Clinical workflow automation, in production in weeks

Handle more diagnostic and clinical activity without adding administrative load. Dreamix builds clinical workflow automation, scheduling and integration for radiology, laboratories, fertility clinics, hospitals and specialty care, connected to the clinical IT systems (HIS, RIS, PACS, LIS and EHR/EMR) you already run.

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They trust us

“They take pride in the development of the platform and are extremely technically proficient!”

Alexander Tsiaras

CEO, StoryMD

More diagnostic capacity from the people and equipment you already have

Demand for diagnostic services keeps rising. Specialist capacity does not rise with it. The organisations that pull ahead are the ones that get more out of existing appointment slots, equipment hours and clinical time, rather than the ones that add headcount to absorb the difference.

Clinician and patient at a check-up appointment

Handle more activity without adding administrative complexity

As you grow, you usually need to coordinate more. More appointments to schedule, more equipment to keep utilised, more exceptions to handle by hand. Beyond a certain volume the admin layer grows faster than the clinical activity underneath it.

Our critical workflow automation services streamline the operational layer around clinical work.

Scheduling and capacity rules

that reflect how your modalities and rooms actually run.

Automated handling of the routine cases

so coordinators spend their time on exceptions.

Operational analytics

that show where equipment hours and turnaround time are being lost, with the data pulled from the systems already generating it.

Where is your admin load actually going?

Tell us how scheduling and coordination run today.

Specialists reviewing aggregated patient data on a single screen

Give scarce specialists more time for the work only they can do

Radiologists, pathologists, embryologists and specialist consultants spend too much of their day on things that do not require their training. Chasing missing prior imaging. Re-keying results between systems. Documentation. Reading around a case because the relevant history sits in three places.

We give that time back in three ways.

Data aggregation, so a specialist opens one view rather than four systems.
OCR and structured extraction, so referral letters, external reports and paper records arrive as usable data instead of attachments someone has to read.
Selected AI-supported steps inside the workflow, such as surfacing relevant prior results and flagging incomplete information before a case reaches a specialist.

The AI supports the clinician’s judgement and documents its inputs. It does not replace the decision, and every step it takes is logged.

See what the Medical AI Decision Software accelerator already covers →

Make referral and booking easier for referrers, patients and your team

Referrals still arrive by phone, email and fax. Each one gets read, re-keyed, checked for missing information and then turned into an appointment through another round of calls. The effort is spread across so many small steps that it rarely shows up as a problem anyone owns, but it absorbs a significant share of coordinator time and it is where appointments go unconfirmed.

We digitise the path from referral to confirmed appointment.

Referral submitted

Checked for missing information

Availability visible to the referrer

Appointment confirmed

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Your clinical IT systems: HIS · RIS · PACS · LIS · EHR/EMR

A single submission route for referrers

integrated with your clinical IT systems (HIS, RIS, PACS, LIS, EHR/EMR) so a referral becomes a booking without anyone entering it a second time, with incomplete referrals flagged at submission rather than discovered on the day.

Visibility for referrers

of availability and the status of the patients they have sent you.

Self-service for patients

who confirm, reschedule and complete their own details.

Ask us what it takes

to connect this to your clinical IT system.

The result is less administrative work, fewer handovers between people and better use of the appointment capacity you already have.

Integration work that clinicians rely on

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Case study

The accelerator built for providers and diagnostic services

An accelerator is a pre-built solution framework. The architecture, the core components and the integration patterns are already built and tested. We customise the remainder to your operation and connect it to your systems, which is what makes a 60 to 90 day production timeline realistic.

Medical AI Decision Software

Aggregates patient records from across your systems, including paper via OCR, into a single clinical view. Generates clinical documentation automatically and writes it back to the EHR. Surfaces relevant labs, imaging and history at the point of decision, and flags drug interactions and preventive care gaps. Includes a patient self check-in and self-service portal, plus clinical and operational analytics.

Time from project start to a working solution in production

60 to 90 days

Customise, integrate and deploy an accelerator.

12 to 24 weeks

Build a focused solution from scratch and deploy the first production release.

Phased for larger programmes

Useful functionality goes live early rather than waiting for the full scope.

Built to be validated, audited and defended

Audit trails, access control, data lineage and validation evidence are part of the build from the first architecture session. If you ever need to show an auditor how a result moved through the system and who touched it, the solution is built with that in mind.

FAQs

HIS, RIS, LIS, PACS, EHR and practice management systems, over HL7 v2, FHIR and DICOM, plus vendor APIs and file-based interfaces. We start by mapping what you run and what each system is allowed to do, because that determines the shape of everything else.

Yes, and that is the usual case. We build the workflow layer around your core systems and integrate with them. Replacing a HIS, RIS or LIS is a much larger programme with a much longer path to production, and it is rarely what the capacity problem actually requires.

60 to 90 days where an accelerator fits your workflow, from project start to production. A bespoke build reaches its first production release in 12-24 weeks. Both assume your integration environments and a named clinical or operational owner are available from week one.

A clinical or operational owner who can make workflow decisions, access to a test environment for the systems we are integrating with, and someone from IT for the integration questions. We handle the rest, from discovery through production and support.

You do, entirely, including the customisations to the accelerator.