Mediktor

Что такое Mediktor?

Mediktor is a white-label AI healthcare assistance platform for insurers, healthcare providers, pharmaceutical companies, and public health organizations. Its conversational symptom assessment helps users understand possible causes of their symptoms, assess care urgency, and move toward an appropriate healthcare service.

Organizations can embed Mediktor into their digital care journeys and configure recommendations around their own services and care pathways. The platform combines supervised machine learning with natural language processing, developed in collaboration with healthcare professionals, to support patient guidance and care coordination.

Что умеет Mediktor?

Natural-language symptom input

Users can describe multiple symptoms in their own words and in multiple languages. Mediktor's NLP uses a database of 45,000 synonyms to interpret input, including misspellings and everyday language.

Probabilistic symptom assessment

Supervised algorithms use Bayesian networks to evaluate symptoms, signs, and risk factors, supporting assessments of possible conditions and the urgency of care.

Configurable care recommendations

Organizations can define recommended services, recommendation text, and final assessment screens to match their care pathways.

Brand and interface customization

Embed the chatbot into existing platforms and customize its design, colors, and typography. The interface supports smartphones, tablets, and laptops.

Selectable assistance options

Organizations can enable or disable options such as avatars, dictionaries, and self-care recommendations to configure the patient experience.

Authentication and data exchange

Implementation supports decisions about registered or anonymous users, user traceability, and the information exchanged and synchronized between systems.

Варианты использования

“Insurer member navigation”

Help members move from initial symptom questions to relevant services within an insurer's care network, supporting decisions about when and where to seek care.

“Patient preparation for consultations”

Use symptom assessment before a digital consultation. In DKV's described deployment, assessment results are available to doctors during the visit.

“Pharmaceutical patient engagement”

Support programs aimed at identifying potentially undiagnosed or misdiagnosed patients and encouraging treatment adherence through an AI follow-up assistant.

“Public health patient flow”

Support public health organizations managing rising demand by guiding users through care pathways and helping teams coordinate patient flow.

Часто задаваемые вопросы

What does implementation involve?

Mediktor describes three stages: customization to the organization's needs, integration into its care flow, and improvements after launch based on feedback and data. The company states that its white-label SaaS can be running in less than four weeks.

Do patients need to know medical terminology?

No. Users can enter symptoms in everyday language, include more than one symptom, and make spelling mistakes. The natural language processing system interprets the initial description.

What does a symptom assessment return?

Customer deployments describe guidance on possible conditions, care urgency, and the appropriate healthcare professional or service. Organizations configure the recommendation text and final screen content for their care pathways.