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Data tells a powerful story.
Smoking-related healthcare expenditure reached 2.41M, with hospital services and major medical costs accounting for over 75% of the total burden.
The trend analysis shows consistent annual growth — a signal that reactive healthcare spending is increasing while preventive efforts may not be sufficient.
Analytics can transform public health decisions.
When we quantify the economic cost of lifestyle risk factors, we shift conversations from awareness to accountability.
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One brand, three screens: patient, doctor, and the video call between them.
NovaHealth is a healthcare brand and product system I designed from logo to apps. Healthcare software tends to feel either cold and clinical or too cluttered to open. I wanted something calm for a worried patient and quick for a doctor between appointments.
The logo breaks the classic medical cross into soft, rounded blocks in two blues, so it reads as “health” without feeling sterile.
The patient app opens with one thing: a solid blue card showing your next appointment. It’s the only fully saturated block on the screen, so nothing competes with it.
The doctor dashboard is built for a glance. Total patients, today’s appointments, and pending messages come first, in the same blue and rounded style as the patient app.
The telehealth screen has almost no UI. The doctor’s face fills the screen, with just three controls: mic, camera, and a red end-call button, the only red in the whole system.
One rule ties it together: blue means action, white space means calm, and yellow is a small spark of warmth.
Which screen should I break down next? 👇
Great medical brand design specially the phone app UI and top left laptop dashboard 🔥🔥🔥
great job Joshua ❤️🎉
High-Volume Client Portfolio & Revenue Management
I look after a large group of important business clients and help them every day. I am the main person they talk to when they need help, have questions, or want to fix a problem.
What I achieved:
Kept clients happy so they stayed with our company for a long time.
Met my goals every single day by helping 4 to 7 clients renew or upgrade their plans.
Worked smoothly with other teams in my company to solve client problems quickly.
When I scope clinical AI, I separate drafting from rule-based checks.
In Arogya, typed or dictated rounds become editable AI drafts with the original source preserved. Deterministic rules handle checks such as allergy conflicts and abnormal-lab flags. Clinicians review and approve AI content before it reaches the chart.
That separation matters when a model or prompt changes. I'd want the team to rerun the rule checks with the same inputs and inspect their results independently of the draft's wording.
For a client evaluating an AI scribe, I'd ask to see why a flag appears and how the clinician reviews it before approving the record.
Public case: https://kapilchauhan.netlify.app/case/arogya.html
kapilchauhan.netlify.app
Arogya / Aurora EHR: AI for inpatient care | Kapil Chauhan
Production hospital and EHR platform that accelerates rounds, documentation, records, and care operations with clinician-reviewed AI.