Strengthening HIPAA Compliance With Modern Output Management

Output management systems have a surprisingly outsized influence in healthcare organizations. As they control the creation, distribution, and storage of an organization’s physical and digital documents, these systems can inadvertently cause points of friction that stymie medical professionals’ ability to provide a positive patient experience. They can result in communication hiccups that lead to delays or missteps in patient treatment. Perhaps most importantly, when not done correctly, output management can provide a vector through which bad actors can access sensitive organizational, employee, and patient information.

Fortunately, when handled properly and supported by the most current technologies, output management systems can provide the centralized automation, control, and security healthcare IT teams need to increase efficiency, reduce risk, and eliminate interruptions to keep critical workflows moving.

Understanding the role of output management systems and their impact on healthcare organizations starts with understanding these systems’ key functions.

What Are Output Management Systems?

SAP defines output management as:

the comprehensive standardized framework that manages the entire lifecycle of document outputs. It includes configuring output formats, printers, and connections, ensuring documents are properly generated, formatted, and ready for distribution. Output Management is responsible for defining the rules and channels through which documents are distributed, working as the backbone of document processing.

An output management system then is a centralized software solution built to support and execute this framework. 

In the healthcare industry, output management systems deal specifically with the distribution of clinical records, labels, prescriptions, and other documents, as they move from electronic medical records (EMRs)—for example, test results, prescriptions, or patient records—to printers or digital destinations. These systems enable such common scenarios as automatically generating barcode labels (e.g., patient wristbands and specimen labels) at the point of care or sending documents from the hospital to an affiliate clinic.

To accomplish this in a secure, efficient, streamlined manner, these systems focus on:

• Integration with EMRs

• Optimizing workflows

• Printing via virtual mobile desktop environments or mobile

• Maintaining security in printing 

• Maintaining audit trails

Why Does Efficient Document Handling Matter?

When done right, output management systems can cut costs from print servers and hardware, ensure that printing services are always available when needed, and keep protected health information (PHI) secure. But why is this important to healthcare organizations?

Greater Efficiency

Output management systems excel at automating workflows (e.g., file management, referrals, onboarding), so employees spend less time performing these low-value tasks manually and more time on work that will improve how the organization operates and its quality of patient care.

Decreased Risk

With documents automatically tracked as they move through established workflows, organizations with output management tools can be confident they are in compliance with key regulatory requirements. Should malpractice claims arise, they have easy access to records and audit trails to defend themselves.

Tighter Security

The encryption and access controls found in output management systems greatly enhance the ability of hospitals and other organizations to safeguard sensitive patient data and prevent costly data breaches.

Higher Quality of Patient Care 

With output management systems, patients receive a more consistent, frictionless experience, as all clinicians receive and act on the same accurate, updated information. More importantly, potentially dangerous treatment errors (e.g., an incorrect prescription) are averted. 

Increased Data Availability

When patient data is siloed in the systems of individual departments, patient care suffers. A patient can easily be misdiagnosed, delays occur in critical treatment or communications between providers, and resources can be wasted on duplicate tests. With output management systems in place, these issues are greatly reduced or eliminated altogether. 

When it comes to security in the healthcare industry, understanding the importance of PHI and HIPAA is critical. 

What Is Protected Health Information, or PHI?

As part of the Health Insurance Portability and Accountability Act of 1996 (HIPAA), the U.S. Department of Health and Human Services issued the Standards for Privacy of Individually Identifiable Health Information, otherwise known as the Privacy Rule. It aimed to keep individuals’ health information protected, while allowing that information to flow enough for providers to deliver high-quality care. 

Specifically, the Privacy Rule protects all “individually identifiable health information”—or protected health information. This includes information that relates to:

• the individual's past, present or future physical or mental health or condition,

• the provision of health care to the individual, or

• the past, present, or future payment for the provision of health care to the individual.

To be considered protected health information, it must also identify the individual or possibly be used to identify the individual. Common identifiers that are considered PHI include: name, address, birthdate, Social Security Number, phone numbers, dates, email addresses, medical record numbers, lab results, IP addresses, fingerprints, retina scans, and full-face photos.

The Privacy Rule also applies strict regulations around organizations’ use of PHI to protect its confidentiality. For example, they are not allowed to sell PHI unless it has been de-identified or meets specific exceptions.

