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MOSAIQ Clinical WorkFlow Manager

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<strong>MOSAIQ</strong> <strong>Clinical</strong><br />

<strong>WorkFlow</strong> <strong>Manager</strong><br />

Business Process<br />

Management using the<br />

IMPAC Electronic Medical<br />

Record integrated with RTP<br />

applications as services for<br />

Quality Assurance


Introduction<br />

• Radiation Therapy Planning (RTP) is a reproducible<br />

process that can be integrated with the <strong>MOSAIQ</strong> EMR


RTP Workflow Management<br />

• RTP is a process<br />

– that requires Macro “States” (Create, Ready for Approval, Re-<br />

Plan, etc.) of Patient and Plan data to be managed<br />

• Process efficiency and reproducibility gains<br />

– should result if planning activities & tasks are automated<br />

• To support Adaptive Planning<br />

– an even higher level of Process Automation will be required<br />

• Therefore<br />

– platform independent workflow management (WFM) is THE core<br />

component of <strong>MOSAIQ</strong> RTP


RTP workflow<br />

• The efficiency of the RTP process can be increased by<br />

– Planning of sequential activities or tasks<br />

– Updated knowledge of task status until completion<br />

– User and Group work-lists<br />

– Task notifications, reminders, alerts – particularly when missed or<br />

overdue<br />

• User frustration can be reduced by<br />

– Reducing the number of mouse clicks when responding to the<br />

same question every time a new patient plan is created<br />

– Examples that could be managed by decision rules<br />

– Placing the isocenter location at the center of the PTV geometric<br />

bounding volume<br />

– Selection of protocol and treatment technique from available slots


Reproducible RTP<br />

• Treatment Planning is often based upon protocols, either<br />

national (i.e. RTOG, EORTC) or local<br />

– A protocol links activities with data and can be automated<br />

– Each clinic can define their own protocols


Protocol based RTP<br />

• <strong>MOSAIQ</strong> will support template-driven RTP from the EMR<br />

– Templates for<br />

– Image study acquisition<br />

– Registration method & metric<br />

– Manual contouring (delineation) by the Physician<br />

– Margining rules (population averages, patient-specific)<br />

– Automatic segmentation (ABAS)<br />

– Prescription (simple, complex, IMRT)<br />

– Virtual simulation workflow<br />

– Treatment planning workflow<br />

– Plan comparison<br />

– Plan evaluation<br />

– Review & Approval tasks<br />

– Quality Assurance of patient plan


Standards in Radiation Oncology<br />

• New and evolving standards in RO require managing the<br />

data flow between systems<br />

• The IHE-RO initiative is defining profiles and actors to<br />

support a multi-vendor approach<br />

• Using <strong>MOSAIQ</strong> as a single centralized database supports<br />

the implementation of standards in an “open systems”<br />

environment


Standards compliance RTP<br />

• To support the IHE-RO profiles & actors, <strong>MOSAIQ</strong> RTP<br />

– Provides modules as services which correspond to IHE-RO<br />

definitions<br />

– Contour (<strong>MOSAIQ</strong> Anatomy)<br />

– Geometric Planning (<strong>MOSAIQ</strong> Simulate)<br />

– Dose Calculation (<strong>MOSAIQ</strong> Dose)<br />

– Optimization (<strong>MOSAIQ</strong> Optimize)<br />

– Plan Review (<strong>MOSAIQ</strong> Evaluate)<br />

• To support the HIPAA requirements<br />

– <strong>MOSAIQ</strong> tracks who viewed/edited patient data, when, and where<br />

• To support the IEC 62083 states<br />

– <strong>MOSAIQ</strong> can ensure Anatomy & Plan approvals


Workflow Concept<br />

Activity 1<br />

Activity 3<br />

Activity 4<br />

Activity 2<br />

• Import Volume<br />

• Create Contours<br />

• Review/Approve Contours<br />

• Compute Dose<br />

• Review Dose<br />

Actor::Contourer<br />

Actor::Contour<br />

Reviewer<br />

Actor::Dose<br />

Evaluator<br />

Actor::Dose<br />

Reviewer<br />

Agent::ABAS<br />

Agent::Anatomy<br />

Agent::Evaluate<br />

Agent::MSQ Dose<br />

Viewer


<strong>Clinical</strong> Workflow <strong>Manager</strong><br />

Patient Activity 1 Activity 2 Activity 3<br />

Doe, Jane X<br />

Jones, Bob X<br />

Smith, John X


Data integrity and fidelity<br />

• The amount and complexity of data in RO is ever<br />

increasing<br />

– Multi-modality image data (CT, MR, PET, US, SPECT, etc)<br />

– Complex IMRT and VMAT treatment plans<br />

– Images from 2D and 3D ….. now 4D IGRT<br />

• Data dependencies<br />

– Update dose and DVH with change of Structure contour(s)


