Average Handle Time is an important measure in call centers. It shows the average time an agent spends on one patient call. This includes the talk time (the actual talking), hold time (when the caller waits), and work done after the call like notes or system entries. The formula to find AHT is:
AHT = (Talk Time + Hold Time + Follow-up Time) / Total Number of Calls
In healthcare call centers in the United States, the 2025 average benchmark for AHT is about 3 minutes and 28 seconds. This is different from many other industries where the average can be about six minutes. Healthcare calls need clear and accurate communication, which changes the time needed.
Managing AHT is not simple. If calls are too short, patients may feel rushed, and problems might not get solved. Then, patients might call back again. If calls last too long, call centers get busy and patients wait too long. This can cause some to hang up and lowers satisfaction.
AHT affects how well the call center works and how patients feel about the service.
The National Library of Medicine states that healthcare call centers with 2,000 calls daily have about a 7% abandonment rate. This means 140 patients hang up due to long waits or frustration. This causes lost money—about $45,000 per day for medical practices—and may put health at risk if patients delay care.
Healthcare calls are different from other industries because they deal with people’s health. While being fast is good, making sure patients get clear, accurate, and kind service is very important. Finding the right balance between speed and quality can be hard.
Shorter AHT can help call numbers, but if agents rush, care may suffer. Research shows that AHT between 3.3 and 3.5 minutes works well. It gives enough time for conversation but keeps calls efficient.
Healthcare managers should watch AHT together with patient satisfaction scores like Patient Satisfaction Score (PSAT) and Net Promoter Score (NPS). Focusing just on lowering AHT without checking these scores can hurt care and patient trust.
An example is Orlando Health, a non-profit healthcare system in the U.S. They had problems with long AHT and many hang-ups. After using smart computer systems, they lowered AHT and abandonment rates. This improved patient satisfaction and operation.
Sophia Williams, a specialist in call center work, says finding a balance between AHT and call quality is very important. She warns that trying too hard to cut AHT can make care worse and disappoint patients.
Using AI and automation in healthcare call centers can help manage AHT without hurting patient care. Tools like Simbo AI, which handle phone answering and automation, have benefits for U.S. medical offices.
AI virtual agents can answer calls right away and work 24/7. This lowers wait times a lot and cuts down on missed calls. For example, the healow Genie AI contact center aims to have no call abandonment, better than the usual 5-8% rate.
AI can quickly pull info from Electronic Health Records (EHR) to help agents solve problems on the first call. Research shows AI systems like healow Genie can have FCR rates higher than the usual 70-75%, which lowers follow-up calls and cuts AHT.
Smart AI routing sends patients to the right person or resource. This cuts down on call transfers and repeats. AI works with CRM and EHR to speed up access to patient details, making the call shorter.
For example, AI chatbots with Interactive Voice Response (IVR) let patients say why they are calling before talking to an agent. This helps agents prepare and reduces call time.
AI can handle tasks like scheduling, prescription refills, and payments. This lets agents focus on harder or more sensitive calls, using time better and improving both AHT and call quality.
AI tools like AmplifAI give performance feedback, quality checks, and advice on good call methods. These tools help agents solve calls faster without lowering care standards.
Megan Black, a researcher on contact centers, says coaching and regular feedback are key to keeping a good balance between speed and quality.
Medical administrators and IT managers in the U.S. face challenges from rising patient expectations and the need to control costs. Patients expect fast and personal communication.
Important points for these staff are:
National data shows poor staffing leads to only 60% call coverage, leaving gaps that AI can fill, especially during busy times.
By managing Average Handle Time well, using AI and automation, and supporting agents carefully, medical call centers in the U.S. can work more efficiently without lowering care quality. This helps healthcare providers keep patient trust and maintain good finances as demands change.
Key performance metrics include First Contact Resolution (FCR), Average Handle Time (AHT), Patient Satisfaction Score (PSAT), EHR Integration Efficiency, and Abandonment Rate.
First Contact Resolution (FCR) measures the percentage of callers receiving the answers they need in one call. A FCR benchmark of 70-75% is favorable for patient satisfaction.
Average Handle Time (AHT) indicates the average duration agents spend per call. While shorter AHT can reflect efficiency, complex calls requiring longer time may still yield high satisfaction.
PSAT gauges how well the contact center meets patient expectations, typically rated on a scale from 1 to 5, with higher scores indicating better satisfaction.
EHR Integration allows call centers to access patient records, enabling personalized service and reducing the time needed for providers to assess caller needs.
Abandonment Rate measures the percentage of callers who give up waiting. Aiming for a 0% rate is ideal, especially when employing AI solutions like healow Genie.
AI-powered solutions can provide 24/7 access, reduce wait times, increase FCR, and enhance patient engagement by ensuring all calls are answered promptly.
High abandonment rates can lead to significant revenue loss and dissatisfaction, as many patients may forgo necessary care if their calls go unanswered.
Future trends include increased integration of AI technologies, improved patient empowerment through better information access, and an emphasis on tailored service that meets evolving patient expectations.
Regular reviews, ideally quarterly, allow practices to gain insights and refine processes, ensuring alignment with changing patient needs and technology adoption.