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Haystack iS v2 uses machine learning and AI-driven privacy analytics to understand how PHI is typically accessed across your organization, helping reduce false positives and identify truly suspicious activity. As workflows evolve, privacy teams can continuously refine risk scoring to keep patient privacy monitoring accurate and relevant.
Patient privacy investigations in Haystack iS v2 are faster and more intuitive. Our prioritized event list helps auditors quickly identify suspicious PHI access that needs immediate attention. They can then review related access history, prior investigations, and user or patient activity, reaching more confident conclusions with fewer clicks and less manual work.
Haystack iS v2 features robust reporting and customizable documentation. Risk assessments, audit language, and reporting fields can be aligned to organizational policy and HIPAA requirements. Investigations are automatically documented, and reporting is streamlined into flexible, filter driven views that improve OCR audit readiness while reducing report sprawl.
AVA, your Advanced Virtual Assistant in Haystack iS, helps privacy teams automate follow up during investigations. When potentially inappropriate access is detected, AVA can initiate questionnaires, collect responses, and return context directly to the privacy team, allowing auditors to focus on decision making instead of manual outreach.
With more than 35 years of healthcare integration experience, iatricSystems has completed integrations for over 200 customers, supporting 180+ vendors across thousands of data feeds. No matter the EHR, system, or team configuration, Haystack iS v2 is built to support your patient privacy monitoring at scale.
Using AI and more than 20 years of patient privacy monitoring experience, Haystack iS detects anomalous behavior earlier than ever before.
When a suspicious access occurs, AVA automatically follows up with the user and reports back with actionable information.
As machine Learning and Artificial Intelligence learn your health system patterns, false positives are minimized.
No matter what EHR, system, or team configuration, Haystack iS has you covered.
Anomalous activity with advanced Artificial Intelligence.
Incidents seamlessly by routing to managers for review.
Breaches easily with OCR-compliant documentation.
With AVA - to question and report on possible suspicious activity.
With the OCR and other regulatory bodies.
False positives to improve staff efficiency.
The Story Behind Haystack™ iS v2
Patient privacy monitoring is the process of reviewing access to protected health information (PHI) to identify activity that may be inappropriate or violate organizational policy. Patient privacy monitoring software analyzes EHR audit logs and data from other healthcare systems to help privacy teams detect suspicious access, investigate events, document findings, and support HIPAA compliance.
Healthcare organizations generate thousands or millions of PHI access events that cannot realistically be reviewed manually. Patient privacy monitoring helps privacy teams focus on higher-risk activity, detect potential incidents sooner, conduct more consistent investigations, and maintain documentation showing that suspicious access was reviewed.
Cybersecurity focuses primarily on protecting systems and data from threats such as ransomware, phishing, malware, and unauthorized entry. Patient privacy monitoring focuses on how PHI is accessed after someone has logged in, including whether an authorized user had an appropriate reason to view a patient’s information. The two disciplines work together to protect healthcare data.
Patient privacy monitoring supports HIPAA compliance by helping healthcare organizations review access to PHI, identify potentially inappropriate activity, investigate suspected incidents, and document their response. It can also provide reporting and investigation records that help demonstrate how the organization monitors and responds to privacy risk.
EHR audit logs provide important records of who accessed patient information, but reviewing those records at scale can require significant manual effort. Dedicated patient privacy monitoring software analyzes access patterns, prioritizes higher-risk activity, supports investigations, and can combine data from the EHR and other systems into a more complete view of privacy risk.
Hospitals should look for a solution that can monitor PHI access across multiple systems, identify unusual behavior, reduce false positives, prioritize events by risk, and support investigation documentation and reporting. The solution should also integrate with the hospital’s EHR and adapt to its privacy policies, workflows, and risk priorities.
Haystack iS can help identify potentially inappropriate activity involving employee self-access, access to family or coworker records, high-profile patients, unusual user or patient activity, and other access patterns that may not align with expected workflows. Events are prioritized for review so privacy teams can determine whether access was appropriate.
Haystack iS uses AI and machine learning to understand how PHI is typically accessed across a healthcare organization. By evaluating behavioral patterns instead of relying only on broad, static rules, it helps reduce false positives, prioritize higher-risk events, and focus privacy teams on activity more likely to require investigation.
AVA, the Advanced Virtual Assistant in Haystack iS, automates time-consuming investigation follow-up by sending questionnaires, collecting responses, and returning that information to the privacy team. This reduces manual outreach and helps understaffed teams, temporary vacancies, or organizations avoiding another full-time employee manage more investigations with existing resources.
Yes. iatricSystems’ Privacy Managed Services combine experienced privacy analysts with Haystack iS to monitor PHI access, support investigations, document findings, and provide ongoing reporting. Hospitals can supplement existing staff, cover a vacancy, or use the service as a cost-effective alternative to hiring another full-time privacy analyst.
Native EHR audit logs contain important PHI access data, but they can be difficult to navigate, time-consuming to review, and limited to activity within that system. Haystack iS brings EHR audit logs, HR data, and access activity from third-party applications into one easy-to-use platform. AI-driven risk scoring reduces false positives and prioritizes suspicious access, while automated investigation workflows and reporting help privacy teams monitor more activity, respond faster, and support HIPAA compliance with less manual effort.
Yes. Haystack™ iS is the current generation of iatricSystems’ patient privacy monitoring solution formerly known as Security Audit Manager™ (SAM). First released in 2003, Security Audit Manager was recognized as the KLAS Patient Privacy Monitoring Category Leader for four consecutive years. Renamed Haystack iS in 2020, the solution continues that proven foundation with expanded AI, machine learning, automation, and privacy analytics to help healthcare organizations monitor PHI access and manage patient privacy investigations.
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AI scrutinizes every instance of PHI access to identify suspicious activities, and proactively prevent a patient privacy breach