# Septica

*/Startups/Septica*

## Startup Overview

This continuous surveillance engine intercepts the earliest biological signals of systemic infection in intensive care units. It ingests high-frequency patient vitals directly from bedside monitors and cross-references them against real-time lab results the moment they clear the pathology queue. Instead of waiting for clinical staff to pull a chart or run a discrete assessment, the system evaluates patient stability at every passing second.

Hospital networks struggle to identify sepsis before irreversible organ damage occurs. Legacy early warning systems, such as the Epic Sepsis Model, Cerner SIRS Alerts, and manual MEWS scoring, rely on episodic data pulls that create critical blind spots between nursing rounds. By operating on a purely continuous-streaming architecture, the platform detects physiological decompensation well before traditional batch-processed triggers fire.

Rather than charging standard software licensing fees, the commercial model aligns directly with hospital economics. The deployment is outcome-priced based entirely on the measurable number of prevented ICU days. This structure guarantees that healthcare providers pay exclusively for the quantifiable clinical impact of intercepted infections.

## Startup Founding Hypothesis

**Approach**: that continuously cross-references ICU vitals with real-time lab results
**Competitors**:
- [Epic Sepsis Model](/Competitors/Epic_Sepsis_Model)
- [Cerner SIRS Alerts](/Competitors/Cerner_SIRS_Alerts)
- [manual MEWS scoring](/Competitors/manual_MEWS_scoring)
**Differentiator2x2**: outcome-priced based on prevented ICU days and purely continuous-streaming

## Startup Solution Coordinate

**Solution**: [Sepsis Outcome Engine](/Services/Sepsis_Outcome_Engine)

## Startup Position2x2

```mermaid
quadrantChart
title Sepsis Detection Landscape
x-axis Point-in-Time Check --> Continuous Streaming
y-axis Fixed Fee / License --> Outcome-Priced
quadrant-1 Continuous & Outcome-Driven
quadrant-2 Batch & Outcome-Driven
quadrant-3 Batch & Fixed Fee
quadrant-4 Continuous & Fixed Fee
manual MEWS scoring: [0.10, 0.15]
Epic Sepsis Model: [0.35, 0.20]
Cerner SIRS Alerts: [0.40, 0.25]
Septica: [0.90, 0.85]
```

## Startup Offer

**Proof**:
- Targeting a 2-4 hour reduction in time-to-antibiotics for standard adult ICU populations
- Aiming to reduce average sepsis-related ICU length of stay by 1.5 days per flagged patient
- Designed to achieve an 80% reduction in false-positive alarm rates compared to manual MEWS scoring
**Tiers**:
- Name: Continuous Compute · Price: ~$10–$25 per patient-day · Inclusions: Continuous real-time ingestion and cross-referencing of ICU vitals and lab results per active patient bed, providing raw streaming risk scores.
- Name: Outcome Partnership · Price: ~$800–$1,500 per prevented ICU day · Inclusions: Zero baseline streaming fees; billing is triggered strictly per statistically validated ICU day avoided via successful early sepsis intervention.
**Guarantee**: If the system fails to detect high-risk sepsis trajectories earlier than your existing EHR baseline during a 90-day pilot, all continuous compute and implementation fees are refunded.
**Business Function**: ProvideService
**Objection Handlers**:
- Concern: Our EHR already has built-in sepsis alerts like the Epic Sepsis Model. Rebuttal: Septica is designed to evaluate streaming vitals against labs continuously, catching deterioration in the gaps between standard batch chart updates.
- Concern: Quantifying a 'prevented' ICU day is too subjective for billing. Rebuttal: Outcome pricing is strictly benchmarked against your hospital's historical severity-adjusted length-of-stay averages.
- Concern: Constant real-time alerts will cause severe alarm fatigue for nurses. Rebuttal: Engineered to alert only when streaming vitals and lab trends strictly correlate, filtering out transient single-metric spikes.
- Concern: We cannot allow external vendors continuous access to live PHI. Rebuttal: Designed to deploy securely within your local hospital cloud environment, ensuring no live PHI leaves your network.
**Pricing Architecture**: UsageMeter

## Startup Brand

**Voice**: Urgent clinical register defined by unyielding diagnostic precision.
**Tagline**: Prevent ICU days with continuous sepsis detection.
**Icon Concept**: vial
**Palette Intent**: institutional-cool
**Visual Identity**: High-contrast slate blue and sterile white dominate the palette, featuring monospace typography and waveform imagery that evoke continuous bedside vital monitors.
**Archetype Reference**: the-sage

## Startup Buyer Chain

**Chain**: B2B → Chief Quality Officer → ICU Clinical Team → ICU Patient
**Gtm Motion**: Acquires hospital networks through outcome-priced pilots targeting Chief Quality Officers, where billing is tied directly to prevented ICU days. Expands by scaling the continuous-streaming model from a single intensive care unit to the entire hospital system's critical care network.
**Agent Channel**: Designed to list its streaming risk-score endpoints in SMART on FHIR capability directories, enabling automated hospital triage agents and autonomous care-coordination models to discover and query real-time sepsis probabilities.
**Primary Channel**: Outbound enterprise sales targeting Chief Medical Informatics Officers, supported by intended listings in EHR application marketplaces (like the Epic Showroom) when hospitals search for SMART on FHIR clinical decision support modules.

