Nihit
Gurram.

Building transparent, clinically grounded AI for the patients most often overlooked.

Founder of Mosaic Health Solutions. Health-informatics graduate student focused on medication safety for older adults.

Portrait of Nihit Gurram, healthcare technologist and founder of Mosaic Health Solutions
United StatesPlate 01
/Medication safety/Geriatric care/Explainable AI/Clinical decision support/Health informatics/Prescribing cascades/Patient-centered design
01 / Profile

A practitioner of the glass box.

Nihit Gurram works at the intersection of clinical practice and applied AI. A health-informatics graduate student with a medical-school background, he founded Mosaic Health Solutions to build clinical decision support that catches medication-related risk in older adults before it causes harm.

His approach centers on transparent, explainable systems that keep clinicians in control rather than replacing their judgment. He brings together formal informatics training, hands-on product development, and a long-term commitment to improving how aging populations are cared for.

The throughline of his work is patient safety made practical, grounded in clinical reality, with a goal of democratizing healthcare access.

Discipline
Health Informatics
Domain
Geriatric Safety
Method
Explainable AI
02 / Venture

Mosaic Health
Solutions

Mosaic Health Solutions logo
Clinical Decision Support / Medication Safety

Mosaic Health Solutions builds AI-powered clinical decision support that helps clinicians catch medication-related risk in older adults before it causes harm. By translating established clinical criteria into transparent, explainable tools at the point of care, the company focuses on the prescribing cascades, anticholinergic burden, and fall risk that disproportionately affect aging patients.

Its mission is to make preventive medication safety practical for the clinicians and families who need it most.

03 / Focus

The problem space.

01

Prescribing cascades

When a side effect from one medication is mistaken for a new condition, another prescription often follows. In older adults, that chain can quietly escalate risk.

02

Anticholinergic burden

Cumulative exposure to anticholinergic medications is associated with cognitive and functional decline. The burden is often invisible across a patient's full regimen.

03

Fall risk and medication-related harm

Certain medications meaningfully increase fall risk in aging patients. Surfacing that risk in context, at the point of care, is a tractable safety problem.

04

Explainable, glass-box decision support

Tools that show their reasoning, cite their sources, and keep clinicians in control. The goal is augmenting judgment, not replacing it.

04 / Themes

Topics across healthcare and beyond.

  • 01Clinical decision support and the case for explainable AI in medicine
  • 02How venture capital evaluates early-stage healthcare startups
  • 03Designing health software clinicians actually use
  • 04Neuroscience and science communication for general audiences
  • 05Aging populations, polypharmacy, and the economics of preventive care
05 / Record

Selected affiliations.

01
Semi-finalist, Nucleate SF Activator
Lead inventor
02
Affiliation with ThinkNeuro
Contributor
03
Venture exposure
VC internship at Chaanakya Capital
06 / Contact

Open to thoughtful conversations.

The best way to reach Nihit is on LinkedIn. He is open to conversations with clinicians, researchers, operators, and investors working on patient safety, geriatric care, and explainable healthcare AI.

Email (placeholder) / hello@nihitgurram.com