Health Datasets as Assets: Blockchain-Based Valuation and Transaction Methods
Keywords:blockchain, data sales, data valuation, intangible assets
There is increasing recognition that health-oriented datasets could be regarded as intangible assets: distinct assets with future economic benefits but without physical properties. While health-oriented datasets—particularly health records—are ascribed monetary value on the black market, there are few established methods for assessing value for legitimate research and business purposes.
The emergence of blockchain has created new commerce opportunities for transferring assets without intermediaries. Therefore, blockchain is proposed as a medium by which research datasets could be transacted to provide future value. Blockchain methodologies also offer security, auditability, and transparency to authorized individuals for verifying transactions. The authors will share data valuation methodologies consistent with accounting principles and include discussions of black market valuation of health data. Further, this article describes blockchain-based methods of managing real-time payment/micropayment strategies.
Demuro P, Petersen C, Turner P. Health “big data” value, benefit, and control: the patient ehealth equity gap. Stud Health Technol Inform 2020; 270: 1123–7. doi: 10.3233/SHTI200337
Tang C, Plasek JM, Bates DW. Rethinking data sharing at the dawn of a health data economy: a viewpoint. J Med Internet Res 2018; 20(11): e11519. doi: 10.2196/11519
Food and Drug Administration. Framework for FDA’s real-world evidence program. Silver Spring, MD; 2018. Available from: https://www.fda.gov/media/120060/download [cited 12 September 2021].
Food and Drug Administration. Role of RWE in regulatory decision-making. Silver Spring, MD; 2021. Available from: https://www.fda.gov/drugs/news-events-human-drugs/fda-approval-demonstrates-role-real-world-evidence-regulatory-decision-making-drug-effectiveness [cited 12 September 2021].
Food and Drug Administration. Real-world evidence. Silver Spring, MD; 2021. Available from: https://www.fda.gov/science-research/science-and-research-special-topics/real-world-evidence [cited 12 September 2021].
Przepiorka D, Ko C-W, Deisseroth A, Yancey CL, Candau-Chacon R, Chiu H-J, et al. FDA approval: blinatumomab. Clin Cancer Res 2015; 21(18): 4035–9. doi: 10.1158/1078-0432.CCR-15-0612
Food and Drug Administration, Center for Drug Evaluation. FDA approves new use of transplant drug based on real-world evidence. Silver Spring, MD; 2021. Available from: https://www.fda.gov/drugs/news-events-human-drugs/fda-approves-new-use-transplant-drug-based-real-world-evidence [cited 7 October 2021].
Wang X, Feng Q, Chai J. The research of consortium blockchain dynamic consensus based on data transaction evaluation. In: Proceedings of 2018 11th International Symposium on Computational Intelligence and Design (ISCID). Piscataway, NJ: IEEE; 2018, pp. 214–17. doi: 10.1109/ISCID.2018.10150
Agarwal A, Dahleh M, Sarkar T. A marketplace for data: an algorithmic solution. In: EC ‘19: Proceedings of the 2019 ACM Conference on Economics and Computation. New York: Association for Computing Machinery; 2019, pp. 701–26. doi: 10.1145/3328526.3329589
Moro Visconti R. Blockchain valuation: Internet of value and smart transactions. In: Moro Visconti R, ed. The valuation of digital intangibles. Cham: Palgrave Macmillan; 2020, pp. 401–22. doi: 10.1007/978-3-030-36918-7_16
Office for Civil Rights. Marketing: health information privacy. Washington, DC: US Department of Health and Human Services; 2009. Available from: https://www.hhs.gov/hipaa/for-professionals/privacy/guidance/marketing/index.html [cited 19 September 2021].
DNA Token. Pompano Beach, FL: EncrypGen; 2021. Available from: https://encrypgen.com/dna-token/ [cited 19 September 2021].
Elvidge S. Roche buys cancer data company Flatiron Health for $1.9B. Washington, DC: Biopharma Dive; 2018. Available from: https://www.biopharmadive.com/news/roche-buys-cancer-data-company-flatiron-health-for-19b/517285/ [cited 19 September 2021].
