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A case study redesigning website for PRIDEnet - the volunteer and community engagement sector of the PRIDE study.
A global healthcare company that develops and markets a wide range of pharmaceutical products across various therapeutic areas. With a primary focus on Neuroscience, Nephrology and Digital Innovation Products, the company places a strong emphasis on research and development to create innovative and impactful healthcare solutions.
6 months
Product Manager
Developers (15)
Designers (4)
Data Scientist
A case study redesigning website for PRIDEnet - the volunteer and community engagement sector of the PRIDE study.
During clinical trials for anxiety and depression treatments, patients and healthcare professionals often struggle with inefficient communication and data tracking. Patients need an intuitive way to log symptoms and side effects, while medical professionals require real-time insights to make informed decisions. This project aimed to design a seamless mobile app for patients and a tablet dashboard for healthcare providers, bridging these gaps and improving clinical trial outcomes.
An optimization system for the Data and Analytics Team at Otsuka to track their development Operations activities
The client is a global pharmaceutical company that is committed to developing new treatments in neuroscience like schizophrenia and major depressive disorder (MDD), bipolar disorder, and other neurological and neuropsychiatric conditions, including Alzheimer disease, epilepsy, attention deficit hyperactive disorder, posttraumatic stress disorder, borderline personality disorder, and autism.
Develop a robust data optimization framework for the Data and Analytics Team at Otsuka to standardize their Dashboards and make them more accessible.
Project Manager , Developers (15) Scrum Master, Business Analyst, Data Scientist, Data Tech and Analytic Solution (DTAS) Team,
Global Intelligence Team(GCI)
Patients:
Struggled to track symptoms consistently, report side effects accurately, and communicate effectively with healthcare providers.
Medical Professionals:
Faced challenges in accessing real-time patient data, monitoring symptoms over time, and ensuring medication adherence.
A case study redesigning website for PRIDEnet - the volunteer and community engagement sector of the PRIDE study.
We conducted surveys and in-depth interviews over 2+ months too understand and decode problems and user needs with patients participating in clinical trials, alongside repeated consultations with healthcare providers.
Key Findings:
Patients: Needed a guided, hassle-free way to log symptoms daily with minimal cognitive load.
They were highly concerned about data privacy.
Healthcare Providers: Required efficient tools to monitor multiple patients, quickly assess symptom trends, and flag anomalies.
With the quantity of data we were dealing with, it was important to get a perspective from the executive team as well as the global Intelligence team that was reponsible for execution. We had to understand individual pain points and how people navigated with the system to find what they wanted.
We spent over two weeks with the team to understand the functionality and what the team hoped to achieve. The major aspects of what I learnt were:
• The volume of dashboards being built on a monthly basis
• Following an agile method, each dashboard had multiple version at different stages of development
• Multiple developers worked on each dashboard, leaving behind multiple versions of each
• Most of the reporting tools were all built by outsourced contractors, so there was no proper handoff and takeover from anyone within Otsuka
• There were no long standing developers, so there was no accountability for maintenance after development
Information Architecture
Mapped user journeys to identify major pain points and opportunities for streamlined interaction.
The goal was to minimize friction in symptom logging for patients and optimize workflow efficiency for medical professionals.
Wireframing & Prototyping
Created low-fidelity wireframes in Figma, focusing on core functionality and usability.
Conducted usability testing with stakeholders, refining wireframes based on feedback.
Developed high-fidelity prototypes for patient and provider interfaces, emphasizing clarity and accessibility.
Otsuka was establishing the Data Tech team that would take over these tasks. To be able to design system that laid the foundation at the start, I had to understand the complex workflows of the multiple user types and their interactions with one another needed. In order to achieve that, I gathered as much as I could from the end users to understand the challenges they faced and how we could make a difference in optimizing pain areas.
Countless workshops with the team helped us decipher all the touchpoint they needed to be connected in this system.
We wanted to do away with the multiple manual tasks and proposed a solution to automate the entire process.
Building transparency for patients.
Better clinical decision-making through real-time analytics and visual insights.
Improved medication adherence via automated tracking and reminders.
40%
Increase in patient engagement through simplified symptom logging.
25%
25% faster response time from healthcare providers to critical cases.
During clinical trials patients often struggle with dealing with their symptoms during the entire process. Since it's research based, there is a lot of uncertainty among them. To help ease this, we came up with the concept of an Ai chatbot that would communicate and help patients deal with their physical and mental symptoms. Here's a glimpse into everything we want to do.
Otsuka planned to develop a conversational AI that would help battle the uncertainties and fluctuations of symptoms physically and emotionally during the clinical process. While the chatbot helps people vent out their frustrations, it will also be equipped with exercises and other techniques to combat these issues. Below are some examples from a newly developed app called Rejoyn by Otsuka precision health. Rejoyn currently uses brain training exercises to help enhance cognitive control of emotion for people with depression.
We plan to develop something very similar for these patients as well.
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