Enskill Resource Navigators ask open-ended questions to understand the patient's concerns, and where they are on their care journey. They ask follow-up questions as needed so that they can provide the most relevant information.

Enskill integrates with health systems' existing patient information websites and digital channels. Enskill tools are able to automatically extract metadata from health systems' YouTube channels and podcasts.

All user data is anonymized to protect patient privacy. Alelo privacy safeguards have been subjected to IRB (Institutional Review Board) review. Enskill complies with California digital privacy standards.

Users interact via a natural spoken-language interface, just as they would with a human being. Enskill's generative AI supports unscripted dialogue.

Enskill servers operate in the cloud, and are able to support many thousands of users around the world. Additional servers are added when needed.

We continually evaluate available large language models for performance and reliability, and can quickly upgrade to new models as they become available.

Enskill recommends only content that is approved by the health system. It engages patients in dialogue to understand their needs, and recommends content that is most relevant to their needs.

All interactions with the patient and logged and recorded. Session outcomes can inform subsequent sessions.

Enskill Virtual Patient Navigators personalize their recommendations based on the patient's condition and where they are on their care journey. Personalized content choices empower patients with information about treatment options, managing symptoms, and accelerating recovery.

Enskill supports patient authentication via Epic.

Data from devices and wearables is collected in real time and presented in the EHR and on the Codex provider dashboard to facilitate adherence to the provider recommended care plan.

Our products synthesize multiple information sources, and use powerful algorithms and AI to provide analytics and insights that apply all the way from population health to the individual patient.

Our platform is designed to support patients from all socio-economic and educational backgrounds. Patients will need a smartphone and have the ability to download an iPhone or Android app.

Our standard protocols for hypertension, diabetes and weight management have been developed by thought leaders in each space and thoughtfully guide patients as they make appropriate lifestyle and behavior modifications.

Data from devices and wearables seamlessly flows into the clients EHR to support the clinical decision making process.

Our client success and patient support teams are experts in this space and provide support that includes logistics, training, patient onboarding and technical support.

Our experienced certified educators meet with patients to set goals discuss there progress and challenges and to support lifestyle and behavior changes.

We leverage the latest industry standards to provide educational guidance to patients at a 5th grade reading level. Our patient application, called Allie, is user friendly, visual and designed to appeal to all patients regardless of age or socio-economic background.

Our provider customers have full visibility into our teams interactions with patients. This is provided in real time via Foresight, our provider facing solution.

Our clinicians leverage EHR data to better understand the patients condition and to provide clinical updates back to the patients primary provider.

Enskill has a spoken-language interface, so it is easily usable by low-literacy users.

Enskill supports conversation with patients in a variety of languages. The language models have been specifically trained for English, Spanish, Chinese, and Japanese, to name a few.

Users can interact via voice, or can enter text if preferred. Responsive design supports use on a wide range of devices.

Enskill uses large language models that have been tested against bias. Alelo conducts further testing to ensure that responses are not biased.

Enskill can automatically adapt its responses to users with limited English skills. It also can be configured to use languages other than English.