Hospice agencies in the U.S. work with tight budgets and small profit margins. They often depend a lot on Medicare payments, which set fixed prices for services. This makes it hard for many hospices to spend enough money on costly new technology.
One big problem is the initial cost needed to buy advanced systems like AI-based prediction tools, remote patient monitors, and virtual reality training devices. For example, predictive analytics—a tool that helps predict patient needs and use resources well—needs new software and hardware to connect data from different places.
Hospices like Empath Health, led by CIO Bivek Pathek, have shown that investing in technology can help businesses grow and run better. In five years, Empath Health grew four times in many parts of its business by using technology in staff work and operations. These stories show that technology can bring good returns, but smaller hospices often find it hard to pay the upfront costs without clearly seeing the long-term financial gains.
Another money problem comes from ongoing costs like software fees, system upkeep, and updates. These costs add up fast, especially if multiple technologies are needed. For example, remote patient monitoring and telehealth systems allow care outside the hospice but often need monthly fees or charges for each patient, which increase as patient numbers grow.
Also, managing new technology adds hidden costs. Staff need time to learn and handle new systems, which takes time away from direct patient care. These opportunity costs are often unseen but important in already small hospice teams.
People who use technology in hospice care include nurses, social workers, doctors, and office staff. Many hospice workers say that training and keeping staff involved are very important when adopting new technology. A recent survey in an Axxess report showed that 53% of hospice workers see staff training and engagement tools as key investments for 2025. This shows training is not just for starting but also for keeping staff comfortable and skilled over time.
Hospices face problems in training because:
To fix these problems, hospices can make training flexible and easy to access. Virtual classes, on-demand videos, and peer mentoring can help staff stay updated without stopping patient care. Also, choosing easy-to-use technology that fits clinical work reduces resistance and learning time.
Hospices like St. Croix Hospice have used voice-to-text tools to make filling out paperwork easier and reduce staff workload. This technology lowered paperwork for clinicians and helped staff less skilled with computers finish notes faster. This shows how useful technology can be when it is easy to use.
Hospice care involves many parts: clinical care, social services, admin, and finance. Adding new technology without messing up existing work is a big challenge.
One big issue is interoperability—making sure new systems can talk and share data with current electronic medical records (EMRs) and care platforms. Without good integration, staff might enter data twice, get patient info late, or make more errors.
Predictive analytics shows this problem well. These models need correct and up-to-date patient data to predict risks like hospitalization or worse symptoms. Hospices like AccentCare and St. Croix Hospice improved patient care by linking predictive tools with EMRs. But this takes tech skills, money for working with vendors, and staff training on how to use the analytics.
Remote patient monitoring tools must send data safely and alert clinicians quickly. Hospices using telehealth need strong internet, data security following HIPAA rules, and clear steps about when and how to respond to alerts.
These integration problems add to the money and training challenges. Hospices must plan carefully to upgrade systems while keeping smooth daily work and meeting rules.
Artificial intelligence (AI) and automation tools are becoming important in hospice care. AI helps hospices improve workflows, cut admin work, and better coordinate patient care. Many hospice teams have limited staff, so these tools are useful.
Bivek Pathek of Empath Health says that AI and robotic process automation (RPA) will improve clinical workflows and billing by 2026. These technologies make repetitive tasks like scheduling, billing, and data entry faster. This lets clinical staff spend more time with patients.
AI also helps predictive analytics by sorting patients by risk and making personal care plans. It looks at past and current patient data to predict symptoms, find patients needing urgent care, and use resources well.
Workflow automation with AI improves communication among hospice team members. AI helps coordinate care, update clinical notes with voice-to-text, and manage referrals and medicine orders. This reduces paperwork and helps keep clinicians and teams working well together.
St. Croix Hospice’s Voyage Vigil Program uses technology to find patients who need more care. AI tools like this improve care while helping hospices use their resources carefully.
Even with benefits, hospices must watch AI tools closely. AI needs regular checks, tests, and safety steps to keep patients safe and protect data. Ongoing review is needed to make sure AI helps without causing problems.
Hospices can use several plans to deal with money and training problems:
Hospice organizations across the United States are seeing the importance of technology to improve care quality and operations. Tools like AI-based predictions, remote patient monitors, voice recognition for notes, and workflow automation can help solve many challenges in hospice care.
But financial limits and training needs create real obstacles for using these technologies. By learning from leaders like Bivek Pathek at Empath Health and Ashley Arnold at St. Croix Hospice, healthcare managers can use careful plans that balance costs, staff readiness, and good care.
Successful technology use in hospices needs clear planning, gradual investments, easy-to-use design, and ongoing checks. Doing this helps hospice providers give better care and keep their operations steady as demands and workforce issues grow.
Hospices primarily experience improved quality of care and operational efficiency as key returns on their technology investments, which help enhance patient outcomes, staff productivity, and satisfaction.
The three main emerging technologies in hospices are predictive analytics, remote patient monitoring, and virtual reality therapies, which aid in personalized care, continuous patient assessment, and staff training respectively.
With rising demand and workforce pressures, staying updated with technology helps hospices sustain operations, improve clinical workflows, and enhance patient and staff experiences through strategic investments.
AI supports hospice care by addressing operational challenges, enabling predictive analytics for patient needs and risk stratification, and facilitating AI-driven care coordination to personalize patient experiences and improve outcomes.
Predictive analytics help hospices anticipate patient needs, improve quality metrics, enhance clinical judgment, and optimize resource allocation, leading to better patient engagement and care outcomes.
Technology streamlines clinical documentation through tools like voice-to-text, supports interdisciplinary collaboration, reduces administrative burdens, and enhances staff engagement, contributing to improved retention and operational efficiency.
Hospices encounter financial constraints, rapid technological advancements, the need for comprehensive training, balancing clinical duties with learning, and the importance of continuously measuring technology’s impact on care and operations.
Virtual reality is employed to improve patients’ quality of life through immersive therapies and also supports onboarding and ongoing training for staff, which boosts employee retention and engagement.
Hospices are focusing on scaling personalized care plans, expanding AI-driven predictive analytics, voice recognition technologies, robotic process automation, and advanced population health risk stratification to optimize workflows and care quality.
Continuous evaluation ensures that technology investments effectively improve patient care and operational efficiency, while safeguarding both patients and staff, helping hospices make honest, data-driven decisions about their tech use.