A Novel QR Code–Based Solution for Secure Electronic Health Record Transfer in Venous Thromboembolism Home Rehabilitation Management: Algorithm Development and Validation
Venous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence risk. Home rehabilitation management systems that use electronic health records from hospital care provide opportunities for continuous patient monitoring. However...
Uložené v:
| Vydané v: | JMIR rehabilitation and assistive technologies Ročník 12; s. e69230 |
|---|---|
| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Canada
JMIR Publications
11.08.2025
|
| Predmet: | |
| ISSN: | 2369-2529, 2369-2529 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Venous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence risk. Home rehabilitation management systems that use electronic health records from hospital care provide opportunities for continuous patient monitoring. However, transferring medical data from clinical to home settings raises significant concerns about privacy and security. Conventional methods such as manual data entry, optical character recognition, and dedicated data transmission lines face notable technical and operational challenges.
This study aims to develop a QR code-based security transmission algorithm using Avro and byte pair encoding (BPE). The algorithm supports the secure creation and transfer of out-of-hospital health records by enabling patients to scan QR codes via a dedicated mobile app, ensuring data security and user privacy.
Between January and October 2024, 300 hospitalized patients with VTE were recruited at the Sixth Medical Center of the Chinese PLA General Hospital. Post discharge, participants used a home rehabilitation app tailored for VTE management. The QR code-based security transmission algorithm was developed to securely transfer in-hospital electronic health records to the out-of-hospital app. It uses BPE, Avro, and Gzip for optimized data compression and uses ChaCha20 and BLAKE3 for encryption and authentication. Specifically, BPE tokenizes medical text, while Avro serializes JSON (JavaScript Object Notation) objects, contributing to data encryption. A proprietary tokenizer was trained, and compression efficiency was evaluated using a "Performance Benchmark Dataset." Comparative analyses were conducted to assess the compression efficiency of JSON serialization methods (Avro and ASN.1 [Abstract Syntax Notation One]), and tokenization algorithms (BPE and unigram).
The dataset consisted of JSON files from 300 patients, averaging 240.1 fields per file (range 89-623) and 7095 bytes in size (range 2748-17,425 bytes). Using the BPE + Avro + Gzip algorithm, the average file size was reduced to 1048 bytes, achieving a compression ratio of 6.67. This was 1.82 times more efficient than traditional Gzip compression (average file size: 1907 bytes; compression ratio: 3.66; P<.001). For Chinese medical text tokenization, BPE outperformed unigram with a compression ratio of 4.68 versus 4.55 (P<.001). Avro and ASN.1 demonstrated comparable compression ratios of 2.57 and 2.59, respectively, when used alone (P=.30). However, Avro combined with BPE and Gzip significantly outperformed ASN.1, achieving compression ratios of 6.67 versus 5.21 (P<.001). Additionally, 84.7% (254/300) of patients needed to scan only 1 QR code, requiring an average of 3.1 seconds.
The QR code-based security transmission algorithm using Avro and BPE efficiently compresses and transmits data in an encrypted manner and authenticates the identity of the scanning users, ensuring the privacy and security of medical data. Delivered as a software development kit, the algorithm offers straightforward implementation and usability, supporting its broad adoption across various applications. |
|---|---|
| AbstractList | Background:Venous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence risk. Home rehabilitation management systems that use electronic health records from hospital care provide opportunities for continuous patient monitoring. However, transferring medical data from clinical to home settings raises significant concerns about privacy and security. Conventional methods such as manual data entry, optical character recognition, and dedicated data transmission lines face notable technical and operational challenges.Objective:This study aims to develop a QR code–based security transmission algorithm using Avro and byte pair encoding (BPE). The algorithm supports the secure creation and transfer of out-of-hospital health records by enabling patients to scan QR codes via a dedicated mobile app, ensuring data security and user