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Health Data

Paul B. Lambert · Auerbach Publications eBooks · 2017

Cited by 0

Health Data

Stefano Corso · Research Padua Archive (University of Padua) · 2025

Il testo osserva la disciplina della protezione dei dati relativi alla salute nel diritto europeo ed eurounitario e in chiave comparatistica. Sono presi in esame, in particolare, gli ordinamenti tedesco, italiano e francese. Si compie infine un'ulteriore riflessione relativamente ai sistemi statunitense e cinese. The text looks at the regulation of health data protection in European and EU law and from a comparative perspective. In particular, the German, Italian and French systems are examined. Finally, the US and Chinese systems are also considered.

Cited by 0

Health Data

Singh, Amrik · Data Archiving and Networked Services (DANS) · 2019

This health data set also contains 16 attributes collected from different clinical lab and hospital on the basis of which risk analysis can be done

Cited by 0Open access

Health Data Material Data

Lisa Allen · Zenodo (CERN European Organization for Nuclear Research) · 2021

http://vle.ar-raniry.ac.id/eportfolios/30218/Folital_Amazon/Folital_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30219/Restolin_Amazon/Restolin_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30220/VitaMove_Amazon/VitaMove_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30221/Complete_Collagen_Plus_Amazon/Complete_Collagen_Plus_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30222/Lift_Factor_Plus_Amazon/Lift_Factor_Plus_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30224/Dentitox_Pro_Amazon/Dentitox_Pro_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30225/MannaSlim_Amazon/MannaSlim_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30226/MonsterFX7_Amazon/MonsterFX7_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30227/Glucofort_Amazon/Glucofort_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30228/DentaForce_Amazon/DentaForce_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30229/Alpha_Xtra_Boost_Amazon/Alpha_Xtra_Boost_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30230/MitoBoost_Amazon/MitoBoost_Amazon+\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30231/BioShield_MD_Amazon/BioShield_MD_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30232/ZTox_Amazon/ZTox_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30233/Jaylab_Pro_T20_Amazon/Jaylab_Pro_T20_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30234/Smilz_CBD_Full_Spectrum_Softgels_Amazon/Smilz_CBD_Full_Spectrum_Softgels_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30235/Derma_Prime_Plus_Amazon/Derma_Prime_Plus_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30236/GoLow_Keto_Amazon/GoLow_Keto_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30237/KetoGo_Amazon/KetoGo_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30238/MemoDefend_Amazon/MemoDefend_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30239/Diabacore_Amazon/Diabacore_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30240/PX7_Primal_Flow_Amazon/PX7_Primal_Flow_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30241/Fungus_Clear_Amazon/Fungus_Clear_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30242/NZT48_Amazon/NZT48_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30243/IKIGAI_Amazon/IKIGAI_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30244/Lift_Factor_Plus_Amazon/Lift_Factor_Plus_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30246/Exhale_PM_Amazon/Exhale_PM_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30247/Smilz_Delta_8_Gummies_Amazon/Smilz_Delta_8_Gummies_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30250/Gluco_Shield_Pro_Amazon/Gluco_Shield_Pro_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30251/Memo_Surge_Amazon/Memo_Surge_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30252/Ayruvalean_Amazon/Ayruvalean_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30253/RingHush_Amazon/RingHush_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30254/VitaCell_Plus_Amazon/VitaCell_Plus_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30255/Man_Sleep_Amazon/Man_Sleep_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30256/Anabolic_Boost_Amazon/Anabolic_Boost_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30257/Ageless_LX_Amazon/Ageless_LX_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30258/RemBalance_Amazon/RemBalance_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30259/Sonavel_Amazon/Sonavel_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30260/Nano_C_Amazon/Nano_C_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30261/Vista_Clear_Amazon/Vista_Clear_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30313/One_Shot_Keto_Pro_Amazon/One_Shot_Keto_Pro_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30314/Internal_911_Amazon/Internal_911_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30315/Skincell_Advanced_Amazon/Skincell_Advanced_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30316/Healthygen_Turmaslim_Amazon/Healthygen_Turmaslim_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30317/KetoPower_Boost_Amazon/KetoPower_Boost_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30318/Joint_Support_Amazon/Joint_Support_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30319/Keto_Hack_Amazon/Keto_Hack_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30320/BioFit_Amazon/BioFit_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30321/Memo_Max_Pro_Amazon/Memo_Max_Pro_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30322/Ultra_Boost_Juice_Amazon/Ultra_Boost_Juice_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30323/Phen24_Amazon/Phen24_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30324/LeptiSense_Amazon/LeptiSense_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30325/SANE_Viscera3_Amazon/SANE_Viscera3_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30326/Berberine_Amazon/Berberine_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30327/Tetrogen_Day_and_Night_Amazon/Tetrogen_Day_and_Night_Amazon\n\n\nhttp://vle.ar-raniry.ac.id/eportfolios/30328/Spade_sb66_Ama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Cited by 0Open access

