Abstract
Nowadays there exists a plethora of diverse data sources producing tons of healthcare data, augmenting the size of data that finally is stored both in Electronic Health Records (EHRs) and in Personal Health Records (PHRs). Thus, the great challenge that emerges is not only to gather all this data in an efficient and effective manner, but also to extract knowledge out of it. The latter is the key factor that enables healthcare professionals to take serious clinical decisions both on individual and on collective level, finally forming representative public health policies. Towards this direction, the current paper proposes a system that supports a new paradigm of EHRs, the eXtended Health Records (XHRs), which include the majority of the health determinants. XHRs are then transformed into XHRs Networks that capture the clinical, social and human context of diverse population segmentations, producing the corresponding collective knowledge. By exploiting this knowledge, the proposed system is finally able to create multi-modal policies, addressing various facts and evolving risks that arise from diverse population segmentations.
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Top 10 Challenges Healthcare Companies Face Today. https://www.finoit.com/blog/top-10-healthcare-challenges/. Accessed April 2021
The State of Healthcare Industry – Statistics for 2021. https://policyadvice.net/insurance/insights/healthcare-statistics/. Accessed April 2021
WHO: Analysis of third global survey on eHealth based on the reported data by countries (2016). https://www.who.int/gho/goe/electronic_health_records/en/. April 2021
Menachemi, N., Collum, T.H.: Benefits and drawbacks of electronic health record systems. Risk Manag. Healthc. Policy 4, 47 (2011)
Bate, L., Hutchinson, A., Underhill, J., Maskrey, N.: How clinical decisions are made. Br. J. Clin. Pharmacol. 74(4), 614–620 (2012)
Kahn, J.S., Aulakh, V., Bosworth, A.: What it takes: characteristics of the ideal personal health record. Health Aff. 28(2), 369–376 (2012)
Cyganek, B., et al.: A survey of big data issues in electronic health record analysis. Appl. Artif. Intell. 30(6), 497–520 (2016)
Boccia, S.: Why is personalized medicine relevant to public health? Eur. J. Public Health 24, 349–350 (2014)
Swati, B.B., Jayashree, R.P.: Machine learning approach to revolutionize use of holistic health records for personalized healthcare. Int. J. Adv. Sci. Technol. 29(05), 313–321 (2020)
Benson, T.: Principles of Health Interoperability HL7 and SNOMED. Springer, London (2012). https://doi.org/10.1007/978-1-4471-2801-4
Kruse, C., Stein, A., Thomas, H., Kaur, H.: The use of electronic health records to support population health: a systematic review of the literature. J. Med. Syst. 42 (2018). https://doi.org/10.1007/s10916-018-1075-6
Asimakopoulos, S., Asimakopoulos, G., Spillers, F.: Motivation and user engagement in fitness tracking: Heuristics for mobile healthcare wearables. Informatics 4(1), 5 (2017). Multidisciplinary Digital Publishing Institute
Runtastic. Runtasitc: Running, Cycling and Fitness GPS Tracker. https://www.runtastic.com. Accessed April 2021
Runkeeper. Runkeeper - Track your runs, walks and more with your iPhone or Android phone. https://runkeeper.com. Accessed April 2021
FitBit. Fitbit Official Site for Activity Trackers & More. https://www.fitbit.com. Accessed April 2021
Garmin. Garmin Connect. https://connect.garmin.com. Accessed April 2021
Strava. Strava| Run and Cycling Tracking on the Social Network for Athletes. https://www.strava.com. Accessed April 2021
Misfit. Smartwatches, Fitness Trackers & Wearable Technology – Misfit. https://misfit.com. Accessed April 2021
Nokia. Nokia Health (Withings)| Connected health devices for the whole family: scales, activity & HR monitors, thermometer, camera…. https://health.nokia.com. Accessed April 2021
