KPIs are numbers that show how well a contact center is reaching its goals. In healthcare, these goals usually include lowering patient wait times, making appointment booking accurate, quickly handling insurance questions, and giving correct support. KPIs help medical practice leaders watch performance, find problems, and make improvements.
Call center KPIs usually fit into three groups:
Looking at these KPIs often helps healthcare groups make front-office phone service better, an important part of patient loyalty and a medical practice’s reputation.
CSAT measures how happy patients are with their service right after the call. It is usually collected through surveys after the call. The CSAT shows if patients think their needs were met or exceeded.
Higher CSAT scores link to patients staying longer and telling others about the service. Good call centers in healthcare aim for CSAT scores above 70%, and some reach 90%. Watching these scores helps managers see if front-office staff provide steady, friendly, and helpful support.
FCR shows the percent of calls where the patient’s problem or question is solved during the first call. This is very important in medical offices since follow-up calls can delay appointments or insurance processes.
Research says that having FCR rates above 85% can make patient retention almost 99%. On the other hand, if calls are not resolved or patients call again, satisfaction falls and costs go up. Training agents better, improving knowledge sources, and smart call routing can increase FCR.
This rate shows how many patients hang up before an agent answers. This usually happens because patients wait too long. High abandonment means there may not be enough staff or calls are not managed well. It causes patient frustration and loses business.
The target for Call Abandonment Rate is less than 5%. Healthcare call centers that cannot keep it low risk losing patient trust and getting bad reviews.
NPS measures how likely patients are to recommend the medical practice based on their recent experience. Patients are grouped as promoters, passives, or detractors.
Scores over 70% show strong patient support, which helps a practice grow. NPS gives a longer-term view of patient satisfaction, beyond just one call.
CES checks how easy it was for patients to solve their problems during the call. Lower CES means patients had less trouble making appointments, refilling prescriptions, or handling insurance questions.
Making the process easier by simplifying front-office steps and letting agents solve issues without transfers helps build loyalty and reduces repeated calls.
AHT measures the average time spent on a call. This includes talking, hold time, and after-call work. It is important to balance being quick with giving good patient care.
Shorter AHT lowers costs and lets agents help more patients. But if AHT is too short, service may feel rushed or incomplete. Medical centers try to find the right AHT that keeps quality high and delays low. AI tools have helped reduce AHT by 20% in some health insurer centers.
ASA shows the average time patients wait before an agent answers their call. The goal is to answer 80% of calls within 20 seconds to stop long waiting and hang-ups.
Keeping ASA low is very important in healthcare, since patients may have urgent or complex questions. Tracking ASA helps plan work schedules and resources to handle busy times.
Schedule Adherence shows if agents stick to their planned work times. Occupancy Rate shows how much time agents spend actively on calls versus being idle.
Healthcare call centers aim for adherence above 95% and occupancy between 85% and 90%. This helps agents work well without getting too tired. High engagement also improves service quality.
ACW is the time agents spend doing tasks after the call, like writing notes or scheduling follow-ups. Too much ACW lowers agent availability and makes patients wait longer.
Automation with AI has cut ACW by up to 80%, letting agents take more calls. Transfer Rate shows calls passed to other agents or departments. It should stay under 10%, since too many transfers upset patients and hurt problem-solving. Low transfers often mean good training and support tools.
Cost Per Contact measures how much it costs to handle each call. This includes salaries, equipment, and technology. In U.S. healthcare, costs range from about $2.70 to $5.60 per call.
Lowering costs without hurting patient service is important to keep medical practices running well, especially smaller ones.
Watching call volume by day, week, and season helps predict how many staff are needed and how to use resources. Predictive tools can forecast busy times for better scheduling.
About 60% of customer service leaders see call volumes growing, which also happens in healthcare. Managing call volume well stops understaffing during busy hours, lowering wait times and hang-ups.
Service Level measures the percentage of calls answered within a set time, usually 20 seconds. High service levels improve patient views and lower hang-ups.
In healthcare, answering 80% of calls within 20 seconds is a usual goal to keep good care and fast responses.
Healthcare call centers use more AI and automation now to improve all KPI areas. AI changes usual workflows and helps agents work better, leading to faster service and happier patients.
AI virtual agents manage simple questions like scheduling, insurance, and prescription refills without needing a human. This lets agents focus on harder or sensitive issues.
Health insurers using tools like U-Assist saw big improvements, such as an 80% cut in after-call work and 20% less average handle time. These savings added up to millions of dollars while patient service got better.
AI tools help agents during calls by giving real-time tips and showing important info. For example, AI can display patient history, articles, or next actions to fix problems faster.
Platforms like Five9 and Observe.AI listen to calls live, detect patient mood, and help agents respond kindly. This raises First Contact Resolution and lowers transfers and escalations.
AI checks all calls automatically, removing bias and speeding up feedback. Machine learning keeps improving speech analysis and KPI tracking like CSAT, FCR, and AHT.
Advanced analytics combine data from CRMs, recordings, and surveys to give a full view of performance. Predictive tools forecast call amounts and patient needs, helping plan staff ahead of time.
Studies show that mixing AI with skilled agents raises agent satisfaction by 69%. Happier agents usually provide better service and stay longer. Healthcare has high agent turnover, from 30% to 40%, and AI support helps keep offices running well.
Also, about 80% of U.S. consumers want fast, easy, knowledgeable, and friendly service—all things AI call centers can improve.
By knowing and tracking these KPIs carefully, medical practices in the U.S. can improve front-office phone work, lower costs, and most importantly, give better service to patients. Using AI and automation helps agents by giving live information and handling repetitive tasks. Medical practice leaders who focus on measuring performance and using technology will be ready to meet growing patient expectations and run operations better.
Call center KPIs are metrics used to assess productivity, service quality, and efficiency in contact centers. They provide actionable insights into customer satisfaction, agent performance, and operational effectiveness.
Call center KPIs fall into three categories: Customer Service KPIs (measuring service quality), Agent Productivity KPIs (assessing individual agent performance), and Operational & Financial KPIs (evaluating cost efficiency and business impact).
CSAT measures customer satisfaction with service, typically gathered through surveys. It indicates whether a contact center meets or exceeds customer expectations.
AHT measures the average time taken to handle a transaction, including talk time, hold time, and after-call work. It’s essential for balancing efficiency and customer experience.
FCR gauges an agent’s ability to resolve customer issues during the first interaction. High FCR rates are linked to increased customer satisfaction and reduced churn.
The Call Abandonment Rate reflects the percentage of inbound calls where customers hang up before speaking with an agent, typically due to long wait times.
Call Volume Trends analyze fluctuations in inbound calls, allowing organizations to optimize staffing levels and self-service options effectively.
Cost Per Contact is the total cost incurred by handling a single call, encompassing labor and infrastructure expenses, critical for evaluating operational efficiency.
AI enhances call center KPIs by providing real-time guidance, automating tasks, and optimizing workflows, leading to improved metrics like FCR and reduced AHT.
The health insurer achieved an 80% reduction in after-call work, a 20% decrease in AHT, and $6M in annual cost savings, demonstrating AI’s impact on operational efficiency.