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Use of Blockchain Technology for Electronic Prescriptions

OBJECTIVE: Distributed ledger technology can be used as a transparent, shareable ledger, that can record transactions between two parties efficiently and in a more secure, verifiable, and permanent way than the current electronic prescribing systems. We studied the use of a distributed ledger electr...

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Autores principales: Seaberg, Ryan W., Seaberg, Tyler R., Seaberg, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Partners in Digital Health 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907402/
https://www.ncbi.nlm.nih.gov/pubmed/36777487
http://dx.doi.org/10.30953/bhty.v4.183
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author Seaberg, Ryan W.
Seaberg, Tyler R.
Seaberg, David C.
author_facet Seaberg, Ryan W.
Seaberg, Tyler R.
Seaberg, David C.
author_sort Seaberg, Ryan W.
collection PubMed
description OBJECTIVE: Distributed ledger technology can be used as a transparent, shareable ledger, that can record transactions between two parties efficiently and in a more secure, verifiable, and permanent way than the current electronic prescribing systems. We studied the use of a distributed ledger electronic prescribing programme, Prescription Abuse Greatly Reduced (PAGR) Prescriptions, to examine the effect of blockchain on provider prescribing efficiency at three family medicine clinics. DESIGN: The PAGR was installed side-by-side to the electronic health record at three family medicine practice clinics in middle Tennessee. A prospective, convenience sample of patients at all three clinics was used for analysis. Trained observers were used in each clinic to document the side-by-side use of current prescribing practice versus the use of the PAGR electronic prescribing system by the individual providers. The primary outcome was total time to write the prescription. Secondary metrics included compliance with checking the state’s Physician Drug Monitoring Program (PDMP.) , accuracy of medicine reconciliation, use of patient’s eligibility on insurance, prescription benefits, and change in prescription caused by benefits analysis or drug-interactions. Provider satisfaction was measure on a 4-point Likert scale. Data were analysed using two-tailed, paired Student T-tests with alpha set at 0.05. A sample size of 107 patients was calculated to have a power of 80% to detect a 50% change in the prescription writing time. RESULTS: The primary outcome of total prescription writing time was 171 ± 41 sec for current prescribing practice versus 63 ± 15 sec for the PAGR system (p = 0.0006). All providers were extremely satisfied with the use of the PAGR programme. CONCLUSION: Use of the PAGR electronic prescription programme significantly saved a mean of 1 min 48 sec per written prescription at the three Family Medicine Clinics. The PAGR also provided accurate medicine reconciliation and complete PDMP checks for controlled substance prescriptions. The patient real-time benefits check and drug-drug and allergy-drug reviews resulted in the provider changing the prescription 28% of the time, enhancing safety and out-of-pocket patient expenses. Future enhancements include expanding the insurance benefits analysis and developing provider notifications when patients are non-compliant with filling their prescriptions.
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spelling pubmed-99074022023-02-10 Use of Blockchain Technology for Electronic Prescriptions Seaberg, Ryan W. Seaberg, Tyler R. Seaberg, David C. Blockchain Healthc Today Original Clinical Research OBJECTIVE: Distributed ledger technology can be used as a transparent, shareable ledger, that can record transactions between two parties efficiently and in a more secure, verifiable, and permanent way than the current electronic prescribing systems. We studied the use of a distributed ledger electronic prescribing programme, Prescription Abuse Greatly Reduced (PAGR) Prescriptions, to examine the effect of blockchain on provider prescribing efficiency at three family medicine clinics. DESIGN: The PAGR was installed side-by-side to the electronic health record at three family medicine practice clinics in middle Tennessee. A prospective, convenience sample of patients at all three clinics was used for analysis. Trained observers were used in each clinic to document the side-by-side use of current prescribing practice versus the use of the PAGR electronic prescribing system by the individual providers. The primary outcome was total time to write the prescription. Secondary metrics included compliance with checking the state’s Physician Drug Monitoring Program (PDMP.) , accuracy of medicine reconciliation, use of patient’s eligibility on insurance, prescription benefits, and change in prescription caused by benefits analysis or drug-interactions. Provider satisfaction was measure on a 4-point Likert scale. Data were analysed using two-tailed, paired Student T-tests with alpha set at 0.05. A sample size of 107 patients was calculated to have a power of 80% to detect a 50% change in the prescription writing time. RESULTS: The primary outcome of total prescription writing time was 171 ± 41 sec for current prescribing practice versus 63 ± 15 sec for the PAGR system (p = 0.0006). All providers were extremely satisfied with the use of the PAGR programme. CONCLUSION: Use of the PAGR electronic prescription programme significantly saved a mean of 1 min 48 sec per written prescription at the three Family Medicine Clinics. The PAGR also provided accurate medicine reconciliation and complete PDMP checks for controlled substance prescriptions. The patient real-time benefits check and drug-drug and allergy-drug reviews resulted in the provider changing the prescription 28% of the time, enhancing safety and out-of-pocket patient expenses. Future enhancements include expanding the insurance benefits analysis and developing provider notifications when patients are non-compliant with filling their prescriptions. Partners in Digital Health 2021-10-22 /pmc/articles/PMC9907402/ /pubmed/36777487 http://dx.doi.org/10.30953/bhty.v4.183 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.
spellingShingle Original Clinical Research
Seaberg, Ryan W.
Seaberg, Tyler R.
Seaberg, David C.
Use of Blockchain Technology for Electronic Prescriptions
title Use of Blockchain Technology for Electronic Prescriptions
title_full Use of Blockchain Technology for Electronic Prescriptions
title_fullStr Use of Blockchain Technology for Electronic Prescriptions
title_full_unstemmed Use of Blockchain Technology for Electronic Prescriptions
title_short Use of Blockchain Technology for Electronic Prescriptions
title_sort use of blockchain technology for electronic prescriptions
topic Original Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907402/
https://www.ncbi.nlm.nih.gov/pubmed/36777487
http://dx.doi.org/10.30953/bhty.v4.183
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