Commissioned Research
Top 10 Best Treatment Planner Software of 2026

GITNUXSOFTWARE ADVICE

Healthcare Medicine

Top 10 Best Treatment Planner Software of 2026

Compare treatment planner software options with tradeoffs for clinics and care teams, including SimplePractice and PIMSY.

19 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Treatment planner software matters because care plans require structured documentation, version control, and audit-ready changes that planning staff and clinicians can execute inside one workflow. This comparison helps operators and technical evaluators weigh tradeoffs between specialized planning engines and broader EHR care-plan modules, including integration and configuration paths that affect throughput.

PIMSY is the best pick for clinical teams that need repeatable inverse planning and steadier evaluation outputs across planners because its template-driven workflow standardizes how prescriptions and constraints are applied through repeated plan iterations, whereas WebPT fits outpatient PT teams that want goal tracking tied to visit-ready care plan updates since plan creation and progress measurement stay in the same workflow.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

PIMSY

Template-driven planning workflow that standardizes prescription and constraint application across repeated plan iterations.

Best for: Fits when clinical teams need repeatable inverse planning setup and consistent evaluation outputs across planners.

2

Exym

Editor pick

Workflow-guided plan evaluation ties prescriptions to constraint checks and review outputs in one validation pass.

Best for: Fits when planning teams need consistent plan validation outputs around existing planning engines.

3

SimplePractice

Editor pick

Goal progress can be tracked against a treatment plan from within the client record workflow, connecting plan state to notes.

Best for: Fits when behavioral health teams need standardized treatment plans with goal tracking tied to notes.

Comparison Table

1
PIMSYBest overall
SMB
9.1/10
Overall
2
SMB
8.8/10
Overall
3
8.7/10
Overall
4
8.5/10
Overall
5
vertical specialist
8.1/10
Overall
6
7.7/10
Overall
7
enterprise
7.4/10
Overall
8
enterprise
7.1/10
Overall
9
enterprise
6.9/10
Overall
10
vertical specialist
6.6/10
Overall
#1

PIMSY

SMB

Mental health EHR with treatment planning and clinical workflow features.

9.1/10
Overall
Features9.1/10
Ease of Use9.0/10
Value9.2/10
Standout feature

Template-driven planning workflow that standardizes prescription and constraint application across repeated plan iterations.

PIMSY’s workflow model emphasizes consistent plan configuration from patient data to final plan review, with explicit places for prescriptions and constraints to be applied. Plan evaluation output is organized for per-plan comparison, which helps teams review differences across iteration cycles without reopening multiple disconnected views.

A key tradeoff is that teams get the most from PIMSY when they standardize planning templates and constraint libraries early. PIMSY fits use situations where multiple planners need consistent inverse planning setup for similar cases and where rapid iteration depends on repeatable configuration.

Pros
  • +Workflow-driven planning reduces variation between planners
  • +Template-based setup supports consistent inverse planning iterations
  • +Structured plan evaluation supports fast plan-to-plan comparison
  • +Export and interoperability oriented for clinical planning cycles
Cons
  • –Effective use depends on up-front template and constraint governance
  • –Some advanced custom planning flows require deeper workflow mapping
  • –Iteration speed can hinge on how consistently templates are applied
  • –Interoperability outcomes depend on site-specific downstream compatibility
Use scenarios
  • Radiation oncology planning teams

    Standardize inverse planning iterations

    Fewer setup mistakes across cases

  • Clinical operations leads

    Control planning variation at scale

    More predictable plan quality

Show 1 more scenario
  • Physicists and dosimetrists

    Compare plan evaluation outputs

    Faster decision on best plan

    Physicists review structured evaluation outputs to compare iterations during plan robustness checks.

Best for: Fits when clinical teams need repeatable inverse planning setup and consistent evaluation outputs across planners.

#2

Exym

SMB

Treatment planning and documentation software for behavioral health providers.

8.8/10
Overall
Features8.8/10
Ease of Use8.8/10
Value8.8/10
Standout feature

Workflow-guided plan evaluation ties prescriptions to constraint checks and review outputs in one validation pass.