Cutler JE. How can patients make money off their medical data? Arlington, VA: Bloomberg Law; 2019. Available from: https://news.bloomberglaw.com/pharma-and-life-sciences/how-can-patients-make-money-off-their-medical-data [cited 19 September 2021].
Fisher M. Google-ascension: why is HIPAA probably not being violated? Atlanta, GA: Health IT Consultant; 2019. Available from: https://hitconsultant.net/2019/11/13/google-ascension-why-is-hipaa-probably-not-being-violated/ [cited 19 September 2021].
HIPAA Journal. Google confirms it has legitimate access to millions of Ascension patients’ health records. Sherman Oaks, CA; 2019. Available from: https://www.hipaajournal.com/google-confirms-it-has-legitimate-access-to-millions-of-ascension-patients-health-records/ [cited 19 September 2021].
Ross C. Backed by hospitals, Truveta wades into the business of selling health data. Boston, MA: STAT; 2021. Available from: https://www.statnews.com/2021/02/17/truveta-patient-data-terry-myerson/ [cited 19 September 2021].
Wang D, Liu W, Liang Y, Wei S. Decision optimization in service supply chaIn: the impact of demand and supply-driven data value and altruistic behavior. Ann Oper Res 2021. doi: 10.1007/s10479-021-04018-y
Li H, Li H, Wen Z, Mo J, Wu J. Distributed heterogeneous storage based on data value. In: Proceedings of 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). Piscataway, NJ: IEEE; 2017, pp. 264–71. doi: 10.1109/itnec.2017.8284985
Nolin JM. Data as oil, infrastructure or asset? Three metaphors of data as economic value. J Inform Commun Ethics Soc 2019;18(1):28–43. doi: 10.1108/JICES-04-2019-0044
Financial Accounting Standards Board. Statement of financial accounting concepts No 2. 2008. Report No.: CON2. Available from: https://www.fasb.org/jsp/FASB/Document_C/DocumentPage?cid=1218220132599&acceptedDisclaimer=true [cited 26 September 2021].
Financial Accounting Standards Board. Statement of financial accounting concepts No. 6. 2008. Report No.: CON6. Available from: https://www.fasb.org/jsp/FASB/Document_C/DocumentPage?cid=1218220132831&acceptedDisclaimer=true [cited 8 October 2021].
Banterle F. Data ownership in the data economy: a European dilemma. Rochester, New York, USA: SSRN; 2018. No.: 3277330. doi: 10.2139/ssrn.3277330
Suarez SG, le Roux CL, Saxunová D, Li Y. Intangible assets as invisible value in the global business environment. In: Nováčková D, Saxunová D, Delaneuville F, eds. European Union and its new challenges in the digitalized age. Prague: Wolters Kluwer; 2020, pp. 140–50. Available from: https://www.fm.uniba.sk/fileadmin/fm/Veda/projekty/Jean_Monnet_project/Book_of_Chapters_-70-Schuman-170x240__5_.pdf [cited 8 October 2021].
Bendechache M, Limaye N, Brennan R. Towards an automatic data value analysis method for relational databases. In: Filipe J, Smialek M, Brodsky A, Hammoudi S, eds. Proceedings of the 22nd International Conference on Enterprise Information Systems. Setúbal, Portugal: SciTePress, Science and Technology Publications, Lda; 2020, pp. 833–40. doi: 10.5220/0009575508330840
Vezyridis P, Timmons S. E-Infrastructures and the divergent assetization of public health data: expectations, uncertainties, and asymmetries. Soc Stud Sci 2021;51(4):606–27. doi: 10.1177/0306312721989818
Valavi E, Hestness J, Ardalani N, Iansiti M. Time and the value of data. Harvard Business School; 2020. Report No.: 21-016. Available from: https://www.hbs.edu/ris/Publication%20Files/WP21-016_277b3482-f84f-4a6c-8dbc-00e6826bf1a2.pdf [cited 19 September 2021].
