{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/110744"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/110744","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"SPINE: An infrastructure for secure access and sharing of health data","abstract":"The sharing of medical data, especially in electronic form, is becoming increasingly commonplace. Throughout the years, we have found people sharing this data using a bevy of different channels including email, USB thumb drives, or registered postage. These methods of information flow are vulnerable to attack and onerous for institutions to track involved participants. We propose SPINE, a distributed ledger-based medical data sharing file system framework designed to fulfill the needs of accountable and trackable transmission of the Electronic Medical Records (EMR), with the ability to provide continuous sensitive data monitoring services even at offline storage. In addition, we introduce the EMR simulator, an end-to-end simulation tool capable of generating synthetic EMR data, performing heuristic-based EMR modifications, and encoding simulation progress and results in the form of blockchain transactions.","abstract_html":"The sharing of medical data, especially in electronic form, is becoming increasingly commonplace. Throughout the years, we have found people sharing this data using a bevy of different channels including email, USB thumb drives, or registered postage. These methods of information flow are vulnerable to attack and onerous for institutions to track involved participants. We propose SPINE, a distributed ledger-based medical data sharing file system framework designed to fulfill the needs of accountable and trackable transmission of the Electronic Medical Records (EMR), with the ability to provide continuous sensitive data monitoring services even at offline storage. In addition, we introduce the EMR simulator, an end-to-end simulation tool capable of generating synthetic EMR data, performing heuristic-based EMR modifications, and encoding simulation progress and results in the form of blockchain transactions.","abstract_has_math":false,"creators":["Liu, Huiyuan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Kalbarczyk, Zbigniew"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-09-17T02:34:48Z","date_published":"2021-09-17T02:34:48Z","updated_at":"2026-07-22T22:24:52Z","subjects":["EMR Sharing","Blockchain","Data provenance auditing"],"languages":["en"],"rights":["Copyright 2021 Huiyuan Liu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/110744","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kalbarczyk, Zbigniew"]},{"key":"dc:creator","label":"Author","values":["Liu, Huiyuan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-09-17T02:34:48Z","2023-09-17T02:34:57Z","2021-04-27","2021-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["EMR Sharing","Blockchain","Data provenance auditing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Huiyuan Liu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/110744"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The sharing of medical data, especially in electronic form, is becoming increasingly commonplace. Throughout the years, we have found people sharing this data using a bevy of different channels including email, USB thumb drives, or registered postage. These methods of information flow are vulnerable to attack and onerous for institutions to track involved participants. We propose SPINE, a distributed ledger-based medical data sharing file system framework designed to fulfill the needs of accountable and trackable transmission of the Electronic Medical Records (EMR), with the ability to provide continuous sensitive data monitoring services even at offline storage. In addition, we introduce the EMR simulator, an end-to-end simulation tool capable of generating synthetic EMR data, performing heuristic-based EMR modifications, and encoding simulation progress and results in the form of blockchain transactions.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","The student, Huiyuan Liu, accepted the attached license on 2021-04-26 at 13:18.","The student, Huiyuan Liu, submitted this Thesis for approval on 2021-04-26 at 13:30.","This Thesis was approved for publication on 2021-04-27 at 12:01.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16560 on 2021-09-16 at 17:05:19","Made available in DSpace on 2021-09-17T02:34:48Z (GMT). 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Throughout the years, we have found people sharing this data using a bevy of different channels including email, USB thumb drives, or registered postage. These methods of information flow are vulnerable to attack and onerous for institutions to track involved participants. We propose SPINE, a distributed ledger-based medical data sharing file system framework designed to fulfill the needs of accountable and trackable transmission of the Electronic Medical Records (EMR), with the ability to provide continuous sensitive data monitoring services even at offline storage. In addition, we introduce the EMR simulator, an end-to-end simulation tool capable of generating synthetic EMR data, performing heuristic-based EMR modifications, and encoding simulation progress and results in the form of blockchain transactions.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","The student, Huiyuan Liu, accepted the attached license on 2021-04-26 at 13:18.","The student, Huiyuan Liu, submitted this Thesis for approval on 2021-04-26 at 13:30.","This Thesis was approved for publication on 2021-04-27 at 12:01.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16560 on 2021-09-16 at 17:05:19","Made available in DSpace on 2021-09-17T02:34:48Z (GMT). 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