Exym is positioned for treatment planners who need repeatable plan review outputs tied to defined prescriptions and constraint sets. It supports DVH-driven evaluation and plan metrics so planners can compare plans against stated dose objectives during sign-off workflows. Export paths support clinical interoperability needs such as RT structure and dose artifacts needed for downstream review.

A key tradeoff is that deep model customization and engine-level control depend on how Exym is integrated with existing planning engines and data sources. Exym fits best when a clinic already has a planning engine and wants a consistent criteria-check and documentation layer around each plan generation run.

Pros
  • +DVH-centric evaluation ties plan metrics to declared dose objectives
  • +Prescription and structure handling supports consistent plan documentation
  • +Workflow outputs support clinical handoff and review cycles
  • +Interoperability-oriented exports reduce friction in downstream steps
Cons
  • –Deep optimization parameter control depends on connected planning engines
  • –Advanced automation requires careful integration planning and governance discipline
  • –Complex multi-dataset studies can increase review workload
  • –Granular customization of evaluation rules may require admin effort
Use scenarios
  • Radiation oncology planning teams

    Constraint-driven plan sign-off workflow

    Faster consistent approvals

  • Medical dosimetrists

    Plan comparison across iterations

    More repeatable selection

Show 1 more scenario
  • Clinic physics administrators

    Interoperable export for review

    Less rework between tools

    Administrators standardize plan exports for downstream analysis and multidisciplinary review processes.

Best for: Fits when planning teams need consistent plan validation outputs around existing planning engines.

#3

SimplePractice

SMB

Practice management software with treatment planning for mental health and wellness providers.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Goal progress can be tracked against a treatment plan from within the client record workflow, connecting plan state to notes.

SimplePractice creates and manages clinical treatment plans inside its client record, with templates and goal tracking tied to sessions and progress notes. It supports structured plan elements, custom fields, and workflows for assigning tasks to specific staff members.

The software also handles document workflows for storing plan-related materials and generating client-facing summaries from structured data. Reporting focuses on plan status, goal progress, and outcomes captured in notes rather than radiotherapy-specific plan evaluation.

Pros
  • +Treatment plan templates stay consistent across clinicians and programs
  • +Goal progress links to sessions and progress notes within client records
  • +Task assignments map to staff roles for plan maintenance
  • +Document workflows keep plan-related references centralized
Cons
  • –No native support for DVH, beam modeling, or plan robustness analysis
  • –Automation depth is limited beyond internal tasks and workflow templates
  • –Cross-system data exchange depends on external integrations
  • –Advanced governance like audit log granularity may not meet larger org needs
Use scenarios
  • Outpatient therapy practices

    Maintain consistent treatment plan templates

    More consistent plan documentation

  • Clinical operations managers

    Assign plan tasks to staff

    Fewer missed plan tasks

Show 2 more scenarios
  • Behavioral health clinicians

    Track goals through progress notes

    Clearer progress visibility

    Clinicians record session progress that rolls into goal tracking and plan status for each client.

  • Client communications staff

    Generate client plan summaries

    Reduced manual summary work

    Staff produce client-facing summaries from structured plan data stored with the treatment plan.

Best for: Fits when behavioral health teams need standardized treatment plans with goal tracking tied to notes.

#4

ClinicTracker

SMB

Clinic management software with treatment planning for mental health clinics.

8.5/10
Overall
Features8.5/10
Ease of Use8.5/10
Value8.5/10
Standout feature

Care-plan templates tied to patient visit history, so planning changes appear in the same workflow.

ClinicTracker supports planning teams that need repeatable documentation and visit-linked execution. Care plans can be templated and reused across patients, which reduces planning drift when the clinic repeats the same regimen structure. Task and note capture are aligned to the patient timeline so planning updates become part of the ongoing visit record.

Pros
  • +Visit-linked care plans keep planning updates tied to real appointments
  • +Reusable plan templates reduce variation across clinicians
  • +Task tracking supports follow-up without extra spreadsheets
  • +Role-based access controls help restrict who can edit patient plans
Cons
  • –Not designed for radiotherapy plan optimization or DVH-style evaluation
  • –APIs and automation hooks are not a primary strength versus planning apps
Use scenarios
  • Front desk and care coordinators

    Plan and track follow-ups

    Fewer missed follow-up actions

  • Clinic operations teams

    Standardize plan documentation

    More consistent plan records

Show 2 more scenarios
  • Clinical directors

    Control access to plan edits

    Tighter governance of planning

    Role controls limit who can modify plans and who can only view them.

