Changing the way healthcare practices do business

AI in Healthcare: Built for What’s Next

AI is reshaping the healthcare industry

AI is strengthening healthcare operations by reducing administrative workload, improving information accuracy, and supporting faster communication. With rising operational costs, adopting AI is becoming essential, allowing staff to shift more of their time back to direct patient care, improving the overall experience for both patients and staff.

Team having a casual strategy discussion in a bright office space, representing collaboration and problem-solving.
Team having a casual strategy discussion in a bright office space, representing collaboration and problem-solving.
Team having a casual strategy discussion in a bright office space, representing collaboration and problem-solving.

Medical centres are busier than ever

Higher patient demand and heavier administrative responsibilities are impacting how efficiently practices can operate

Operational Costs

Increasing staffing expenses, compliance demands and admin workload are driving up operating costs and reducing margins.

Growing Patient Demand

Higher enquiry volumes, longer waitlists and rising communication expectations are pressuring practices to manage more with limited resources.

Workforce Strain and Burnout

Ongoing shortages in clinical and administrative roles are straining daily operations, making it harder to maintain consistent service levels.

AI is transforming what is possible in healthcare

Supports high enquiry volumes and delivers accurate information quickly, without increasing overall staffing costs

Supports high enquiry volumes and delivers accurate information quickly, without increasing overall staffing costs

Supports high enquiry volumes and delivers accurate information quickly, without increasing overall staffing costs

Analyses appointment trends and highlights where delays or bottlenecks are forming, giving staff better visibility.

Analyses appointment trends and highlights where delays or bottlenecks are forming, giving staff better visibility.

Analyses appointment trends and highlights where delays or bottlenecks are forming, giving staff better visibility.

Captures essential patient information early, routes patients to the right service with fewer manual steps.

Captures essential patient information early, routes patients to the right service with fewer manual steps.

Captures essential patient information early, routes patients to the right service with fewer manual steps.

Automates medication reminders and personalised routine follow-ups which supports better long term care outcomes.

Automates medication reminders and personalised routine follow-ups which supports better long term care outcomes.

Automates medication reminders and personalised routine follow-ups which supports better long term care outcomes.

Provides real time insights that help practices manage capacity, minimise disruptions and maintain consistent patient flow.

Provides real time insights that help practices manage capacity, minimise disruptions and maintain consistent patient flow.

Provides real time insights that help practices manage capacity, minimise disruptions and maintain consistent patient flow.

Enhances data integrity across EHR/EMR systems, reducing duplication and errors, preventing workflow interruptions.

Enhances data integrity across EHR/EMR systems, reducing duplication and errors, preventing workflow interruptions.

Enhances data integrity across EHR/EMR systems, reducing duplication and errors, preventing workflow interruptions.

Our process to put AI at the centre of the business

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PHASE 1

Readiness, Alignment and Strategy

Most failed AI projects start with a tool. Every successful one starts with a business problem. The goal here is to define the vision, business case and governance foundation. 

Image of spending summary card

PHASE 1

Readiness, Alignment and Strategy

Most failed AI projects start with a tool. Every successful one starts with a business problem. The goal here is to define the vision, business case and governance foundation. 

Image of spending summary card

PHASE 1

Readiness, Alignment and Strategy

Most failed AI projects start with a tool. Every successful one starts with a business problem. The goal here is to define the vision, business case and governance foundation. 

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PHASE 2

Pilot Design & Proof of Value

Once priorities are set, the focus shifts to proving what works. This phase is where strategy meets reality — designing small, controlled pilots that deliver tangible results.

Image of major expenses  card

PHASE 2

Pilot Design & Proof of Value

Once priorities are set, the focus shifts to proving what works. This phase is where strategy meets reality — designing small, controlled pilots that deliver tangible results.

Image of major expenses  card

PHASE 2

Pilot Design & Proof of Value

Once priorities are set, the focus shifts to proving what works. This phase is where strategy meets reality — designing small, controlled pilots that deliver tangible results.

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PHASE 3

Enterprise Architecture & Governance Buildout

Building the systems that make scale possible. With proof and learnings in hand, the next phase is all about creating the infrastructure to support growth.

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PHASE 3

Enterprise Architecture & Governance Buildout

Building the systems that make scale possible. With proof and learnings in hand, the next phase is all about creating the infrastructure to support growth.

Image of recent transaction card

PHASE 3

Enterprise Architecture & Governance Buildout

Building the systems that make scale possible. With proof and learnings in hand, the next phase is all about creating the infrastructure to support growth.

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PHASE 4

Scale & Integration

Expanding intelligence across the enterprise. Now the focus shifts from pilots to production. This is where AI stops being a standalone initiative and becomes part of everyday work.

Image of currency exchange  card

PHASE 4

Scale & Integration

Expanding intelligence across the enterprise. Now the focus shifts from pilots to production. This is where AI stops being a standalone initiative and becomes part of everyday work.

Image of currency exchange  card

PHASE 4

Scale & Integration

Expanding intelligence across the enterprise. Now the focus shifts from pilots to production. This is where AI stops being a standalone initiative and becomes part of everyday work.

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PHASE 5

Optimisation, Measurement & Continuous Learning

This final phase is about momentum - transforming early success into an ongoing cycle of learning, improvement and innovation. AI is institutionalised as a living capability that evolves with the business.

Image of recent transaction card

PHASE 5

Optimisation, Measurement & Continuous Learning

This final phase is about momentum - transforming early success into an ongoing cycle of learning, improvement and innovation. AI is institutionalised as a living capability that evolves with the business.

Image of recent transaction card

PHASE 5

Optimisation, Measurement & Continuous Learning

This final phase is about momentum - transforming early success into an ongoing cycle of learning, improvement and innovation. AI is institutionalised as a living capability that evolves with the business.

Ready to see how AI can help your healthcare practice?

Book a free AI Strategy Workshop

Ready to see how AI can help your healthcare practice?

Book a free AI Strategy Workshop

Ready to see how AI can help your healthcare practice?

Book a free AI Strategy Workshop

About TwinTech

At TwinTech, we help enterprise companies implement intelligent AI systems and transform how they operate. Shift from siloed data and systems to a seamlessly integrated organisation in a matter of weeks, not years.


From AI strategy to full-scale SaaS solutions, we help Australian businesses move from exploration to execution before their competitors do.


We specialise in designing and building intelligent software, automation frameworks, and next-generation AI infrastructure that deliver measurable results.

Team having a casual strategy discussion in a bright office space, representing collaboration and problem-solving.
Team having a casual strategy discussion in a bright office space, representing collaboration and problem-solving.
Team having a casual strategy discussion in a bright office space, representing collaboration and problem-solving.

FAQs

Can you work with the systems and tools we already use?
How do you determine which parts of our workflow can be improved?
What does the rollout process look like?
How do we manage data privacy, security, and compliance when using AI?
What level of training and change management will our staff need?
Can you work with the systems and tools we already use?
How do you determine which parts of our workflow can be improved?
What does the rollout process look like?
How do we manage data privacy, security, and compliance when using AI?
What level of training and change management will our staff need?
Can you work with the systems and tools we already use?
How do you determine which parts of our workflow can be improved?
What does the rollout process look like?
How do we manage data privacy, security, and compliance when using AI?
What level of training and change management will our staff need?