Heidi Health

The primary purposes include improving clinical documentation, aiding healthcare professionals in notetaking, and generating consult summaries. Heidi technology enables clinicians to focus on patients during the consultation, contributing to improved patient care. It also acts as a valuable tool for medical practitioners, saving them hours of administrative time per week.

Heidi works by transcribing speech into text from a healthcare encounter such as conversations between clinicians and patients or by clinicians dictating their clinical findings, impression and/or management plans before, during and after the healthcare encounter. The clinician can also add additional contextual notes about the healthcare encounter.

This system is designed to alleviate the administrative burden on healthcare professionals, allowing them to focus more on patient care rather than paperwork. The Heidi Scribe will leverage natural language processing (NLP), speech recognition technology, and machine learning algorithms to understand and interpret complex medical dialogue, identify key health information, and categorise data into the appropriate sections of an Electronic Health Record (EHR).

All Data that identifies you stays within the practice and its servers which are UK based, no identifiable data is used by the Heidi tool for machine learning.

Heidi AI will not make decisions about your care, it only transcribes verbal interactions with the practice, with your consent.