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Healthcare MedicineTop 10 Best Patient Information Software of 2026
Top 10 Patient Information Software ranked by features and deployment. Includes PatientPoint, ScreenMan, and Epic MyChart comparisons.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
PatientPoint
Patient intake and instruction configuration tied to appointment workflow events via API updates.
Built for fits when healthcare teams need governed, API-connected patient information workflows without custom buildouts..
ScreenMan
Editor pickRole-based access control tied to a schema-driven patient information data model.
Built for fits when care teams need governed patient documentation with API-based integrations..
Epic MyChart
Editor pickEpic’s workflow-synchronized patient messaging and request handling uses Epic backend entities.
Built for fits when organizations want governed patient communication tied to Epic workflow data..
Related reading
- Healthcare MedicineTop 10 Best Patient Information System Software of 2026
- Data Science AnalyticsTop 10 Best Patient Database Software of 2026
- Healthcare MedicineTop 10 Best Patient Medical Record And History Software of 2026
- Customer Experience In IndustryTop 10 Best Healthcare Patient Engagement Services of 2026
Comparison Table
PatientPoint
patient displayDigital patient information displays and pre-visit content delivery integrate with healthcare workflows and enterprise systems for in-room and pre-arrival messaging.
Patient intake and instruction configuration tied to appointment workflow events via API updates.
PatientPoint routes patient information from clinic workflows into patient communications using a schema-driven configuration approach for forms, instructions, and content variants. Automation covers event-triggered changes tied to scheduling and care processes, with API access used for provisioning data and syncing updates. The integration depth is most visible when clinics already standardize appointment metadata and patient instructions across systems.
A key tradeoff is that the data model requires upfront mapping to clinic content types and patient workflow steps, which adds configuration effort before high throughput starts. PatientPoint fits best when teams need consistent patient instructions at scale across locations that share a common workflow pattern. Governance is strongest when role-based access and auditability are enforced for content owners and administrators.
- +API-driven sync for patient instructions and appointment context
- +Configuration supports schema-like content variants across locations
- +Automation triggers reduce manual updates to patient information
- +RBAC-style governance supports role separation for content admins
- –Initial content and workflow mapping increases setup time
- –Complex clinic-specific logic may require more admin configuration
- –Integration throughput depends on upstream scheduling data quality
Clinic operations teams
Send standardized pre-visit instructions automatically
Fewer missed steps before visits
Healthcare IT integration teams
Provision patient data via API
Lower manual data entry
Show 2 more scenarios
Multi-location administrators
Control location-specific content variations
Consistent policy with local details
Configuration governance supports role-based updates for clinic and location instruction content.
Compliance and governance owners
Audit configuration changes to patient content
Reduced risk from unauthorized edits
Admin governance patterns support controlled publishing of patient-facing information with traceability.
Best for: Fits when healthcare teams need governed, API-connected patient information workflows without custom buildouts.
More related reading
ScreenMan
patient displayHospital and clinic patient information and experience software manages TV-based content, messaging, and service workflows with administrative controls.
Role-based access control tied to a schema-driven patient information data model.
ScreenMan fits teams that need consistent patient data across multiple departments and recurring processes. The data model focuses on fields and forms that can be provisioned to match local workflows and documentation requirements. Integration depth is centered on API and extensibility points that let systems exchange patient-related records and status updates. Admin and governance controls are geared toward RBAC and traceable changes.
A tradeoff is that schema changes require a structured workflow for provisioning rather than ad hoc edits at runtime. ScreenMan works best when a department can define stable field mappings and automation rules, then iterate through controlled configuration. It is a strong fit for clinics standardizing intake, consent, and care-plan documentation across care teams.
- +Schema-driven patient capture improves consistency across departments
- +RBAC and audit log support controlled access and traceable changes
- +Provisioning and automation reduce manual re-entry between steps
- +API surface supports integration with external clinical and admin systems
- –Field and schema updates require controlled provisioning workflows
- –Automation depends on predefined data model structure and mappings
EHR-adjacent clinic operations
Standardize intake and consent workflows
Consistent records across shifts
Health IT integration teams
Sync patient status to downstream systems
Lower manual handoffs
Show 2 more scenarios
Clinical governance leads
Track changes for compliance review
Audit-ready documentation trail
ScreenMan applies admin controls with auditability to support review of who changed what and when.
