35+ years
delivering healthcare IT
1300+ hospitals
trust iatricSystems
800+
vendor integrations
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.
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.
"*" indicates required fields
AI scrutinizes every instance of PHI access to identify suspicious activities, and proactively prevent a patient privacy breach