Why HIPAA Compliance Matters

Today, organizations are required to meet HIPAA standards and regulations in protecting health information or securing electronic health records. HIPAA compliance is based on four key rules:

• The Privacy Rule

• The Security Rule, which requires covered entities and business associates to ensure the integrity, availability, and confidentiality of electronic protected health information (ePHI) and implement technical, physical, and administrative safeguards.

• The Breach Notification Rule, which requires covered entities and their business associates to notify Health and Human Services (HHS) and all affected individuals in the event of a breach of unsecured PHI, no later than 60 days after discovery, notifying the media if more than 500 residents are affected.

• The Omnibus Rule, which gives patients enhanced access to their records, restricts parties from selling PHI, includes genetic information as PHI under HIPAA, and expands the security and breach notification rules above to include not just direct providers, but also business associates and subcontractors. 

Failure to meet these requirements can result in heavy legal penalties and fines, which can range from $145 to $2.19 million per violation type per year. The biggest HIPAA fine in history came as a result of Anthem Inc.'s massive 2015 data breach, for which the company was forced to pay $16 million.

Beyond these negative legal and financial ramifications, however, are four common-sense reasons organizations should comply with HIPAA regulations.  

1. Protecting Data

As healthcare companies invest in HIPAA compliance, they naturally become better at securing patient PHI and keeping digital records confidential. This is a significant benefit in an industry that finds itself increasingly in the crosshairs of and vulnerable to the attacks of bad actors, as healthcare records, rich in the kind of personally identifiable information (PII) that can be sold to the highest bidder and then leveraged to disastrous effect, surpass the market value of stolen credit cards. 

2. Preventing Breaches

The strict technical, administrative, and physical safeguards mandated by HIPAA—including ePHI encryption, access controls, risk assessments, and employee training—greatly reduce the likelihood of a data breach.  

3. Maintaining Reputation and Patient Trust 

While a data breach can send a healthcare organization reeling for years, the damage such a breach can inflict on patients’ trust can be irreparable. Perhaps due to the highly private, sensitive nature of the data gathered in healthcare, the breach and misuse of such data can feel especially personal and violative to victims. On the other hand, companies that take HIPAA compliance seriously are more likely to avoid such a crisis of confidence and retain the trust of their patients. The same goes for a company’s reputation, where a breach can damage not just its public perception, but also its market value, partnerships, and future growth opportunities.  

4. Improving Operations 

As companies invest in HIPAA compliance, they run better. For example, HIPAA-standard billing and electronic data exchange result in fewer errors, greater efficiency between insurers and providers, and faster payment cycles. As organizations follow standardized procedures in handling ePHI, productivity rises and errors dwindle. More accurate information sharing between providers makes it easier to coordinate care, which leads to higher quality of care.

Cybersecurity threats have an outsized impact in healthcare, compared to other industries, as it usually takes longer to detect and contain threats and deals a heavier financial blow. 

According to IBM’s 2025 “Cost of a Data Breach” study, for the last 12 years, no industry has been hit harder financially by data breaches than healthcare, with the industry’s breaches costing an average of $7.42 million each in 2025. They also take longer to identify and contain (279 days on average), five weeks longer than in other industries. 

The number of patients that can be impacted by a breach is staggering. For instance, the 2025 data breach at Aflac affected nearly 14 million patients, but this was eclipsed by the 192.7 million affected by the Change Healthcare Inc. breach of 2024, the largest of all time. These astronomical figures only highlight just how much these companies stand to lose if their cybersecurity efforts lapse.

For this reason, healthcare organizations need to be more vigilant in guarding against threats than their peers in other industries. For example, according to Sophos’ 2024 “State of Ransomware in Healthcare” report, ransomware impacts two-thirds of healthcare institutions. 

Phishing, which involves bad actors using email to steal employee credentials, now affects 62% of organizations running in cloud environments and 63% of on-premise environments. HIPAA Journal reports that phishing has risen to become the most common access vector for healthcare data breaches. 

Now, thanks to a proposed rule introduced by the HHS in 2025 to improve data security in healthcare, companies are experiencing more scrutiny than ever, especially those still relying on legacy devices that are not equipped to meet modern cybersecurity standards. Companies found out of compliance with these updates could face as much as $1.5 million annually in fines.