Care coordination teams
Coordinate care-plan updates
Fewer missing care steps
ScreenMan ties automation rules to structured fields so care steps update with fewer errors.
Best for: Fits when care teams need governed patient documentation with API-based integrations.
Epic MyChart
portalPatient portal information delivery and patient instructions are modeled through structured clinical content workflows that integrate tightly with Epic record systems.
Epic’s workflow-synchronized patient messaging and request handling uses Epic backend entities.
Epic MyChart’s integration depth comes from using Epic’s internal record schemas and workflow status signals to render patient views, rather than relying on loose document feeds. The automation surface is expressed through configurable patient-facing features and workflow state transitions controlled in Epic, supported by an API approach that routes actions to the correct backend entities. Governance controls typically include role-based access through Epic’s RBAC model plus auditing of patient data access and messaging events within Epic’s logging infrastructure.
A tradeoff appears in extensibility and throughput planning, because customization usually stays within Epic’s supported configuration and extension points instead of arbitrary external logic. MyChart fits well when care teams need consistent patient information tied to the same source of truth used by inpatient and ambulatory operations, especially for multi-site organizations standardizing patient communications.
- +Clinical-record mapping keeps patient views consistent with Epic source data
- +Workflow-driven automation aligns messaging and requests to backend states
- +RBAC and audit logging support governed access to patient-facing content
- –External customization is constrained by Epic-supported extension patterns
- –High dependency on Epic data schemas can slow off-cycle integration changes
- –Throughput tuning may require deeper coordination with Epic integration services
Ambulatory operations teams
Standardize results release and patient requests
Fewer mismatches in patient updates
Healthcare IT integration teams
Expose patient data via Epic APIs
Consistent patient information
Show 2 more scenarios
Care coordination groups
Route secure messages to workflows
Clear ownership for follow-ups
Secure messaging actions map to configured backend processes for triage and follow-up tracking.
Compliance and governance teams
Enforce RBAC and audit patient access
Traceable patient data access
Governance relies on Epic RBAC plus audit logs for message and data access events.
Best for: Fits when organizations want governed patient communication tied to Epic workflow data.
Allscripts Patient Portal
portalPatient-facing information delivery and visit communications integrate with EHR data structures and support governed configuration for patient instruction content.
Care-team messaging within the portal that routes through established EHR workflow context.
Allscripts Patient Portal connects patient communications to clinical workflows managed across Allscripts EHR and related applications. The portal supports patient access to visit summaries, medications, and test results, with message-based engagement that aligns with care teams.
Integration depth depends on how Allscripts systems are provisioned for each site, since the portal reflects the underlying clinical data model and role assignments. Admins can govern access through application configuration and patient-specific authorization controls rather than custom UI scripting.
- +Built around the Allscripts clinical data model for consistent results and medication displays
- +Message-based patient engagement maps to existing care team workflows
- +Admin configuration enables role-based patient access tied to source records
- +Integration patterns fit established Allscripts deployments and shared identity workflows
- –Customization options are constrained by the portal schema and supported workflows
- –API and automation surface is narrower than portal-first vendors for custom integrations
- –Provisioning changes require coordination with underlying EHR roles and mappings
- –Extensibility depends on vendor-supported integration points rather than plug-in schemas
Best for: Fits when existing Allscripts EHR deployments need a governed patient portal tied to clinical data.
NextGen Patient Portal
portalPatient communications and information delivery workflows tie patient instructions and messages to scheduling and clinical data with administrative governance.
Patient portal messaging and notification automation connected to athena encounters and results.
NextGen Patient Portal delivers patient-facing registration, messaging, and record access tied to athenahealth scheduling and clinical workflows. The integration depth centers on athenahealth EHR and services data models, which reduces mapping drift across appointments, encounters, and results.
Automation relies on configurable notification rules and workflow handoffs inside the athena ecosystem. Extensibility is built around documented integration paths and an API surface that supports provisioning, data synchronization, and RBAC-aligned access patterns.