  • Nurse-led care teams

    Update plans during visits

    Faster plan updates

    Care updates live in the same visit workflow, reducing handoff notes and rework.

Best for: Fits when clinics need structured, repeatable care planning and follow-up tasks.

#5

WebPT

vertical specialist

Physical therapy EMR and treatment planning platform for rehab therapy clinics.

8.1/10
Overall
Features8.1/10
Ease of Use8.0/10
Value8.2/10
Standout feature

Goal tracking and plan updates built into the care workflow, linking assessments to visit-ready documentation.

WebPT is a treatment planning workflow tool designed around physical therapy documentation, plan of care building, and appointment-ready clinical records. It focuses on converting clinical assessments into structured treatment plans used during patient visits.

Pros
  • +Care plan templates reduce repetitive plan creation across clinicians
  • +Goal tracking ties treatment activities to measurable outcomes
  • +Visit-ready plan documentation supports continuity between sessions
  • +Admin workflows help keep plan updates aligned with clinic standards
Cons
  • –Treatment planning depth is limited for radiation physics style planning tasks
  • –Advanced automation depends on configuration discipline and consistent documentation habits
Use scenarios
  • Physical therapy clinics

    Build plans of care from assessments

    Faster plan creation

  • Rehab documentation leads

    Standardize goals across clinicians

    More uniform care plans

Show 2 more scenarios
  • Practice administrators

    Control document workflows and access

    Tighter governance

    Admins apply role-based access to plan and document workflows across the practice.

  • Clinical reviewers

    Run plan review and updates

    Clearer plan revision history

    Review cycles help teams reassess and update plan details based on documentation.

Best for: Fits when outpatient PT teams need structured, repeatable care plan building and goal tracking.

#6

Klient SaaS

SMB

Treatment planning and case management for substance use disorder providers.

7.7/10
Overall
Features7.7/10
Ease of Use7.7/10
Value7.7/10
Standout feature

Configurable workflow steps that enforce protocol order for documentation, review, and signoff across planning roles.

Klient SaaS is treatment planner software aimed at coordinating clinical planning workflows around structured data capture and documentation. It emphasizes plan building steps, review records, and handoff readiness, with configurable steps that mirror clinic protocols.

Pros
  • +Protocol-aligned step configuration for consistent case documentation
  • +Role-based controls for planning, review, and signoff workflows
  • +Audit-friendly case history for tracking who changed what
  • +Structured exports for moving plans into downstream clinical processes
Cons
  • –Limited coverage for advanced physics planning functions compared with physics-first planners
  • –Automation depth depends on integration options rather than native orchestration
  • –Less suited for highly custom planning schemas without admin overhead
  • –Planning UI focuses on workflow steps more than iterative plan tuning
Use scenarios
  • Onboarding coordinators

    Configure planning steps by protocol

    Fewer protocol deviations

  • Quality and compliance teams

    Track review checkpoints per case

    Stronger documentation trail

Show 2 more scenarios
  • Clinical team managers

    Enforce role-based planning access

    Controlled plan changes

    Managers restrict editing and approvals using role-based permissions tied to plan workflow stages.

  • Handoff coordinators

    Prepare plans for downstream review

    Smoother plan handoffs

    Configurable handoff readiness steps ensure planning outputs meet review expectations.

Best for: Fits when clinics need governed planning documentation, review steps, and traceability across roles without replacing a physics planner.

#7

Meditab

enterprise

EHR platform with treatment planning modules across multiple specialties.

7.4/10
Overall
Features7.4/10
Ease of Use7.4/10
Value7.4/10
Standout feature

DVH-driven plan comparison workflow that keeps iteration review centered on clinically relevant dose summaries.

Meditab is a treatment planner software used by radiation oncology teams to build and evaluate radiotherapy plans. Its core workflow centers on structure set management, dose computation, and plan evaluation outputs used during clinical review.

