Call center representative using Switchboard, MD's automated Call Center solution

Contact Center

Tech-enabled agent performance to unify the patient experience.

Contact centers have seen a drastic increase in call volumes, staffing shortages, and hard to navigate communication channels—resulting in inconsistent patient experiences across the healthcare delivery model.

We bring automation to the manual process steps of contact center operations through tech-enabled user experiences with features that unify the patient experience for calls by introducing a new work style for agents. This allows your team to focus more on the patient conversation, and less on repetitive tasks.

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Signature Issues

Our Impact: Georgia Eye Partners Achieves 52% Patient Sentiment Boost Case Study

Patient Experience: 73% of patients expect organizations to understand their unique needs

Workforce Challenges: 20% of labor costs attributed to voluntary turnover due to burnout

Increased Cost: 7.7% reduced operating expenses in internal, centralized healthcare call centers

Salesforce. Salesforce Report: Nearly 90% Of Buyers Say Experience a Company Provides Matters as Much as Products or Services. Salesforce News. Published May 10, 2022. https://www.salesforce.com/news/stories/customer-engagement-research/
Gallup. Employees Need High Wellbeing for High Performance. Gallup.com. Published 2019. https://www.gallup.com/workplace/215924/well-being.aspx
Kappa SF, McClain C, Wallace K, et al. Implementation of a Centralized, Cost-effective Call Center in a Large Urology Community Practice. Rev Urol. 2020;22(2):67-74.

Key Features

Retrieval Augmented Generation (RAG) icon

IVR Prompts for Scheduling

Amplify staff capacity using intelligent IVR prompts to capture the reason for the call and automatically instruct the agent what type of appointment to schedule before the live call is transferred to them.

Live Transcription

Capture every detail of conversations with advanced voice-to-text technology, providing auto-generated transcripts for your team to analyze, understand, and enhance communication effectiveness.

EMR Medical Record Matching

Improve call handling by extracting the patient’s name and date of birth from the live call and then querying the medical record to see if there is an existing patient record match.

Call Summarization

Automatically transform full-length patient conversations into concise, yet detailed, summaries that are promptly delivered to agents and providers for more streamlined operations.

Classification & Sentiment Analysis

Use large language models (LLMs) to analyze patient-agent conversations that evaluate sentiment analysis and detect patterns to classify and predict high-risk medical events.

Real-Time Message Routing

Prevent agent overload by optimizing communication speed, automating post-call redundant work, and using real-time message routing to the appropriate care team resource.

Elevating Experience

Route of access points within health systems: Patient portal, virtual care, agent, clinic and hospital, referral, claim, payment

Patients expect a consistent experience across all access points within a health system.

The demand for exceptional patient experience must be enabled by real-time integration of advanced technology.

Current Workflow State

In this workflow, the contact center representative is responsible for manually completing 4 steps within the 6 step process prior to a clinician reviewing the routed inbasket message.

Current state: 1) Patient initiates call 2) Representative fields inbound phone call 3) Conversation documented in EMR 4) Inbasket message manually created 5) Inbasket message sent to nurse pool 6) Clinician reviews message

Future Workflow State

Deploying our solution automates the manual process steps being performed by the contact center representative, allowing your team to intently focus on the patient conversation.

Future state: 1) Patient initiates call 2) Representative fields phone call 3) SBMD transcribes & converts voice to text 4) SBMD analyzes conversation 5) SBMD routes message to correct destination based on model prediction 6) Clinician review