providers reported high satisfaction with the PAGR system.
- The system ensured accurate medication reconciliation and complete PDMP checks.
Conclusions:
- The PAGR electronic prescription program significantly improves provider efficiency, saving an average of 1 minute 48 seconds per prescription.
- Blockchain integration enhances patient safety through real-time benefits checks and drug interaction reviews, influencing prescription changes in 28% of cases.
- Future developments aim to expand insurance benefit analysis and patient compliance monitoring.
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