Stop Hidden Infection
Transmission in 24 hours -
Before it Becomes an Outbreak
NGD’s real-time pathogen intelligence system reveals transmission routes in 24 hours - so your team can act faster, stop more outbreaks and protect more patients.
24 hours
Actionable insight in as little as 24 hours
Up to 48 Samples
High-throughput detection per run
Real-Time Insight
Confident decisions when it matters most
Most Infection Transmission Goes Undetected — Until It’s Too Late
90%
of in-hospital transmission goes undetected
Healthcare-associated infections remain one of the most persistent and costly risks facing hospitals, and the clinical stakes are rising. Antimicrobial-resistant pathogens are increasing rapidly in U.S. hospitals, highlighted by the CDC’s recent report of a more than 460% increase since 2019 in infections involving deadly bacteria carrying the NDM resistance gene (1).
Despite the dedication of Infection Prevention teams, traditional methods rely heavily on manual chart reviews, delayed laboratory confirmation and assumptions rather than definitive evidence. Without real-time sequencing, transmission remains largely invisible—and an estimated 90% of in-hospital transmission goes undetected (2–4).
At the same time, many suspected outbreaks lead to resource-intensive investigations that ultimately prove unnecessary. When isolates are sequenced, fewer than 10% of suspected outbreaks are found to be genetically linked (3).
By the time a genuine cluster is identified, patients may already have been exposed, costs have escalated and staff resources are strained. The result is undetected transmission, unnecessary investigations and preventable HAIs—contributing to longer hospital stays, capacity pressures, regulatory penalties, reputational risk and patient harm.
NGD Infection Prevention makes transmission tracking cost-effective and operationally practical. By combining automated sample preparation, real-time sequencing and immediate bioinformatic analysis, the NGD system gives Infection Prevention teams the evidence they need to identify transmission early, focus resources effectively and intervene before further patients are affected.
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1 CDC report finds sharp rise in dangerous drug-resistant bacteria: NDM-CRE infections increased >460% in the United States, 2019–2023. Centers for Disease Control and Prevention (CDC), September, 2025.
2 Longitudinal genomic surveillance of MRSA in the UK reveals transmission patterns in hospitals and the community. Coll et al., Sci Transl Med, 2017.
3 Whole-Genome Sequencing Surveillance and Machine Learning of the Electronic Health Record for Enhanced Healthcare Outbreak Detection. Sundermann, et al. Clinical Infectious Diseases, 2022.
4 Clinical Implementation of Routine Whole-Genome Sequencing for Hospital Infection Control of Multi-drug Resistant Pathogens. Harris, et al. Clinical Infectious Diseases, 2023.
How Our System Can Benefit Your Hospital
Hospital-acquired infections are costly—and often preventable. By enabling earlier, evidence-based detection of transmission, NGD helps hospitals identify outbreaks sooner, target interventions more effectively and avoid wasting resources on false alarms.
Potential ROI
>20:1
Modeled health-system analyses show potential ROI greater than 20:1 when applied at operational surveillance scale.
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For financial modeling, we apply a conservative 20– 25% reduction in transmission-related infections, materially below reductions observed in best-in-class programs, recognizing that impact depends on baseline rates and operational execution.
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Preventing transmission-related infections can avoid hundreds or even thousands of inpatient bed-days each year, helping to reduce average length of stay, release valuable capacity and improve the patient experience.
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Proactive genomic evidence strengthens documentation, supports defensible reporting and may reduce exposure to costs and penalties associated with hospital-acquired conditions.
Healthcare-associated infections can cost hospitals an estimated $25,000–$50,000 per case. Preventing just five infections per year could represent approximately $125,000–$250,000 in avoided costs, alongside reduced excess length of stay, isolation, treatment and downstream complication costs.
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Genomic confirmation helps distinguish genuine transmission from unrelated cases, reducing unnecessary investigations, isolation measures and manual contact tracing. This allows Infection Prevention teams to spend less time retrospectively disproving suspected outbreaks and more time intervening when active transmission is detected.