iHealth. iHealth Labs Europe - Connected Health. https://ihealthlabs.eu. Accessed April 2021
Noura, S.A.-H., Eimear, E.K.: Personalized medicine and the power of electronic health records. Cell 177(1), 58–69 (2019)
Bennett, C.C.: Utilizing RxNorm to support practical computing applications: capturing medication history in live electronic health records. J. Biomed. Inform. 45(4), 634–641 (2012)
Dorda, W., Duftschmid, G., Gerhold, L., Gall, W., Gambal, J.: Introducing the Electronic Health Record in Austria. Studies in Health Technology and Informatics, vol. 116. IOS Press, Amsterdam (2005)
Haveman, H., Flim, C.: eHealth Strategy and Implementation Activities in the Netherlands. eHalth ERA Project (2007)
Xu, J., Gao, X., Sorwar, G., Crol, I.P.: Implementation of e-health record systems in Australia. Int. Technol. Manag. Rev. 3(2), 92–104 (2013)
Chiaravalloti, M.T., Ciampi, M., Pasceri, E., Sicuranza, M., De Pietro, G., Guarasci, R.: A model for realizing interoperable EHR systems in Italy. In: Proceedings of the 15th International HL7 Interoperability Conference (2015)
Jensen, P.B., Jensen, L.J., Brunak, S.: Mining electronic health records: towards better research applications and clinical care. Nat. Rev. Genet. 13(6), 395–405 (2012)
Chousiadas, D., Menychtas, A., Tsanakas, P., Maglogiannis, I.: Advancing quantified-self applications utilizing visual data analytics and the Internet of Things. In: Iliadis, L., Maglogiannis, I., Plagianakos, V. (eds.) AIAI 2018. IAICT, vol. 520, pp. 263–274. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92016-0_24
Cohen, M.J., et al.: Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis. Crit. Care 14(1), 1–11 (2010)
Huang, G.T., Cunningham, K.I., Benos, P.V., Chennubhotla, C.S.: Spectral clustering strategies for heterogeneous disease expression data. In: Pacific Symposium on Biocomputing. NIH Public Access, pp. 212 (2013)
Pew research Centre. Internet Project survey of US citizens, pewinternet.org 2012. www.pewinternet.org. Accessed April 2021
Kho, A.N., et al.: Electronic medical records for genetic research: results of the eMERGE consortium. Sci. Transl. Med. 3, 79re1 (2011)
Nelson, C.A., Butte, A.J., Baranzini, S.E.: Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings. Nat. Commun. 10, 3045 (2019)
Winslow, C.E.A.: The Evolution and Significance of the Modern Public Health Campaign. Yale University Press, New York (1923)
Turnock, B.: Public Health. Jones & Bartlett Publishers, Burlington (2012)
Kremastinou-Kourea, J.: Public Health: Theory, Action, Policies. Publications Technogramma, Athens (2007)
National Action Plan for Public Health 2008 – 2012, Ministry of Health & Social Solidarity, Athens 2008. https://www.moh.gov.gr/articles/health/domes-kai-draseis-gia-thn-ygeia/ethnika-sxedia-drashs/95-ethnika-sxedia-drashs. Accessed April 2021
National Action Plan for Public Health 2019 – 2022, Ministry of Health, National Council for Public Health, Athens 2019. https://www.moh.gov.gr/articles/health/domes-kai-draseis-gia-thn-ygeia/ethnika-sxedia-drashs/6237-ethniko-sxedio-drashs-gia-thn-dhmosia-ygeia. Accessed April 2021
Kiourtis, A., Mavrogiorgou, A., Menychtas, A., Maglogiannis, I., Kyriazis, D.: Structurally mapping healthcare data to HL7 FHIR through ontology alignment. J. Med. Syst. 43(3), 62 (2019)
Acknowledgement
The research has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code: BeHEALTHIER - T2EDK-04207).
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Kleftakis, S. et al. (2021). Analyzing Collective Knowledge Towards Public Health Policy Making. In: Maglogiannis, I., Macintyre, J., Iliadis, L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 628. Springer, Cham. https://doi.org/10.1007/978-3-030-79157-5_15
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DOI: https://doi.org/10.1007/978-3-030-79157-5_15
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