Centralized data management<br />

• <strong>MOSAIQ</strong> is a paperless and filmless patient EMR that can<br />

– store a single copy of any and all patient data in 1 location<br />

– manage the distribution of data to systems from difference<br />

vendors<br />

– alert and resolve data conflicts<br />

– example, manually drawn contours with automatic segmentation<br />

results (CMS ABAS)<br />

– send data to a workstation to meet performance requirements<br />

– Example - chart rounds (act as a local cache)<br />

– archive all data after therapy completion to a location such as the<br />

<strong>MOSAIQ</strong> Oncology PACS


Quality Assurance<br />

• A process that involves more than a single actor with data<br />

moving between systems from different vendors is<br />

hazardous if it relies only on human interaction and is<br />

therefore probably not fault tolerant


Benefit – Quality Assurance<br />

• Before the treatment plan is delivered to the patient<br />

– it must be reviewed and approved by a Physician<br />

– checked by a Medical Physicist<br />

– exported to the <strong>MOSAIQ</strong> EMR for delivery<br />

– and in some cases, patient plan specific Q.A. must be made<br />

• Workflow management in the EMR can offer<br />

– comparison of the DICOM RT PLAN from the RTP system with<br />

the treatment intent<br />

– this should reduce/remove mapping errors between systems<br />

– This is a closed loop approach – start and finish plan in EMR<br />

– Automated list of changed fields per week for checks


RTP Research<br />

• Academic (University clinics) centers often wish to try<br />

new processes and clinical trials using commercial<br />

products<br />

• Tailoring these systems to new requirements has in the<br />

past required significant software engineering skills<br />

– popular example is Pinnacle3 scripting


Process flow customization<br />

• The <strong>Clinical</strong> <strong>WorkFlow</strong> <strong>Manager</strong> in <strong>MOSAIQ</strong><br />

– will recognize that not all clinics are the same, work the same<br />

way, and have the same clinical goals<br />

– will offer clinics the possibility to start with an existing Protocol<br />

and modify the process steps to meet local needs<br />

– data can be input without a requirement to understand the SQL<br />

database schema or software engineering<br />

– Examples could be ASCII text or XML strings


CART Nordic collaborative project


Data communication flow<br />

• CART process flow diagram integrates<br />

– Basic Patient Data<br />

– Laboratory results<br />

– Diagnostic images<br />

– Therapeutic images<br />

– Treatment reference data<br />

– Treatment documentation data<br />

– Radiation reference data<br />

• CART process starts with fluoroscopic simulation and<br />

ends with treatment delivery<br />

– Delivery system with IGRT provides adaptive therapy strategy


Conclusions<br />

• Treatment Planning Systems can be connected to a<br />

centralized Electronic Medical Record to support process<br />

management (clinic workflow)<br />

– There are many benefits to this integration, including:<br />

– Reproducible treatment planning from protocols and templates<br />

– A single storage location for all patient and plan data<br />

– Comparison of created treatment plans with physician intent<br />

– Efficiency of staff with knowledge of planned tasks and activities<br />

– Knowledge of the state of data (i.e. approval)<br />

– This workflow efficiency will be required to support increased<br />

workload for Adaptive RT (Dose Guided RT) feedback loops


Adaptive Radiation Therapy Framework:<br />

Anatomy and Dose Tracking<br />

• Presented at IMPAC Radiation Oncology User Meeting,<br />

ASTRO 2007 by:<br />

• Qiuwen Wu, Ph.D.<br />

– Staff Physicist<br />

– William Beaumont Hospital<br />

– Royal Oak, MI, USA


<strong>Clinical</strong> Infrastructure for Image Guided<br />

Adaptive Radiation Therapy (IGART)<br />

• Online Volumetric Image/Correction Monitoring<br />

– Volumetric Imaging of patient at treatment position<br />

– Couch position & MLC beam aperture correction<br />

– Real time capture of machine geometry and output (MU & MLC)<br />

• Anatomy Tracking/Feedback<br />

– Auto deformable organ registration/segmentation<br />

– Parametric and sample estimation for anatomical variation<br />

• Dose Tracking/Feedback<br />

– Daily and cumulative dose construction and estimation<br />

– Treatment evaluation and plan modification decisions<br />

• Adaptive Modification<br />

– Online or offline 4D adaptive planning<br />

– Treatment schedule control and adjustment


Patient Anatomy/Dose Tracking &<br />

Feedback Control Process for IGART<br />

4D<br />

Adaptive<br />

Planning<br />

Ref Plan<br />

Treatment<br />

Evaluation &<br />

Modification<br />

Decisions<br />

(CBCT Linacs)<br />

Patient Setup<br />

Dose Delivery<br />

Machine<br />

MU/MLC<br />

Output<br />

Treatment Dose<br />

(daily &<br />

cumulative)<br />

Construction<br />

CB Image<br />

Position<br />

Correction<br />

Segmentation<br />

&<br />

Registration


WBH IGART Prototype<br />

CT, MRI, PET<br />

Scanners<br />

Data Storage<br />

HD: 30TB<br />

1 Gbps network<br />

Linac<br />

CB<br />

Imager<br />

Derived Data<br />

(Contour,<br />

Displacement,<br />

Plan, Dose, ...)<br />

Data Monitor<br />

Job Controller<br />

Job Queues<br />

and Dispatch to<br />

Target Server<br />

Specific<br />

(High priority)<br />

Job Request<br />

Treatment/Plan<br />

Modification<br />

Segmentation/Registration<br />

...<br />

...<br />

Job i<br />

Job i+1<br />

...<br />

Treatment Dose Construction<br />

...<br />

Job i<br />

Job i+1<br />

...<br />

4D Adaptive Planning<br />

...<br />

Job i<br />

Job i+1<br />

...<br />

User Review<br />

Evaluation Job Execution<br />

Log<br />

QA<br />

Evaluation<br />

Station


Imaging & Treatment Calendar<br />

• A schedule for localization imaging, treatment delivery,<br />

then for the activity of potential plan adaption


Summary<br />

• Image guidance generates vast amount of information<br />

stored in electronic medical records. It is challenging to<br />

effectively use these information<br />

• Patient anatomy/dose tracking and feedback control<br />

process provides a foundation and an integrated solution<br />

to manage adaptive radiotherapy for optimal individual<br />

patient treatment<br />

• This process also provides a systematic means for<br />

treatment evaluation, quality assurance, proper tumor<br />

registry and clinical outcome analysis

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