At the same time, healthcare organizations face considerable obstacles as they strive to govern the massive amounts of data under their control. In the first place, the World Economic Forum estimates that the average hospital generates over 50 petabytes of data every year, most of it unstructured.

Secondly, because of its sensitive nature, healthcare data is heavily regulated. Laws such as HIPAA impose strict requirements on how organizations store, use, and share data. And with protected health information (PHI) living in many different formats, departments, and platforms, compliance proves complicated. Frequent security threats add further complexity.

To address these challenges, healthcare organizations must adopt a proactive and strategic approach to data governance. This process will involve numerous moving parts and does not happen overnight. However, the following tips will help set things off on the right track.

Start with Initial Data Assessment and Cleanup

You cannot govern data unless you know what data you have and where it lives. Therefore, start with a thorough inventory to discover what PHI the organization collects and stores, where it lives, who owns it, and how it is used. Also determine who has access to the data. This information will aid in building a risk profile and determining next steps.

Once you have a view of the organization’s data, classify the data based on sensitivity and prioritize it for protection. This initial data assessment period also presents a good time to perform some data cleanup. This will include resolving duplicate records and archiving or removing data no longer needed. Always refer to regulatory requirements.

Review and Update Access Privileges

Because the patient record plays a pivotal role in care delivery, healthcare organizations need to carefully control access to this information. Access management involves defining who has access to what data and under what circumstances. Work toward a state of least privileged access, in which users have just the authorization they need to do their job and no more.

Controlling access to PHI may also include updating authentication processes to definitively verify the identity of anyone attempting to access sensitive information. Multi-factor authentication (MFI) and other modern authentication methods will prove essential.

Leverage Technology Wisely

Technology can streamline the process of healthcare data governance and reduce errors. For example, biometric scanners reduce the chance of misidentification, and software using AI-powered referential matching can prove effective in reducing duplicate records. Likewise, digital compliance solutions provide critical compliance monitoring and simplify data classification.

When choosing and implementing technology, look for solutions made to scale easily as data sets continue to grow. Also prioritize tools that integrate with existing clinical systems. And utilize robust security systems that use encryption and other protective measures to secure data during transmission and storage.

Build a Culture of Data Governance

No amount of technology, however, will take the place of building a corporate culture of data governance. Engage with stakeholders such as providers and patients as you develop a data governance framework. An essential part of that framework will include defining data governance roles and responsibilities.

Then promote data literacy by providing training for all employees on data governance policies and best practices. For instance, standardized procedures around collecting and updating patient data will assist in preventing errors and duplicates. Formal training and just-in-time reminders will help.

Take Data Governance to the Next Level

Effective data governance takes time and requires careful planning. The eMazzanti team of data experts brings decades of experience in effective data governance and data security consulting and solutions. We can help you design and implement a comprehensives strategy designed to protect data assets and drive both efficiency and innovation.

The post Data Governance in the Healthcare Sector Critical to Improve Health Outcomes and Compliance appeared first on eGovernance.

In the United States, the lack of any single, overarching cloud compliance law complicates the matter. Businesses must stay on top of a patchwork of federal and state laws, applicable international laws, and industry-specific regulations. This guide will help streamline the process.

Understanding the Shared Responsibility Model

Business leaders must remember that cloud compliance involves a shared responsibility between the cloud service provider and the customer. Under this shared responsibility model, cloud providers take responsibility for securing the underlying infrastructure, while the customer secures the data and workloads that live in the cloud.

For example, Microsoft secures its data centers and implements robust security around the hardware and networking equipment that supports Microsoft 365 services. It employs some encryption, provides continuous monitoring of the platform, and releases security patches for its applications.

Microsoft customers, on the other hand, must configure the Microsoft 365 security options properly and apply patches promptly. Additionally, they need to take steps to track and protect sensitive data. They must also secure user accounts and control data access. And they need to identify and protect endpoints that include every device that connects to the network.

Major Regulations to Consider

Organizations may need to comply with any number of privacy regulations, depending on their location and industry. But several key regulations apply widely and/or set the tone for other regulations. Understanding these landmark regulations will help organizations build an overall compliance strategy.

The General Data Protection Regulation (GDPR), while a European law, still applies to many US businesses, and it serves as a model for many emerging regulations here in the States.

Key requirements of GDPR include the requirement to gain clear consent before processing personal data. Individuals also have the right to access their personal data or request a transfer of that data. And businesses must notify individuals promptly if a breach occurs.

The Health Insurance Portability and Accountability Act (HIPAA) sets the standard for protection of protected health information (PHI). It requires entities to implement stringent safeguards to protect PHI, including limiting PHI access to authorized personnel. It also requires organizations to encrypt PHI data, conduct regular risk assessments, and train employees.

The Sarbanes-Oxley Act (SOX) mandates strict controls relating to financial data and applies to all public companies in the US. It includes stringent requirements around retention and destruction of financial records. It also requires companies to strengthen IT controls around financial systems and data. And it mandates audit trails and regular risk monitoring.

Several states model their privacy laws on the California Consumer Privacy Act (CCPA). It grants consumers the right to access and correct their data that businesses collect. It also guarantees individuals the right to opt out of the sale or sharing of their personal data, as well as to request deletion of their data. And businesses must take reasonable security measures.

