Our Solutions
Thoughtful automations to get nursing teams out of spreadsheets and back with patients. Purpose-built algorithm to predict workload, adjusted for acuity, in advance. Workforce engagement tools to capture and incorporate preferences and steer work to full-time staff.
Best-in-Class Prediction
Hourly Workload and Customized Shifts
Proprietary algorithm segments each shift by workload, factoring in patient acuity, volume of admits/discharges, and expected team tenure. Custom shift lengths can be tailored to specific, day-of unit needs.
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Automated Schedules
AI Copilot for Balanced Workload
Unbalanced shifts identified between 3 and 21 days in advance, depending on unit. AI Copilot factors in cost and preferences to suggest specific team updates as early as possible. Updating a full workweek can take as little as 10 minutes.
Preference Tracking
Thoughtful Management of When and How the Team Wants to Work
Simple, 15-minute onboarding process to log standing preferences, conflicts, and interest in picking up extra shifts. If In-House is used for self-scheduling, nurses can sign up from anywhere, customized to properly give the team choice while ensuring shifts are as balanced as possible and require less rework by managers.
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Team Activation
Track What Matters and Emphasize Your Core Team
Detailed, customizable bank of team characteristics and preferences, which enables In-House's engine to route open shifts to those likeliest to pick them up. Automatic Reliability Score tracks likelihood of callins by staff, by day of week/shift.
Why In-House
Crisis in our clinical workforce demands game-changing innovation
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Nurse management is increasingly complex
Nurse managers' span is growing: larger teams and more responsibilities. At In-House, we believe that leaders need thoughtful automation to balance their rising load
Traditional nurse employment is broken
Today's workforce expects flexibility, control and transparency throughout their career in a way most healthcare providers are effectively not set up to provide
How nurses deliver care is changing
Facilities are adding enablers like virtual nursing, AI scribes, and new roles like Patient Care Techs. With new tech and team types, adjusting schedules is critical
Agency reliance can be unsustainable
To ensure balanced, high-quality care, outsourced caregivers must be placed thoughtfully and alongside the right full-time team to succeed
Who We Serve
Helping Nursing Teams Across Care Settings
In-House's app and predictive technology has been applied to a variety of settings that face complex nurse scheduling requirements.
the challenge
Unpredictable volumes and patient acuity make it hard to ensure the right team is scheduled
Budget pressures often require managers to downstaff last minute, amidst a dozen other priorities
the solution
AI algorithm predicts shift-level staffing requirements 1-3 weeks for the future: predictions go out the further for operative units, but In-House can give recommendations even for high acuity units like ICUs
In-House's proprietary Workload Score factors in patient-specific work requirements, and adjusts unit predictions accordingly
the challenge
Federal and state regulations drive unique nursing care patterns, such as rounding, 1:1 care, and caregiver-specific ratios
Functional complexity and certification requirements make float and agency challenging solutions to administer
the solution
Proprietary AI algorithm automatically predicts census and unit-level workloads
Customizable feature set allows facility- and unit-level parameters
Automatic engine identifies the right place for junior, float or agency resources to be safely staffed
the challenge
Federal and state regulations, including new CMS requirements, leading to real-time operational and financial risks
Fragmented and often high-turnover workforce that takes an variable amount of shifts per week, causing schedulers to spend a lot of time chasing for availability and signups
the solution
Automatic, real-time prediction of HRPD requirements and prioritized recommendations of which slots to fill and with which team member
Button-push text & email messaging capabilities within In-House app, which automatically resolves open slots once confirmed
Historical, current real-time, and future HRPD reporting suite
the challenge
Staggered shifts and particular spikes of activity and make scheduling complex
Uncertainty around perioperative care can make schedulers hesitant, leaving unused OR slots
the solution
Engine that predicts actual surgical start and end times to match perioperative care to need
Schedule templating that accommodates staggered and differential-length shifts
Onboarding made Easy
In-House is built to run on top of standard clinical and staffing data feeds and minimize IT burden on your organization. Standard implementation can be as short as 2 weeks.
1
Opportunity Assessment
In-House will perform a free opportunity assessment to see the impact of predictive, automatic scheduling at your organization.
2
Scoping
Identify which facilities and/or units will participate in an initial rollout, and all necessary parameters to include in In-House's scheduling engine, such as census-based staffing requirements and unit-level holiday/night requirements.
3
Data Integration
In-House's integration team will work with your organization's IT to receive several standard clinical and staffing data feeds.
4
Launch
In-House's clinical & ops teams will be on-site for go-live, side-by-side with the users to ensure success. After month 1, a dedicated support rep will be assigned, along with helpdesk access.
5
Performance Management & Expansion
Post-launch, steering committee report out format with stakeholders from Nursing, Finance and IT to stay aligned and make adjustments. As metrics are hit, program can be scaled up within a network of facilities or net new initiatives around workforce prediction and flexibility, such as inter-facility float.
Frequently Asked Questions
What’s predictive scheduling? And why does it matter?
Predictive scheduling uses AI to forecast patient census, acuity levels and staffing needs in advance. This helps nursing teams across all care settings balance workloads, ensure accurate staffing, and maintain compliance with regulatory and skill mix requirements.
How is In-House different from other scheduling tools?
In-House is purpose-built for nursing teams, integrating predictive analytics, workload adjustments and preference tracking to go beyond standard “staffing grids” that do not vary. Our unique AI copilot balances shifts weeks in advance, automatically adjusting for patient acuity, union rules and regulatory requirements.
What are nursing teams saying about In-House?
Nurses using In-House’s platform report less stress and more control. With In-House, nursing teams are freed from the burden of constant schedule adjustments, giving nurses the ability to focus on what truly matters – their patients and their team’s well-being. This isn’t just an operational improvement; it’s a shift in how we value and support our frontline clinicians.
We already have a scheduling tool – why do I need In-House?
In-House doesn’t just manage scheduling chaos, we prevent it. Most scheduling systems are still fairly manual – In-House is automating. Automation can be either on top of your existing system or In-House can serve as your base system.
Our schedules are already stretched thin. How can In-House help?
Scarcity is inevitable, but inefficiency isn’t. With In-House, you can maximize your existing team to be able to deliver more care by being scheduled precisely. Our AI-driven scheduling predicts patient workload and balances the skill mix of your available staff – which is why many In-House implementations focus on increasing availability and throughput for an existing constrained team.
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Get out of spreadsheets and back to the bedside
Free opportunity assessment for your organization