Best Practices For Protecting Patient Data

Given these rising stakes, how can healthcare organizations ensure the PHI in their care remains safe and sound? Experts recommend that organizations focus on these six best practices:

1. Encrypt all patient data: This includes patient data both at rest and in transit. For example, a clinic could encrypt their laptops or tablets, SQL databases, and specific files to render their data unusable at rest, if stolen. To render it unusable in transit, they could implement TLS/SSL, VPNs (Virtual Private Networks), or email encryption. 

2. A culture of security: Since so many potential cybersecurity threats come down to human error, all healthcare companies should invest in robust workforce training. Essential topics to cover include the Privacy, Security, and Breach Notification Rules, PHI, secure data handling, phishing awareness, password hygiene, incident reporting standards, and minimum necessary standards. For each of these topics, it is equally important that each employee receive instruction tailored to their specific job role.

3. Physical security: Physical security measures are key to preventing unauthorized access to devices and the data they contain. This means keeping facilities locked down, but it also includes constantly surveilling physical locations and infrastructure for potential threats, securing printers, and requiring employees to present proper identifying credentials before a print job is released.

4. Routine risk assessments: This starts with inventorying all systems, software, data repositories, and third-party dependencies and moves into identifying potential threats and vulnerabilities, evaluating the likelihood and impact of these threats, developing strategies to mitigate these threats, and then documenting and reporting these findings.

5. Incidence response planning: Organizations create a formal document, procedures, and strategies to deploy in the event of a data breach. As part of this process, the organization defines the roles and responsibilities of Cybersecurity Incident Response Team (CSIRT) members and develops an incident classification/risk matrix, protocols for monitoring, identifying, and reporting suspicious activity, procedures for dealing with, containing, and eradicating specific threats, restoring normal operations, communicating updates to leadership and other groups, and reviewing the incident to improve future security measures.

6. Privacy and compliance: In addition to the HIPAA-related training mentioned above, employees should also be trained on the practice of verifying a patient’s identity before they share sensitive information, as well as using only private areas for communication purposes during visits. Also critical is the practice of ensuring that agreements with downstream users include clearly worded documentation on how PHI is to be shared.

The Role of Technology in Cybersecurity

Very few of the best practices above could keep up with increasingly sophisticated cyber threats without a solid technological foundation. Increasingly, this technology is pivoting away from passive, perimeter-focused defensive measures to adaptive, proactive, AI-driven security that can cover all organizational assets.

Today’s healthcare companies are deploying artificial intelligence (AI), machine learning (ML), and encryption to detect threats in real time and secure IoT devices, endpoints, and cloud networks against attacks. At this point, this technology is no longer tentative, but proven. IBM’s 2025 report discovered that organizations leveraging AI and automation tools for cybersecurity achieved incident detection and containment 98 days faster than average. Incident response costs dropped by nearly $1 million. No wonder these systems were expected to be integrated by 90% of healthcare organizations by the end of 2025, according to a recent survey from the Cyber Risk Alliance.

Other powerful cybersecurity technologies in the quivers of healthcare organizations include:

• Next-generation Antivirus (NGAV), which uses AI, threat intelligence, and behavioral analysis to prevent malware, ransomware, and fileless attacks.

• Endpoint Detection and Response (EDR), which continuously monitors servers, phones, laptops and other end-user devices, using behavioral analysis to detect anomalies, and then investigates, isolates, and mitigates these advanced threats. 

• Extended Detection and Response (XDR), which unifies cybersecurity technology by breaking down silos and integrating, correlating, and analyzing data across email, networks, servers, endpoints, and cloud workloads, so it can detect and respond to threats automatically.

• Secure Access Service Edge (SASE), which converges comprehensive security functions with software-defined wide area networking (SD-WAN) into a single, unified service, where it can enforce consistent security policies at the network edge to secure remote workers and hybrid cloud environments. 

• Multi-Factor Authentication (MFA), which strengthens security beyond traditional passwords by requiring users to provide two or more distinct verification factors (e.g., password, biometric scan, or token) to access an account or application. 

Promoting greater compliance and efficiency in output management includes digitizing and centralizing document output, ensuring HIPAA compliance and data security, maximizing operational efficiency, document management and retention, and staff training and culture. The work required is typically well worth the effort, resulting in reduced costs, lower risk, reduced administrative burden, and improved patient care.

