Uploaded by Joacquin Elly Betacora

BETACORA NCM108 M5PT(1)

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JOACQUIN ELLY T. BETACORA
BSN2A
NCM 108 BIOETHICS
PRE TASK #05
What are the ethical implications and potential risks associated with the
collection, storage, and sharing of personal health data in the context of modern
healthcare systems, and how can we ensure the protection of individuals' privacy
while still harnessing the benefits of data-driven healthcare advancements?
The collection, storage, and sharing of personal health data in modern healthcare
systems present several ethical implications and potential risks:
1. Privacy: There is a risk of violating individuals' privacy rights if their health data is
collected, stored, or shared without their consent or if proper security measures are not
in place. Unauthorized access to sensitive health information could lead to
discrimination, breaches of confidentiality, or identity theft.
2. Consent: Obtaining informed consent for the collection and use of health data is
essential but can be challenging due to the complexity of healthcare systems and the
potential for data to be used for purposes beyond the original intention. There is a risk of
individuals not fully understanding the implications of consenting to the sharing of their
health information.
3. Data security: Health data is valuable and attractive to cybercriminals, posing risks of
data breaches, hacking, or other security incidents. A breach of health data can have
serious consequences, including financial losses, reputational damage, and harm to
individuals' well-being if their sensitive information is exposed.
4. Data accuracy and integrity: There is a risk of inaccuracies or errors in health data,
which can impact patient care and treatment decisions. Improper collection, storage, or
sharing of data could result in misinformation or misinterpretation, leading to suboptimal
healthcare outcomes.
To ensure the protection of individuals' privacy while harnessing the benefits of
data-driven healthcare advancements, several measures can be implemented:
1. Data anonymization and encryption: Health data should be de-identified or encrypted
to protect individuals' identities and sensitive information. Only authorized personnel
should have access to identifiable health data, and strict security protocols should be in
place to prevent unauthorized access.
2. Transparent policies and regulations: Healthcare organizations and policymakers
should establish clear guidelines and regulations governing the collection, storage, and
sharing of health data. These policies should prioritize individuals' privacy rights and
outline procedures for obtaining informed consent and ensuring data security.
3. Consent management: Patients should have control over their health data and be
able to consent to its collection, use, and sharing for specific purposes. Healthcare
providers should communicate transparently with patients about how their data will be
used and provide options for opting out or withdrawing consent if desired.
4. Data governance and accountability: Healthcare organizations should implement
robust data governance frameworks to ensure compliance with regulations, monitor
data usage, and hold individuals and entities accountable for adhering to privacy
policies and security standards.
By prioritizing privacy protections, transparency, and accountability, healthcare systems
can harness the benefits of data-driven advancements while respecting individuals'
rights and promoting trust in the healthcare system.
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