Pros
  • +Clear planning workflow from structure handling to plan evaluation outputs
  • +DVH analysis supports fast comparison across iterative plan versions
  • +Supports DICOM-RT export for transferring plans between systems
  • +Plan evaluation metrics help standardize review steps across clinicians
Cons
  • –Automation for repetitive planning tasks depends on manual workflow steps
  • –Limited visibility into optimization internals for fine-grained QA reporting
  • –Configuration depth can slow onboarding for multi-site teams
  • –External integration breadth varies by the surrounding imaging and record system
Use scenarios
  • Radiation oncology physicists

    Compute dose and evaluate DVHs

    More confident plan selection

  • RT planners

    Manage structure sets for planning

    Cleaner input structures

Show 2 more scenarios
  • Clinical review boards

    Compare plan quality before approval

    Fewer review back-and-forth

    Reviewers use evaluation outputs and metrics to compare plans and select an approved plan.

  • Integration teams

    Exchange RT data between systems

    Reduced manual re-entry

    Teams transfer plan work using RT exchange formats to align planning and downstream recordkeeping.

Best for: Fits when clinics need consistent planning review artifacts and reliable DICOM-RT export between systems.

#8

Epic

enterprise

A comprehensive EHR platform with clinical documentation and care plan modules used across large healthcare systems.

7.1/10
Overall
Features7.1/10
Ease of Use7.0/10
Value7.2/10
Standout feature

Plan result and clinical documentation routing that keeps radiation oncology context inside Epic chart workflows.

Epic is a treatment-planning software option used by health systems that already standardize on Epic for clinical documentation and order workflows. It supports radiation oncology planning workflows by connecting planning artifacts to the broader EHR context instead of living only inside a standalone planning console.

Pros
  • +Tight coordination between oncology planning artifacts and chart workflows
  • +Care-team review flows align with how clinicians work inside Epic
  • +Reduced manual handoffs when documentation must match plan intent
  • +Governed access patterns integrate with existing Epic administration
Cons
  • –Planning-specific modeling depends on external radiation planning systems
  • –Advanced physics workflows receive less emphasis than EHR-centric documentation
  • –Automation depth for planning tasks is limited without linked systems
  • –Configuration for cross-system routing can require clinical IT governance discipline
Use scenarios
  • Health system oncology coordinators

    Route planning artifacts into EHR workflows

    Improved continuity of care

  • Radiation oncology care teams

    Coordinate treatment plan review

    Faster plan sign-off

Show 2 more scenarios
  • EHR operations staff

    Tie planning results to clinical context

    Better traceability

    Operations teams ensure treatment plan data stays linked to patient records and orders within Epic.

  • Planning departments

    Document plans for downstream continuation

    Reduced handoff gaps

    Planning teams record treatment plan details so downstream providers can continue therapy using EHR processes.

Best for: Fits when clinics need Epic-aligned coordination of radiation plans with documentation and care delivery.

#9

Welligent

enterprise

Cloud-based EHR with treatment planning for behavioral health and special education.

6.9/10
Overall
Features6.9/10
Ease of Use6.9/10
Value6.9/10
Standout feature

Configuration-driven planning and review templates that enforce consistent prescription and constraints checks.

Welligent is a treatment planner workflow tool used to plan, evaluate, and coordinate radiation therapy data between planning and clinical review steps. It differentiates with configuration-driven planning templates and decision check support that keeps plan documentation aligned with each clinic’s prescription and constraints.

Pros
  • +Template-based planning workflows reduce variation across planners
  • +Constraint and prescription checklists make plan review more consistent
  • +Documented plan artifacts support repeatable clinical signoff steps
  • +Configuration reduces rework when similar cases share the same regimen
Cons
  • –Advanced optimization controls are not the primary planning focus
  • –Automation relies on careful configuration governance for each site
Use scenarios
  • Radiation therapy workflow leads

    Configure plan templates for prescriptions

    More consistent plan setup

  • Plan evaluators

    Apply decision checks during review

    Fewer approval misses

Show 2 more scenarios
  • Clinic operations teams

    Standardize repeated plan types

    Reduced process variability

    Operations teams manage governance so recurring plan types follow the same operational steps.