4 Strategies for Safeguarding PHI in Output Management

Naturally, compliance and efficiency in healthcare output management starts with safeguarding PHI against any possible bad actors or misuse. This effort usually includes four key strategies:

1. Secure Printing and Document Output 

From print jobs left unattended in the tray to print jobs intercepted on the network to print jobs forgotten in a printer’s internal hard drive, the journey from a computer or mobile device to the printer and beyond is fraught with peril. So efforts to secure this process must account for all possible threats. 

For example, as print jobs are sent to the printer, they should be encrypted while in transit. Printers should be located in secure areas accessible only by authorized personnel. At the printer, secure print release should be mandatory, requiring the staff member to authenticate themselves before the document can be printed.  

Saber Healthcare Group,, which provides consulting services to 125 long-term nursing facilities in the Eastern U.S. found success in implementing Secure Release Printing from PrinterLogic on the company’s network printers. This allowed users to authenticate seamlessly at the printers by entering a PIN code directly on the printer’s touchscreen to successfully keep PHI in print jobs secure.

2. Secure Shipping and Mailing

It’s no secret that physical mail and other shipped packages have long been a target for PHI-seeking fraudsters. That has not changed in the digital age. Naturally, safeguarding PHI becomes much more analog in this context.

For example, healthcare companies should ensure that the packaging used in mailed and shipped packages is opaque and adequately sealed to prevent PHI from being read from the outside. Tamper-evident packaging, with seals or tape that clearly reveal if a product has been opened or compromised, can alert an organization if highly sensitive documents have been compromised. In addition, trackable mailing services provide a well-established means to track chain of custody as a letter or package makes its way to its intended recipient.

Finally, because companies often partner with third-party print and mail vendors, they should ensure that these vendors sign a Business Associate Agreement that holds them legally responsible for protecting PHI.

3. Electronic Output and Data Handling

In many ways, this is the beating heart of output management, automatically transforming raw application data found in digital documents into communications that are secure, personalized, and actionable, and routing information to the appropriate digital and print channels faster, more accurately, and in compliance with regulation.

This includes using only secure, cloud-based fax services, using secure file transfer protocols, and ensuring that the organization collects, uses, and retains only the minimum personal data absolutely required to fulfill a specific, stated purpose.

4. Administrative and Operational Controls

This refers to the procedural and structural frameworks an organization will employ to keep document delivery secure, accurate, and efficient. These controls focus not on physical hardware, but on managing, defining, and monitoring document workflows. 

This strategy includes making certain that printed PHI is disposed of securely. For instance, documents should be shredded and their remains locked in shredding bins in designated areas. It also includes training employees on clean desk policies (i.e. not leaving PHI on desks or printers) and proper reporting of print-related security incidents.

Perhaps more importantly, administrative and operational controls require comprehensive audit trails that track who printed what, when, and on what device—a task that is best accomplished via software. This information is critical in optimizing printer usage, supplies, and maintenance.

One example of this is the print-auditing capabilities of PrinterLogic, which allow IT administrators to see all print job statistics in an intuitive, exportable format. This makes a powerful tool for healthcare organizations to maintain a comprehensive view of all print jobs coming through their systems and ensure they are all properly safeguarded.

How to Implement Effective Output Management

When implemented effectively, output management secures document delivery, integrates output management software with EMR systems, manages both digital and physical output, and enables the organization to remain in compliance with regulations like HIPAA. 

Historically, traditional output management, with its overreliance on manual processes and on-premise hardware, has struggled to fully meet these objectives. However, by replacing traditional approaches with new ones powered by emerging technologies, healthcare companies can fully realize the intended benefits of output management and then some. Here’s how:

1. Assess Current Workflows

Identifying bottlenecks and security risks within an organization’s print and document management workflows is essential in identifying opportunities to improve. This typically involves a systematic analysis of the organization’s whole document lifecycle, from the creation and formatting of physical and digital documents to routing and delivery. It includes understanding how information travels from ERP and EMR systems to the end recipient.

In this exercise, more comprehensive and trustworthy data yields more effective decisions and improvements. On the other hand, gaps or inconsistencies in the data will slow or stymie efforts to improve workflows.

2. Centralize Control

Output management thrives when all systems are adequately integrated, provide comprehensive, consistent data, and centralize control. Traditionally, however, output management has been plagued by outdated infrastructure and disparate, on-premise systems  and hardware that fail to fully integrate with each other. When this happens, complexity increases as control over the workflow is fragmented. In turn, maintenance costs rise and local IT infrastructure experiences heavier loads. 