privacy.Methods:Between January and October 2024, 300 hospitalized patients with VTE were recruited at the Sixth Medical Center of the Chinese PLA General Hospital. Post discharge, participants used a home rehabilitation app tailored for VTE management. The QR code–based security transmission algorithm was developed to securely transfer in-hospital electronic health records to the out-of-hospital app. It uses BPE, Avro, and Gzip for optimized data compression and uses ChaCha20 and BLAKE3 for encryption and authentication. Specifically, BPE tokenizes medical text, while Avro serializes JSON (JavaScript Object Notation) objects, contributing to data encryption. A proprietary tokenizer was trained, and compression efficiency was evaluated using a “Performance Benchmark Dataset.” Comparative analyses were conducted to assess the compression efficiency of JSON serialization methods (Avro and ASN.1 [Abstract Syntax Notation One]), and tokenization algorithms (BPE and unigram).Results:The dataset consisted of JSON files from 300 patients, averaging 240.1 fields per file (range 89‐623) and 7095 bytes in size (range 2748‐17,425 bytes). Using the BPE + Avro + Gzip algorithm, the average file size was reduced to 1048 bytes, achieving a compression ratio of 6.67. This was 1.82 times more efficient than traditional Gzip compression (average file size: 1907 bytes; compression ratio: 3.66; P<.001). For Chinese medical text tokenization, BPE outperformed unigram with a compression ratio of 4.68 versus 4.55 (P<.001). Avro and ASN.1 demonstrated comparable compression ratios of 2.57 and 2.59, respectively, when used alone (P=.30). However, Avro combined with BPE and Gzip significantly outperformed ASN.1, achieving compression ratios of 6.67 versus 5.21 (P<.001). Additionally, 84.7% (254/300) of patients needed to scan only 1 QR code, requiring an average of 3.1 seconds.Conclusions:The QR code–based security transmission algorithm using Avro and BPE efficiently compresses and transmits data in an encrypted manner and authenticates the identity of the scanning users, ensuring the privacy and security of medical data. Delivered as a software development kit, the algorithm offers straightforward implementation and usability, supporting its broad adoption across various applications. Venous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence risk. Home rehabilitation management systems that use electronic health records from hospital care provide opportunities for continuous patient monitoring. However, transferring medical data from clinical to home settings raises significant concerns about privacy and security. Conventional methods such as manual data entry, optical character recognition, and dedicated data transmission lines face notable technical and operational challenges.BackgroundVenous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence risk. Home rehabilitation management systems that use electronic health records from hospital care provide opportunities for continuous patient monitoring. However, transferring medical data from clinical to home settings raises significant concerns about privacy and security. Conventional methods such as manual data entry, optical character recognition, and dedicated data transmission lines face notable technical and operational challenges.This study aims to develop a QR code-based security transmission algorithm using Avro and byte pair encoding (BPE). The algorithm supports the secure creation and transfer of out-of-hospital health records by enabling patients to scan QR codes via a dedicated mobile app, ensuring data security and user privacy.ObjectiveThis study aims to develop a QR code-based security transmission algorithm using Avro and byte pair encoding (BPE). The algorithm supports the secure creation and transfer of out-of-hospital health records by enabling patients to scan QR codes via a dedicated mobile app, ensuring data security and user privacy.Between January and October 2024, 300 hospitalized patients with VTE were recruited at the Sixth Medical Center of the Chinese PLA General Hospital. Post discharge, participants used a home rehabilitation app tailored for VTE management. The QR code-based security transmission algorithm was developed to securely transfer in-hospital electronic health records to the out-of-hospital app. It uses BPE, Avro, and Gzip for optimized data compression and uses ChaCha20 and BLAKE3 for encryption and authentication. Specifically, BPE tokenizes medical text, while Avro serializes JSON (JavaScript Object Notation) objects, contributing to data encryption. A proprietary tokenizer was