Deep Diving into Clinical Challenges
An in-depth research phase focused on evaluating diverse healthcare challenges to identify systemic gaps, workflow delays, and meaningful opportunities for design-driven impact.
Insights
Feb 14, 2026
As the internship progresses, my focus has shifted from merely identifying medical problems to carefully evaluating their feasibility, scale, and systemic impact. In healthcare, noticing a gap is only the beginning. The real challenge is understanding whether the issue is recurring, who it affects, how it integrates into existing workflows, and whether design can realistically create measurable improvement.
After reviewing multiple problem statements from the MEDHA event, I explored domains such as Objective PPH Quantification, Smart OT Sterility Monitoring, Stroke Workflow Systems, Critical Postnatal Lab Tracking, Digital Diabetic Foot Monitoring, AI-assisted CT Analysis, Affordable Non-Invasive Bone Screening, Patient Progress Portals, and a Decentralised NICU Model. While each topic initially appeared as an isolated clinical issue, deeper research revealed broader systemic patterns connecting them.
A recurring theme across many of these challenges is delay, fragmentation, and lack of real-time coordination. Blood loss during delivery is often visually estimated, increasing the risk of underestimation. Stroke treatment is highly time-sensitive, yet workflow inefficiencies can delay action within the thrombolysis window. Postnatal emergency labs frequently lack structured prioritisation and tracking systems. Meanwhile, patients and caregivers struggle to follow treatment updates due to unclear communication channels. These inefficiencies directly influence clinical outcomes rather than being minor operational gaps.
At this stage, I remain in the research phase, focusing on understanding the depth and context of each problem. My work involves studying current systems, reviewing medical literature, watching procedural videos, and analysing existing solutions. This exploration is helping me build a strong foundation before moving toward structured evaluation or solution development. As a product designer entering healthcare, I am learning that meaningful innovation is less about creating something entirely new and more about reducing friction within existing systems—designing clarity, coordination, and accessibility into healthcare workflows.
More to Discover
Let’s Start
Something Great
Deep Diving into Clinical Challenges
An in-depth research phase focused on evaluating diverse healthcare challenges to identify systemic gaps, workflow delays, and meaningful opportunities for design-driven impact.
Insights
Feb 14, 2026
As the internship progresses, my focus has shifted from merely identifying medical problems to carefully evaluating their feasibility, scale, and systemic impact. In healthcare, noticing a gap is only the beginning. The real challenge is understanding whether the issue is recurring, who it affects, how it integrates into existing workflows, and whether design can realistically create measurable improvement.
After reviewing multiple problem statements from the MEDHA event, I explored domains such as Objective PPH Quantification, Smart OT Sterility Monitoring, Stroke Workflow Systems, Critical Postnatal Lab Tracking, Digital Diabetic Foot Monitoring, AI-assisted CT Analysis, Affordable Non-Invasive Bone Screening, Patient Progress Portals, and a Decentralised NICU Model. While each topic initially appeared as an isolated clinical issue, deeper research revealed broader systemic patterns connecting them.
A recurring theme across many of these challenges is delay, fragmentation, and lack of real-time coordination. Blood loss during delivery is often visually estimated, increasing the risk of underestimation. Stroke treatment is highly time-sensitive, yet workflow inefficiencies can delay action within the thrombolysis window. Postnatal emergency labs frequently lack structured prioritisation and tracking systems. Meanwhile, patients and caregivers struggle to follow treatment updates due to unclear communication channels. These inefficiencies directly influence clinical outcomes rather than being minor operational gaps.
At this stage, I remain in the research phase, focusing on understanding the depth and context of each problem. My work involves studying current systems, reviewing medical literature, watching procedural videos, and analysing existing solutions. This exploration is helping me build a strong foundation before moving toward structured evaluation or solution development. As a product designer entering healthcare, I am learning that meaningful innovation is less about creating something entirely new and more about reducing friction within existing systems—designing clarity, coordination, and accessibility into healthcare workflows.
More to Discover
Let’s Start
Something Great
Deep Diving into Clinical Challenges
An in-depth research phase focused on evaluating diverse healthcare challenges to identify systemic gaps, workflow delays, and meaningful opportunities for design-driven impact.
Insights
Feb 14, 2026
As the internship progresses, my focus has shifted from merely identifying medical problems to carefully evaluating their feasibility, scale, and systemic impact. In healthcare, noticing a gap is only the beginning. The real challenge is understanding whether the issue is recurring, who it affects, how it integrates into existing workflows, and whether design can realistically create measurable improvement.
After reviewing multiple problem statements from the MEDHA event, I explored domains such as Objective PPH Quantification, Smart OT Sterility Monitoring, Stroke Workflow Systems, Critical Postnatal Lab Tracking, Digital Diabetic Foot Monitoring, AI-assisted CT Analysis, Affordable Non-Invasive Bone Screening, Patient Progress Portals, and a Decentralised NICU Model. While each topic initially appeared as an isolated clinical issue, deeper research revealed broader systemic patterns connecting them.
A recurring theme across many of these challenges is delay, fragmentation, and lack of real-time coordination. Blood loss during delivery is often visually estimated, increasing the risk of underestimation. Stroke treatment is highly time-sensitive, yet workflow inefficiencies can delay action within the thrombolysis window. Postnatal emergency labs frequently lack structured prioritisation and tracking systems. Meanwhile, patients and caregivers struggle to follow treatment updates due to unclear communication channels. These inefficiencies directly influence clinical outcomes rather than being minor operational gaps.
At this stage, I remain in the research phase, focusing on understanding the depth and context of each problem. My work involves studying current systems, reviewing medical literature, watching procedural videos, and analysing existing solutions. This exploration is helping me build a strong foundation before moving toward structured evaluation or solution development. As a product designer entering healthcare, I am learning that meaningful innovation is less about creating something entirely new and more about reducing friction within existing systems—designing clarity, coordination, and accessibility into healthcare workflows.