  • Systems integration owners

    Exchange planning objects downstream

    Lower manual exchange work

    Integration owners coordinate object exchange so evaluation and recordkeeping stay synchronized.

Best for: Fits when clinics need repeatable planning checklists and documentation controls across multiple planners.

#10

Alleva

vertical specialist

An EHR and practice management platform for addiction treatment centers with treatment plan and clinical documentation tools.

6.6/10
Overall
Features6.6/10
Ease of Use6.6/10
Value6.6/10
Standout feature

Alleva’s reusable planning configuration model centralizes prescription, constraints, and review artifacts to keep teams aligned.

Alleva supports clinic treatment planning workflows by coordinating plan templates, prescription and constraint inputs, and downstream plan review artifacts. It focuses on structured planning tasks that can be reused across clinicians, with configuration options that reduce repeated manual data entry.

Pros
  • +Template-driven prescriptions and constraints reduce repeat data entry
  • +Saved planning configurations support consistent clinician execution
  • +Exports support handoff into external treatment planning and review steps
  • +Workflow structure supports multi-user review and signoff
Cons
  • –Limited coverage of advanced planning optimization and robust analysis engines
  • –Complex governance requires careful configuration to avoid template sprawl
  • –Integration depth depends on how existing planning systems exchange data
  • –DVH and plan-evaluation analytics are not the primary strength
Use scenarios
  • Radiation oncology coordinators

    Reuse plan templates across clinicians

    Less repeated manual entry

  • Clinical governance leads

    Run consistency checks on saved configs

    More consistent plan inputs

Show 2 more scenarios
  • Planning teams

    Export review artifacts to external systems

    Streamlined downstream review

    Teams send planning outputs to downstream tools to support review and recordkeeping workflows.

  • Prescription and constraints specialists

    Maintain constraint inputs per protocol

    Fewer constraint entry errors

    Specialists configure and apply constraint inputs that drive downstream review artifacts.

Best for: Fits when clinic teams need controlled planning templates and review artifacts across multiple clinicians.

Conclusion

After evaluating 10 treatment planner software, PIMSY stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
PIMSY

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Treatment Planner Software

How do Exym and PIMSY differ in standardizing plan validation outputs across planners?
Exym runs prescription mapping and constraint-driven evaluation inside an explicit planning workspace, so plan validation produces consistent review-grade outputs for handoff. PIMSY uses a template-driven inverse planning workflow that standardizes prescription and constraint application during repeated plan iterations, with evaluation outputs coming from that guided setup.
When does Welligent work better than Klient SaaS for governance of multi-role planning checkpoints?
Welligent fits teams that need configuration-driven planning templates plus decision check support aligned to clinic prescription and constraints during planning and review steps. Klient SaaS fits when protocol order for documentation, review, and signoff must be enforced through configurable workflow steps and traceable role activity without replacing a physics planner.
Which tool is better for PT teams that need visit-ready treatment plans and goal tracking instead of radiotherapy optimization?
WebPT fits outpatient physical therapy teams because it builds plan of care from clinical assessments into appointment-ready records with goal tracking and review cycles. SimplePractice fits behavioral health teams with structured plans tied to sessions and progress notes plus client-facing summaries from stored fields, not radiotherapy-specific plan evaluation.
What breaks if a clinic expects DICOM-RT export and DVH-driven comparison from a workflow-first planner?
ClinicTracker is optimized for scheduling context, care-plan templates, and follow-up tasks, so it does not provide radiotherapy plan artifacts like DVH-based comparison workflows. Meditab is built around DVH analysis, plan evaluation metrics, and common RT exchange for moving work between systems, so radiotherapy comparison and DICOM-RT export depend on a planner that supports those artifacts.
How should admin controls and RBAC be evaluated when comparing Epic and Klient SaaS?
Epic focuses on routing treatment plan documentation and clinical context through Epic-centric chart workflows, so governance aligns to care-team coordination and operational object movement inside the EHR. Klient SaaS emphasizes role-based access and traceable activity across planning roles, so RBAC and auditability for planning documentation steps are central to the workflow.
How do integrations and APIs affect export and interoperability workflows in Exym versus Alleva?
Exym centers automation and data exchange around getting consistent plan criteria into and out of clinical processes, so integration needs are about sharing structured planning validation results. Alleva emphasizes exporting planning outputs for external systems and keeping team-level consistency checks using saved planning configurations, so integration is often evaluated around how those configuration-linked artifacts travel to downstream review.
Which tool supports template-driven replanning iterations with less manual repetition: PIMSY or Welligent?
PIMSY reduces manual repetition for iterative replanning by using template-driven plan setup tied to constraint handling and repeatable plan evaluation outputs. Welligent reduces inconsistency by enforcing configuration-driven planning and review templates, with decision checks that align documentation and prescription constraints across planners.
When does data migration matter most, and which tools are likely to constrain migration work?
Data migration matters most when clinics must preserve prescription mappings, constraint sets, and planning documentation continuity across cases and planners. Exym and Meditab constrain migration work less when existing workflows already depend on repeatable plan evaluation artifacts like constraint checks and DVH summaries, while Epic may constrain migration due to chart-context routing requirements across the EHR object model.
Where does extensibility differ between Klient SaaS and Exym for adding clinic-specific planning documentation steps?
Klient SaaS supports extensibility through configurable workflow steps that mirror clinic protocols, so additional documentation, review, and signoff steps can be expressed as workflow configuration. Exym focuses extensibility on workflow-guided plan validation steps tied to prescription and constraint evaluation outputs, so additions typically extend the validation and review process rather than general documentation orchestration.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Treatment Planner Software