trained, and compression efficiency was evaluated using a "Performance Benchmark Dataset." Comparative analyses were conducted to assess the compression efficiency of JSON serialization methods (Avro and ASN.1 [Abstract Syntax Notation One]), and tokenization algorithms (BPE and unigram).MethodsBetween January and October 2024, 300 hospitalized patients with VTE were recruited at the Sixth Medical Center of the Chinese PLA General Hospital. Post discharge, participants used a home rehabilitation app tailored for VTE management. The QR code-based security transmission algorithm was developed to securely transfer in-hospital electronic health records to the out-of-hospital app. It uses BPE, Avro, and Gzip for optimized data compression and uses ChaCha20 and BLAKE3 for encryption and authentication. Specifically, BPE tokenizes medical text, while Avro serializes JSON (JavaScript Object Notation) objects, contributing to data encryption. A proprietary tokenizer was trained, and compression efficiency was evaluated using a "Performance Benchmark Dataset." Comparative analyses were conducted to assess the compression efficiency of JSON serialization methods (Avro and ASN.1 [Abstract Syntax Notation One]), and tokenization algorithms (BPE and unigram).The dataset consisted of JSON files from 300 patients, averaging 240.1 fields per file (range 89-623) and 7095 bytes in size (range 2748-17,425 bytes). Using the BPE + Avro + Gzip algorithm, the average file size was reduced to 1048 bytes, achieving a compression ratio of 6.67. This was 1.82 times more efficient than traditional Gzip compression (average file size: 1907 bytes; compression ratio: 3.66; P<.001). For Chinese medical text tokenization, BPE outperformed unigram with a compression ratio of 4.68 versus 4.55 (P<.001). Avro and ASN.1 demonstrated comparable compression ratios of 2.57 and 2.59, respectively, when used alone (P=.30). However, Avro combined with BPE and Gzip significantly outperformed ASN.1, achieving compression ratios of 6.67 versus 5.21 (P<.001). Additionally, 84.7% (254/300) of patients needed to scan only 1 QR code, requiring an average of 3.1 seconds.ResultsThe dataset consisted of JSON files from 300 patients, averaging 240.1 fields per file (range 89-623) and 7095 bytes in size (range 2748-17,425 bytes). Using the BPE + Avro + Gzip algorithm, the average file size was reduced to 1048 bytes, achieving a compression ratio of 6.67. This was 1.82 times more efficient than traditional Gzip compression (average file size: 1907 bytes; compression ratio: 3.66; P<.001). For Chinese medical text tokenization, BPE outperformed unigram with a compression ratio of 4.68 versus 4.55 (P<.001). Avro and ASN.1 demonstrated comparable compression ratios of 2.57 and 2.59, respectively, when used alone (P=.30). However, Avro combined with BPE and Gzip significantly outperformed ASN.1, achieving compression ratios of 6.67 versus 5.21 (P<.001). Additionally, 84.7% (254/300) of patients needed to scan only 1 QR code, requiring an average of 3.1 seconds.The QR code-based security transmission algorithm using Avro and BPE efficiently compresses and transmits data in an encrypted manner and authenticates the identity of the scanning users, ensuring the privacy and security of medical data. Delivered as a software development kit, the algorithm offers straightforward implementation and usability, supporting its broad adoption across various applications.ConclusionsThe QR code-based security transmission algorithm using Avro and BPE efficiently compresses and transmits data in an encrypted manner and authenticates the identity of the scanning users, ensuring the privacy and security of medical data. Delivered as a software development kit, the algorithm offers straightforward implementation and usability, supporting its broad adoption across various applications. Venous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence risk. Home rehabilitation management systems that use electronic health records from hospital care provide opportunities for continuous patient monitoring. However, transferring medical data from clinical to home settings raises significant concerns about privacy and security. Conventional methods such as manual data entry, optical character recognition, and dedicated data transmission lines face notable technical and operational challenges. This study aims to develop a QR code-based security transmission algorithm using Avro and byte pair encoding (BPE). The algorithm supports the secure creation and transfer of out-of-hospital health records by enabling patients to scan QR codes via a dedicated mobile