InHouse is an AI-driven scheduling and management platform for modern nursing teams.

InHouse

Hospital nurse employment is challenged. Today's nurses want control and flexibility, and most hospitals are struggling to shift from an old model of a full-time workforce that works consistent shifts, limited in large part by legacy tech. Agencies have stepped in to fill the gap, and the result is unprecedented margin pressure from nursing.

We founded In-House so hospitals can again become the employer of choice for nurses. We started with a predictive, clinically precise scheduling system. Within weeks of implementation, In-House saves nurse managers 5+ hours per week, and saves the hospital >10% of labor costs, $800K for an average single facility, by building better shifts.

Send us a note at hello@inhouse.health to learn more.

In-House Health

Last weekend, In-House Health was thrilled to present at the Nursing Consortium of Florida Inc.’s 2024 conference, focused on discovering the magic at the intersection of technology and nursing. The conference exemplified, NCOF’s goal of providing a space for collaboration to solve nursing workforce issues facing the state of Florida, uniting nurses in practice and academia. 

As a nurse-founded AI product, we are passionate about leveraging AI to allow nurses to focus more on patient care and less on administrative burdens, such as weekly scheduling adjustments. Our Director of Growth and Partnerships, Zenith Tillemann-Dick, presented a framework for nursing teams to evaluate AI solutions. Given the fast-moving nature of AI and high stakes in healthcare, it's crucial to ensure new technology is solving the right problems with the right solutions. 

One core component of the framework is the importance of clinical insights to developing and structuring new solutions. In-House Health proudly integrates nurses' voices directly into our product development. Our AI model is purpose-built from the ground up to solve nurse staffing challenges through a predictive model for patient census and nurse workload. Our model is trained on diverse and extensive real-world clinical datasets. That training is then validated by a team of bedside nurses who manually review cases ensuring our model remains effective and highly accurate.

#HealthcareInnovation #nursestaffing #Nursing #PatientCare #AIinHealthcare #InHouseHealth #nursing #workforcemanagement

𝐍𝐮𝐫𝐬𝐢𝐧𝐠 𝐢𝐧 𝐍𝐮𝐦𝐛𝐞𝐫𝐬: 𝐓𝐡𝐞 𝐒𝐮𝐫𝐩𝐫𝐢𝐬𝐢𝐧𝐠 𝐒𝐭𝐚𝐭𝐬 𝐁𝐞𝐡𝐢𝐧𝐝 𝐄𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐒𝐭𝐚𝐟𝐟𝐢𝐧𝐠


In the world of healthcare, numbers tell a powerful story, especially when it comes to #nurse staffing. Let's take a look at the statistics in different areas that reveal the impact of effective nurse staffing on patient outcomes, hospital efficiency, and the well-being of #healthcare professionals:

1. Adding just one patient to a nurse’s workload increases patient mortality by 7%, a landmark study by Aiken et al. (2002) in the Journal of the American Medical Association revealed. This statistic alone highlights the direct link between staffing levels and patient outcomes, emphasizing the important implications of staffing decisions. 

2. Hospitals with better nurse staffing levels have 30% lower #burnout rates, research published in the New England Journal of Medicine by McHugh et al. (2011) showed. This significant reduction in burnout not only benefits nurses but also contributes to improved patient care quality. 

3. Replacing a single nurse can cost hospitals between $28,000 to $51,000. Each percentage point change in RN turnover can cost or save the average hospital $270,800 annually, according to a study by NSI Nursing Solutions (2021). These figures underscore the financial imperative of retaining experienced nursing staff through effective scheduling and workload management. 

4. Nurses working shifts longer than 12 hours are up to 3 times more likely to make an error. Despite this, the American Nurses Association reports that 43% of nurses work overtime every week, highlighting a clear area for improvement in scheduling practices. 

5. Preliminary studies suggest that predictive staffing software can greatly reduce unplanned overtime (Healthcare Financial Management Association, 2019). This reduction directly impacts nurse satisfaction and patient care quality.

6. Reducing burnout by 30% through better staffing could lead to over 6,000 fewer hospital-acquired infections annually, resulting in up to $68 million in savings, a study by Cimiotti et al. (2012) in the American Journal of Infection Control revealed.

These statistics paint a rather clear picture: effective nurse staffing is not just about filling shifts—it's a critical factor in patient safety, nurse well-being, and hospital financial health. As healthcare continues to evolve, leveraging data-driven staffing solutions becomes increasingly important in meeting these interconnected challenges.
This brings us to the cutting edge of staffing technology: the application of artificial intelligence and machine learning in healthcare #scheduling. These advanced tools promise to revolutionize how we approach nurse staffing, offering the potential to optimize schedules, predict staffing needs, and ultimately improve both patient outcomes and healthcare worker satisfaction.



image by freepik

We're hiring for Sales, Ops & Product (US) and Engineering (Tel Aviv). Alongside some great rounds here in Ben Lang's list, including other Denver + TLV folks & a near-historic # of instances of "AI" in a single list

As Texas Nurses Association conference officially kicks-off today, we want to highlight an example of how nursing and healthcare delivery have been empowered by cutting-edge innovation to reach - and sustainably treat - more patients across Texas. 

Baylor Scott & White Health, the largest not-for-profit health system in Texas, is revolutionizing healthcare delivery with a groundbreaking at-home care model. They launched a program designed to bring high-quality medical care to patients in their own homes, particularly benefiting those in rural areas with limited access to healthcare.