Nasonov D, Visheratin AA, Boukhanovsky A. Blockchain-based transaction integrity in distributed big data marketplace. In: Shi Y, Fu H, Tian Y, Krzhizhanovskaya VV, Lees MH, Dongarra J, et al., eds. Computational science – ICCS 2018. Cham: Springer; 2018, pp. 569–77. doi: 10.1007/978-3-319-93698-7_43
Schwartz R, Platten D, Nadell D. How much is your data worth? Duff & Phelps; 2020. Available from: https://www.duffandphelps.com/-/media/assets/pdfs/webcasts/how-much-is-your-data-worth.pdf [cited 28 September 2021].
Firica O, Manaicu A. How to appraise the data assets of a company. Qual Access Success 2018; 19(S3): 41–9. Available from: https://www.srac.ro/calitatea/en/arhiva/supliment/2018/Q-asContents_Vol.19_S3_October-2018.pdf [cited 9 October 2021].
Hitchner JR. Financial valuation workbook: step-by-step exercises and tests to help you master financial valuation. Hoboken, NJ: John Wiley & Sons; 2017, 480 p. Available from: https://play.google.com/store/books/details?id=kArGDgAAQBAJ [cited 9 October 2021].
Mamoshina P, Ojomoko L, Yanovich Y, Ostrovski A, Botezatu A, Prikhodko P, et al. Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare. Oncotarget 2018; 9(5): 5665–90. doi: 10.18632/oncotarget.22345
Lawrenz S, Andreas SPR. Blockchain technology as an approach for data marketplaces. In: ICBCT 2019: Proceedings of the 2019 International Conference on Blockchain Technology. New York: Association for Computing Machinery; 2019, pp. 52–9. doi: 10.1145/3320154.3320165
Yao L, Jia Y, Zhang H, Long K, Pan M, Yu S. A decentralized private data transaction pricing and quality control method. In: ICC 2019 – 2019 IEEE International Conference on Communications (ICC). Piscataway, NJ: IEEE; 2019. doi: 10.1109/icc.2019.8761577
Zozus MN, Bonner J. Towards data value-level metadata for clinical studies. In: Lau F, Bartle-Clar J, Bliss G, Borycki E, Courtney K, Kuo A, eds. Building capacity for health informatics in the future. Amsterdam: IOS Press; 2017, pp. 418–23. doi: 10.3233/978-1-61499-742-9-418
Stack B. Here’s how much your personal information is selling for on the dark web. Dublin, Ireland: Experian; 2017. Available from: https://www.experian.com/blogs/ask-experian/heres-how-much-your-personal-information-is-selling-for-on-the-dark-web/ [cited 21 September 2021].
Robinson SC. What’s your anonymity worth? Establishing a marketplace for the valuation and control of individuals’ anonymity and personal data. Digit Policy Regul Gov 2017; 39: 88. doi: 10.1108/DPRG-05-2017-0018
Chernyshev M, Zeadally S, Baig Z. Healthcare data breaches: implications for digital forensic readiness. J Med Syst 2018; 43(1): 7. doi: 10.1007/s10916-018-1123-2
Seh AH, Zarour M, Alenezi M, Sarkar AK, Agrawal A, Kumar R, et al. Healthcare data breaches: insights and implications. Healthcare (Basel) 2020; 8(2): 133. doi: 10.3390/healthcare8020133
Trustwave global security report. Greenwood Village, CO: Trustwave; 2019. Available from: https://www.trustwave.com/en-us/resources/library/documents/2019-trustwave-global-security-report/ [cited 21 September 2021].
Birch K, Chiappetta M, Artyushina A. The problem of innovation in technoscientific capitalism: data rentership and the policy implications of turning personal digital data into a private asset. Policy Stud 2020; 41(5): 468–87. doi: 10.1080/01442872.2020.1748264
Goasduff L. Gartner top 10 trends in data and analytics for 2020. Stamford, CT; 2020. Available from: https://www.gartner.com/smarterwithgartner/gartner-top-10-trends-in-data-and-analytics-for-2020 [cited 22 September 2021].