- +Deep coupling to athenahealth scheduling, encounters, and clinical results
- +API-oriented integration paths for patient identity and data synchronization
- +Configurable patient messaging and notification automation rules
- +RBAC-aligned access with governed roles for portal permissions
- –Integration breadth depends on athenahealth back-end data availability
- –Workflow automation hinges on athena configuration rather than portal-side coding
- –Custom data fields require careful schema alignment across systems
- –Throughput tuning for high-volume messaging needs tight governance
Best for: Fits when multi-site clinics need controlled patient access tied to athena workflows and API-based integration.
HCA Patient Portal Content
portalPatient-facing information delivery for hospitals is wired to appointment, care plans, and instructions with configurable templates and permission controls.
Role-aware publishing controls for patient-facing portal content
HCA Patient Portal Content fits organizations that need patient-facing content management with governance tied to clinical operations. It focuses on configurable portal content delivery and role-aware access patterns that align with patient experience workflows.
Integration depth centers on how portal content and supporting artifacts can map into existing enterprise systems through defined integration points. Automation is driven through controlled content updates and workflow-aligned publishing, with an admin layer designed for oversight.
- +Content governance supports controlled patient-facing updates
- +Role-aware access patterns reduce inadvertent exposure
- +Configurable content reduces reliance on code releases
- +Publishing controls support consistent patient experience
- –Limited visibility into external workflow automation mechanisms
- –API surface details are not sufficiently explicit for schema planning
- –Extensibility may require vendor collaboration for advanced needs
- –Automation throughput constraints are not documented for high-volume publish
Best for: Fits when patient-facing content changes must follow governance and align to operational workflows.
Nabla
patient communicationsPatient communication and education automation provides content schema management, templating, and operational controls for delivering patient information at scale.
Schema-driven patient data and workflow execution via API-first automation.
Nabla focuses on patient information workflows built around a formal data model and schema-driven integration. The system supports provisioning and RBAC controls tied to organizational governance for teams managing clinical and administrative data.
Automation is implemented through configurable workflows and an API surface designed for system-to-system operations and throughput. NABLA also provides an audit log capability to support traceability across configuration, data changes, and access events.
- +Schema-driven data model for consistent patient information across integrations
- +RBAC and provisioning support controlled access for clinical and admin teams
- +Documented API enables integration and automation with external systems
- +Audit log improves traceability for data and configuration changes
- –Workflow automation configuration requires careful schema alignment
- –Advanced governance setups can increase admin overhead
- –Integration depth depends on available connectors and data mapping
Best for: Fits when teams need schema-backed patient data, API automation, and auditable governance controls.
Aetion Clinical Evidence for Patient Materials
clinical contentEvidence-driven clinical content workflows support structured patient material generation and governance over clinical evidence inputs.
Evidence-to-patient document traceability through an evidence and content data model.
Aetion Clinical Evidence for Patient Materials is patient information software that connects clinical evidence to patient-facing materials using a structured evidence-to-content workflow. The core capabilities center on evidence management, material generation support, and controlled review processes for patient documents.
Integration depth is oriented around API access and extensibility hooks for connecting clinical content sources and downstream publishing systems. Automation and governance focus on repeatable configurations, role-based workflows, and traceability for material updates.
- +Evidence-to-material workflows with traceable source linkage and versioning
- +API and extensibility points for integrating content and publishing pipelines
- +Configurable review steps that reduce ad hoc editing of patient documents
- +Governance controls support role separation and controlled approvals
- –Schema customization requires careful governance to keep mappings consistent
- –Complex workflows can raise implementation effort for high-volume publishing
- –Automation is constrained by the available content model boundaries
Best for: Fits when teams need evidence-linked patient materials with governed workflows and API automation.
Sharecare
patient contentPatient-facing health content and coaching-adjacent education systems deliver information modules with configuration for consumer health engagement.
RBAC-backed access control with audit log records tied to patient information and program operations.
Sharecare delivers patient information software workflows tied to clinical and consumer data in healthcare settings. Integration depth is driven by its support for health data exchange, identity, and downstream use in care programs.
