Artificial intelligence and voice technology are transforming patients’ digital front door

Predicting readmissions:

AI-focused voice tech makes sense of patient-reported data to identify readmission risks

As patients recover at home, interactive follow-up calls use proven patient engagement approaches to help them report vital signs, pain or discomfort, abnormal conditions like swelling and their adherence to medications. AI modeling uses patient answers to intelligently identify high-risk responses flagging them for clinicians for at-home intervention or at risk for readmission.

Adding voice to the digital front door:

Thinking about patient interactions beyond the screen challenges new and continuous interactions.

Before and after appointments, tests or procedures, recovering at home, or just trying to stay healthy, consumers turn to a digital front door to manage these care events. How do we add dimension to this gateway? Voice technology, honed by AI, can serve as an empathic care team member dramatically enriching patient interactions and improving the level of self-reporting.

Expanding the reach of care teams:

Voice tech empowers “rising-risk” patients to self-manage

Care teams are stretched to the limit caring for high risk patients. To better scale the allocation of limited resources, voice tech with AI can reach out to “rising risk” patients (18-20% of patients), asking qualifying health status questions and personalizing voice-based coaching to help patients self-manage their condition. Patient responses can then aid care teams to prioritize patients with the most complex conditions.

The judgment-free zone:

The patient’s unlikely health confidante is… voice tech

When health-related discussions get uncomfortable or embarrassing, patients clam up or underreport. Health consumers are often more comfortable sharing information like weight or ability to pay for medicine with voice-based technology because it isn’t going to judge them. Voice tech eases sharing of stigmatizing or embarrassing information that can critically impact a patient’s recovery or condition management, like depression, medication adherence, social health determinants, financial situations, and more.