iCIMS to Exhibit at COSA 2019 – Adelaide 12th – 14th Nov

iCIMS will be showing the latest version of our Multidisciplinary Team solution at the annual Clinical Oncology Society of Australia (COSA) Scientific Meeting.

The solution, Integrated Cancer Information Management System (ICIMS) is being rolled out across all tumour streams at the Sydney Adventist Hospital (SAN) with two streams (Breast Cancer and Lung Cancer) already live.

Sydney Adventist Hospital Integrated Cancer Centre

The ICIMS system adds another layer of automation to the purpose-built Integrated Cancer Centre ( https://www.sah.org.au/cancer-integratedcare) by managing the flow of each MDT meeting, autopopulating ICIMS forms with data from eight different SAN systems including patient demographics, pathology reports, surgery, chemotherapy and radiation oncology. Additionally for each patient the summary data for the meeting is sent to the SAN EMR.

Access to the system is role-based and controlled by Active Directory with single sign-on (SSO) being implemented.

Gavin Marx, the clinical director of the San Integrated Cancer Centre, said the system was proving to be an important collaboration between the San and iCIMS.

“The accelerating pace of improving care and treatment of our patients at the San is founded on complex multidisciplinary collaboration through efficient access to all the critical information we need for care planning and driving ongoing research,” Associate Professor Marx said.

“Our ICIMS is the bedrock for reliable collection, analysis and presentation of big data information for our multidisciplinary teams.”

iCIMS Exhibiting at HIC 2018 – Sydney

iCIMS is pleased to announce that we will be exhibiting at HIC 2018 – Sydney, 29th July – 1st August at the International Convention Centre.

Drop into Booth 63 to find out how the iCIMS Immediate Adaptability architecture enables our clients to build highly tailored clinical systems in a fraction of the time required for traditional development environments.

Discuss real-world examples of our clients deploying purpose-built Oncology MDM systems that slot easily into existing clinical workflows; with design changes typically taking days, not weeks or months, to be delivered to the end users.

See https://www.hisa.org.au/hic/ for more details about the conference.


iCIMS Exhibits at HIC 2017 in Brisbane 6-9 August

iCIMS will be exhibiting at HIC 2017, held at the Brisbane Convention and Exhibition Centre, 6th – 9th August.

Visit us at Booth #77 and discover how iCIMS’ radical, but proven technology enables ultra-rapid design, debug and deployment of solutions for MDM/MDT and Clinical Information Systems.

Discuss with our staff how iCIMS took a client with a need for a tailored Breast MDM solution from initial design to a highly customised deployment in just five months. With total Clinician and Admin staff acceptance.

No other company can offer clients a three month grace period after go-live for no-cost changes to the system.  This means that clients have the capability to further adapt the system once it is in production. This capability is key component of iCIMS’ philosophy, as it is only once a system is in full production that users can fully understand their needs of the system.

One client put through 98 change requests during the grace period. 93 of those changes were turned around in 3 days or less.  Compare the rapidity of iCIMS’ adaptability to the timeframe of other clinical system vendor’s change request process.

See https://www.hisa.org.au/hic/ for full conference details.

iCIMS Co-authored Paper presented at the Victorian Integrated Cancer Services (VICS) 3rd Conference

iCIMS Co-authored Paper Presented at Victorian Integrated Cancer Services (VICS) 3rd Conference

Professor Bruce Mann, Director of Breast Tumour Stream -Victorian Comprehensive Cancer Centre, presented a paper at the  Victorian Integrated Cancer Services (VICS) 3rd Conference titled: “Expanding the Value of Multi-Disciplinary Team Meetings – Data and Process Together is the Key”.

The paper was co-authored by Prof. Bruce Mann, Allan Park and Lisa Talbot from Melbourne Health and Ali Besiso, Vickie Ho and Prof. Jon Patrick from iCIMS.  The Abstract is below.

VICS 2017 Paper Abstract

Expanding the Value of Multi-Disciplinary Team Meetings – Data and Process Together is the Key.

The Multidisciplinary meeting (MDM) is a critical part of cancer patient management. Substantial time is spent preparing for the MDM, and IT support for MDMs is vital. Different cancers have different software requirements for the MDM and the requirements for any particular cancer may change with developments in clinical practice.

The MDM offers an excellent opportunity to collect an agreed dataset on all patients that can be used for a variety of clinical, quality assurance and research purposes. This potential is rarely realised due to challenges of data collection, presentation, and subsequent use. Complex requirements create significant challenges for analysis, design and development of working software.

