Overview / Healthcare systems

Command Center

Selected work across hospital systems, implementation, data and product development.

LAST REVIEWED // SEP 2026

Lakshmi Sujeesh // Biomedical Engineer

Making healthcare systems work in practice.

I work between hospital users and technical teams—turning operational needs into workflows, requirements, tested systems, issue resolution and adoption.

Lakshmi Sujeesh

Healthcare Systems · Digital Health · Biomedical Engineering

CurrentTTSH C3 Centre · NHG HMAP

EducationNUS Biomedical Engineering

FocusSystems implementation · AI-enabled workflows

Status● ACTIVE

C3–Teams UAT

VERIFIED

100%verification completed

C3–Teams Production

VERIFIED

100%verification completed

Epic Workflow

IMPROVED

−50%administrative time

User Research

MEDTECH

100+children & caregivers

Active Operations

3 workstreams

Operation	Systems / Partners	State
Incident Management Workflow · verification · adoption	C3 · Teams · Synapxe · ST	● OPERATIONAL
C3 Chatbot POC Requirements · integration · UAT	C3 · ST · Synapxe	● VALIDATION
Dashboard Verification Production · troubleshooting	C3 · source systems	● MONITORING

System Activity

selected milestones

MILESTONE 05
C3–Teams production verification
Verification complete across production environment.
MILESTONE 04
C3–Teams UAT
100% verification completed.
MILESTONE 03
Incident workflow aligned
Workflow agreed with Synapxe and ST Engineering.
MILESTONE 02
Epic workflow redesign
Administrative time reduced by 50%.
MILESTONE 01
MedTech product validation
100+ users engaged in research and testing.

Operations / Workstreams

Implementation Record

What the problem was, what I did, and what changed.

Operational Workstreams

TTSH C3 · KTPH

OPS-001

Hospital Incident Management

● OPERATIONAL

Designed the IT incident workflow adopted by Synapxe and ST Engineering, then supported implementation of C3–Microsoft Teams workflows for incident reporting, monitoring and response.

01 DISCOVERGround workflow

02 DEFINEEscalation path

03 ALIGNTechnical partners

04 VERIFYUAT + production

05 ADOPTUsers + support

AI-001

C3 Chatbot POC

● VALIDATION

Supported the chatbot POC from requirements gathering through UAT, translating operational use cases into functional and technical requirements, data-source considerations and acceptance criteria with ST Engineering and Synapxe.

01 USE CASEOperational need

02 REQUIREFunctional / technical

03 INTEGRATESources / architecture

04 ACCEPTCriteria

05 VALIDATEUAT

DATA-001

C3 Dashboard Verification

● MONITORING

Supports ongoing verification of production C3 dashboards, raising and troubleshooting issues with hospital stakeholders and technical partners across NGEMR and other source-system contexts.

01 VERIFYProduction output

02 REPRODUCEIssue

03 INVESTIGATEStakeholders

04 RESOLVETechnical teams

05 IMPROVEEnhancement

OPS-002

Epic Workflow Digitisation

● COMPLETE

Redesigned a pre-employment health-screening workflow using Epic SmartPhrases and FormSG with HR, occupational health doctors and nursing stakeholders.

01 MAPCurrent process

02 REDESIGNDigital workflow

03 ALIGNDepartments

04 DEPLOYEpic + FormSG

RESULT−50% admin time

Topology / Healthcare environment

System Map

A simplified public representation of the systems and stakeholders around recent work.

CONCEPTUAL // NOT ACTUAL ARCHITECTURE

Healthcare Operations Topology

hover nodes

Ground Usersreport / respond

Duty Officersmonitor / coordinate

C3command center

NGEMR / Epicsource context

Teamsincident workflow

SAPCH / eQMSsource systems

Synapxetechnical partner

ST Engineeringvendor partner

USERS CORE PARTNERS

My Role Across the System

Discover

GROUND FEEDBACKWORKFLOW OBSERVATION

APPLIED

Define

REQUIREMENTSUSE CASESACCEPTANCE

APPLIED

Validate

UATPROD VERIFYISSUE REPRO

APPLIED

Operate

TROUBLESHOOTADOPTIONVENDOR COORD.

APPLIED

System Context

The topology is intentionally simplified. It communicates where Lakshmi works in the implementation lifecycle without exposing hospital architecture, configuration, internal workflows, credentials or patient information.

Results / Evidence

Outcome Monitor

Selected outcomes supported by project and work records.

C3–Teams // UAT verification

100%

● COMPLETE · functional verification

C3–Teams // production verification

100%

● COMPLETE · production environment

Epic workflow // admin time

−50%

● IMPROVED · pre-employment screening

MedTech // user research

100+

children and caregivers

Innovation // funding

S$50K

Duke-NUS Health Innovator Programme grant

Innovation // IP

Provisional patent

contact lens assistive device

Capability Status

evidence-based categories

Healthcare systems

EPIC / NGEMRC3TEAMSSOURCE SYSTEMS

APPLIED

Implementation

REQUIREMENTSUATPROD VERIFYINCIDENTS

APPLIED

Data & analysis

PYTHONCLINICAL DATAVISUALISATION

WORKING

AI implementation

CHATBOT POCUSE CASESACCEPTANCE

POC EXP.

R&D / Innovation

Beyond Operations

Product development, clinical data and engineering work.

MEDTECH // PRODUCT DEVELOPMENT

Contact Lens Assistive Device

Developed an assistive device for myopic children, progressing through user research, safety-focused prototyping, provisional IP and industry co-development.

100+USERS RESEARCHED

S$50KGRANT

IPPROVISIONAL PATENT

CLINICAL DATA // RESEARCH

Clinical Data Analytics

Applied kNN and MICE missing-data strategies to a 30-patient dataset with 20+ variables and analysed longitudinal TMS data using Python.

30PATIENT DATASETS

20+VARIABLES

PYANALYSIS

PATIENT MONITORING // SENSORS

Fall Detection System

Built a fall-detection and location-notification prototype for dementia care using gyroscope and GPS data.

1stBES DESIGN CHALLENGE

IMUGYROSCOPE

GPSLOCATION

MEDTECH // VALIDATION

Kinexcs

Supported validation data collection, medical-device troubleshooting and clinical software validation for patient recovery monitoring.

CLINVALIDATION

DEVTROUBLESHOOTING

Profile / Background

Lakshmi Sujeesh

Biomedical engineering → MedTech → healthcare data → hospital systems.

Professional Profile

I studied Biomedical Engineering at the National University of Singapore, with a second major in Innovation and Design. My early work spanned MedTech product development, biomedical research and healthcare data.

I moved into hospital operations to understand the systems around healthcare delivery—not only how technology is built, but how it is implemented, tested, supported and adopted by real users.

My current work at TTSH's C3 Centre sits at that intersection: hospital operations, healthcare systems, technical partners and emerging AI-enabled workflows.

Career Timeline

2026
TTSH · C3 Centre
Healthcare systems implementation
2025–26
KTPH · NHG HMAP
Hospital operations & workflow redesign
2024
Singapore-ETH Centre
Clinical data analytics
2024
Edwards Lifesciences
Process technology engineering
2023
A*STAR
Biomedical research & Python analysis
2022
Kinexcs
MedTech validation
2021–25
NUS
B.Eng. Biomedical Engineering · Innovation & Design · GPA 4.51