## Startup Customer Journey

```mermaid
flowchart LR;A[EHR Showroom Listing]-->B[Chief Quality Officer];B-->C[Outcome-Priced Pilot];C-->D[Continuous Compute Engine];D-->E[Streaming Risk Score];E-->F[ICU Clinical Team];F-->G[Critical Care Network];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 90-day live ICU deployment to prove the system detects high-risk sepsis trajectories earlier than the existing Epic Sepsis Model baseline.
- 120-day shadow pilot to benchmark historical severity-adjusted length-of-stay averages for the outcome pricing model.
- 60-day historical data run to prove an 80 percent reduction in false-positive alarms against manual chart updates.
**Target Metrics**:
- Target: 2 to 4 hour reduction in time-to-antibiotics for standard adult ICU populations
- Aim: 1.5 days reduced average sepsis-related ICU length of stay per flagged patient
- Target: 80 percent reduction in false-positive alarm rates compared to manual MEWS scoring
- Aim: 100 percent retention of live PHI within the local hospital cloud environment
**Target Case Studies**:
- Mid-sized regional hospital ICU director: Target reducing time-to-antibiotics by 3 hours via continuous vital and lab cross-referencing.
- Chief Medical Information Officer at an urban research hospital: Target validating outcome-based pricing by cutting average sepsis ICU length of stay by 1.5 days.
- ICU Nursing Manager at a community health system: Target reducing alarm fatigue by achieving an 80 percent drop in false-positive sepsis alerts compared to legacy MEWS.
**Testimonial Targets**:
- ICU Medical Director: Confirms the system identifies deteriorating patients in the gaps between standard EHR batch updates.
- Chief Nursing Officer: Validates that correlating labs and streaming vitals filters out transient spikes and eliminates alarm fatigue.
- Hospital CFO: Verifies that the outcome partnership pricing strictly aligns billing with benchmarked ICU days avoided.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Major EHR providers like Epic and Cerner restrict or throttle continuous API access to real-time vitals and lab data to protect their own proprietary sepsis models. · Mitigation Status: unmitigated
- Severity: high · Description: Hospitals refuse to agree on the statistical baseline for attribution, making the outcome-based pricing model for prevented ICU days impossible to bill. · Mitigation Status: unmitigated
- Severity: high · Description: The FDA classifies the predictive algorithm as a Class II Software as a Medical Device, forcing a costly clinical trial before commercial deployment. · Mitigation Status: in-progress
- Severity: moderate · Description: High sensitivity in the continuous cross-referencing logic generates false positives, triggering alert fatigue and causing ICU staff to mute the system. · Mitigation Status: in-progress

## Startup Competitors

- [Epic Sepsis Model](/Competitors/Epic_Sepsis_Model) — Incumbent EHR
- [Cerner SIRS Alerts](/Competitors/Cerner_SIRS_Alerts) — Incumbent EHR
- [Manual MEWS Scoring](/Competitors/Manual_MEWS_Scoring) — Status Quo
- [Bayesian Health](/Competitors/Bayesian_Health) — AI Startup
- [Clew Medical](/Competitors/Clew_Medical) — ICU Analytics

## Startup Solution Stack

- [Sepsis Outcome Engine](/Services/Sepsis_Outcome_Engine) — Service-as-Software
- [Vitals Cross-Reference Agent](/Agents/Vitals_Cross-Reference_Agent) — Agent
- [Lab Analysis Worker](/Agents/Lab_Analysis_Worker) — Agent
- [Continuous Streaming API](/Software/Continuous_Streaming_API) — Software
- [ICU Analytics SDK](/Software/ICU_Analytics_SDK) — Software

## Startup Story Brand

**Hero**:
- **Need**: to lead a unit where clinical intervention anticipates patient decline instead of reacting
- **Want**: to prevent septic shock by initiating antibiotics hours earlier than standard alerts
- **Identity**: the ICU Medical Director at a high-volume tertiary hospital
**Plan**:
- Step: Select · Detail: Define your high-risk patient cohorts within your local secure hospital cloud environment.
- Step: Audit · Detail: Septica evaluates streaming vitals against historical EHR baselines to detect early deterioration gaps.
- Step: Intervene · Detail: Receive specific, trend-correlated alerts that trigger early antibiotics and reduce total ICU length of stay.
**Guide**:
- **Empathy**: You shouldn't still be racing against delayed lab entries. The Epic Sepsis Model wasn't built to cross-reference streaming vitals with real-time lab trends every second.
**Problem**:
- **Villain**: intermittent monitoring
- **External**: Sepsis alerts in Epic and Cerner often fire after vital organ failure begins because they rely on batch lab updates rather than continuous cross-referencing.
- **Internal**: You feel like you are chasing a ghost while your team ignores the noise of false-positive alarms.
- **Philosophical**: ICU monitoring was built for continuous life support, not intermittent data snapshots.
**Success**: Septica detects sepsis trajectories hours before standard EHR alerts, allowing you to reduce time-to-antibiotics and move patients out of the ICU days sooner.
**One Liner**: Instead of reacting to delayed batch alerts in your EHR, Septica continuously cross-references streaming vitals with lab results — preventing sepsis-related ICU days through early intervention.
**Positioning**:
- **So That**: prevent septic shock through continuous streaming risk scores
