Ortal Lampert UX/UI

Medint onboarding

Role: UX/UI

Overview

Medint has developed a unique algorithm-base technology with the purpose of helping patients with rare/complicated conditions to get all the relevant information for their special case, so they will be able to make better medical decisios. Medint also employs researchers and a research coordinator to deliver the information analysis for the patients.

In this project we wanted to help patients with filling out their initial form, mainly by making it less tedious, and more informative.

Target users

Patients who need to make a life changing medical decision regarding their course of treatment.They may be either sick with rare conditions or orphan diseases, which they know very little about. They are looking for information which is not easy to find

Michael & Shva

- Their boy has a very rare complex medical situation with no diagnosis.
- They spent a lot of money on a surgery which improved, but didn’t solve the problem. The physicians have no lead.
- He’s 100% dependable and can’t be left alone at any given time.

Adam

- 40 years old. Has been diagnosed with Crohn’s disease at the age of 17.
- Wants to know how to better manage his disease to improve his quality of life and avoid unnecessary surgeries.
- Had endured as many as 20 different operations

Secondary target: Researchers

Each patients that submit his case is assigned to a researcher who will guide through the process of generating the case report. The researchers conduct an introductory call with the patient to gather information and to match expectations from the research.

- Responsible for information gathering for the case
- Analyzes the information and research databases in order to find the best possible treatment
- Follows up with the patient after the report was submitted
- Q&A with the patient

The challenge

Form complexity causing a high churn rate

The case submission form was long, complex, and mostly included open questions (which weren’t intuitive to users).

With taking into consideration the mental state of the patients when they need to fill in the form, we wanted to reduce the cognitive overload of the patient.

Some processes within the research should be automated

Having a more structured information will improve the platform’s machine-learning ability.

This will help the patients with a more accurate report, and to do so, the onboarding form should be improved to support the technology requirements.

The solution

Patients onboarding form

Patient only fill necessary information

Necessary information which wasn’t required to be filled by the patient, was moved to the researcher’s in the case’s detail form.

Patients should get as much assistance as possible

Parameters with already known answers were automatically presented to the patient.

This also benefited the machine-learning’s ability: we focused on 3 main diseases and the form fields were populated according to previous answers.

Helping patients with orientation

The form was broken into smaller chunks, with a left navigation panel for better orientation and represented as steps. This also helped the patients know how far they have progressed with the onboarding process.

Researchers case details form

Researcher fills in more information

Most of the time researchers need to add more information on top of what the patients filled in, so we removed these fields from the patients form and moved them to the researchers form.

Making sure researchers won’t skip steps

To make sure the researcher won’t skip the initial information gathering voice call, the first view of the case details was locked in an edit view until the case was filled in, and only then the researcher was able to move forward with the case.

Helping researcher with orientation

- Upper part – presents the patients answers which the researcher can’t edit.

- Bottom part – contains the fields that require the researcher to fill in. In order to make this easier for the researcher, known information was automatically populated.

Expand and collapse