van de Ven M, Abbas AE, Roosenboom-Kwee Z, de Reuver M. Creating a taxonomy of business models for data marketplaces. In: Pucihar A, Kljajić Borštnar M, Bons R, Cripps H, Vidmar D, Perša J, eds. 34th Bled eConference Digital Support from Crisis to Progressive Change Conference Proceedings. Maribor: University Maribor Press; 2021, pp. 313–25. doi: 10.18690/978-961-286-485-9
Stahl F, Schomm F, Vossen G, Vomfell L. A classification framework for data marketplaces. Vietnam J Comput Sci 2016; 3(3): 137–43. doi: 10.1007/s40595-016-0064-2
Hayashi T, Ohsawa Y. TEEDA: an interactive platform for matching data providers and users in the data marketplace. Information 2020; 11(4): 218. doi: 10.3390/info11040218
Gray K. Consortia, buying groups and trends in demand aggregation. Cleveland, OH; 2003. Available from: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.584.5281&rep=rep1&type=pdf [cited 27 September 2021].
Fruhwirth M, Rachinger M, Prlja E. Discovering business models of data marketplaces. In: Bui TX, ed. Proceedings of the 53rd Hawaii International Conference on System Sciences. Honolulu, HI: University of Hawai’i; 2020, pp. 5738–47. doi: 10.24251/HICSS.2020.704
Dai W, Dai C, Choo K-KR, Cui C, Zou D, Jin H. SDTE: a secure blockchain-based data trading ecosystem. IEEE Trans Inform Forensics Secur 2020; 15: 725–37. doi: 10.1109/TIFS.2019.2928256
Spiekermann M. Data marketplaces: trends and monetisation of data goods. Intereconomics 2019; 54(4): 208–16. doi: 10.1007/s10272-019-0826-z
Ahmed E, Shabani M. DNA data marketplace: an analysis of the ethical concerns regarding the participation of the individuals. Front Genet 2019; 10: 1107. doi: 10.3389/fgene.2019.01107
Laoutaris N. Why online services should pay you for your data? The arguments for a human-centric data economy. IEEE Internet Comput 2019; 23(5): 29–35. doi: 10.1109/MIC.2019.2953764
Zhu L, Dong H, Shen M, Gai K. An incentive mechanism using Shapley value for blockchain-based medical data sharing. In: 2019 IEEE 5th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS). Piscataway, NJ: IEEE; 2019, pp. 113–18. doi: 10.1109/BigDataSecurity-HPSC-IDS.2019.00030
Wang Z, Zheng Z, Jiang W, Tang S. Blockchain-enabled data sharing in supply chains: model, operationalization, and tutorial. Prod Oper Manag 2021; 30(7): 1965–85. doi: 10.1111/poms.13356
Grabis J, Stankovski V, Zariņš R. Blockchain enabled distributed storage and sharing of personal data assets. In: Proceedings of the 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW). Piscataway, NJ: IEEE; 2020, pp. 11–17. doi: 10.1109/ICDEW49219.2020.00-13
Lee CK. Blockchain application with health token in medical & health industrials. In: Zhao S, ed. Proceedings of the 2nd International Conference on Social Science, Public Health and Education (SSPHE 2018). Paris, France: Atlantis Press; 2019, pp. 233–6. doi: 10.2991/ssphe-18.2019.55
Täuscher K, Laudien SM. Understanding platform business models: a mixed methods study of marketplaces. Eur Manag J 2018; 36(3): 319–29. doi: 10.1016/j.emj.2017.06.005
Brennan B. BurstIQ – Blockchain platform for securing, analyzing and monetizing all of your PHI. Park City, UT: Blockchain Healthcare Review; 2017. Available from: https://blockchainhealthcarereview.com/burstiq-blockchain-platform-for-securing-analyzing-and-monetizing-all-of-your-phi/ [cited 22 September 2021].
BurstIQ Technology. Denver, CO; 2020. Available from: https://www.burstiq.com/technology/ [cited 22 September 2021].
BurstIQ Foundry. Denver, CO; 2021. Available from: https://www.burstiq.com/foundry/ [cited 22 September 2021].
Raths D. Invitae to purchase patient-centric medical records company Citizen. Jacksonville, FL: Healthcare Innovation; 2021. Available from: https://www.hcinnovationgroup.com/finance-revenue-cycle/mergers-acquisitions/news/21237543/invitae-to-purchase-patientcentric-medical-records-company-ciitizen [cited 22 September 2021].