In treatment planner software, the real differences show up in how well a planner can turn clinical intent into consistent plans and how traceable those plans are after edits. We focus on Dose workflow review, Structure handling reliability, and Automation and API surface so the tool stays controllable as your cases and teams change.

Plan versioning and audit trail

Why it matters

With plan versioning and audit trail, we can reproduce what changed between an earlier and current plan. That matters when plans get reworked for new constraints, targets, or peer-review notes.

How to check

During a demo, create a plan, save a copy, and modify one setting (like a prescription or target). Then locate where the tool records the change author/time and whether you can compare versions side by side.

Structure import and contour editing reliability

Why it matters

Structure import and contour editing reliability affects whether the same anatomical boundaries survive across cases and team members. When contours drift or merge incorrectly, the entire plan quality effort gets undermined.

How to check

Try importing a case with multiple structures, then re-run planning or export to confirm nothing silently changes. Ask the demo team to show editing tools and how they prevent or flag invalid edits (gaps, overlaps, or missing structures).

Dose workflow and plan review outputs

Why it matters

Dose workflow and plan review outputs help clinicians verify that the delivered plan matches intent before it leaves planning. Better review views reduce back-and-forth during physician approval.

How to check

In the workspace, switch between dose review screens and ensure the tool clearly shows the current prescription context and key summaries. Export the review package and confirm it includes the same information you used during approval.

Prescription mapping across plans

Why it matters

Prescription mapping across plans matters when a planner team uses templates and updates between cases. If mapping is inconsistent, identical prescription wording can generate different dose targets.

How to check

Set up a prescription, apply it to two similar cases, then change only one prescription parameter (e.g., dose or fractionation). Verify that the dose goals and displayed prescription line remain consistent with the parameter you changed.

Automation and API surface for templates

Why it matters

Automation and API surface for templates reduces manual steps when case types repeat. It also gives admins control over configuration and repeatability without re-teaching planners each time.

How to check

Ask for a sample workflow that applies a planning template across cases via script or API. Confirm which fields are configurable (structures selection, targets, prescriptions, and output naming) and whether runs create logged job records.

Red flags

  • The audit trail is shallow—changes aren’t clearly attributed or are hard to compare
  • Structure edits can be made without warnings, or re-import silently alters boundaries
  • Review outputs don’t match what clinicians see during approval or exports omit key context

Fit by situation

  • If our team regularly revises plans after peer review, prioritize Plan versioning and audit trail.
  • If we import many external cases with varying structures, prioritize Structure import and contour editing reliability.
  • If we standardize planning with repeating templates, prioritize Automation and API surface for templates.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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