Area 01
Clinical Systems
Frontline clinical work on one shared patient record, from the exam room to the pharmacy.
EMR · Nursing · Pharmacy
Smart Hospital Technology
Connecting technology and people
for better care
Bringing hospital systems, staff and data together
with technology designed around real work
Common challenges
Before becoming a Smart Hospital,
you must fix the old problems
Five patterns we keep seeing in hospitals about to start a digital programme.
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Fragmented data
Patient data sits in several disconnected systems, so no single place shows the whole picture.
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Duplicated workflows
Staff re-enter the same data at several points, costing time and inviting mistakes.
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Hard to see the whole picture
Executives get retrospective reports rather than data they can decide on in time.
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Long patient waits
Each service point repeats the same steps; queues build up with no visible bottleneck.
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Hard to connect legacy systems
New systems cannot bind to the existing HIS, so projects stall at the pilot stage.
Smart Hospital Ecosystem
One connected hospital ecosystem, not scattered plug-ins
Four platform layers connect from the patient through to the executive, then reach the existing HIS through a single integration layer.
Patient Layer
Registration · Appointment · Queue · Telemedicine · Patient App
Clinical Layer
EMR · Doctor Workspace · Nursing · AI-assisted Clinical Review
Hospital Operations
Pharmacy · Laboratory · Inventory · Bed Management · Billing
Intelligence Layer
Analytics · Executive Dashboard · Reporting · Decision Support
Integration Layer
API · HL7 · FHIR · connects to existing HIS
Existing HIS / external hospital systems
HOSxP · SSB · TrakCare · other systems in place
Designed to work alongside the hospital's existing IT
API & Webhooks
HL7 · FHIR
Role-based Access
Audit Trail
Cloud / On-premise
PDPA-oriented
Solutions · Smart Hospital
4 solution areas that together make a smart hospital
Each area is designed to work together on one data layer, so you can start wherever the hospital hurts most.
Pick a building to see each area.
Area 02
Patient Experience
Fewer waiting points and repeated steps, from before arrival through follow-up after discharge.
Appointment · Smart Queue · Telemedicine
Area 03
Healthcare Intelligence
Turns operational data into a view executives and clinical teams can act on, with staff supervising every suggestion (human-supervised).
Dashboard · Analytics · AI-assisted Clinical Review
Area 04
Integration & Infrastructure
The integration layer that lets new systems talk to the existing HIS, with deployment options that follow your data policy.
HIS/LIS · API · HL7 · FHIR · Cloud/On-Premise
* The hospital, the buildings and the screens in this section are concept illustrations, not a real hospital, product screen or real data. Where AI is used, every suggestion stays under human supervision.
Implementation Journey
3 phases from planning to live use
Every project follows the same frame. Scope and acceptance criteria for each phase are agreed together before work starts.
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Phase 01
Analyse and design
The team visits on site to study real workflows, existing systems and the data to be connected, then proposes scope and a delivery plan.
- Requirement analysis
- Redesign the workflow
- Prototype & blueprint
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Phase 02
Build and deploy
Build to the agreed design, deploy in the hospital, and connect to existing systems through the standard integration layer.
- Agile Development
- System Integration
- Data Migration
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Phase 03
Train and maintain
Train staff at every level, then maintain and extend the system within the agreed scope of service.
- On-site & online training
- Support under the agreed SLA
- Continuous Updates
Swipe left and right to see all three phases
Our Team
The InnoWell team behind every project
Six roles that work together from on-site discovery to post-handover support.
Pick a person to see what they look after.
Role 01
Project Manager
Looks after the scope, plan and acceptance criteria agreed with the hospital, and keeps each phase on plan.
Related steps: Discover → Improve
Role 02
Business Analyst
Goes on site to study real workflows, existing systems and the data to be connected before requirements are set.
Related steps: Discover · Map
Role 03
UX/UI Designer
Designs screens and task flows, then reviews drafts with doctors, nurses and IT before development starts.
Related steps: Design
Role 04
Software Developer
Builds the system to the agreed design and tests it before deployment.