Campbell J. Why one startup turned away from medical record portability. San Francisco, CA: Medium; 2018. Available from: https://medium.com/@cmpbl/why-one-startup-turned-away-from-medical-record-portability-9a8cacf49794 [cited 22 September 2021].
Ciitizen – FAQ. Tokyo, Japan; 2020. Available from: https://www.ciitizen.com/faq/ [cited 22 September 2021].
Draskovic D, Saleh G. Datapace: decentralized data marketplace based on blockchain. Villarceaux, France: Datapace.io; 2017. Available from: https://datapace.io/datapace_whitepaper.pdf [cited 19 September 2021].
Haenni R. Datum network: the decentralized data marketplace. Zug, Switzerland: Datum; 2017. Available from: https://datum.org/assets/Datum-WhitePaper.pdf [cited 23 September 2021].
Data exchange platform. Lyon, France: Dawex Systems; 2021. Available from: https://www.dawex.com/en/data-exchange-platform/ [cited 21 September 2021].
Fernandez RC, Subramaniam P, Franklin MJ. Data market platforms: trading data assets to solve data problems. In: Balazinska M, Zhou X, eds. Proceedings of the VLDB Endowment. New York, NJ: Association for Computing Machinery; 2020, pp. 1933–47. doi: 10.14778/3407790.3407800
Embleema – Home. Metuchen, NJ; 2019. Available from: https://embleema.com/ [cited 22 September 2021].
Embleema – Patient advocacy groups. Metuchen, NJ; 2020. Available from: https://embleema.com/solutions/patient-advocacy-groups/ [cited 22 September 2021].
Embleema – Virtual studies. Metuchen, NJ; 2020. Available from: https://embleema.com/virtual-studies/ [cited 22 September 2021].
Vahdati M, Gholizadeh HamlAbadi K, Saghiri AM. IoT-Based healthcare monitoring using blockchain. In: Namasudra S, Deka GC, eds. Applications of blockchain in healthcare. Singapore: Springer; 2021, pp. 141–70. doi: 10.1007/978-981-15-9547-9_6
Enigma – Securing the decentralized web. San Francisco, CA; 2020. Available from: https://www.enigma.co/about/ [cited 23 September 2021].
Hu-manity – Frequently asked questions. Sparta, NJ: Hu-manity.co; 2021. Available from: https://hu-manity.co/faqs/ [cited 23 September 2021].
Harris R. If your medical information becomes a moneymaker, could you get a cut? Washington, DC: NPR; 2018. Available from: https://www.npr.org/sections/health-shots/2018/10/15/657493767/if-your-medical-information-becomes-a-moneymaker-could-you-could-get-a-cut [cited 19 September 2021].
LunaPBC. Luna Public Benefit Company. San Diego, CA; 2021. Available from: https://www.lunadna.com/lunapbc/ [cited 09 October 2021].
Nokia Data Marketplace. Espoo, Finland; 2021. Available from: https://www.nokia.com/networks/services/nokia-data-marketplace/ [cited 22 September 2021].
Healthcare blockchain operating system. Portland, OR: Digital Treasury Corporation; 2021. Available from: https://phros.io/services/health_data_market [cited 23 September 2021].
Stein Smith S. Data as an asset. In: Stein Smith S, ed. Blockchain, artificial intelligence and financial services. Cham: Springer; 2020, pp. 213–39. doi: 10.1007/978-3-030-29761-9_17
Ante L. The non-fungible token (NFT) market and its relationship with Bitcoin and Ethereum. Rochester, New York, USA: SSRN; 2021. No.: 3861106. doi: 10.2139/ssrn.3861106
Sandner P, Tóth D, Siadat A, Weber N. Data tokenization: morphing the most valuable good of our time into a democratized asset. Jersey City, NJ: Forbes; 2021. Available from: https://www.forbes.com/sites/philippsandner/2021/07/06/data-tokenization-morphing-the-most-valuable-good-of-our-time-into-a-democratized-asset/ [cited 23 September 2021].
