RN supervisor at a skilled nursing facility is forced to personally supervise a wandering, hallucinating memory care patient due to lack of a sitter and delayed psychiatric consult, risking her license and preventing her from doing her job.

The data lists no direct existing solutions, meaning there may be no reported competitor for this exact workflow, but skilled nursing facilities currently address the problem with fragmented manual processes and adjacent point solutions. In staffing, agencies and apps like ShiftKey, IntelyCare, and Nursa help fill per-diem nurse or aide shifts, but none automatically trigger a sitter request based on patient behavioral risk or psychiatric escalation. Their strengths are speed and large worker pools, but they are not designed for clinical risk-based sitter dispatch. In documentation and care planning, SNF EHRs like PointClickCare, MatrixCare, and ECP hold patient data and notes, but behavioral alerts are usually manual and retrospective, not real-time escalation tools. In fall and wandering detection, CarePredict, SafelyYou, and Vigil Health use sensors or AI video to detect falls or wandering, but they focus on detection rather than closing the loop with staffing requests and psychiatric consults. Telepsych platforms such as Iris Telehealth or generic telehealth modules handle psychiatric consults, but they require separate referral queues and do not integrate with on-shift staffing decisions. The gap is a clinical-operational workflow product that combines risk prediction, automated sitter requests, and telepsych consult tracking in one mobile interface for nursing supervisors. A new entrant could exploit this by becoming the behavioral incident command layer for memory care units, rather than another sensor, marketplace, or EHR module. The very limited signal data means the existing solution landscape is inferred and not confirmed by the reported pain point.

The ideal customer is a skilled nursing facility with a dedicated memory care or behavioral unit, likely 60 to 150 beds, where wandering, hallucinations, and psychiatric escalations create immediate staffing crises. The economic buyer is typically the Director of Nursing, Nursing Home Administrator, or a regional clinical director in a multi-facility chain. The actual users are RN supervisors, charge nurses, and unit managers who must decide in real time whether to pull a nurse, call an agency sitter, or physically supervise a patient themselves. Their current workflow is reactive: a patient begins wandering or hallucinating, a nurse or CNA verbally alerts the supervisor, the supervisor tries to find coverage by calling an agency or pulling staff from another unit, and then separately pages or faxes a psychiatric provider for a consult that may be delayed for hours or days. The trigger to buy is usually a serious event, such as an elopement attempt, fall, staff injury, state survey citation, CMS tag for inadequate supervision, or a nurse threatening to leave over unsafe conditions. The budget range is constrained but real. SNFs already pay $20 to $35 per hour for sitters and $150 to $300 or more per telepsych consult. A platform at $199 per month per facility plus $10 per active patient per month may be justified if it prevents one extended sitter shift, one elopement event, or one regulatory citation per quarter. The buyer needs direct cost avoidance and compliance documentation, not just alerting.

A new product should position itself not as another staffing app but as a clinical safety and behavioral escalation platform for skilled nursing and memory care. The core differentiator is the closed loop: AI-powered risk scoring identifies a high-risk wandering patient, automatically requests a sitter based on pre-set staffing rules, and simultaneously triggers a psychiatric consult request with escalation tracking. Other tools only detect or only staff or only document, but few integrate all three into one nurse-facing workflow. A focused niche strategy on memory care units within SNFs is likely stronger than trying to serve all senior living at first, because the problem is most acute, legally risky, and operationally expensive there. The product should also integrate with existing EHRs such as PointClickCare or MatrixCare rather than try to replace them, and it should treat staffing agencies or internal schedulers as fulfillment partners rather than competitors. A compelling positioning statement would be: SitterSync prevents wandering and behavioral crises by getting the right help to the unit before you have to. The pricing model of a flat facility fee plus per active patient fee aligns with acuity and usage, making it easier for a DON to start small and expand as risk increases. Regulatory compliance can be an additional wedge, with automated audit trails showing timely sitter requests and psychiatric escalations for CMS QAPI and survey readiness.

Overall risk is high. The strongest risk is market validation: the entire opportunity currently rests on one independent report with high severity and explicit willingness to pay, but a sample size of one is not enough to confirm real demand or willingness to budget. SNFs have long sales cycles, tight operating margins, and frequent competing priorities such as staffing shortages, PPE, and regulatory compliance. Technical risk is also significant because AI-powered risk scoring requires integration with varied SNF EHRs, access to MDS or behavioral data, and clinical validation. False positives or false negatives in risk scoring could reduce nurse trust or create liability if a flagged patient is not watched. Automated sitter requests do not guarantee that a sitter is available, so the product may need to integrate with staffing agencies or internal float pools to deliver on its promise. Execution risk is high because the founder needs healthcare sales experience, clinical credibility, and the ability to navigate slow facility decision-making. Regulatory risk includes HIPAA compliance, state SNF regulations, and CMS conditions of participation. The risk scoring may be viewed as clinical decision support, so legal review is needed to ensure it is not treated as unregulated medical device software. Competitive risk also exists because PointClickCare, staffing marketplaces, or telepsych vendors could add similar workflow features. The reimbursement environment is another risk: there is no direct billing code for this software, so the buyer must justify it from operating budgets and cost avoidance.

1. Interview 15 Directors of Nursing or Nursing Home Administrators at SNFs with memory care units, using LinkedIn and state healthcare associations, and ask them to walk through the last wandering or hallucination incident: who noticed it, how a sitter was requested, how long a psychiatric consult took, and what it cost. 2. Build a simple landing page with a 90-second product walkthrough video and run cold outreach to 100 SNF administrators, measuring demo request rate and including one screening question about their current sitter procurement and psych consult delays. 3. Shadow 2 to 3 shifts in a memory care unit to observe how nurses and CNAs currently document behavioral incidents, request help, and escalate psychiatric concerns; identify the exact EHR screens and fields they use. 4. Interview 3 SNF IT directors or MDS coordinators about EHR integration with PointClickCare, MatrixCare, or PCC, and ask whether fall risk, wandering history, and psych meds are accessible in a usable format for a risk score. 5. Create a clickable Figma prototype and test it with 5 RN supervisors using the precise pain scenario: a hallucinating wandering patient at 2 a.m.; measure whether they can request a sitter and a psych consult in under two minutes. 6. Run pricing validation with 10 facilities by proposing $199 per month plus $10 per active patient versus a per-incident fee, and ask if they would sign a letter of intent or commit to a paid 30-day pilot after seeing the prototype. 7. Partner with one SNF for a 30-day pilot tracking sitter hours, wandering or fall events, psych consult latency, and staff overtime, then ask for renewal at full price and collect a written case study.

Directional market sizing is possible but highly uncertain given only one signal report. The United States has about 15,000 skilled nursing facilities and roughly 30,000 assisted living or memory care communities, but the SitterSync value is strongest in SNFs with dedicated dementia or behavioral units. Using the stated pricing model, a facility would pay $2,388 per year in base fees. If the average facility has 20 active high-risk behavioral patients, the patient fee adds $2,400 per year, for an annual contract value of about $4,788 per facility. A broad TAM across 15,000 SNFs would be roughly $72 million in annual recurring revenue, and if assisted living or memory care communities were included the TAM could exceed $150 million but with lower acuity and willingness to pay. A more realistic SAM is the subset of SNFs with dedicated memory care units or high wandering risk, perhaps 8,000 to 10,000 facilities, yielding approximately $38 million to $48 million in annual recurring revenue. A three-year SOM for a startup with no existing brand, one validation data point, and long healthcare sales cycles might be 300 to 700 facilities, or about $1.4 million to $3.4 million ARR. These estimates should be treated as speculative until the validation steps above produce stronger demand evidence.