Enhancing high-level decision-making with near-real-time data

Enhancing high-level decision-making with near-real-time data

Enhancing high-level decision-making with near-real-time data

CHAG facilities coordinate through a structured network for consistent, high-quality healthcare. Elephant's initiative aims to help these organizations manage operations across all their sites using near real-time data gathered by Elephant OS. A secondary goal is to market Elephant OS by demonstrating its ability to dissect and present actionable data for informing policy decisions

TOOLS

Google Data Studio, Figma

ROLE

Design Lead

The Problem

The Problem

The Problem

The Methodist Health Directorate faces major operational problems. Like others in CHAG, these issues pose a challenge to healthcare delivery. Key problems included:

Budget restraints made it difficult to determine the optimal amount to spend on medical supplies.

Supply chain issues leading to stockouts of essential supplies due to poor demand forecasting.

A lack of preparedness for public health emergencies that require facilities to adapt quickly while still meeting daily health needs.

Effective planning for policy, evaluation, and resource management would help solve these problems. However, this planning is blocked by a lack of actionable data on key operations.

Discovery

Discovery

Discovery

Engagement with the Directorate

We held a series of Q&A sessions with representatives of the Methodist Health Directorate to better understand their needs and expectations regarding managing their facilities in the Greater Accra, Central, and Ashanti regions. Our engagement also focused on defining specific indicators to inform their decisions.

Our solution required providing actionable insights to help the directorate:

Identify key cost-saving opportunities.

Respond to disease outbreaks in near-realtime.

Effectively allocate resources where they are needed the most.

Generate printable reports that are in line with the Health Ministry's standards.

Effective planning for policy, evaluation, and resource management would help solve these problems. However, this planning is blocked by a lack of actionable data on key operations.

Data Acquisition and Analysis

Elephant OS was our only data source because it connected all the facilities managed by the directorate. Our data scientist and analyst did the heavy lifting by cleaning and processing the raw data from Elephant OS. They then organized it using key indicators ready for display on our dashboard.

Design Principles

Design Principles

Design Principles

Clarity

Making the information easy to understand so users aren’t confused.

Relevant

Ensuring the content or features meet the user’s actual needs and goals

Interactivity

Allowing users to engage with the system to explore different options.

Low Density

Ensuring everyone can use the system without difficulty.

Final Design Decisions

Final Design Decisions

Final Design Decisions

Setting up the “Command Center”

We envisioned a space in the Policy and Planning Department at the Methodist Health Directorate headquarters. It featured an 80-inch wall-mounted display, a console below holding a mini-computer, mouse, and keyboard, allowing users to interact with the dashboard. My colleague designed this mockup to visualise the final result.

Modular Approach

We focused on identifying the specific charts needed for the most actionable insights. Below are prototypes for selected modules I designed.

Putting it all together

We created a single, easy-to-read dashboard for each facility. This gave the Methodist Health Directorate a quick, complete view of that facility's operations.

Modular Approach

We focused on identifying the specific charts needed for the most actionable insights. Below are prototypes for selected modules I designed.

Modular Approach

We envisioned a space in the Policy and Planning Department at the Methodist Health Directorate headquarters. It featured an 80-inch wall-mounted display, a console below holding a mini-computer, mouse, and keyboard, allowing users to interact with the dashboard. My colleague designed this mockup to visualise the final result.

Validating Design Decisions

Validating Design Decisions

Validating Design Decisions

We conducted a week-long pilot at the directorate to stress-test our solution in a real-world setting. Feedback on the dashboard's user experience was largely positive, requiring only minor fixes. However, we encountered latency issues. This was especially true at remote facilities where slow internet and power outages were common.

Outcomes

Outcomes

Outcomes

The bad news first

The Methodist Data Room never launched. Slow decision-making by the directorate's leadership stalled the project. A few major hurdles dragged the launch out for months until it was abandoned entirely.

Some good news

Our "mission control" dashboard was ready for deployment. We were able to offer this solution to other health organizations and territories. For example, a dashboard is already active in a Pakistan District Health Office. Decision-makers there use it to track immunizations, illness, and prescriptions by facility.

Get In touch

Shoot me a message

eanaglo12@gmail.com

© 2077 Untitled UI. All rights reserved.

Get In touch

Shoot me a message

eanaglo12@gmail.com

© 2025 All rights reserved.

Get In touch

Shoot me a message

eanaglo12@gmail.com

© 2025 All rights reserved.

Create a free website with Framer, the website builder loved by startups, designers and agencies.