The data model emphasizes structured patient records and configurable program elements that administrators can align to organizational policies. Automation and API surface are geared toward provisioning patient data flows, handling operational events, and supporting RBAC-backed access to governed resources.
- +Supports health data exchange patterns for patient records and downstream use cases
- +Configurable schemas for patient information capture and program-specific fields
- +Provisioning and automation oriented around governed patient data flows
- +RBAC-style access controls paired with audit logging for administrative traceability
- –Integration breadth depends on mapping patient entities into Sharecare's data model
- –Automation coverage can require custom configuration for edge-case workflows
- –API extensibility appears constrained by predefined schemas and event types
- –Admin governance controls may be coarse for multi-tenant policy separation
Best for: Fits when care programs need governed patient data exchange with configurable schemas.
Klara
patient communicationsPatient instruction workflows and digital health communications provide templated education and operational automation for delivering patient information.
RBAC plus audit log tied to patient schema, mappings, and workflow configuration changes.
Klara fits teams that need patient information workflows with strict data governance and repeatable automation. It centers a defined data model for patient records and form-driven capture tied to configuration and provisioning.
Automation rules and integrations rely on an explicit API and extensibility hooks for connecting external systems and standardizing throughput. Admin controls cover RBAC and audit logging so changes to schema, mappings, and workflows remain traceable.
- +Documented API for patient and workflow data synchronization
- +Configurable data model with schema-level governance controls
- +Automation rules reduce manual routing and data re-entry
- +RBAC and audit log support controlled access and traceability
- –Complex schema changes require careful planning and change management
- –Higher integration depth increases implementation effort for legacy systems
- –Automation testing needs a defined sandbox-like workflow for safe rollout
- –Extensibility often depends on integration patterns that add operational overhead
Best for: Fits when regulated teams need governed patient data automation with an explicit integration API surface.
How to Choose the Right Patient Information Software
This buyer's guide covers PatientPoint, ScreenMan, Epic MyChart, Allscripts Patient Portal, NextGen Patient Portal, HCA Patient Portal Content, Nabla, Aetion Clinical Evidence for Patient Materials, Sharecare, and Klara. It focuses on integration depth, data model design, automation and API surface, and admin and governance controls across patient-facing content, messaging, and instruction workflows.
Readers get concrete evaluation criteria tied to named capabilities like schema-driven capture in ScreenMan and appointment-event API updates in PatientPoint. The guide also highlights common failure points like schema alignment overhead and constrained extensibility patterns in Epic MyChart and Allscripts Patient Portal.
Patient-facing content and instruction systems governed by clinical, scheduling, and evidence workflows
Patient Information Software delivers patient information through structured content, visit communications, and instruction workflows that tie to clinical records, appointments, encounters, or evidence inputs. These tools solve governance and consistency problems by using a defined data model and controlled publishing or messaging workflows instead of ad hoc document updates. PatientPoint and ScreenMan show two common shapes of this category where API-connected patient intake and schema-driven governance control patient-facing content across locations and departments.
Evaluation criteria for integration, schema design, automation surfaces, and governance controls
Integration depth determines whether patient instructions update from appointment events, encounter state changes, or evidence-to-material generation instead of relying on manual re-entry. Data model fidelity determines whether schema changes require controlled provisioning work like ScreenMan and Nabla or become hard dependencies like Epic MyChart tied to Epic backend entities.
Automation and API surface determines throughput for updates and how safely workflows can be extended using documented interfaces like PatientPoint, Nabla, and Klara. Admin and governance controls determine whether RBAC, audit logs, and provisioning workflows provide traceability for patient-facing content changes in regulated operations.
API-connected instruction updates tied to appointment workflow events
PatientPoint connects patient intake and instruction configuration to appointment workflow events via API updates so messaging stays aligned with scheduling context. This pattern reduces manual updates by binding content changes to operational events rather than editing static materials.
Schema-driven patient capture with RBAC and auditability
ScreenMan pairs schema-driven patient information capture with RBAC and audit log support so access and changes map to a governed data model. Nabla also uses a formal schema-driven model with RBAC, provisioning controls, and an audit log for traceability across configuration and data changes.
