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Information Governance (IG) and Cybersecurity Concerns
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Discussion 1
Data Governance is essential in healthcare organizations and enables healthcare
institutions to manage and protect patient information. Data management is a whole or a
subsection of an organization's digital and hard copy resources or data in information
systems. According to Petters (2020), data in the healthcare sector refers to patient records,
including MRI results, billing records, drug and therapy prescriptions, and other confidential
patient medical information. Healthcare data governance and protection is a mandate as it
gives reference to patient's condition that help them make informed decisions. Data
governance in healthcare institutions creates a systematic and structured model for the
protection of patient's data from third parties and malicious outsiders. Cyber security
concerns have increased and created the need for intervention by the Health Insurance
Portability and Accountability Act (HIPAA) that protects and secures patient information.
The act further fosters the privacy of medical information through cordial language and
Protection of Health Information (PHI) that insurance agencies and hospitals need to adhere
to legally.
To ensure the facilitation of data privacy and Information Governance (IG), HIPAA is
controlled by the Office of Civil Rights through levies and fines on instances of more PHI
data breach records. The article elaborates the need for medical institutions to focus on
information governance through policies and procedures. Information Governance (IG)
supports several healthcare initiatives and benefits medical institutions through accountability
of patient data and effective patient care to ensure patients get the correct information
promptly (Petters, 2020). The article elaborates on the various healthcare data vulnerabilities
and possible solutions to mitigate healthcare data loss, like hiring and training personnel with
the compelling data breach models. The article also elaborates on the difference between data
governance and information governance. The initial one focuses on patient data like personal
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identification, and the latter is about information pertaining to patient diagnosis models and
medication programs.
The article elaborates the necessary steps healthcare institutions need to implement
for solid data governance in healthcare, including discovering that PHI lies, curbing threats,
and reassess privileges. For the Information Governance Adoption Model (IGAM),
healthcare institutions need to set cordial standards to diminish data breaches and privacy
matters. There is an intent need for a medical institution to focus on data protection to avoid
unnecessary legal actions against healthcare institutions. Information systems in healthcare
institutions need to focus on a governance framework to provide holistic overviews on the
influence and management of enterprise-wide information and patient data.
References
Petters, J, (2020). Data Governance in Healthcare: Your Complete Guide. Retrieved from
https://www.varonis.com/blog/data-governance-in-healthcare/
Discussion 2
Information Governance (IG) is the organizational-wide framework that aims at
managing and monitoring information throughout the lifecycle to support the set regulatory
measures, legal concerns and aim at supporting strategy operations. Information Governance
(IG) also ensures healthcare organizations focus on environmental requirements and protect
patient information (Snell, 2017). Healthcare compliance is the passive medical care process
that ensures most institutions follow the rules, regulations, and laws related to ethical
healthcare practices. According to Butler (2018), healthcare compliance is an active and an
ongoing process of meeting and adhering to legal and ethical professional standards that are
applicable to particular healthcare organizations and the medical provider. Some institutions
focus on compliance with healthcare standards, including the Department of Health and
Human Services (HHS). Healthcare compliance is the process of following rules and
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practices that ensure all external and internal rules are in favor of patient safety, the patient
privacy information models. It ensures booking and payment processes are confidential
between the insurance agencies and the healthcare institution (Butler, 2018). Healthcare
compliance is about ensuring patient safety, high-quality patient care through the elimination
of third parties. Therefore, Information Governance enables healthcare institutions and
healthcare providers to comply with the industry standards and set codes of regulations to
improve the quality of healthcare and secure patient data.
The application of advanced Information Governance practices across all healthcare
information systems is critical and enables all healthcare institutions and medical sectors to
comply with Health Insurance Portability and Accountability Act (HIPAA) standards.
According to Snell (2017), Information Governance models enable help healthcare
organizations to foster integrity in patient data management, constituency in adhering to
principles, and quality healthcare data storage. The above indicates the necessity of
Information Governance models to protect sensitive data against malicious third parties who
might expose the data. The measures mitigate risk as negative public image, legal pursuits,
and financial impacts resulting from exposure to sensitive information and passwords.
Healthcare institutions need to focus on firewalls and implementation of a well-thought-out
Information Governance model to maintain confidentiality and security of patient information
and confidential data pertaining to patients.
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References
Butler, M. (2018). IG Pulse Check: New AHIMA Study Measures IG Adoption Rates.
Journal of AHIMA. Retrieved from
https://bok.ahima.org/doc?oid=302407#.YULgrZ1KhPa
Snell, E. (2017) Expanding Beyond HIPAA Audit Prep for Information Governance. The
recent AHIMA toolkit focusing on HIPAA audit preparation is a key tool for
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