Health Data and Data Governance

Evelyn Hovenga, Heather Grain · Studies in health technology and informatics · 2013

Health is a knowledge industry, based on data collected to support care, service planning, financing and knowledge advancement. Increasingly there is a need to collect, retrieve and use health record information in an electronic format to provide greater flexibility, as this enables retrieval and display of data in multiple locations and formats irrespective of where the data were collected. Electronically maintained records require greater structure and consistency to achieve this. The use of data held in records generated in real time in clinical systems also has the potential to reduce the time it takes to gain knowledge, as there is less need to collect research specific information, this is only possible if data governance principles are applied. Connected devices and information systems are now generating huge amounts of data, as never before seen. An ability to analyse and mine very large amounts of data, "Big Data", provides policy and decision makers with new insights into varied aspects of work and information flow and operational business patterns and trends, and drives greater efficiencies, and safer and more effective health care. This enables decision makers to apply rules and guidance that have been developed based upon knowledge from many individual patient records through recognition of triggers based upon that knowledge. In clinical decision support systems information about the individual is compared to rules based upon knowledge gained from accumulated information of many to provide guidance at appropriate times in the clinical process. To achieve this the data in the individual system, and the knowledge rules must be represented in a compatible and consistent manner. This chapter describes data attributes; explains the difference between data and information; outlines the requirements for quality data; shows the relevance of health data standards; and describes how data governance impacts representation of content in systems and the use of that information.

Cited by 11

Brisbane Health-y Data: Licencing health and sensitive data

Australian National Data Service, Olesen, Sarah · Figshare · 2016

Presentation given by Sarah Olesen at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.

Cited by 0Open access

Brisbane Health-y Data: Licensing health and sensitive data

Data Service, Australian National, Olesen, Sarah · Figshare · 2016

Presentation given by Sarah Olesen at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.

Cited by 0Open access

Health Data with the European Health Data Space (EHDS)

Kurt Höller, Lisa Walter · 2026

The European Health Data Space (EHDS) addresses the regulatory gap left by GDPR, establishing a comprehensive legal framework for responsible health data use across Europe. This ambitious initiative, central to the EU’s digital strategy, aims to bolster digital sovereignty, fuel the European healthtech industry, and reduce reliance on non-EU tech entities. The EHDS empowers citizens with control over their personal health data, facilitating seamless access and secure sharing for individual care (primary use). It also enables the regulated, ethical utilization of aggregated data for vital research, innovation, and policymaking (secondary use). By fostering common standards and infrastructure, the EHDS seeks to create a single market for digital health services, promising significant advancements in healthcare and medical research. However, realizing these benefits demands overcoming substantial hurdles: achieving robust data interoperability across diverse national systems, building public trust through transparent governance and stringent cybersecurity, and ensuring careful alignment with existing complex healthcare legislation. Successful phased implementation will require concerted Member State efforts to develop secure, user-friendly, and cross-border infrastructures, alongside proactive communication to address public skepticism and unlock the EHDS’s transformative potential for an effective and resilient European Health Union.

Cited by 0Open access

Brisbane Health-y Data: Licensing health and sensitive data

Australian National Data Service, Olesen, Sarah · Figshare · 2016

Presentation given by Sarah Olesen at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.

Cited by 0Open access