Patient access means how patients make appointments, register, check their insurance, pay bills, and talk to their healthcare providers. Good patient access systems help patients get care faster, keep them happy, and make clinics run smoothly. But many healthcare systems in the United States face big problems like many missed appointments, complicated scheduling, and not enough staff.
These problems cause longer waits, more work for staff, lost money, and worse care. A recent survey by Experian Health showed that scheduling appointments is very important for patient access. Many providers said that delays in scheduling and missed appointments lower patient satisfaction. Missed or late-canceled appointments block spots that could have been used for other patients who need care.
This problem happens because of poor communication, mistakes in manual scheduling, and weak follow-up steps. Staff shortages in both admin and clinical jobs make it harder too. With fewer people to manage appointments, front-office workers find it hard to keep the schedule full and organized. Experian Health’s 2023 report found that 36% of healthcare providers said new technology, like automation and patient self-service tools, helped with staffing issues.
Artificial intelligence, or AI, uses smart technology that is more accurate and faster than old scheduling systems. AI programs study lots of patient data, like past attendance, communication choices, and habits to make appointment scheduling better.
One example is PEC360’s Smart Confirming Technology. In a healthcare system in the Carolinas with over 500 doctors and 1.2 million visits a year, PEC360 helped lower the no-show rate from 15.1% to 6.5% in one year. The next year, it went down even more to 5.9%. This led to over 145,000 more patient visits and saved $10.8 million in the first year. The system’s total value over time is over $75 million.
PEC360’s system makes appointment confirmations better by sending reminders at the best times and how often each patient prefers. It also uses “smart rescheduling,” which finds patients likely to cancel or change their appointments. Those patients get contacted early by intelligent texting. This helps keep schedules full and cuts down on empty times from last-minute cancellations.
PEC360 also works well with Electronic Health Record (EHR) systems. This connection keeps schedules and patient data accurate and up to date. It stops errors that happen when information is typed by hand or stored in separate systems.
AI also helps the front office work better. Companies like ORO Intelligence made AI assistants that talk with patients to set up appointments. These assistants help fix common problems at the front desk. ORO Intelligence was started by people who know healthcare technology and managing medical records.
TJ Davison, ORO’s CEO, says regular scheduling tools in electronic medical records don’t always use enough information. This makes it hard to manage waitlists and spot why patients miss appointments. ORO’s AI assistant looks at lots of scheduling data to organize work better and help staff be more efficient.
ORO plans to connect its software with big medical record systems like Epic. This will help make sure scheduling data is correct and easy to use across different systems. This is important because many hospitals and clinics use different software that don’t share information well.
Using AI assistants lets practices automate simple scheduling tasks. This frees staff to help patients with more difficult needs. The AI can handle confirming, rescheduling, and canceling appointments. It sends messages in ways patients prefer. Using these assistants helps doctors’ offices use their time better, cut costs, and improve patient access.
AI automation works for more than scheduling. It helps many front-office jobs like registration, insurance checks, billing, and talking to patients.
Automation lowers the work staff have to do by filling out registration forms automatically with patient info from EHRs. Tools like digital pre-registration portals save staff time and prevent mistakes. Experian Health calls this the “Registration Accelerator.”
AI also speeds up insurance checks during patient check-in. This helps stop billing mistakes and makes sure money information is ready early. This lowers delays and surprises for patients and office workers.
Automated patient communication uses secure messages and reminders to keep in touch with patients fast. Patients can manage their appointments any time, pick how they want to get messages, and get updates about their care. Studies show this helps reduce no-shows and makes patients more satisfied.
By using AI in these parts of patient access, healthcare systems can work even with fewer employees. This improves how well things run and makes patients’ experiences better.
Using AI for patient access saves money and helps clinics run better. For example, a primary care group in Northern California had a 3000% return on investment and made an extra $6.2 million in one year after starting PEC360’s AI scheduling system.
Cutting no-shows helps doctors see more patients and earn more money. Missed visits mean lost income and can delay care, which might cost more later.
AI tools that lower no-shows and make scheduling easier also help clinics see more patients without needing more resources. This improves how many patients they can treat and how easily patients get care.
Even though AI has benefits, healthcare groups face challenges when adding AI to their patient access work. Old technology and limits in current EHR systems can make it hard to use AI smoothly. Sharing data between different systems is still a big problem.
The price to start AI and training staff slows down how fast AI is used more widely. But studies show the saved money and better work over time are worth these costs.
It is important to follow data privacy and security rules. AI systems that use patient data must follow laws like HIPAA to keep information safe while still allowing smart automation.
Healthcare leaders and IT managers in clinics need to know that helping patients get appointments and lowering missed visits is not just about daily work. These goals also help patient health and keep clinics running strong.
AI scheduling tools and automation offer ways to fix these problems that can grow as needed. More healthcare systems in the U.S. are focusing on better patient access. Better connections between AI and medical records will help reduce delays, make scheduling more correct, and use staff time better.
Using AI in these areas makes healthcare more focused on patients. It helps patients get the right care at the right time and helps clinics run well and stay financially healthy.
ORO Intelligence is a startup that develops AI-powered software solutions aimed at improving patient access to timely care and increasing revenue for healthcare providers, addressing inefficiencies in healthcare scheduling.
The founders, TJ and Tim Davison, have backgrounds in healthcare technology and data science, respectively, with experience in EMR management and AI research.
ORO Intelligence targets scheduling inefficiencies in healthcare, particularly no-shows and late cancellations, which contribute to increased costs and long wait times for appointments.
The AI assistant collects and analyzes thousands of data points on patient behavior and preferences, improving scheduling efficiency and workflow through machine learning.
Current solutions often use incomplete data for waitlist management and lack the ability to identify trends in patient scheduling behavior due to limited data collection.
ORO plans to conduct a pilot study in collaboration with an Epic organization to test and refine its scheduling software and analytics.
The company aims to work with larger health systems and integrate with additional EMR systems while exploring future AI technologies to enhance its product.
The team consists of experts in healthcare technology, EMR management, and data science, enhancing their ability to develop solutions for complex scheduling issues.
ORO values the mentorship, networking opportunities, and educational resources provided by the Polsky Center, which aid in refining their business strategies and development.
Participation in the New Venture Challenge helped ORO identify key team members and gain valuable insights into startup dynamics within the healthcare sector.
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