app, ensuring data security and user privacy. Between January and October 2024, 300 hospitalized patients with VTE were recruited at the Sixth Medical Center of the Chinese PLA General Hospital. Post discharge, participants used a home rehabilitation app tailored for VTE management. The QR code-based security transmission algorithm was developed to securely transfer in-hospital electronic health records to the out-of-hospital app. It uses BPE, Avro, and Gzip for optimized data compression and uses ChaCha20 and BLAKE3 for encryption and authentication. Specifically, BPE tokenizes medical text, while Avro serializes JSON (JavaScript Object Notation) objects, contributing to data encryption. A proprietary tokenizer was trained, and compression efficiency was evaluated using a "Performance Benchmark Dataset." Comparative analyses were conducted to assess the compression efficiency of JSON serialization methods (Avro and ASN.1 [Abstract Syntax Notation One]), and tokenization algorithms (BPE and unigram). The dataset consisted of JSON files from 300 patients, averaging 240.1 fields per file (range 89-623) and 7095 bytes in size (range 2748-17,425 bytes). Using the BPE + Avro + Gzip algorithm, the average file size was reduced to 1048 bytes, achieving a compression ratio of 6.67. This was 1.82 times more efficient than traditional Gzip compression (average file size: 1907 bytes; compression ratio: 3.66; P<.001). For Chinese medical text tokenization, BPE outperformed unigram with a compression ratio of 4.68 versus 4.55 (P<.001). Avro and ASN.1 demonstrated comparable compression ratios of 2.57 and 2.59, respectively, when used alone (P=.30). However, Avro combined with BPE and Gzip significantly outperformed ASN.1, achieving compression ratios of 6.67 versus 5.21 (P<.001). Additionally, 84.7% (254/300) of patients needed to scan only 1 QR code, requiring an average of 3.1 seconds. The QR code-based security transmission algorithm using Avro and BPE efficiently compresses and transmits data in an encrypted manner and authenticates the identity of the scanning users, ensuring the privacy and security of medical data. Delivered as a software development kit, the algorithm offers straightforward implementation and usability, supporting its broad adoption across various applications. Abstract BackgroundVenous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence risk. Home rehabilitation management systems that use electronic health records from hospital care provide opportunities for continuous patient monitoring. However, transferring medical data from clinical to home settings raises significant concerns about privacy and security. Conventional methods such as manual data entry, optical character recognition, and dedicated data transmission lines face notable technical and operational challenges. ObjectiveThis study aims to develop a QR code–based security transmission algorithm using Avro and byte pair encoding (BPE). The algorithm supports the secure creation and transfer of out-of-hospital health records by enabling patients to scan QR codes via a dedicated mobile app, ensuring data security and user privacy. MethodsBetween January and October 2024, 300 hospitalized patients with VTE were recruited at the Sixth Medical Center of the Chinese PLA General Hospital. Post discharge, participants used a home rehabilitation app tailored for VTE management. The QR code–based security transmission algorithm was developed to securely transfer in-hospital electronic health records to the out-of-hospital app. It uses BPE, Avro, and Gzip for optimized data compression and uses ChaCha20 and BLAKE3 for encryption and authentication. Specifically, BPE tokenizes medical text, while Avro serializes JSON (JavaScript Object Notation) objects, contributing to data encryption. A proprietary tokenizer was trained, and compression efficiency was evaluated using a “Performance Benchmark Dataset.” Comparative analyses were conducted to assess the compression efficiency of JSON serialization methods (Avro and ASN.1 [Abstract Syntax Notation One]), and tokenization algorithms (BPE and unigram). ResultsThe dataset consisted of JSON files from 300 patients, averaging 240.1 fields per file (range 89‐623) and 7095 bytes in size (range 2748‐17,425 bytes). Using the BPE + Avro + Gzip algorithm, the average file size was reduced to 1048 bytes, achieving a compression ratio of 6.67. This was 1.82 times more efficient than traditional Gzip compression (average file size: 1907 bytes; compression ratio: 3.66; PPPP ConclusionsThe QR code–based security transmission algorithm using Avro and BPE efficiently compresses and transmits data in an encrypted manner and authenticates the identity of the scanning users, ensuring the privacy and security of medical data. Delivered as a software development kit, the algorithm offers straightforward implementation and usability, supporting its broad adoption across various applications. |
