Mirova Health
Client collaboration in healthcare

CLIENT EXPERIENCES

What our clients
actually say

Healthcare organisations we work with value candour as much as capability. These are their accounts — without embellishment.

← Back to Home

37+

Healthcare organisations served

4.8

Average satisfaction rating (out of 5)

91%

Clients who completed a second engagement

4+

Years of Singapore healthcare AI advisory


CLIENT REVIEWS

Perspectives from the field

"We had collected years of clinical data but had no clear picture of what it could support analytically. The Readiness Assessment was genuinely eye-opening — not in the way we expected, but in the way we needed. The team was candid about what was and wasn't workable, and that saved us from committing significant internal resources to a dead end."

Dr Teo Wei Liang

Clinical Informatics Lead, Private Hospital Group · Jan 2025

"The AI advisory helped us ask much better questions during vendor demonstrations. We had been evaluating a clinical decision support tool largely on its interface — after working through the governance and workflow considerations with Mirova Health, we realised we had been looking at the wrong things. The timeline ran slightly longer than expected, but the written outputs were worth it."

Priya Lalwani

Digital Health Manager, Specialist Outpatient Clinic · Feb 2025

"The readmission risk modelling project was structured from the very first meeting around what was clinically meaningful — not what would produce the most impressive metric. The final report was clear enough that I could present it to our medical advisory board without translation. That's rare."

Dr Chua Kai Ming

Deputy Medical Director, Regional Polyclinic · Dec 2024

"What I valued most was the willingness to say when something wasn't worth doing. We had a proposed use case around bed occupancy prediction that Mirova Health assessed as unlikely to add value given our data structure. That kind of direct assessment — backed by reasoning — is not common in this space."

Nazira Binte Ismail

Operations Director, Acute Care Hospital · Jan 2025

"We engaged Mirova Health for the data readiness assessment before proceeding with a larger analytics programme. The assessment was thorough and identified two significant data quality issues we had not noticed internally — both of which would have affected any modelling work downstream. Recommendations were practical and prioritised well."

Rachel Lim

Head of Data Analytics, Community Health Network · Feb 2025

"The governance component of the advisory was particularly useful. We had read the MOH guidelines but were uncertain how they applied to our specific procurement situation. The written guidance gave us a clear framework we could share directly with our legal and compliance teams."

Arjun Krishnamurthy

CIO, Multi-Specialty Health Group · Mar 2025


CASE STUDIES

Selected engagement summaries

CLINICAL DATA MODELLING ACUTE CARE HOSPITAL · SINGAPORE

CHALLENGE

A busy acute care hospital wanted to understand factors associated with unplanned 30-day readmissions across their general medicine wards. The clinical team had strong intuitions about at-risk patient groups but lacked a data-supported framework to inform discharge planning.

APPROACH

Following a data governance review, Mirova Health analysed three years of de-identified EMR data. A logistic regression model identified the strongest predictors of readmission, with a secondary analysis on patients with chronic comorbidities. All assumptions and limitations were documented throughout.

OUTCOME

Five variables with the strongest association with readmission risk were identified. The findings contributed to a revised discharge assessment checklist, piloted in one ward within three months of report delivery.

6 weeks · SGD 2,700

AI IMPLEMENTATION ADVISORY SPECIALIST OUTPATIENT CLINIC · SINGAPORE

CHALLENGE

A specialist clinic had shortlisted two AI-assisted clinical documentation vendors. Their teams were comfortable evaluating functionality but uncertain how to assess model performance claims or Singapore's regulatory requirements for Software as a Medical Device.

APPROACH

Over five advisory sessions, an evaluation framework was developed covering clinical evidence standards, PDPA data handling, HSA SaMD classification, and workflow integration. Structured questions were developed for the clinic's final vendor meetings.

OUTCOME

Vendor selection completed with a written governance rationale suitable for internal audit review. One vendor was removed following gaps identified in their responses. The selected vendor provided additional documentation requested by the clinic's legal team.

7 weeks · SGD 1,480

DATA READINESS ASSESSMENT COMMUNITY HEALTH NETWORK · SINGAPORE

CHALLENGE

A community health network preparing a business case for an AI-based chronic disease programme needed an external assessment of whether their data infrastructure could support the proposed use cases — before committing further resources.

APPROACH

A structured three-week review of primary clinical databases, documentation processes, and access controls. The review examined completeness of key chronic disease variables, longitudinal data linkage capability, and de-identification feasibility.

OUTCOME

Two of four proposed use cases were found to be data-ready. Specific improvements for the remaining two were recommended — achievable within six months. The written report was incorporated directly into the board business case.

3 weeks · SGD 580


CREDENTIALS & AFFILIATIONS

Our professional standing

SMIA Member

Singapore Medical Informatics Association — active membership since 2022

PDPA Compliant Practice

All data handling governed under Singapore's Personal Data Protection Act requirements

MOH AI Framework Aligned

Advisory practice informed by MOH and IDSC AI in Healthcare Guidelines

37+ Organisations Served

Hospitals, polyclinics, specialist clinics, and digital health teams across Singapore


REACH US

We'd be glad to hear from you

ADDRESS

11 Outram Road, #07-02
Singapore 169078

HOURS

Mon–Fri: 9:00 AM – 6:00 PM SGT
Sat: 10:00 AM – 1:00 PM SGT

Ready to begin a conversation?

We welcome enquiries from healthcare organisations at any stage of their AI journey. A short initial conversation is often the most useful starting point.

Get in Touch

YOUR ORGANISATION NEXT?

Add your organisation to the list

Whether you're exploring AI for the first time or reassessing an existing programme, we'd welcome the chance to understand your situation and suggest a practical way forward.

Start a Conversation