AdentI · Ana Mangotić Rajković

THE CHALLENGE

Context & Problem

AdentI is AI software for voice recognition that writes the patient record automatically, in the role of a dental assistant. The concept explores how that assistance can support clinical and administrative work without obscuring information, undermining human judgment, or adding friction to sensitive workflows.

Exploring Hierarchy & Navigation

The interface balances dense clinical information with clear task priorities. These views highlight how hierarchy, navigation, and information disclosure adapt across contexts.

Navigation and patient information

A persistent sidebar and patient table adapt into compact navigation and individual patient cards on mobile.

ADENTI desktop patient list with a persistent sidebar and a table of patient records

ADENTI mobile patient list with a menu button, search, and individual patient cards

Entry-screen hierarchy

Branding and introductory copy frame the desktop entry experience, while the mobile layout brings the sign-in task forward.

ADENTI desktop sign-in screen with branding and introductory copy beside the login form

MOBILE

Progressive disclosure

Collapsible sections provide a compact record overview while keeping detailed clinical information accessible.

ADENTI dental record with collapsed sections for general data, the chart, the exam, and appointment history

ADENTI dental record with a section expanded to show patient details and the dental chart

MY CONTRIBUTION

Approach & Ownership

I independently defined the concept and scope, structured information architecture and workflows, and designed the interface and interaction patterns from initial framing to a cohesive design concept.

Clinical editing

The clinical editing view combines visual tooth status, tooth-level notes, and explicit save and cancel actions.

ADENTI dental chart edit mode with tooth status, notes for individual teeth, and save and cancel actions

Reusable foundations

Reusable interface foundations establish consistent typography, controls, navigation, and feedback states.

ADENTI style guide crop showing the Roboto Condensed type scale for titles, buttons, and body text

ADENTI style guide crop showing input fields in default, hover, selected, disabled, success, and error states

ADENTI style guide crop showing primary, secondary, and tertiary buttons across default, hover, and selected states

ADENTI style guide crop showing the dark sidebar in expanded and compact navigation states

Scheduling workflow

The scheduling flow covers both selecting an existing patient and entering a new patient’s details within the appointment task.

ADENTI appointment form filled with an existing patient's name, dentist, time, and reason for the visit

ADENTI mobile appointment form with an embedded section for entering a new patient's name, phone, and email

KEY DECISIONS

Strategic Choices

01
Voice recognition writes the patient record automatically; the dentist keeps decision authority.
02
Transparency: distinguish AI suggestions from clinical data and decisions.
03
Calm, predictable patterns: make feedback, confidence cues, and next steps understandable.

OUTCOME

Results & Evidence

A cohesive concept for an AI dental assistant: voice recognition that writes the patient record automatically, with the dentist still in control of the clinical decision. This is a side project, not evidence of clinical validation, deployment, or measured healthcare outcomes.

LEADERSHIP LENS

What This Demonstrates

Highlights product framing, responsible interaction design, and independent ownership in a high-stakes domain.