| Author | Jin, Zhigeng Guo, Yutao Li, Changzhen Wang, Fei Zhang, Zheqi Liu, Binbin |
| Author_xml | – sequence: 1 givenname: Changzhen orcidid: 0009-0001-3611-0370 surname: Li fullname: Li, Changzhen – sequence: 2 givenname: Zhigeng orcidid: 0000-0003-2971-6697 surname: Jin fullname: Jin, Zhigeng – sequence: 3 givenname: Fei orcidid: 0009-0007-6495-2544 surname: Wang fullname: Wang, Fei – sequence: 4 givenname: Zheqi orcidid: 0009-0009-0299-2561 surname: Zhang fullname: Zhang, Zheqi – sequence: 5 givenname: Binbin orcidid: 0009-0002-1907-2875 surname: Liu fullname: Liu, Binbin – sequence: 6 givenname: Yutao orcidid: 0000-0002-7626-7751 surname: Guo fullname: Guo, Yutao |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40789086$$D View this record in MEDLINE/PubMed |
| BookMark | eNpdkk9uEzEUh0eoiJaSKyBLCIlNwP9mbLNBIRRaqYBoQ7cj2_OcOPLYqWemEjvuwDU4FSdhkpSqZWHZev786een97Q4iClCUUwIfk2Jqt5UijL8qDiirFJTWlJ1cO98WEy6bo0xJpJLxdiT4pBjIRWW1VHxe4a-pBsI6NsFmqcG_vz89V530KDLFIbep4hcyugS7JABnQSwfU7RW3QKOvQrdAE25QYtso6dg4x8RFcQ09ChxSqn1iQYV_Bdi05TCyO-0sYH3-ud-rOOegktxP4tmoVlyr5ftegDjHnSZltGOjboSgff7B48Kx47HTqY3O7HxfePJ4v56fT866ez-ex8ajnl_bRSTGilSgMEeNXQBmvGtWioo8aBcFIS0E6ISoiG4EpCJSujFQFGysppw46Ls723SXpdb7Jvdf5RJ-3rXSHlZa1z722AmjFumeGudAxzA0LhsnQSrDXOGW7U6Hq3d20G00Jjx19lHR5IH95Ev6qX6aYmlDEp-dbw6taQ0_UAXV-3vrMQgo4wdrpmlElBBMFiRF_8h67TkOPYq5HipJQlI2yknt-PdJfl31SMwMs9YHPqugzuDiG43g5cvRs49hdkq8pF |
| Cites_doi | 10.5555/177910.177914 10.12968/S1361-3723(24)70007-4 10.12968/S1361-3723(24)70010-4 10.17392/1038-20 10.18653/v1/P16-1162 10.3390/jcm9082467 10.3233/SHTI220063 10.18653/v1/P18-1007 10.2196/22661 10.12968/S1361-3723(24)70013-X 10.1016/j.compag.2014.08.015 10.1109/ACCESS.2024.3486054 10.3760/cma.j.cn112137-20231102-00987 10.12968/bjhc.2024.0029 10.1007/s13246-018-0695-y 10.1109/EMBC.2019.8856946 10.17487/RFC8439 10.1038/nrcardio.2015.83 10.1109/AISC56616.2023.10085559 10.1007/s41870-023-01610-2 10.2196/jmir.1166 10.1109/ACCESS.2020.2987941 10.12968/S1353-4858(24)70011-7 10.1080/01611194.2018.1549122 10.1111/j.1365-2710.2012.01358.x |
| ContentType | Journal Article |
| Copyright | Changzhen Li, Zhigeng Jin, Fei Wang, Zheqi Zhang, Binbin Liu, Yutao Guo. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org). 2025. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © Changzhen Li, Zhigeng Jin, Fei Wang, Zheqi Zhang, Binbin Liu, Yutao Guo. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org) 2025 |
| Copyright_xml | – notice: Changzhen Li, Zhigeng Jin, Fei Wang, Zheqi Zhang, Binbin Liu, Yutao Guo. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org). – notice: 2025. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Copyright © Changzhen Li, Zhigeng Jin, Fei Wang, Zheqi Zhang, Binbin Liu, Yutao Guo. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org) 2025 |
| DBID | AAYXX CITATION NPM 3V. 7RV 7XB 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH KB0 NAPCQ PHGZM PHGZT PIMPY PKEHL PPXIY PQEST PQQKQ PQUKI 7X8 5PM DOA |
| DOI | 10.2196/69230 |
| DatabaseName | CrossRef PubMed ProQuest Central (Corporate) Nursing & Allied Health Database ProQuest Central (purchase pre-March 2016) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Korea Proquest Health Research Premium Collection Health Research Premium Collection (Alumni) Nursing & Allied Health Database (Alumni Edition) Nursing & Allied Health Premium ProQuest Central Premium ProQuest One Academic (New) ProQuest Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Nursing & Allied Health Source ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Central Nursing & Allied Health Premium Health Research Premium Collection ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Nursing & Allied Health Source (Alumni) ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Publicly Available Content Database MEDLINE - Academic PubMed |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7RV name: Nursing & Allied Health Database url: https://search.proquest.com/nahs sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 2369-2529 |
| EndPage | e69230 |
| ExternalDocumentID | oai_doaj_org_article_334c3b4f5f304be79055f8eccbffb4b9 PMC12338849 40789086 10_2196_69230 |
| Genre | Journal Article |