Utilizing advanced telehealth and remote patient monitoring technologies, Baylor Scott & White is extending its reach across the state, ensuring continuous and comprehensive care. Nurses can conduct virtual consultations and monitor patients' vital signs remotely, effectively managing higher acuity cases from a distance.

The new continuum of care includes hospital-level treatment, palliative care, and skilled nursing services, all delivered at home. Eligible patients will be offered alternatives to conventional inpatient hospitalization, enhancing convenience and care quality. Prior implementations of the model have shown to reduce readmission rates by 44%, decrease the length of stays by 35% while achieving a patient satisfaction rate of more than 90%. 

This initiative marks a significant step towards redefining healthcare delivery, providing patients with more flexibility, improved outcomes, and a higher standard of care in the comfort of their homes.

Our team, Zenith Tillemann-Dick and Becca McNichols, MSN, RN, is excited to discuss the impact of nurse-led innovative technologies across Texas at this year’s Texas Nurses Association conference.

Nurse managers are experiencing burnout and high rates of turnover. Read our recent article which discusses how automating routine tasks and providing data-driven scheduling adjustments, can reduce nurse manager burnout and improve productivity. #nursestaffing #nursemanagers #ai

Throughout our work at In-House Health, we speak to numerous nursing managers and bedside nurses. Among the usual concerns such as staffing shortages, work safety, burnout, and so on, we also often hear about “mental health”. As a nurse-centric organization, we investigated how addressing controllable aspects of the staffing crisis can lead to better mental health management within the nursing profession.

What is mental health anyway?

Mental health is defined as “a state of well-being in which every individual realizes his or her own potential, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community” (WHO, 2004).

Sounds reasonable.  

Nursing talk around mental health is often related to problems within the nurses’ working environments - items such as inadequate staffing, the ability to provide safe care, working long hours with high levels of fatigue, and a sense of not being valued. 

When facilities are understaffed, nurses and other healthcare workers are under pressure to work overtime and accept additional shifts without adequate rest periods between shifts. One study of hospital nurses working successive 12-hour shifts found that the majority slept less than six hours between shifts (Geiger-Brown et al. 2012). Other research has found that people working rotating shifts sleep up to four hours less when they work at night (Han, J. 2024). The relationship between understaffing and fatigue is cyclical. Poor staffing and mandatory overtime lead to fatigue, which can lead to burnout and more healthcare workers choosing to leave the bedside to protect their health and mental health. This leads to more understaffing and the vicious cycle goes on.

There are multiple aspects to nursing mental health, some cannot be controlled (coping with illness, death, misery), this is why nursing is often perceived not as a profession, but rather as a calling or a vocation. This is exactly why we at In-House Health want to improve aspects that can be controlled. We want to allow nursing managers to create better-staffed shifts allowing bedside nurses to rest properly and maintain a work-life balance. Join us in our mission to bring sustainability back to nursing. 

#mentalhealth #nursing #nursewellbeing #burnout #staffingcrisis

Metric
Company Name	InHouse
Symbol
MSH ID	HEALTH:INHOUSE
Market	PRIVATE
Sector	Healthcare & Health Services
Industry	Healthcare Technology
Country	US
Stage
Employee Count	14
Website	inhouse.health
LinkedIn	in-house-health
Founders

Metric
Market Cap
Enterprise Value
Monthly Web Traffic
Web Traffic Growth
Valuation
Raised Capital

Metric
Revenue
Revenue (LTM)
Revenue (NTM)
Gross Profit
EBITDA
Operating Income
Net Income
EPS
Diluted EPS
Revenue 2022
Revenue 2023
Revenue 2024
Revenue 2025
Revenue 2026

Metric
Revenue Growth (LTM)
Revenue Growth (NTM)
Gross Profit Growth (LTM)
EBITDA Growth (LTM)
Net Income Growth (LTM)
14-Day Growth Score
28-Day Growth Score
90-Day Growth Score
365-Day Growth Score

Metric
Gross Profit Margin
Operating Profit Margin
EBITDA Margin
Net Profit Margin
Return on Equity
Return on Assets
Return on Capital Employed

HEALTH:INHOUSE

InHouse

Company Overview

Market Metrics

Financial Performance

Growth Metrics

Profitability Ratios

Valuation Multiples

Operational Metrics

Cash Flow Metrics

Balance Sheet Metrics

Efficiency Metrics

Metric
P/E Ratio
P/B Ratio
Revenue Multiple (LTM)
Revenue Multiple (NTM)
EBITDA Multiple (LTM)
EBITDA Multiple (NTM)
Price to Sales Ratio
EV Multiple

Metric
Days Sales Outstanding
Days Payables Outstanding
Days Inventory Outstanding
Operating Cycle
Cash Conversion Cycle
Asset Turnover

Metric
Operating Cash Flow
Free Cash Flow
Cash Flow to Debt
Operating Cash Flow/Sales
Free Cash Flow Yield

Metric
Cash & Equivalents
Accounts Receivable
Inventory
Goodwill
Debt to Capitalization
Debt to Assets
Current Ratio
Quick Ratio

Metric
Rule of 40 (LTM)
Rule of 40 (NTM)
Stock Comp to Revenue
R&D to Revenue
SG&A to Revenue