Extensibility aligned to enterprise integration patterns and backend workflow states
Epic MyChart relies on Epic workflow-synchronized patient messaging and request handling using Epic backend entities, which keeps patient views consistent with Epic source data. Allscripts Patient Portal and NextGen Patient Portal anchor automation and messaging to their EHR workflow context, which can narrow custom integration options to supported patterns.
Provisioning workflows that manage schema and configuration changes
ScreenMan and Nabla require controlled provisioning workflows for schema and field updates, which creates a governance checkpoint for content and data model changes. Klara similarly ties schema, mappings, and workflows to RBAC and audit logging so change management stays traceable during updates.
Evidence-to-material workflows with traceable source linkage
Aetion Clinical Evidence for Patient Materials connects clinical evidence to patient-facing materials using an evidence-to-content workflow with traceable linkage and versioning. This structure supports controlled review steps so patient documents reflect approved evidence inputs instead of untracked edits.
Automation throughput and safe change rollout mechanisms
Klara includes guidance for safe rollout via workflow testing that needs a sandbox-like workflow setup because automation rules connect to data model and mappings. PatientPoint notes that integration throughput depends on upstream scheduling data quality, so update volume and correctness depend on upstream operational inputs.
Integration-first selection framework for governed patient information delivery
Start with integration depth by listing the systems that must trigger updates, including scheduling, EHR records, encounter results, messaging, or evidence sources. Then validate that the tool’s data model and API surface match the required update semantics, including what updates can be automated versus what needs controlled provisioning. Finally, confirm governance controls by checking whether RBAC and audit log trace patient-facing content changes, workflow configuration changes, and access events.
Map the trigger events that must drive patient updates
If patient instructions must change when appointments move through workflow states, PatientPoint provides API-driven sync tied to appointment workflow events. If patient messaging must reflect Epic backend workflow entities, Epic MyChart aligns requests and messaging to Epic workflow states rather than relying on external triggers.
Fit the data model to the content and capture requirements
If consistency across departments requires schema-driven capture, ScreenMan uses a schema-driven patient information data model with RBAC tied to that model. If the organization manages patient data with formal schema and audit traceability, Nabla provides a schema-driven data model with workflow execution via API-first automation.
Validate API and automation surfaces before committing to workflow complexity
Check whether automation is event-driven and API-accessible like PatientPoint and Nabla, because automation depends on configured workflows and mappings in these products. If the workflow customization must stay within an EHR vendor’s extension patterns, Epic MyChart constrains external customization to Epic-supported integration architecture.
Plan for provisioning and governance overhead during schema changes
ScreenMan requires controlled provisioning workflows for schema and field updates, which makes governance explicit but adds setup effort. Klara and Nabla also tie governance to RBAC and audit log traceability for schema, mapping, and workflow configuration changes, so change management should be designed as a process.
Check audit traceability for both content and access changes
For regulated environments, verify RBAC and audit log coverage for configuration changes and access events, because ScreenMan and Nabla emphasize auditability for traceable changes. Sharecare and Klara also pair RBAC-style access with audit log records tied to patient information and program operations, which supports post-event accountability.
Which teams should buy Patient Information Software for governed patient communication and instructions
Different Patient Information Software tools center on different operational anchors like appointment events, EHR workflow state, evidence inputs, or schema-based capture. The right fit depends on where patient updates originate and how strictly content and data model changes must be governed. The segments below translate the best-fit scenarios from the reviewed products into concrete buying targets.
Operations and digital patient experience teams needing API-connected appointment-context instructions
PatientPoint fits teams that need governed patient information workflows without custom buildouts because it ties patient intake and instruction configuration to appointment workflow events via API updates. This also fits organizations that want automation triggers to reduce manual updates to patient information.
Governance-focused clinical operations teams needing schema-driven patient documentation with audit trails
ScreenMan fits care teams that need governed patient documentation with API-based integrations because it ties RBAC and audit log support to a schema-driven patient information data model. Nabla is a close alternative when a formal schema-driven model and audit log are required for API-first workflow execution.
