![]() Further, there is increasing recognition that many classes of data not traditionally considered to be healthcare-related, for example consumer credit histories, are indeed predictive of health status and outcomes. health privacy laws do not cover data collected by many consumer digital technologies and have not been updated to address concerns about the entry of large technology companies into health care. ![]() New federal laws prioritize sharing health data, including with patient digital tools. ![]() about privacy and the potential for unethical or harmful uses of this data, if not proactively addressed, could upset this balance. ![]() Moving toward a rapid learning system to solve intractable problems in health demands a balance between protecting patients and making data available to improve health and health care. The National Academy of Medicine has long advocated for a “learning healthcare system” that produces constantly updated reference data during the care process. Demonstrating a similar commitment to greater data sharing, particularly with individuals, the Centers for Medicare and Medicaid Services (CMS) now requires health plans under its purview to share claims data with subscribers and hospitals to send alerts to physicians when their patients have been hospitalized 26. ONC's rules also require certified electronic health records (EHRs) used by health care providers to offer open, standard application programming interfaces (APIs), specifically the SMART on FHIR API 23 and the SMART/HL7 Bulk Data API 24,25, to facilitate seamless digital data sharing of electronic health record data, including with individuals and their chosen health apps 24, 25. As directed by the 21st Century Cures Act 21, the federal Office of the National Coordinator for Health IT (ONC) recently finalized rules prohibiting "information blocking," which includes the failure to share health information with individuals or health apps chosen by those individuals 22. ONC's rules also require certified electronic health records (EHRs) used by health care providers to offer open, standard application programming interfaces (APIs), specifically the SMART on FHIR API 23 and the SMART/HL7 Bulk Data API 24, 25, to facilitate seamless digital data sharing of electronic health record data, including with individuals and their chosen health apps 24,25. This scenario will eventually help both the patient and the medical professional by providing higher amounts of quality information about daily-relevant effects of disease and treatment, eventually allowing for a better and more personalized care. Analysis software will be mainly built on artificial intelligence, and presentation of data will be intuitive. They will interoperate with the personal EHR and other potentially health-related electronic databases such as clinical warehouses and population health analytics platforms. ![]() As far as this can be foreseen, small, partly clothing-embedded and implanted sensor systems allowing passive (i.e., non-obtrusive) data collection will dominate the market. The nationwide implementations of the patient-controlled electronic health record (EHR) and the technology-based home monitoring system will most probably be the cornerstones of this revolution.We speculate that, within the course of the next decade, EHRs will lead to a substantial empowerment of patients, and monitoring of motor and non-motor manifestations of PD will shift from the clinic to the home. Care of patients with Parkinson's disease (PD) will dramatically change in the upcoming years. ![]()
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