In fact, there are so many different issues to consider, including questions about preemption, enforcement mechanisms, regulatory structure, civil rights implications, law enforcement access and algorithmic accountability. Structured health data are standardized and easily transferable between health information systems. For example, a patient’s name, date of birth, or a blood-test result can be recorded in a structured data format. Emails, audio recordings, or physician notes about a patient are examples of unstructured health data. While advances in health information technology have expanded collection and use, the complexity of health data has hindered standardization in the health care industry.
The framework for action also proposes the creation of an international convening mechanism for validation of artificial intelligence and digital health solutions. Health data can be used to benefit individuals, public health, and medical research and development. Primary use is when health data is used to deliver health care to the individual from whom it was collected.
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These touch points include, clinics/physician offices, pharmacies, payers/insurance companies, hospitals, laboratories, and senior homes. Information is also collected through participation in clinical trials, health agency surveys, medical devices, and genomic testing. This data typically includes a record of services received, conditions of those services, and clinical outcomes consequent of those services. For example, a blood draw may be a service received, a white blood cell count may be a condition of that service, and a reported measurement of white blood cells may be an outcome of that service. Information also frequently collected and found in medical records includes, administrative and billing data, patient demographic information, progress notes, vital signs, medications diagnoses, immunization dates, allergies, and lab results.
Many public health experts have been advocating that health data collection may be the best way to analyse information on a large-scale . However, the data-driven approach has also raised concerns on the side of privacy advocates, who worry about how the collected information is going to be used.
- Provides critical data and analyses for over 30 health themes ranging from health systems to disease-specific themes, as well as direct access to the full database.
- WHO’s portal providing access to data and analyses for monitoring the global health situation.
- There are important and growing opportunities to use health data for improving healthcare quality, surveillance, health system management and research.
- The below link will take you to the San Mateo County All Together Better rheumatoid arthritis site for more data on health outcomes, health behaviors, health care access, and socioeconomic conditions in San Mateo County.
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The advent of eHealth and advances in health information technology, however, have expanded the collection and use of health data—but have also engendered new security, privacy, and ethical concerns. The increasing collection and use of health data by patients is a major component of digital health. At the global level, a strategy on digital health was drafted at the 71th World Health Assembly, in May 2018, in close consultation with Member States and with inputs from stakeholders. The document identifies priority four strategic objectives, emphasising the importance of the transfer of knowledge amongst member states.
Secondary use is when health data is used outside of health care delivery for that individual. Prior to recent technological advances, most health data were collected within health care systems. As individuals move through health care systems, they interact with health care providers and this interaction produces health information.
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As of 2013, it was estimated that approximately 60% of health data in the United States were unstructured. If we applied these capabilities at a global scale, we could capture a single, comprehensive account of global incidence rates and outcomes that was verified and secure. MiPasa onboards data providers through Hacera’s Unbounded network, a decentralized blockchain powered by Hyperledger Fabric, and then streams data using the IBM Blockchain platform and IBM Cloud. Hacera has developed a tutorial for coders to build applications on top of the platform.