The solution to this problem is to replace outdated infrastructure and on-premise hardware with centralized, cloud-native SaaS solutions. These are built to seamlessly integrate with EMR, ERP, and EHR systems, while simultaneously managing all output devices and channels. The result is one centralized, unified platform from which to analyze and optimize workflows.

3. Automate Manual Processes 

In output management, manual processes tend to breed inefficiencies in a workflow. At any given step in the workflow, the time required for a person to recognize the need to act and then perform the required action is time lost in getting the required document or data to the intended recipient. On the other hand, automating workflow processes can make delivery nearly instantaneous. 

Workflow automation works through automated, pre-defined criteria for routing, such as protecting sensitive data or balancing high-volume jobs across printers. It can be used for converting file types or enabling driverless printing.

While some automation can be achieved amongst disparate systems, fragmented systems like those mentioned above are not conducive to widespread automation and optimization. Therefore, in order to build fully automated workflows, truly centralized controls and unified systems are essential.

4. Ensure Reliability

In healthcare, printer failure and downtime can have a significant impact on operations and patient care. In traditional output management, IT teams wait for systems to provide real-time status updates on print jobs and then manually re-route or fix issues—an approach that still results in an interruption of services and a lapse in reliability. Here, automation presents a better way.

Automation can improve output reliability by skipping human actors to redirect print jobs automatically to other available printers, in the case of printer failure. When a high-volume print job comes through, automation can distribute jobs across multiple printers, so they can still be fulfilled in a timely manner.

5. Ensure Security 

Secure print release, role-based access control, data encryption at rest and in transit, audit trails and logging, and centralized management are components of security in traditional output. However, if not properly managed, these traditional on-premises setups can be difficult to patch and scale, making them vulnerable compared to cloud-native alternatives. 

To get truly secure output management, healthcare organizations need to take security a step further. They should employ a Zero Trust model to ensure that every user and device is authenticated and authorized before gaining access. Identity Providers (IdPs) should be used for multi-factor authentication to make print automation more secure and prevent unauthorized access. 

In addition, they should use TLS encryption for data in transit and AES 256 encryption at rest to establish end-to-end data protection. Their output management system should be ISO 27001:2022 and SOC 2 Type 2 compliant to enable comprehensive auditing and tracking, while maintaining compliance with regulatory requirements. Finally, permission and access profiles should be granular and customizable to keep users or groups from accessing specific resources.

Navigating Compliance Challenges

Implementing these five approaches allows organizations to establish future-facing output management that removes complexity, reduces maintenance costs, and enables document workflow automation without getting bogged down by extensive hardware and manual oversight. 

The more healthcare organizations automate the secure, accurate, and traceable distribution of patient information across disparate systems, the more manual, error-prone processes are replaced by digital, real-time workflows that keep organizations in compliance with HIPAA and other regulations. 

What does the future portend for security in the healthcare sector, which has historically been outgunned by cyber-thieves? While bad actors show no sign of easing their attacks, emerging technologies could finally give healthcare organizations the upper hand against cyber threats.

Emerging Technologies in Output Management

As traditional, manual handling of documents gives way to automated, AI-driven, interoperable systems, healthcare providers are seeing a reduction in administrative burdens and a lift in the security and accuracy of clinical communications. These technologies include:

• Cloud-native output automation: Moving from legacy print servers to cloud-native architecture brings a level of scalability, intelligence, and automation that traditional output management setups just cannot match. EMR integrations with printers, patient portals, and insurance software become seamless. Zero Trust frameworks with end-to-end encryption can protect PHI from the start to finish. Comprehensive, traceable document history logs become possible, keeping the organization HIPAA compliant. 

• Natural language processing (NLP): By mapping unstructured clinical text to structured fields in EHRs, organizations are able to streamline administrative workflows, automate repetitive workflows, and increase the speed at which information is delivered to providers and patients alike. 

• Omnichannel digital transformation: By centralizing patient data and routing them automatically to the appropriate endpoints in an integrated communication ecosystem, organizations ensure that patient-related communications stay consistent and up to date throughout their experience. 

Most importantly, these technologies are allowing providers to be more proactive and coordinated as they care for patients, resulting in a higher quality of patient care. 

Such improvements also relieve administrative burdens for IT staff. For example, when Kingston Healthcare switched from manually installing printers on individual devices to the secure, cloud-native Self-Service Portal from PrinterLogic, their IT team eliminated more than 500 hours per year previously spent responding to print-related helpdesk tickets. 