Hapiffah S, Sinaga A. Analysis of blockchain technology recommendations to be applied to medical record data storage applications in Indonesia. Int J Inform Eng Electron Bus 2020; 12(6): 13–27. doi: 10.5815/ijieeb.2020.06.02
Klugman C. Hospitals selling patient records to data brokers: a violation of patient trust and autonomy. Stanford, CA: Bioethics.net; 2018. Available from: https://www.bioethics.net/2018/12/hospitals-selling-patient-records-to-data-brokers-a-violation-of-patient-trust-and-autonomy/ [cited 19 September 2021].
Tlacuilo Fuentes I. Legal recognition of the digital trade in personal data. Mex Law Rev 2020; 12(2): 87–117. doi: 10.22201/iij.24485306e.2020.2.14173
International Society for Biocuration. Biocuration: distilling data into knowledge. PLoS Biol 2018; 16(4): e2002846. doi: 10.1371/journal.pbio.2002846
Be part of something bigger. San Francisco, CA: PicnicHealth; 2021. Available from: https://picnichealth.com/research [cited 19 September 2021].
LunaPBC. Can I lose shares in LunaDNA? LunaDNA Help Center. San Diego, CA; 2018. Available from: https://support.lunadna.com/support/solutions/articles/43000037181-can-i-lose-shares-in-lunadna- [cited 9 October 2021].
Zhao H, Bai X, Zheng S, Wang L. RZcoIn: Ethereum-based decentralized payment with optional privacy service. Entropy 2020; 22(7): 712. doi: 10.3390/e22070712
Internal Revenue Service. 2019 Instructions for Form 1099-MISC. Washington, DC: U.S. Department of the Treasury; 2018. Available from: https://www.irs.gov/pub/irs-prior/i1099msc--2019.pdf [cited 26 September 2021].
Charles W, Marler N, Long L, Manion S. Blockchain compliance by design: regulatory considerations for blockchain in clinical research. Front Blockchain 2019; 2: 00018. doi: 10.3389/fbloc.2019.00018
Tomaz AEB, Nascimento JCD, Hafid AS, De Souza JN. Preserving privacy in mobile health systems using non-interactive zero-knowledge proof and blockchain. IEEE Access 2020; 8: 204441–58. doi: 10.1109/ACCESS.2020.3036811
Zhou L, Wang L, Ai T, Sun Y. BeeKeeper 2.0: confidential blockchain-enabled IoT system with fully homomorphic computation. Sensors (Basel) 2018; 18(11): 3785. doi: 10.3390/s18113785
Rahman MA, Hossain MS, Islam MS, Alrajeh NA, Muhammad G. Secure and provenance enhanced internet of health things framework: a blockchain managed federated learning approach. IEEE Access 2020; 8: 205071–87. doi: 10.1109/ACCESS.2020.3037474
Mandl KD, Perakslis ED. HIPAA and the leak of “deidentified” EHR data. N Engl J Med 2021; 384(23): 2171–3. doi: 10.1056/NEJMp2102616
Wang T, Wu X, He T. Trustable and automated machine learning running with blockchain and its applications. SAS Institute, Inc.; 2019. Available from: http://arxiv.org/abs/1908.05725 [cited 28 September 2021].
Yaga DJ, Mell PM, Roby N, Scarfone K. Blockchain technology overview. Gaithersburg, MD: National Institute of Standards and Technology; 2018. Report No.: 8202. doi: https://doi.org/10.6028/NIST.IR.8202
Hripcsak G, Knirsch C, Zhou L, Wilcox A, Melton G. Bias associated with mining electronic health records. J Biomed Discov Collab 2011; 6: 48–52. doi: 10.5210/disco.v6i0.3581
Wu H-T, Tsai C-W. Toward blockchains for health-care systems: applying the bilinear pairing technology to ensure privacy protection and accuracy in data sharing. IEEE Consum Electron Mag 2018; 7(4): 65–71. doi: 10.1109/MCE.2018.2816306
LaPointe C, Fishbane L. The blockchain ethical design framework. Washington, DC: Georgetown University; 2019. Available from: https://beeckcenter.georgetown.edu/wp-content/uploads/2018/06/The-Blockchain-Ethical-Design-Framework.pdf [cited 26 September 2021].
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