Work Collection

Pill.fit

Pill.fit

A Healthcare App for Improved Medication Adherence and Reduced Medical Errors.

A Healthcare App for Improved Medication Adherence and Reduced Medical Errors.

My role

User experience ,User research, Market research, Interaction design, Motion design, Creating design system.

Team

Bala Kumaran - Lead Product Designer

Yannis Elzyr - Lead Visual Designer

Ashiq - CTO

Dr Rakesh - CEO

Year

2023

Overview

Overview

In a landscape riddled with medication errors, pill.fit emerged as a beacon of hope. The goal was clear: design an app to reduce medical errors, with a special focus on the common issues of dosing errors, administration of incorrect medication, and transcription errors by providing users with a comprehensive set of features focused on medication review, medication management, and education.

Problem statement

Problem statement

Medical errors are a significant public health concern, with medication errors being a leading cause of preventable harm. Studies report that medication errors contribute to 5.2 million medical errors annually in India, highlighting the need for solutions to improve medication safety.

5.2 million medical errors

per year

5.2 million medical errors

per year

This staggering figure, based on a study in Delhi, suggests a significantly higher rate of medical errors compared to the US. (Source: National Center for Biotechnology Information, 2023)

This staggering figure, based on a study in Delhi, suggests a significantly higher rate of medical errors compared to the US. (Source: National Center for Biotechnology Information, 2023)

82 adverse drug events

per 1,000 prescriptions

This data from a Delhi-based study highlights the prevalence of medication-related problems in hospitals. (Source: National Center for Biotechnology Information, 2023)

22% errors

Incorrect dosage

Studies have shown that incorrect dosing intervals and dosages are common errors, contributing to 21.5% of errors.

26% to 15%

Drug-drug interactions

Studies from Uttarakhand and Karnataka report a high prevalence of drug-drug interaction errors, ranging from 25.7% to 15.34%.

13%

Transcription errors

Medication errors occurring during prescription writing or transfer are also prevalent in India, accounting for 12.7% of cases.

Target Audience

Target Audience

Pill.Fit targets individuals who take prescription medications. Primarily focused on Indian acute and chronic patients, including those with varying levels of technological proficiency.

This includes: Chronic disease patients, Older adults, Individuals with complex medication regimens

Empathise

Understanding Audience

Understanding Audience

Lacked understanding in customer wants, needs and expectations.

Current frustrations and pain points?

What did they really want?

What did they really need?

Dived into an intensive 2-week research sprint.

Dived into an intensive 2-week research sprint.

11+ user interviews

11+ user interviews

Investigated forums, reddit and FB groups

Mapped out a competitor and SWOT analysis

Insights from 11+ User Interviews

Insights from 11+ User Interviews

Users struggled to comprehend prescription implications.

Medication adherence was a significant concern, especially for chronic patients.

Desire for an app that simplifies medication management.

Users often struggle to understand their medication information and identify potential risks.

Remembering multiple medications and schedules can be challenging, leading to missed doses and non-adherence.

User Interview Top 5 Key Takeaways

Simplifying prescription understanding is a priority.

Personalized reminders positively impact adherence.

Lack of awareness about drug interactions is a significant gap.

Trust in the app's accuracy is crucial for adoption.

Users desire a seamless transition between prescription review and medication management.

Conceptualise

Overwhelmed with insights

Overwhelmed with insights

I needed to start prioritizing to form a strategy.

Understand key painpoints, wants and needs

Classify all insights gathered

Present my synthesis to stakeholders

Top 5 Interesting Takeaways from the SWOT Analysis

1

Comprehensive Medication Review as a Strength

The in-depth analysis of dosage, drug interactions, appropriateness, and adverse reactions emerges as a significant strength for pill.fit. This feature positions the app as a valuable resource for users seeking a detailed understanding of their prescriptions and potential risks.

2

Integration Challenges as a Weakness

The dependence on user input for prescription details highlights a potential weakness. Exploring seamless integration with healthcare systems or EHRs could alleviate this challenge, ensuring accuracy and reducing user effort.

3

Partnerships for Credibility and Growth

The opportunity to establish partnerships with healthcare providers emerges as a key opportunity. Such collaborations not only enhance the app's credibility but also open avenues for direct integration with real-time prescription data.

4

Personalization for User Engagement

The opportunity to offer personalized experiences based on user health profiles underscores the potential for increased engagement. Customizing content and features to individual preferences can foster long-term app usage and user satisfaction.

5

User Trust as a Critical Factor

The threat of user trust issues highlights the critical importance of maintaining accuracy in prescription reviews and ensuring robust data security measures. Building and preserving user trust is paramount for the app's sustained success.