The Solution: A Real-Time Infection Intelligence System
The NGD platform combines automated sequencing and advanced analytics to give your team direct evidence of transmission — in ~24 hours. Unlike traditional tools, NGD doesn’t rely on rules or retrospective data. It delivers genomic certainty so your team can act immediately.
Fully automated sample preparation with NGD200
ANALYSE
PREPARE
Makes routine sequencing feasible without specialized personnel. It prepares up to 48 bacterial samples in a single run, completing the workflow required to move samples to sequencing.
In about 4 hours, the system delivers 48 barcoded samples ready to be loaded onto the sequencer, making routine in-hospital transmission detection operationally achievable.
Automated and validated bioinformatics
Rapidly determines whether samples sequenced overnight are linked to one another or to prior isolates, enabling earlier intervention before transmission becomes a larger outbreak.
The highly scalable system, developed over 8 years, is so optimized that it can compare today’s samples against thousands sequenced in the previous year and generate transmission detection reports soon after sequencing is completed.
Interactive epidemiologic user interface: NGD EpiAssist
ACT
Operating in a HIPAA-compliant manner and entirely within the hospital firewall, EpiAssist builds an interactive timeline of patients, wards, locations, procedures, and shared caregivers.
It assists Infection Prevention teams in identifying likely root causes and documenting interventions, dramatically reducing the time required for outbreak investigation.
BUILT FOR REAL-WORLD HOSPITAL WORKFLOWS
Designed for Infection Prevention Teams—Not Data Scientists
NGD is purpose-built for hospital environments, fitting into existing workflows without adding unnecessary technical complexity.
Pinpoint transmission routes with confidence
See who infected whom and how.
Reduce infections and protect more lives
Act earlier to stop transmission.
Build a stronger case for resources
Data-driven impact that leadership trusts.
Make faster decisions with real-time insight
Actionable results in as little as 24 hours.
Work as a high-performing infection prevention team
Clear, visual insights everyone can understand.
Your team gets answers—not more data to interpret.
WHY GENOMIC SURVEILLANCE?
Because Assumptions Aren’t Enough
Traditional surveillance can identify potential concerns, but genomic evidence is needed to determine whether infections are genuinely related.
Traditional Surveillance
Flags potential issues based on predefined rules
Requires manual investigation and validation
Cannot confirm whether transmission has occurred
NGD Genomic Surveillance
Provides direct genetic evidence of related infections
Delivers high-confidence evidence for decision-making
Enables faster, more targeted interventions
Move from suspected outbreaks to confirmed transmission.
Clinical Evidence
32%
90%
1/3
MRSA
Genomic sequencing revealed that 32% of NICU patients were part of hidden S. aureus transmission clusters missed by conventional surveillance, highlighting how standard screening can underestimate hidden hospital spread.
Whole Genome Sequencing Enabled Identification of Undetected Putative Infection Transmission in a NICU. David C. Gaston et al, ASM Microbe Abstract 2024.
Nearly 90% of VRE acquisitions were detected through colonization, highlighting hidden transmission missed by routine surveillance. Transmission often occurs through colonized carriers before infection develops - making it invisible to traditional infection-based surveillance.
Genomic sequencing surveillance of patients colonized with vancomycin-resistant Enterococcus (VRE) improves detection of hospital-associated transmission. Alexander J. Sundermann, et. al, BMC Global Public Health, 2025.
In a three-year NICU genomic surveillance study at CHOP, one-third of NICU S. aureus colonization events resulted from patient-to-patient transmission. 34% of bloodstream infections were attributable to transmission, underscoring the limits of passive surveillance.
Rapid Dissemination of Staphylococcus aureus in the Neonatal Intensive Care Unit is Associated with Invasive Infection. Qianxuan She et al, Nature, 2026.
Automated genomic analysis identified MRSA transmission clusters missed by standard infection surveillance. It demonstrated that real-time genomic surveillance can be operationalized without extensive bioinformatics expertise.
Pilot Evaluation of a Fully Automated Bioinformatics System for Analysis of Methicillin-Resistant Staphylococcus aureus Genomes and Detection of Outbreaks. Nicholas M. Brown et al, Journal of Clinical Microbiology, October, 2019.