| GroupedDBID | 7RV 8FI 8FJ AAFWJ AAYXX ABUWG ADBBV AFFHD AFKRA AFPKN ALMA_UNASSIGNED_HOLDINGS AOIJS BCNDV BENPR CCPQU CITATION FYUFA GROUPED_DOAJ HYE M~E NAPCQ OK1 PGMZT PHGZM PHGZT PIMPY PPXIY RPM UKHRP ALIPV NPM 3V. 7XB 8FK AZQEC DWQXO PKEHL PQEST PQQKQ PQUKI 7X8 PUEGO 5PM |
| ID | FETCH-LOGICAL-c424t-6937a995be1e46d2d0a34a7d2f2bfe7f881eaf77677d1068e686ba91e3156fab3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001554457700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2369-2529 |
| IngestDate | Tue Oct 14 19:08:26 EDT 2025 Tue Nov 04 02:05:08 EST 2025 Fri Sep 05 15:15:30 EDT 2025 Thu Aug 21 12:40:54 EDT 2025 Fri Aug 15 02:01:22 EDT 2025 Sat Nov 29 07:40:25 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | data compression data serialization venous thromboembolism authenticated encryption health information exchange secure data transmission QR code home rehabilitation tokenization algorithm Avro electronic health record |
| Language | English |
| License | Changzhen Li, Zhigeng Jin, Fei Wang, Zheqi Zhang, Binbin Liu, Yutao Guo. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org). This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Rehabilitation and Assistive Technology, is properly cited. The complete bibliographic information, a link to the original publication on https://rehab.jmir.org/, as well as this copyright and license information must be included. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c424t-6937a995be1e46d2d0a34a7d2f2bfe7f881eaf77677d1068e686ba91e3156fab3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 these authors contributed equally |
| ORCID | 0009-0001-3611-0370 0009-0009-0299-2561 0009-0002-1907-2875 0009-0007-6495-2544 0000-0002-7626-7751 0000-0003-2971-6697 |
| OpenAccessLink | https://doaj.org/article/334c3b4f5f304be79055f8eccbffb4b9 |
| PMID | 40789086 |
| PQID | 3241585313 |
| PQPubID | 4997110 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_334c3b4f5f304be79055f8eccbffb4b9 pubmedcentral_primary_oai_pubmedcentral_nih_gov_12338849 proquest_miscellaneous_3238717107 proquest_journals_3241585313 pubmed_primary_40789086 crossref_primary_10_2196_69230 |
| PublicationCentury | 2000 |
| PublicationDate | 20250811 |
| PublicationDateYYYYMMDD | 2025-08-11 |
| PublicationDate_xml | – month: 8 year: 2025 text: 20250811 day: 11 |
| PublicationDecade | 2020 |
| PublicationPlace | Canada |
| PublicationPlace_xml | – name: Canada – name: Toronto – name: Toronto, Canada |
| PublicationTitle | JMIR rehabilitation and assistive technologies |
| PublicationTitleAlternate | JMIR Rehabil Assist Technol |
| PublicationYear | 2025 |
| Publisher | JMIR Publications |
| Publisher_xml | – name: JMIR Publications |
| References | Mathivanan (R10); 41 Ujiie (R7); 8 Kumar (R28); 2024 Kumar (R27); 2024 Gage (R18); 12 Kumar (R31); 2024 Mao (R13); 2019 R21 R20 Lin (R8); 37 Lauriot Dit Prevost (R12); 290 R23 Mlačo (R3); 17 R22 R25 R26 Hospital Pharmacy Professional Committee of the Chinese Pharmaceutical Association (R4); 104 Tarjan (R24); 109 Sahu (R30); 31 Nakayama (R9); 192 Kumar (R32); 8 Nicholson (R2); 9 Sahu (R29); 2024 Mathivanan (R11); 43 R14 R16 R15 R17 Heit (R1); 12 Wright (R5); 11 R19 Batra (R6); 16 |
| References_xml | – volume: 12 ident: R18 article-title: A new algorithm for data compression publication-title: C Users J doi: 10.5555/177910.177914 – volume: 2024 start-page: 70007 issue: 2 ident: R28 article-title: Securing military computing with the blockchain publication-title: Comput Fraud Secur doi: 10.12968/S1361-3723(24)70007-4 – volume: 2024 start-page: 70010 issue: 3 ident: R29 article-title: A secure decentralised finance framework publication-title: Comput Fraud Secur doi: 10.12968/S1361-3723(24)70010-4 – volume: 17 start-page: 54 issue: 1 ident: R3 article-title: Provoked venous thromboembolism during ten-year follow up at the Clinical Centre University of Sarajevo publication-title: Med Glas (Zenica) doi: 10.17392/1038-20 – ident: R20 doi: 10.18653/v1/P16-1162 – volume: 9 issue: 8 ident: R2 article-title: Prevention of venous thromboembolism in 2020 and beyond publication-title: J Clin Med doi: 10.3390/jcm9082467 – ident: R23 – volume: 290 ident: R12 article-title: “Re-Materialized” medical data: paper-based transmission of structured medical data using QR-Code, for medical imaging reports publication-title: Stud Health Technol Inform doi: 10.3233/SHTI220063 – ident: R21 doi: 10.18653/v1/P18-1007 – ident: R25 – ident: R26 – volume: 8 issue: 11 ident: R7 article-title: Identification of adverse drug event-related Japanese articles: natural language processing analysis publication-title: JMIR Med Inform doi: 10.2196/22661 – volume: 2024 issue: 4 ident: R31 article-title: Code of silence: cyber security strategies