The Evolving Landscape of Cybersecurity

Even as the healthcare sector shifts from traditional security to modern, cloud-native defense, new cybersecurity battlegrounds appear as data moves to AI, edge computing, third-party vendors, telemedicine tools, and Internet of Medical Things devices. 

Existing cybersecurity threats continue to evolve as AI is leveraged in ransomware to target critical infrastructure and sensitive patient data, create highly targeted phishing campaigns, and automate vulnerability scanning, making attacks faster and harder to detect and overwhelming providers’ existing cybersecurity measures. 

Even as attack surfaces expand and threats adapt, key strategies still prove effective, including Zero Trust architecture, AI-enabled monitoring and anomaly detection, stricter audits and security requirements for partners, and data encryption at rest and in transit.

Integrating Compliance and Efficiency in Healthcare

The future of output management is a dual focus on enabling and supporting regulatory compliance and building more efficient workflows. As manual, disconnected output management approaches are replaced by fully integrated, automated workflows, providers are able to protect PHI and PII without creating cumbersome administrative bottlenecks. Instead, bottlenecks are systematically removed so staff are unburdened from paperwork, can work in tandem with other providers, and have the data and time to provide better patient care. 

At the same time, integrations and automated workflows provide continuous monitoring and audit trails of every interaction with every document and PHI, further buttressing the organization against HIPAA regulatory risks. Even as they make PHI accessible to the right parties, they simultaneously shield it from bad actors at every step.

If your healthcare organization is ready for a future-ready output management solution that seamlessly integrates both compliance and efficiency by automating critical document and print workflows, bridging back-end systems and end-user printing, and connecting seamlessly with existing EMR, EHR, and ERP systems, schedule a demo to learn more about PrinterLogic Output.

What is protected health information (PHI) according to HIPAA?

According to the Health Insurance Portability and Accountability Act (HIPAA), protected health information (PHI) is any health information that can identify an individual that is in possession of or transmitted by a "covered entity" or its business associates that relates to a patient's past, present, or future health. This data includes demographic information. It also includes but is not limited to, electronic and paper transmission. The term "covered entity" refers to, but is not limited to, healthcare providers, insurance companies, and hospitals. PHI includes demographic identifiers in medical records, such as names, phone numbers, and emails, as well as biometric information, such as fingerprints, voiceprints, genetic information, and facial images.

What are the key requirements for HIPAA compliance?

Key requirements for HIPAA compliance include annual self-audits of any gaps in compliance, documented remediations plans to reverse compliance violations, development of and training on Policies and Procedures, documentation of all efforts to become HIPAA-compliant, documentation of all business associates who interact with PHI, and incident management document.

What are the seven elements of an effective compliance program?

According to the HHS Office of Inspector General (OIG) the seven elements of an effective compliance program include:

• Implementing written policies, procedures, and standards of conduct.

• Designating a compliance officer and compliance committee.

• Conducting effective training and education.

• Developing effective lines of communication.

• Conducting internal monitoring and auditing.

• Enforcing standards through well-publicized disciplinary guidelines.

• Responding promptly to detected offenses and undertaking corrective action.

How can healthcare organizations ensure they meet HIPAA standards?

According to the Health Insurance Portability and Accountability Act (HIPAA), healthcare organizations ensure HIPAA compliance by:

• Conducting regular risk assessments.

• Implementing strict technical and physical safeguards (i.e., encryption, access controls).

• Training staff annually.

• Signing Business Associate Agreements (BAAs) with vendors.

What role does output management play in enhancing patient care?

Output management enhances patient care as it creates a bridge between EHR systems and physical or digital documents, ensuring that the patient data they contain is reliable and accessible to caregivers. When done properly it reduces errors, improves patient safety, streamlines clinical workflows, improves patient communication, optimizes allocation of resources, and safeguards patient PHI and PII.

What are the most common types of cyber threats in healthcare and how can they be mitigated?

Ransomware, phishing, and insider threats continue to top the list of the most common cyber threats in healthcare. Fortunately, output management—especially as systems become fully integrated and on-premise hardware is replaced by cloud native solutions—can play a major role in shutting out these threats. Output management capabilities that are most critical in repelling threats include data encryption at rest and in transit, automated routing, secure printing, document access controls, and real-time auditing and reporting.