The healthcare industry has steadily advanced its use of technology, but certain weighted challenges now require more immediate, focused innovation. Paper-based faxing, mail-based billing and voicemail are prime examples — areas where the business case for technology-enabled processes is both clear and compelling.
Voicemail has become a significant barrier to patient access with patients actively avoiding it. Studies show that 80% of them will not leave a message, often resulting in missed scheduling opportunities or delays in receiving care.
Voicemail was once primarily associated with after-hours access, but rising demand is increasingly exposing patients to the same experience during business hours. Long wait times and unanswered calls are becoming the norm, and projections suggest that this trend will only get worse in 2026 and beyond.
For providers prioritizing meeting patients where they are — whether scheduling an appointment from home at 8pm.on a Friday or rescheduling it on Sunday — simplifying access and reducing phone-based friction has become essential to standing apart in the coming year.
The good news is that we’re ushering in a new wave of agentic AI designed to meet this challenge head-on — essentially eliminating the need for voicemail. Beyond simply recording or transcribing messages to lower call volumes, truly autonomous voice AI puts patients in the driver’s seat of their own healthcare. It processes patient requests and information immediately and integrates actionable insights into the EHR, speeding next steps for clinicians and patients.
The success of any voice AI solution, however, depends on a thoughtful strategy — one that considers the following three steps for achieving intelligent, patient-driven access.
1. Identify clinical workflows where voice AI can assist
Voice AI is great at deflecting and rerouting calls, but advances in the technology are also driving better clinician workflows.
Today’s voice AI solutions are capable of authenticating patients, collecting structured details and creating notes directly within the EHR workflow for clinical teams to review. This removes voicemail from the process and ensures requests are captured consistently and routed appropriately.
Common clinical requests that AI can support include:
- Handling prescription requests
- Answering visit, medication use, and follow-up questions
- Supporting medical record requests
- Automating clinical team callbacks
2. Identify low-complexity, routine calls
Many provider organizations will find that a sizable portion of their calls are routine scheduling requests, whether setting up a new visit, rescheduling or confirming an existing appointment. With the right voice AI and self-scheduling solution in place, these low-complexity calls can be routed outside of the front office or healthcare call centers to be handled directly by the patient — an option preferred by most.
Providers will first want to identify appropriate segments by percentage. For example, a provider might analyze their inbound calls and uncover that one in three calls is to reschedule an appointment, while another 20% is to confirm an appointment—both predictable in nature and appropriate for a technology-enabled response. In contrast, patients calling with questions about billing statements, insurance or available financial assistance require more complex, human-to-human interaction and should be automatically routed to the correct department.
3. Design strategies to deflect high-volume, low-complexity calls
After identifying lower-complexity calls, providers can deploy voice AI capabilities to deflect routine interactions. and better optimize administrative capacity. With the right design in place, call centers have achieved as much as a 40% reduction in call volume, while maintaining patient satisfaction and provider utilization.
Consider the following scenario. An existing patient calls to schedule a new appointment and is greeted by the conversational voice AI. The system verifies the patient and presents available scheduling options. Rather than being placed on hold or routed to voicemail, the patient is given the choice to schedule an appointment with the voice AI or receive a smart link via text to book at their convenience. In either case, the call appointment is confirmed without staff intervention.
Not only does this strategy appeal to patients who would otherwise be frustrated and hang up when placed on hold or sent to voicemail, the application of situational intelligence allows the AI tools to take these interactions further.
For example, intelligent access recognizes a patient’s preferences for early morning appointments and aligns that preference with a physician who offers 7 a.m. availability.
Similarly, in practices that include a mix of concierge physicians and providers who accept various forms of insurance, intelligent access accounts for those distinctions upfront–guiding patients to appropriate options and resulting in a satisfied patient and an accurately scheduled appointment.
Simplifying 24/7 access
Voice AI has made tremendous strides in recent years. Computer-generated voices from the early days of voice technology have given way to near human-like communication experiences.
As patients are accustomed to using voice technology across other industries in their daily lives, there is significant opportunity to bring voice AI into intelligent access models in healthcare. Doing so benefits all stakeholders: patient access and experience improve, while healthcare organizations gain more streamlined operations and stronger patient loyalty.
Photo: yongyuan, Getty Images
David Dyke is Chief Product Officer at Relatient. He has over 25 years of product, R&D and commercial experience across many healthcare verticals, including patient access, revenue cycle, clinical research & health information management. David is passionate about helping healthcare organizations achieve their full potential while positively impacting the lives of people in their communities.
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