for combating deepfake disinformation publication-title: Comput Fraud Secur doi: 10.12968/S1361-3723(24)70013-X – volume: 109 ident: R24 article-title: A readability analysis for QR code application in a traceability system publication-title: Comput Electron Agric doi: 10.1016/j.compag.2014.08.015 – ident: R16 doi: 10.1109/ACCESS.2024.3486054 – volume: 104 ident: R4 article-title: Chinese expert consensus on home management of oral anticoagulants publication-title: Natl Med J China doi: 10.3760/cma.j.cn112137-20231102-00987 – volume: 31 start-page: 1 issue: 1 ident: R30 article-title: Telemedicine: how to achieve interoperability without compromising data security publication-title: Br J Healthc Manag doi: 10.12968/bjhc.2024.0029 – volume: 41 start-page: 1057 issue: 4 ident: R10 article-title: QR code based patient data protection in ECG steganography publication-title: Australas Phys Eng Sci Med doi: 10.1007/s13246-018-0695-y – volume: 2019 ident: R13 article-title: QRStream: a secure and convenient method for text healthcare data transferring publication-title: Annu Int Conf IEEE Eng Med Biol Soc doi: 10.1109/EMBC.2019.8856946 – ident: R22 doi: 10.17487/RFC8439 – volume: 12 start-page: 464 issue: 8 ident: R1 article-title: Epidemiology of venous thromboembolism publication-title: Nat Rev Cardiol doi: 10.1038/nrcardio.2015.83 – volume: 192 ident: R9 publication-title: Stud Health Technol Inform – ident: R14 doi: 10.1109/AISC56616.2023.10085559 – volume: 16 start-page: 447 issue: 1 ident: R6 article-title: OCR-MRD: performance analysis of different optical character recognition engines for medical report digitization publication-title: Int J Inf Tecnol doi: 10.1007/s41870-023-01610-2 – volume: 11 issue: 3 ident: R5 article-title: Ability to generate patient registries among practices with and without electronic health records publication-title: J Med Internet Res doi: 10.2196/jmir.1166 – volume: 8 ident: R32 article-title: A hybrid model of hesitant fuzzy decision-making analysis for estimating usable-security of software publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2987941 – volume: 2024 start-page: 70011 issue: 3 ident: R27 article-title: Securing communication protocols in military computing publication-title: Netw Secur doi: 10.12968/S1353-4858(24)70011-7 – volume: 43 start-page: 233 issue: 3 ident: R11 article-title: QR code–based ECG signal encryption/decryption algorithm publication-title: Cryptologia doi: 10.1080/01611194.2018.1549122 – volume: 37 start-page: 643 issue: 6 ident: R8 article-title: The feasibility of QR-code prescription in Taiwan publication-title: J Clin Pharm Ther doi: 10.1111/j.1365-2710.2012.01358.x – ident: R19 – ident: R15 – ident: R17 |
| SSID | ssj0001848933 |
| Score | 2.2999485 |
| Snippet | Venous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence risk. Home... Background:Venous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence risk. Home... Abstract BackgroundVenous thromboembolism (VTE) is a common vascular disorder requiring extended anticoagulation therapy postdischarge to reduce recurrence... |
| SourceID | doaj pubmedcentral proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database |
| StartPage | e69230 |
| SubjectTerms | Accuracy Algorithms Application programming interface Efficiency Electronic health records Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology Emerging Technologies for Rehabilitation Hospitals Interoperability JavaScript Medical records Original Paper Patients Privacy Telemedicine Thromboembolism |
| SummonAdditionalLinks | – databaseName: Nursing & Allied Health Database dbid: 7RV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NbtQwEB5BQQgJ8SN-GijVIHGNmsTexOaCtlUrTiuoyqq3yI7t7kq7Sclue-YdeA2eiidh7GT_EOLCIZfYikaZmcw348k3AO8HmmIAc2nsnNUxTx35XJYVsbNkTkwKy7kLwyaK0UhcXsrPfcFt0bdVrr6J4UNtmsrXyI-YDzX03JR9vP4W-6lR_nS1H6FxF-6lHhuTPRfn402NRXhqFfYAHvmOZ7K1o5zwTLITggJT_9_g5Z9dklth5-zJ_wr8FB73gBOHnYU8gzu2fg4_hzhqbu0Mv5zjSWPsr-8_jimcGVxVyZCwLIZavMXT9aQc7H5awi5nxRDnnG1xWuM4cL3ixaRt5rqxdM2mizn6Key0fZsNHDcdNx9wOLsimZeTOW51L6GqDY4pQejmPb2Ar2enFyef4n5uQ1zxjC_jnCCPknKgbWp5bjKTKMZVYTKXabIBJ0RqlfM0QoWhjFTYXORaydQySiad0uwl7NVNbfcBVWa40IpAq6u4TpQUlWNKqCSTtqCnR3C4UmV53dFzlJTWeF2XQdcRHHsFrxc9m3a40bRXZe-cJWO8Ypq7gWMJ19Zzlg2cIOPWzmmuZQQHKxWXvYsvyo1-I3i3Xibn9Ccuqrb00mkPo4SUQFwRwavOmtaS-ANUSQllBGLHznZE3V2pp5NAAE5ogwnB5et_y_UGHmZ-WrEn8E0PYG_Z3ti3cL-6XU4X7WFwld8DhyTN priority: 102 providerName: ProQuest |