Enterprises standardized on Epic workflows that require consistency with Epic backend entities
Epic MyChart fits organizations that want governed patient communication tied to Epic workflow data because messaging and request handling use Epic backend entities. This is the best match when the patient view must remain consistent with Epic record semantics even if customization is constrained to Epic extension patterns.
Clinics running Allscripts or athenahealth ecosystems that need portal access and message routing through EHR context
Allscripts Patient Portal fits existing Allscripts EHR deployments that require a governed patient portal tied to clinical data and care-team messaging routed through workflow context. NextGen Patient Portal fits multi-site clinics that need controlled patient access tied to athena encounters and results with notification automation connected to scheduling and clinical workflows.
Evidence and clinical content teams generating evidence-linked patient materials with controlled review
Aetion Clinical Evidence for Patient Materials fits teams that need evidence-to-patient document traceability because it links patient materials to evidence inputs through a structured evidence-to-content workflow. This segment also benefits from traceable versioning and configurable review steps that reduce ad hoc editing.
Practical pitfalls that cause integration delays or governance gaps in patient information programs
Patient Information Software implementations fail when event triggers are assumed but not supported, when schema changes are treated as simple edits, or when extensibility expectations exceed the integration architecture. The reviewed tools show these issues repeatedly through constraints around schema provisioning, dependency on EHR backend entities, and reliance on predefined data model boundaries.
Treating schema and field changes like one-off content edits
ScreenMan and Nabla require controlled provisioning workflows for field and schema updates, so planning must include governance steps rather than assuming rapid edits. Klara also expects careful planning for complex schema changes because RBAC and audit logging tie governance to schema, mappings, and workflows.
Assuming patient messaging can be freely customized outside backend workflow semantics
Epic MyChart constrains external customization to Epic-supported extension patterns, so off-cycle integration changes can slow if Epic data schemas must be extended. Allscripts Patient Portal also narrows API and automation surfaces for custom integration when compared with portal-first schema and API designs.
Designing automation around incomplete event coverage or unmapped upstream data
PatientPoint notes that integration throughput depends on upstream scheduling data quality, so missing or inconsistent scheduling fields can reduce correctness and volume. Nabla and Klara both depend on schema alignment for workflow execution, so automation can stall when mappings do not match the formal data model.
Overlooking audit traceability requirements for both access and configuration changes
Tools with RBAC and audit log tied to patient information and configuration changes like ScreenMan, Nabla, Sharecare, and Klara reduce governance blind spots. Skipping audit log validation can leave access and configuration edits insufficiently traceable for regulated review workflows.
How We Selected and Ranked These Tools
We evaluated PatientPoint, ScreenMan, Epic MyChart, Allscripts Patient Portal, NextGen Patient Portal, HCA Patient Portal Content, Nabla, Aetion Clinical Evidence for Patient Materials, Sharecare, and Klara using criteria tied to features, ease of use, and value. The overall rating is a weighted average in which features carry the most weight at forty percent while ease of use and value each account for thirty percent.
This editorial scoring emphasizes integration depth, schema and data model governance, automation and API surfaces, and administrative control behaviors because patient information delivery depends on those mechanics. PatientPoint separated from lower-ranked tools through its appointment-event instruction updates delivered via API-driven sync, which directly improved features and ease-of-use fit for governed patient workflow messaging.
Frequently Asked Questions About Patient Information Software
How do the tools differ in integration depth when patient-facing content must stay synchronized with clinical workflows?
Which platforms treat patient information as a schema-driven data model instead of free-text documentation?
What are the main approaches to SSO and access security across these patient information platforms?
How do admin controls work when governance requires changes to be traceable after deployment?
What data migration steps typically matter most when moving patient information into a new portal?
When automation must trigger on appointment events, which tools provide clearer workflow hooks?
Which platforms best fit care-team messaging needs where routing depends on clinical workflow context?
How does extensibility differ between patient record portals and evidence-to-material systems?
What common operational failure mode appears when teams configure patient forms and workflows without a strong data model?
How should teams choose between patient portal content management and patient record workflow management?
Conclusion
After evaluating 10 healthcare medicine, PatientPoint 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.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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