In a pilot project between RMH & Women’s Breast Service and iCIMS, a Clinical and Research Information Management System was developed to specification of the Breast Service. It provides an electronic system where data are entered prior to, during, and after the MDM to populate the MDM presentation template, collect data that can be used for various aspects of the Breast model of care, and for research purposes. It is central to data submission to the Breast Quality Audit, the creation of Survivorship Care Plans with auto population of pathology and treatment details and an extensive research program.

On go-live, the system served basic MDM functions defined by the service, but as it was rolled out to further users and exposed to a wider VCCC breast tumour stream members, refinements were introduced into the design. In the first 3 months of live operations, 91 revisions were requested of which 75 were addressed in a mean time of 3 days, due to the “immediate adaptability” of the iCIMS technology.

This paper presents the work flow and various uses of the Clinical and Research data system, and demonstrates the changes, and the processes behind them, that have been implemented to refine its function.

APAMI 2014 Keynote Presentation Plenary Paper

Conference: APAMI 2014, Day 4, Scientific Programme
Date: Sunday, 02 November 2014, 08:30 – 08:50 (14:00 – 14:20 Sydney time)
Venue: Stein Auditorium, India Habitat Centre, New Delhi, India
Session Name: Clinical Workflow and Human Factors

IT as the Controlling Influence in a hospital department

Jon Patrick PhD MSc, BSc, Dip LS, Grad Dip BHPsych
iCIMS, Sydney Australia


An investigation into methods to improve the design and implementation of clinical information systems (CIS) was conducted by using a process of Clinical Team Led Design (CTLD). The process of clinicians studying their own workflow processes demonstrated the extent to which clinical work is controlled by the IT implemented in a department. The ability to break out of the straightjacket created by the IT can only be attained when the design of the IT itself can be manipulated by the staff and altered as required by their needs.

It is demonstrated that Best-of-Breed clinical information systems developed under the principle of CTLD creates more efficiencies in the workplace than enterprise EMR systems (EEMR).

An important aspect of clinical care is the need to change workflows and operating procedures as the environment around the work changes either due to new professional practices or shifting regulatory and administrative requirements. Hence, an ability to perform Continuous Process Improvement (CPI) is fundamental to the good practices of a clinical team. Rigid EEMR systems that are slow and highly expensive to change are a significant sea anchor in the pursuit of CPI and frustrate staff to the limit of their patience.

A technology has been created that supports a methodology for creating user designs with an incremental iterative feedback process. In this technology, an underlying software engineering architecture, we denote as Emergent Clinical Information Systems (ECIS), automatically compiles the run-time code directly from the user designs, hence no programming is required to move from design to implementation. The ECIS architecture is defined on the principle of Ockham’s Razor of Design, that is, the elements of design that are engineered for the designer are a minimum number of design objects with maximal generalisation. The CIS design is created by a principle of Agile Design where designs are created and tested incrementally within an iterative process.

With this functionality, the capacity to make near real-time adaptation of an implementation is made available, giving enormous power to the design team to explore alternative designs before commissioning a specific implementation. At the same time, the underlying data management for all CISs built in the ECIS paradigm is the same, and hence it has the unification of the code base and data stores in a single application. In essence, it is a Best-of-Breed solution on the user side and an enterprise system on the server side.

The ECIS model with real-time changeability, native interoperability to move data to where it has to be used, and in-built analytics to monitor the effect of change represents a much superior approach to providing effective methods for CPI in any clinical setting. As a technology, it is ideally suited to the creation of a CIS for any clinical specialty.

A local clinical team at Nepean Hospital, Sydney, Australia, designed a CIS for their hospital emergency department, denoted the Nepean Emergency Department Information Management System (NEDIMS) using the ECIS approach and compared it to the EEMR incumbent system in the department.

A process analysis for each of the 6 activity centres in the ED described staff roles of: Clerking, Triage, CIN (Clinical Initiatives Nurse), Fast Track, Acute Care, and Nurse Unit Manager (NUM). The process analysis formed the basis of understanding the design needs of the department. It was also used subsequently to identify the task types that needed to be used in the quantitative comparison between the two systems. A total of 43 task types were identified of which 27 were present in the EEMR system, 40 were present in NEDIMS and 14 were completed on paper.

The department staff were observed for 22 days where each task instance was measured for time duration and number of mouse clicks in live usage on the EEMR and paper forms. A total of 722 task instances were recorded from 43 task types. Subsequently, 374 matched observations of 17 task types were measured for those tasks that could be repeated in NEDIMS of which 332 were matched task instances between NEDIMS and the EEMR, the remainder being matched to paper forms.

The final analysis showed that NEDIMS was 40% more efficient and had 30% less cognitive load than the incumbent EEMR system. Modelling of staff work for an average patient load of 165 patients per 24 hours indicated the staff would save an average time of 23.9 hours per day using NEDIMS.