- **Unlike**: Epic Sepsis Model alerts
- **For Whom**: ICU Medical Directors at high-volume hospitals
- **Category**: Continuous Sepsis Detection Service
**Call To Action**:
- **Direct**: Start 90-day pilot
- **Transitional**: Review sample risk trajectories
**Failure Stakes**:
- Lost windows for early intervention
- Excessive severity-adjusted ICU days
- Nurse burnout from alarm fatigue
**Transformation**:
- **To**: the ICU's proactive diagnostic strategist
- **From**: a unit leader reacting to late-stage MEWS scores
**Controlling Idea**: Real-time life support requires real-time diagnostic intelligence.

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Instead of reacting to delayed batch alerts in your EHR, Septica continuously cross-references streaming vitals with lab results — preventing sepsis-related ICU days through early intervention.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 2d87622eeb1ea840

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Continuous Sepsis Detection Service for ICU Medical Directors at high-volume hospitals. Unlike Epic Sepsis Model alerts — prevent septic shock through continuous streaming risk scores.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: b331518322374d6a

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Sepsis alerts in Epic and Cerner often fire after vital organ failure begins because they rely on batch lab updates rather than continuous cross-referencing.
Solution: Instead of reacting to delayed batch alerts in your EHR, Septica continuously cross-references streaming vitals with lab results — preventing sepsis-related ICU days through early intervention.
Customer: ICU Medical Directors at high-volume hospitals
Unlike: Epic Sepsis Model alerts
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 13dcc8443287c3a7

## Startup Token M E D D P I C C

**Pain**: Sepsis alerts in Epic and Cerner often fire after vital organ failure begins because they rely on batch lab updates rather than continuous cross-referencing.
**Metrics**: Target: Septica detects sepsis trajectories hours before standard EHR alerts, allowing you to reduce time-to-antibiotics and move patients out of the ICU days sooner.
**Rendered**: Pain: Sepsis alerts in Epic and Cerner often fire after vital organ failure begins because they rely on batch lab updates rather than continuous cross-referencing.
Economic buyer: Chief Quality Officer
Metrics: Target: Septica detects sepsis trajectories hours before standard EHR alerts, allowing you to reduce time-to-antibiotics and move patients out of the ICU days sooner.
Competition: Epic Sepsis Model alerts
**Mechanism**: spine-derived-v1
**Competition**: Epic Sepsis Model alerts
**Economic Buyer**: Chief Quality Officer
**Vocab Fingerprint**: 2d66748f8df709ab

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Continuous Sepsis Detection Service for ICU Medical Directors at high-volume hospitals

ICU Medical Directors at high-volume hospitals — Sepsis alerts in Epic and Cerner often fire after vital organ failure begins because they rely on batch lab updates rather than continuous cross-referencing. Instead of reacting to delayed batch alerts in your EHR, Septica continuously cross-references streaming vitals with lab results — preventing sepsis-related ICU days through early intervention.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 8f470bd73f5d3f28

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Continuous Sepsis Detection Service. Instead of reacting to delayed batch alerts in your EHR, Septica continuously cross-references streaming vitals with lab results — preventing sepsis-related ICU days through early intervention. Serves ICU Medical Directors at high-volume hospitals.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: ac3ca14be12ecb1d

## Neighborhood

### Candidate solutions

- [Reconcile Mismatched Client Ledgers](/Problems/Reconcile_Mismatched_Client_Ledgers) — candidate solution for · Problems
- [Unbillable Tax Data Extraction](/Problems/Unbillable_Tax_Data_Extraction) — candidate solution for · Problems

### Composed of

- [Sepsis Outcome Engine](/Services/Sepsis_Outcome_Engine) — composes · Services
- [Vitals Cross-Reference Agent](/Agents/Vitals_Cross-Reference_Agent) — composes · Agents
- [ICU Analytics SDK](/Software/ICU_Analytics_SDK) — composes · Software
- [Lab Analysis Worker](/Agents/Lab_Analysis_Worker) — composes · Agents
- [Continuous Streaming API](/Software/Continuous_Streaming_API) — composes · Software

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

### Competitors

- [Manual MEWS Scoring](/Competitors/Manual_MEWS_Scoring) — competes with · Competitors
- [Bayesian Health](/Competitors/Bayesian_Health) — competes with · Competitors
- [Clew Medical](/Competitors/Clew_Medical) — competes with · Competitors
- [Epic Sepsis Model](/Competitors/Epic_Sepsis_Model) — competes with · Competitors
- [Cerner SIRS Alerts](/Competitors/Cerner_SIRS_Alerts) — competes with · Competitors

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