Related steps: Build
Role 05
Integration Engineer
Connects the new system to the HIS and other existing systems through APIs, HL7 or FHIR, as far as those systems allow.
Related steps: Integrate
Role 06
Implementation & Support
Deploys and tests on site, trains staff where they work, and maintains the system after handover as agreed.
Related steps: Deploy · Improve
* An illustration of the roles in our team. It does not depict specific people or headcount.
Real-world Experience
Systems designed from the real ward, not from slides
The team goes on site to capture real workflows before design begins, and stays until the system is genuinely in use.
Survey
Survey the existing systems
Survey the IT estate and how work really happens, before agreeing project scope together.
Discover
Capture each department's real workflow
Trace the actual steps from intake to pharmacy to find where work is duplicated.
Design
Design with the people who use it
Review drafts with doctors, nurses and IT before development starts.
Install
Install and test
Test real usage on site before going live.
Train
Train staff on site
Teach the working system to the staff who will use it.
Handover
Hand over
Handover with a complete set of user documentation.
Support
Post-deployment support
Ongoing maintenance under the agreement made together.
Measure
Measure the outcome
Measure usage against the criteria agreed up front.
Swipe left and right to see them all
Illustrative example
Example pilot: Smart Queue + EMR in the OPD
A hypothetical scenario showing how we plan and measure a pilot — not a customer result.
Common challenge
OPD queues build up through the morning, and staff re-key patient data between screening and the exam room.
Approach
Smart Queue connected to the EMR so patient data flows from check-in through to the exam room.
Pilot
Start with a limited scope, such as the OPD, with on-site training and metrics agreed together before starting.
Measurement
Compare queue waiting time, patient satisfaction and documentation errors before and after the pilot, then decide whether to scale.
Metrics to agree on before a pilot starts
Queue waiting time
Compared before and after the pilot
Patient satisfaction
The same survey in both periods
Documentation errors
Counted through record audits
* Targets and measurement methods are agreed with the hospital before the project begins.
Systems involved: Smart Queue · EMR · Integration Layer
Insights
Strategic perspective for decision makers
Our articles are currently published in Thai.
Strategy · 15 Jan 2026 · 8 min read
Smart Hospital trends 2026: the future of smart hospitals in Thailand
The technology directions Thai hospitals should budget and staff for in advance.
Read more
AI Governance · 25 Feb 2026 · 9 min read
AI-assisted diagnosis: technology reshaping Thai medicine
Where AI genuinely helps, and why every suggestion still needs human oversight.
Read more
Integration · 17 Mar 2026 · 13 min read
Comparing HIS options in Thailand: choosing the right system for your organisation
Evaluation criteria for an HIS, and what to ask about integration before you decide.
Read moreFAQ
Questions? Here are the answers
How does a project with InnoWell start?
We begin by discussing your goals and the problems to solve. The team then assesses workflows, existing systems, the data to be connected and the metrics, before proposing scope, a delivery plan and acceptance criteria for review together.
Can it connect to an existing HIS or legacy systems?
Integration can be designed through APIs or health data standards such as HL7/FHIR where appropriate. The capability of the existing system, data access rights, data structure and each vendor's requirements are assessed before scope is confirmed.
How are security and PDPA handled?
Every project defines controller and processor roles, access rights, encryption, audit trail, backup and incident response for the actual scope, with PDPA requirements and related measures documented in the project papers.
What determines the cost?
Cost depends on the number of systems, the extent of customisation, integration and data migration, the deployment model, training and the level of support. The team sets out deliverables, terms and cost in a quotation before work begins.
Is there a demo or POC before the project starts?
A system demonstration can be arranged and a POC discussed where it suits the organisation's needs. The POC's scope, duration, data set, evaluation criteria and cost are agreed together before starting.
Ready to elevate your hospital systems?
Talk to the InnoWell team about healthcare technology designed around your workflows and your existing systems.
Or call us directly 080-939-9566
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during business hours
Talk to our healthcare technology team to assess your existing systems and sequence the work ahead.
- Review the systems and data the hospital already runs
- Sequence the development and a scope that is actually achievable
- Discuss the engagement model that fits your organisation
Mon-Fri 9:00-18:00
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