Bright Forensics

An AI-based SaaS solution designed to help forensic doctors efficiently solve identification cases using dental images

Client

Bright Forensics

Product

B2B SaaS

Done at

Contractor

My Role

Branding, UX,UI

Background

Forensic odontologists, also known as forensic dentists, are often called upon to identify human remains when face recognition, fingerprints, or other methods fail.
This project is a SaaS software solution designed to assist forensic doctors in solving identification cases more efficiently. The software, which features a dark interface suited for low-light environments, integrates advanced AI technology and efficient workflows which aims to reduce the average case resolution time, thereby enhancing overall productivity and accuracy in forensic investigations.

What Does 'Solving a Case' Mean?

Solving a forensics case using dental images involves matching dental records of a person taken before death (antemortem) with those taken after death (postmortem) to establish their identity. This process is crucial in identifying unknown remains, as dental structures are unique to each individual and often remain intact even in severe conditions. By comparing features such as tooth structure, fillings, and other dental work, forensic experts can confirm that the profiles match and conclude that they belong to the same person.

The Problem

The current forensics case identification process is time-consuming and inefficient. Outdated technology and the use of multiple software programs complicate the workflow for forensic experts. Strict bureaucratic procedures and limited staffing also contribute to delays. Together, these issues hinder the timely and accurate identification of bodies.

Inefficient Processes and Outdated Technology Delay Forensic Case Identifications

Bureaucracy

Strict procedures must be followed to legally confirm an identification; it’s not enough to simply declare a match.

Outdated Technology

Relying on outdated technology which making the identification process more challenging.

Old Work Methods

Using multiple software programs, complicating the identification process and reducing efficiency.

Lack of Manpower

Limited staffing results in fewer experts, causing delays and increased workloads

Hypothesis

Improving Case Management Efficiency Should Lead to Faster Case Resolution

Enhancing case management efficiency is expected to expedite case resolution. Currently, users spend an average of 4 hours to solve a case once they have all the necessary information. By implementing a more intuitive and coherent process, we anticipate reducing this time frame significantly.

Main KPI's

Average Case Resolution Time

Current Average Resolution Time

4 Hours

User Interviews

In order to better understand the forensic workflow we've scheduled a few one hour zoom interviews with 5 potential users (professionals in the forensics field) where we asked them to walk us through their work process and allowed us to ask important questions regarding their pain points.

Task Analysis

After the user interviews in order to gain a comprehensive understanding of the tasks involved in identifying a case, we conducted a UX task analysis. This analysis mapped out each step that forensic experts undertake, from initial data collection to final identification. By identifying pain points and inefficiencies in the current workflow, we can design a more intuitive and user-friendly solution that addresses these challenges, ultimately improving case resolution times.

User Flow

After understanding core user tasks, we've built a user flow for the MVP version, outlining step-by-step goals and actions users need to take to solve a case quicker. This structured approach ensures that each task is optimized for efficiency, helping forensic experts navigate the identification process more smoothly and effectively.

1. Open New Case
2. Insert data and at least one image to the AM Profile
3. Insert data and at least one image to the PM Profile
4. Compare images using the light table

Usability Testing

For the usability testing phase, we tested our MVP flow using basic wireframes to gather user feedback before advancing with the design. This preliminary testing allowed us to identify potential issues and make informed adjustments, ensuring the final product would meet the needs of our users as effectively as possible.

Turning Insights Into Actionable Design Solutions

Flexible Navigation

We learned that users prefer the freedom to navigate through the system rather than following a strict wizard. This allows them to manage cases in a non-linear fashion, catering to individual workflows and preferences.

Simplified Interface

A simplified, intuitive interface reduces cognitive load and improves efficiency. We will focus on minimizing clutter and presenting information in a clear, concise manner.

Light Table Expandable Workspace

User feedback highlighted the necessity for an expandable workspace within the Light Table feature. This addition allows users to customize their workspace, accommodating varying image sizes and complexities, ultimately enhancing usability and efficiency.

Dark Interface

Since our users operate in low-light radiological environments, we prioritized dark mode for our software interfaces. This choice reduces eye strain, enhances visibility, and minimizes glare, allowing users to work more comfortably and efficiently.

The Design

Focusing on efficiency & simplicity.

Homepage - All Cases

Allowing users easy access to specific sections within each case. This includes the ability to quickly add new images or information as they become available.

Create New Case

Flow's starting point, opening a new identification case

Case Overview

User enters case management screen for the new case opened

AM (Ante Mortem, Before Death) Profile

Here users enter all necessary details for the pre-death person's profile and uploads available dental images of that person before they died

Add Image

Image upload screen contains mandatory meta-data that is used for an optimal image coding and later coding comparison

Edit Coding

When an image is uploaded, an AI engine performs dental coding for the specific image. Users can edit the coding if there are any errors, and modify each tooth's coding using a dental forensics coding database

PM (Post Mortem, Post Death) Profile

Here users enter all necessary details for the post-death person's profile and uploads available dental images of that person after they died

The Light Table

Users can compare image codings more comfortably and quickly here, with colors following forensic conventions for AM and PM profiles. The workspace includes an expanded view option, providing a larger area for detailed examination of each image

Case Resolved

After comparing image codings, users can return to the overview screen and update the case's identification status. They can mark it as a match, indicating the body has been identified, or as a mismatch, indicating the pre-death and post-death images do not belong to the same person

Design System

Establishing an initial design system for the MVP version was paramount, laying a solid foundation for future scalability and expansion. By defining consistent design patterns, components, and guidelines early on, we ensured coherence and efficiency throughout the development process. This approach not only facilitated the rapid iteration and refinement of features but also set the stage for seamless integration of new functionalities as the platform grows.

Reflection

In conclusion, our journey to develop a SaaS solution for forensic identification has been guided by user-centric principles, iterative testing, and a commitment to innovation. Through comprehensive user research, task analysis, and usability testing, we gained invaluable insights that shaped the development of our MVP. By prioritizing flexibility, efficiency, and usability, we've laid the groundwork for a scalable platform that empowers forensic experts to solve cases faster and more accurately. Looking ahead, we remain dedicated to continuous improvement, collaboration, and meeting the evolving needs of our users.