Capture a wealth of information from your patients’ interactions, automatically and
in real time, to improve operational efficiencies and data-driven business decisions.
ROI isn’t only generated from the millions of
conversations you are automating per year.
Conversational AI analytics can drive key business
outcomes throughout your organization, and Hyro
enables you to access, analyze and act upon them.
No more siloed reporting. Hyro empowers operations, IT, and patient engagement teams to
aggregate and act on conversational data across all communication channels within one platform,
improving operational efficiencies with easy and intuitive feedback loops.
Turn patient inquiries into a powerful advantage. Gain real-time insights into what patients are searching for and identify emerging trends—empowering your organization to address patient needs proactively, both before and after they arise.
Optimize your digital channels and call center operations using accurate data from AI-driven conversations. Increase revenue, sharpen automation, and reduce support and operating costs.
Remove the guesswork behind patient journeys, channel engagement and user behavior – harness real-time feedback to ensure ever-improving patient experiences.
Execute the best digital strategies with clear reporting and KPIs. Inform business decisions and outcomes using patient word-of-mouth through easily shareable analytics.
Track the ROI of your AI assistants with conversion rates, breakdowns of CTAs and goals completed, satisfaction scores, and customized reports featuring engagement metrics, such as the percentage of callers who continued the conversation.
Sanitize your health system’s data with automated knowledge management. Uncover missing content and information to swiftly update and rectify while doubling down on most requested services through top trending specialties, physicians, and call drivers.
Access rich conversational data, 24/7, including call recordings and chat logs. With deep filters, including keyword, utterance, and timeframe, you can stop manually digging through scripts to find the data you’re looking for – and easily unpack conversations for real ‘voice of the patient’ analytics that ensure explainability.
Get a pulse on how your assistants are performing with natural language understanding (NLU) metrics, such as understanding rate and error rate. Actionable NLU analytics enable full transparency into your AI assistants’ quality and functionality, so that steps can be taken to quickly improve outputs.
Gain insights that help turn prospects into customers
Analyze 100% of inbound calls to improve operational efficiencies
Provide executives with game-changing data around critical use cases
Increase in Goal
Completion Rate
(GCR)*
Of All Calls
Deflected to SMS
Success Rate for
MyChart Password
Reset
Using conversational AI platforms, organizations can gain extensive customer engagement analytics. For example, Hyro’s adaptive communications platform collects customer data at scale through voice and chat AI and aggregates it for customer service and interaction teams. Enterprise decision-makers can analyze customer behavioral patterns, discover weaknesses in digital customer journeys, address common or frequent issues in real time, and drill down into specific, recorded conversations.
Organizations can use conversational analytics to measure a wealth of metrics that help decision-making across marketing, sales, customer service, and executive branches. Data analysis from conversations with AI assistants and call centers can highlight metrics such as conversion rates, satisfaction scores (like NPS and CSAT), drop-off points, and more. Advanced ROI and cost savings calculations can be based on these metrics, allowing teams to become more data-driven.
Call center analytics can be derived from the collection and aggregation of incoming calls. With call center software for automation and analytics, companies can gather recordings and transcripts of calls (using natural language processing) and break down conversations based on their own KPIs. For example, the analysis of call center interactions can focus on types of questions and knowledge that feature heavily in calls to identify current knowledge gaps. In addition, call center analysis can focus on the sentiment of conversations (whether they’re negative or positive) to determine customer satisfaction.
Yes. While Hyro provides end-to-end analytics of interactions using our AI assistants or call center automation solution, you can also connect other analysis tools your organization uses into Hyro’s dashboard to get a complete picture of your business interactions. Integrations may include measurement tools for websites, mobile apps, email, SMS, and first-party data analytics such as CRM-based reports.