Key Steps to Building a Compliant Cloud Environment

While each regulation has specific requirements, common themes run across regulations. Prioritizing those common elements will help businesses stay ahead of the compliance game.

• Data governance – Develop a comprehensive data governance framework that includes classifying and monitoring sensitive data, tightening access controls around that data, and implementing clear policies around data retention and data sharing.
• Vendor management – Review vendor contracts to ensure necessary language regarding data privacy and security. Additionally, carefully control vendor access and perform regular supply chain audits and monitoring.

• Incident response – Create, implement, and regularly update a plan for responding to data breaches, including mandated notifications.
• Continuous monitoring – Regularly monitor compliance status and make necessary adjustments. Automated compliance monitoring streamlines this process.
• Ensure consumer control over personal data – Display privacy policies clearly on public-facing apps and websites. Include easy-to-use forms for consumers to specify their preferences regarding sharing of personal information, targeted advertising, and cookies.
• Ensure reasonable security measures – In addition to measures already mentioned, implement encryption, strong authentication methods, role-based access controls, and comprehensive network security. Deliver regular employee training around security and compliance.

Additional Tips Round Out the Ultimate Guide to Cloud Compliance

Compliance concerns require substantial time, resources, and energy. However, by wisely leveraging compliance technology such as the compliance solutions from eGovernance.com, businesses can reduce much of the pain involved in regulatory compliance.

eGovernance Compliance allows you to tackle all data compliance monitoring mandates simultaneously, including HIPAA, GDPR, CCPA, SOX, PCI-DSS, and more. It gives wide visibility by connecting to all data storage locations through a single console. It also simplifies data classification, aids access control, and provides automated alerts to possible problems.

Take a proactive approach to regulatory compliance by contacting the compliance experts at eMazzanti Technologies.

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Compliance involves addressing both cyber security and data privacy. Data retention and destruction policies also play a key role. Consequently, compliance best practices involve improving data visibility through information governance and monitoring. They also include updating data policies and security practices and addressing the human component.

Use AI to Strengthen Information Governance

Because achieving compliance requires that organizations know what data they have, where it lives and who has access to it, information governance plays an important part. For instance, several privacy regulations include the “right to be forgotten.” This means that a company must be able to find and delete an individual’s personal data upon request.

Additionally, rules such as HIPAA and PCI DSS mandate the careful control of sensitive data such as protected health information (PHI) and financial data. These regulations require that organizations locate and tag all sensitive data wherever it lives or travels. With vast amounts of data on multiple platforms, finding and tagging that data represents a monumental task.

Fortunately, AI and machine learning can help. The average company manages hundreds of terabytes of data, with new data created every minute. Humans cannot feasibly find and classify all sensitive data manually. However, using pattern matching and machine learning, automated AI tools can find and classify sensitive data quickly and accurately.

Gain Visibility Through Compliance Monitoring

To identify compliance gaps, organizations should conduct regular compliance and security audits. In addition, continuous compliance monitoring allows data administrators to proactively address any potential compliance issues. Here again, automation plays a critical role.

Much of a company’s most sensitive information hides in unstructured data such as emails, PDF files and instant messages. This data can prove difficult to manage. But automated tools, powered by AI, monitor both structured and unstructured data for compliance violations.

These monitoring systems deliver automated alerts to appropriate personnel while taking precautionary action. For example, if a user attempts to improperly share PHI, the system will block the action and alert compliance officers. In addition to keeping sensitive data safe, monitoring allows the organization to demonstrate compliance in the event of an audit.

Regularly Review Data Policies

Data policies play an essential role in compliance. For instance, policies mandate who can access data and how long data should be retained. They also govern how users can share data and with whom. And they may cover certain security actions, such as the encryption of sensitive data.

An effective electronic communications policy includes not just the written policy, but also the technology to enforce that policy. For example, tools such as Microsoft 365 allow organizations to automatically prohibit sharing or destruction of sensitive data. Data policies require regular review and updates as the regulatory landscape changes and as the company adopts new tools.

Implement Essential Cyber Security Practices

Because compliance requires keeping data safe and secure from unauthorized access, data compliance best practices necessarily include security measures. At a minimum, organizations should use firewalls, keep software up to date, change default passwords and implement both multi-factor authentication and encryption.

In addition, security teams should regularly review access rights and permissions. Apply the principle of least privilege to ensure that users have the minimum amount of access they need. And make sure to remove user accounts and access when no longer needed. Tools such as Microsoft Entra help to automate access and identity management.

Provide Compliance and Security Awareness Training

Regardless of the technology involved, no compliance or security effort will prove successful if it ignores the human component. Take time to engage employees at all levels through regular privacy and security awareness training. Complement the training with phishing simulations and internal events such as privacy awareness month.

Compliance Technology Powers Data Compliance Best Practices

With a rapidly evolving regulatory environment, compliance experts suggest taking a big picture approach to achieving compliance. That is, look for privacy solutions that apply to most privacy laws, rather than applying different rules to different locations in compliance with individual states.

Technology will prove essential to a successful compliance strategy. For instance, intelligent compliance solutions from eGovernance provide insight into all indexed data through a single portal. Automatic reports alert auditors whenever an issue arises, allowing for immediate remediation. Proactive intervention saves time and money while delivering peace of mind.

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