| Title | A Novel QR Code–Based Solution for Secure Electronic Health Record Transfer in Venous Thromboembolism Home Rehabilitation Management: Algorithm Development and Validation |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/40789086 https://www.proquest.com/docview/3241585313 https://www.proquest.com/docview/3238717107 https://pubmed.ncbi.nlm.nih.gov/PMC12338849 https://doaj.org/article/334c3b4f5f304be79055f8eccbffb4b9 |
| Volume | 12 |
| WOSCitedRecordID | wos001554457700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2369-2529 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001848933 issn: 2369-2529 databaseCode: DOA dateStart: 20140101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2369-2529 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001848933 issn: 2369-2529 databaseCode: M~E dateStart: 20140101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Nursing & Allied Health Database customDbUrl: eissn: 2369-2529 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001848933 issn: 2369-2529 databaseCode: 7RV dateStart: 20140101 isFulltext: true titleUrlDefault: https://search.proquest.com/nahs providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2369-2529 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001848933 issn: 2369-2529 databaseCode: BENPR dateStart: 20140101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Publicly Available Content Database customDbUrl: eissn: 2369-2529 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001848933 issn: 2369-2529 databaseCode: PIMPY dateStart: 20140101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NjtMwEB7BgtBKCIH4CyzVIHGNNondxObWrrqCA1WplqqcIruxaaQ2QWl3z7wDr8FT8SSMnbakCIkLh0RKHCWOZ0bzjT3-BuBNX5MPYDYOrTU65LElm0uSLLSG1IlJYTi3vthENh6L-VxOOqW-XE5YSw_cDtw5Y3zBNLd9S4G3No5Pqm8FfVhbq7n2W_eiTHaCKT-7IhypCrsH912uM2nZeUpIJjpyPp6j_2_A8s_8yI7DuXwID3ZIEQdtDx_BLVM9hh8DHNc3ZoUfp3hRF-bnt-9D8kMF7qe3kEAo-kl0g6NDiRtsdxthG2yid1DWNFhWOPMkrXi1bOq1rg0dq3KzRlc-nR7v0njj71SZtzhYfambcrtcYyftCFVV4IyQfVuo6Ql8uhxdXbwLdwUXwgVP-DZMCasoKfvaxIanRVJEinGVFYlNNAnPChEbZR3_T1ZQKClMKlKtZGwYRYFWafYUTqq6Ms8BVVJwoRWhTbvgOlJSLCxTQkWJNBm9PYDeXhL515ZXI6d4xIkq96IKYOjkc2h0NNj-BilHvlOO_F_KEcDZXrr5zjY3OXOghTQ0ZgG8PjSTVbmlElUZGnR6hlEkSegrC-BZqwyHnriVT0mRYADiSE2OunrcUpVLz9xNMIEJweWL__FzL-E0ccWIHT9vfAYn2-bavIK7i5ttuWl6cDubztx5LnpwZzgaT6Y9byN0NXn_YfL5F30RHSc |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFD4aHQIkxEXcAmMcJHiM1thu4yAh1I1Nq7ZVBZVpewp2Yq-V2mS0ZYg3_gN_A_Gj-CUcJ00vCPG2Bx7yEluW5Xw-F_vk-wBeNDT5AG4D31qjfRFY2nOMhb41BCceSSOELcQmwk5HnpxE3TX4Wf0L48oqK5tYGOo0T9wZ-RZ3robGDfib80--U41yt6uVhEYJiwPz9QulbJPX7bf0fV8ytrfb29n3Z6oCfiKYmPpNcsgqihraBEY0U5bWFRcqTJllmmZopQyMso7kJkwpX5KmKZtaRYHhlOpYpTmNewXWhQN7Dda77aPu6eJURzoyF34Nbroaa0L3VpMiqPqK0yu0Af4W0P5Zl7nk6PZu_29LdAduzUJqbJV74C6smewe_GhhJ78wQ3z3Hnfy1Pz69n2bHHaK1TkgUrSOxW2Dwd25FhCWv2VhmZVj4cmtGeMgw-OCzRZ7_XE-0rmhZziYjNDpzFP3Zb5zXNQUvcLW8IzWaNof4VJ9FqosxWNKgUpFq_vw4VIW6AHUsjwzjwAVS4XUisJymwhdV5FMLFdS1VlkQhrdg80KOvF5SUASU-LmsBUX2PJg2wFq3uj4wosX-fgsnpmfmHORcC1sw_K60MaxsjWspO2rrdVCRx5sVJCKZ0ZsEi_w5MHzeTOZH3enpDJDi059OKXcFKaGHjws0Tufibsijihl9kCu4Hplqqst2aBfUJxTPMWlFNHjf8_rGVzf7x0dxoftzsETuMGcNrOjKw42oDYdfzZP4WpyMR1MxpuzjYrw8bKB_xvgZYOi |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LjtMwFL0aOmiEhHiIV2AYLhIsoza22zhICHUeFdVAVdAwmlkFO7GnldpkaMsgdvwDv8EX8Dl8CddJ-kKI3SxYZBNbluUc34d9cw7As6YmH8Bt4FtrtC8CS3uOsdC3huDEI2mEsIXYRNjryZOTqL8BP-f_wriyyrlNLAx1mifujLzOnauhcQNet1VZRH-_8-r8k-8UpNxN61xOo4TIofn6hdK36cvuPn3r54x1Do72XvuVwoCfCCZmfoucs4qipjaBEa2UpQ3FhQpTZpmm2VopA6OsI7wJU8qdpGnJllZRYDilPVZpTuNegU0KyQWrwWa_-7Z_ujzhkY7YhW_BdVdvTUivtyiaaqw5wEIn4G_B7Z81mitOr3Pzf16uW3CjCrWxXe6N27Bhsjvwo429_MKM8N173MtT8-vb911y5CnOzweRongsbiEMHiw0grD8XQvLbB0LD2_NBIcZHhcst3g0mORjnRt6RsPpGJ3-PHVf5UHHZa3RC2yPzmiNZoMxrtRtocpSPKbUqFS6ugsfLmWB7kEtyzPzAFCxVEitKFy3idANFcnEciVVg0UmpNE92JnDKD4viUliSugczuICZx7sOnAtGh2PePEin5zFlVmKORcJ18I2LW8IbRxbW9NK2tbaWi105MH2HF5xZdym8RJbHjxdNJNZcndNKjO06NSHUypO4Wvowf0SyYuZuKvjiFJpD-Qaxtemut6SDQcF9TnFWVxKET3897yewBahPX7T7R0-gmvMSTY7FuNgG2qzyWfzGK4mF7PhdLJT7VmEj5eN-98P1Ixi |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Novel+QR+Code%E2%80%93Based+Solution+for+Secure+Electronic+Health+Record+Transfer+in+Venous+Thromboembolism+Home+Rehabilitation+Management%3A+Algorithm+Development+and+Validation&rft.jtitle=JMIR+rehabilitation+and+assistive+technologies&rft.au=Changzhen+Li&rft.au=Zhigeng+Jin&rft.au=Fei+Wang&rft.au=Zheqi+Zhang&rft.date=2025-08-11&rft.pub=JMIR+Publications&rft.eissn=2369-2529&rft.volume=12&rft.spage=e69230&rft.epage=e69230&rft_id=info:doi/10.2196%2F69230&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_334c3b4f5f304be79055f8eccbffb4b9 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2369-2529&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2369-2529&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2369-2529&client=summon |