Managing patient phone calls is very important in healthcare work. These calls include making appointments, billing questions, checking insurance, and clinical information requests. Over time, the number and difficulty of calls have grown because of many reasons. These include different patient needs, new healthcare rules, and unexpected public health events like the COVID-19 pandemic.
Labor costs make up a large part of hospital expenses, often about 60% of total operating costs. Call centers need skilled agents who can handle many kinds of questions, from easy appointment booking to complex billing issues involving insurance and financial help. Long calls and many transfers between departments make patients upset and increase costs. Also, high stress and heavy workloads cause staff to leave quickly, raising costs for hiring and training new workers.
Adding more call center staff can help but it is often not possible because of time and money limits, especially during sudden call increases. For example, Houston Methodist expected a big rise of 300-400% in calls about COVID-19 vaccines and saw that adding more humans would be too hard to manage. So, they started using AI to handle patient communications better.
AI-powered phone automation uses a smart voice assistant or chatbot that talks with patients in real time. Using natural language processing (NLP) and machine learning, these systems understand and answer patient questions. They can do:
By automating normal calls, AI can cut down the need for human help, make calls shorter, and improve the speed and accuracy of answers.
Houston Methodist used an AI voice assistant from Syllable during the COVID-19 vaccine rollout. This showed how AI can help hospitals save money and work better. On some days, they had as many as 14,583 calls. The AI system helped manage all these calls.
The AI voice assistant handled 91% of patient calls on its own. This included questions about vaccine eligibility and appointment scheduling. On average, more than 9,000 calls on weekdays and 4,600 on weekends went through AI automation. This stopped callers from giving up because all calls were answered right away at any time.
Besides helping patients, the system let Houston Methodist use fewer temporary workers. That saved money and time. It also stopped the need to buy more phone hardware or software licenses. The hospital could focus its staff on patients with serious needs instead of routine questions.
During this time, Houston Methodist gave out over 4,000 vaccines daily and became the top vaccine provider in Texas. The AI helped with call center work and supported the hospital’s public health mission. The success led the hospital to plan more use of AI.
Billing calls also cause problems in healthcare communication. Research by Cedar Health looked at 4,000 hospital billing calls and found 71 types of questions from 61 root causes. This made calls long, stressed agents, and upset patients.
AI can handle about 30% of billing calls on its own. These calls are usually simple, like checking balance, payment status, or eligibility for help. Using AI for these routine calls means fewer staff are needed. Skilled agents can then focus on harder billing or insurance issues.
Hospitals using AI for billing calls could save more than $3.5 million in staff costs in five years. Savings come from less staff turnover, shorter call times, and focused training. AI also cuts patient hold times and call transfers, which better the service and lowers patient frustration.
AI systems also follow HIPAA rules by making sure calls are safe and private. Products like SimboDIYAS show how AI can handle sensitive patient data safely.
Almost half of US hospitals use AI in revenue-cycle management (RCM), says the American Hospital Association. About 74% use some automation like robotic process automation (RPA) and AI.
AI helps RCM by:
For example, Auburn Community Hospital cut discharged-not-final-billed cases by 50% and raised coder productivity by over 40% after using AI. Banner Health made work better by automating insurance coverage and appeals. A health network in California cut prior authorizations and service denials by 22% and 18%, with no extra RCM staff.
Generative AI is also making call centers more productive, improving efficiency by 15-30%, and helping with eligibility checks and early patient financial talks. These improvements make AI a good investment for hospital leaders.
AI does more than answer calls. It can automate whole workflows tied to patient communication and paperwork. This automation can include:
By automating these steps, healthcare providers can lower paperwork and admin work. It also lowers stress and burnout for call agents, mainly in billing centers, by taking over repetitive tasks. This helps agents enjoy their jobs more and stay longer.
Using AI with patient info needs strong privacy and security. Healthcare groups must make sure their AI follows HIPAA and other laws. Programs like HITRUST’s AI Assurance Program help secure AI systems in healthcare. They work with cloud providers to keep data encrypted and safe from breaches.
When adding AI to call centers, privacy concerns, how AI fits with current hospital systems, and ethical use of AI are key points. Successful use involves training staff to work with AI, checking AI answers for accuracy, and being open with patients about AI involvement.
For medical administrators and IT managers, AI in call handling presents chances and technical tasks. Important points include:
Administrators should know AI is not here to replace staff but to share workloads. This lets people focus on harder, more personal patient care. IT managers must keep AI systems safe, reliable, and well connected with current healthcare tech.
Using AI in healthcare call centers shows clear money benefits:
All these improvements can save hospitals and medical practices millions over five years.
AI phone automation and workflow tools can improve healthcare call centers in the United States. By helping with patient communication and cutting costs, healthcare groups can use resources better, improve patient satisfaction, and keep financial health in a complex medical system.
Houston Methodist anticipated a significant increase in phone calls related to vaccine inquiries, predicting a volume rise of 300-400%. They needed a solution to manage this flood without affecting usual operations while expanding call center staff was time-consuming and financially unfeasible.
They partnered with Syllable to create a phone-based vaccine delivery system utilizing an AI-powered voice assistant. This system provided answers to vaccine-related questions, facilitated self-service appointment scheduling, and connected patients to live agents when necessary.
The AI solution streamlined patient interactions by enabling 91% of calls to be resolved through the voice assistant, allowing patients to quickly check vaccine eligibility and schedule appointments, thus enhancing overall patient satisfaction.
The hotline included an adjusted greeting system to direct patients with vaccine inquiries straight to the specialized contact, ensuring efficient handling of COVID-related calls while preserving operations for other inquiries.
In the first month, the program handled over 9,000 calls per weekday and 4,600 calls per weekend on average, with a peak of 14,583 calls in a single day, maintaining high efficiency.
The AI solution achieved a 91% automation rate across all patient intents, significantly reducing the need for human intervention and enhancing response times.
By providing actionable information, 75% of patients could quickly check their vaccine eligibility and either schedule appointments or get in line for future contacts, improving overall engagement.
They managed more than 9,000 calls daily, with peak times reaching up to 3,500 calls per hour, effectively eliminating call abandonment and ensuring every call was answered on the first ring, 24/7.
The hospital reduced labor costs by minimizing reliance on temporary staffing, eliminating the need for additional telephony hardware or increased software seat licenses, enhancing fiscal prudence.
Houston Methodist aims to continue partnering with Syllable to expand the AI voice assistant’s use across the hospital system, further managing call center volumes and addressing patient requests more efficiently.
Simbo is using AI agents to automate all phone related workflows. Connect now to know more.
Schedule AI Agents Demo Now© Since 2019, Simbo AI.
