1. Introduction

Cronic Care, Inc. (“Cronic Care,” “Company,” “we,” “us,” or “our”) is committed to the responsible development, deployment, and use of artificial intelligence in healthcare.

Cronic Care develops an AI-Native Clinical Intelligence Platform designed to transform patient encounters and authorized clinical information into physician-ready documentation and actionable clinical intelligence.

Our platform combines artificial intelligence, clinical information processing, and intelligent AI agents to support healthcare professionals in documentation, clinical information review, reporting, and related workflows.

Cronic Care is designed to support healthcare professionals—not replace their professional judgment, clinical responsibilities, or decision-making authority.

This AI Transparency & Clinical Responsibility Policy (“Policy”) explains the role of artificial intelligence within the platform, its intended uses and limitations, physician oversight, and the responsibilities of healthcare organizations and authorized users.

2. Scope and Applicability

This Policy applies to the AI-assisted features and services offered through Cronic Care, including:

• Physician Documentation.
• AI-generated SOAP notes and clinical documentation.
• Assessment & Plan preparation.
• ICD-10 coding support.
• Clinical information extraction and organization.
• CareInsights™ clinical intelligence and reporting.
• Clinical Context and Report Recommendation Agents.
• Specialty-specific and disease-specific reports.
• Revenue-cycle documentation support.
• ResearchInsights clinical research documentation.
• Other AI-assisted capabilities introduced by Cronic Care.

This Policy applies to healthcare organizations, physicians, authorized healthcare professionals, clinical administrators, and other permitted users.

It supplements Cronic Care’s Terms of Use, Privacy Policy, HIPAA & Patient Data Protection information, applicable service agreements, and Business Associate Agreements.

3. Cronic Care’s Approach to Responsible Healthcare AI

Cronic Care’s approach to healthcare artificial intelligence is based on five principles:

• Physician Governance: Clinical professionals retain authority over documentation approval, medical interpretation, and patient care decisions.
• Transparency: AI-generated content should be recognizable as machine-generated or AI-assisted information until appropriately reviewed.
• Clinical Accountability: The responsible healthcare professional determines whether documentation and recommendations are accurate, appropriate, and suitable for clinical use.
• Patient Information Protection: Clinical information must be processed under applicable privacy, security, and contractual requirements.
• Continuous Improvement: AI systems should be evaluated, monitored, and improved to address performance limitations and emerging risks.

These principles guide the intended operation and responsible use of the platform.

4. Role of Artificial Intelligence

Cronic Care uses AI to assist with the processing, interpretation, organization, and presentation of authorized clinical information.

Depending on the service and available information, AI may:

• Process patient-physician conversations.
• Analyze transcribed clinical encounters.
• Extract relevant clinical observations.
• Identify documented symptoms and medical history.
• Organize medications, diagnostic findings, and treatment information.
• Prepare structured clinical documentation.
• Suggest relevant clinical classifications or codes.
• Identify potential documentation gaps.
• Recognize relationships across clinical information domains.
• Recommend applicable clinical intelligence reports.
• Prepare reports for authorized physician review.

AI-generated content is intended to assist healthcare professionals and must not be treated as an independently verified clinical conclusion.

5. AI-Assisted Clinical Documentation

Cronic Care’s Physician Documentation capability supports the preparation of clinical records from authorized encounter information.

Depending on the workflow, the system may generate:

• Chief Complaint.
• History of Present Illness.
• Relevant medical and surgical history.
• Medication information.
• Allergies, where documented.
• Review of Systems.
• Physical Examination findings, where provided.
• Assessment.
• Plan.
• Orders and referrals.
• Follow-up information.
• ICD-10 coding support.

The completeness and accuracy of generated documentation depend on the quality, availability, and clarity of the underlying information.

Cronic Care does not guarantee that AI-generated documentation will capture every clinically relevant detail or correctly interpret every statement.

The responsible healthcare professional must review and verify the documentation before approval or use as a finalized clinical record.

6. Patient Encounter Recording and Transcription

Cronic Care may process authorized patient encounters through audio capture and transcription technologies.

Speech recognition and transcription systems may produce errors resulting from:

• Background noise.
• Overlapping speech.
• Accents or pronunciation differences.
• Medical terminology.
• Incomplete recordings.
• Unclear statements.
• Speaker identification errors.
• Audio interruptions.
• Similar-sounding medication names or clinical terms.

A transcript may not perfectly reproduce the original conversation.

Healthcare organizations and authorized users are responsible for obtaining any legally required recording notices and consents.

Physicians should verify clinically important information before relying on it in approved documentation.

7. Clinical Information Extraction and Interpretation

AI may extract or organize information from transcripts, physician-approved notes, diagnostic reports, and other authorized clinical materials.

Potential limitations include:

• Missing information.
• Incorrect attribution.
• Misinterpretation of context.
• Failure to distinguish historical conditions from active conditions.
• Incorrect identification of medications or dosages.
• Confusion between planned and completed procedures.
• Misinterpretation of negated findings.
• Failure to recognize uncertainty.
• Incorrect interpretation of dates or clinical timelines.

Information extracted by AI should be checked against authoritative clinical records and other appropriate sources when necessary.

AI extraction does not independently establish that a medical fact is true.

8. AI-Generated SOAP Notes

Cronic Care may generate SOAP documentation using the conventional structure of:

• Subjective: Patient-reported symptoms, history, and concerns.
• Objective: Available examination findings, vital signs, laboratory results, and other documented observations.
• Assessment: Clinical conditions, findings, and assessments supported by the available encounter information.
• Plan: Documented or proposed care activities, orders, medications, referrals, and follow-up actions.

AI-generated SOAP content may contain omissions, inaccuracies, unsupported statements, or incorrect clinical interpretations.

A generated SOAP note is a draft until reviewed and approved by an authorized healthcare professional.

Generation alone does not constitute physician approval or authentication of the clinical record.

9. Physician Review, Editing, and Approval

Cronic Care supports physician-governed documentation workflows.

Depending on the enabled functionality, an authorized physician may:

1. Access generated clinical documentation.
2. Review the clinical information presented.
3. Identify inaccuracies or missing information.
4. Edit the documentation where necessary.
5. Confirm that the content appropriately reflects the encounter.
6. Approve the finalized documentation.

Physician approval represents an authorized workflow action. It does not eliminate the need for clinical accuracy or compliance with applicable documentation requirements.

The physician is responsible for determining whether the approved documentation is clinically accurate, complete, and appropriate for the patient encounter.

Cronic Care may maintain documentation versions and approval-related records to support workflow integrity and accountability.

10. Documentation Versioning and Auditability

Cronic Care may support documentation versioning and approval records.

Depending on system configuration, relevant information may include:

• Encounter identifiers.
• Documentation versions.
• Approval status.
• Approval timestamps.
• Authorized approving users.
• Whether documentation was edited.
• References to approved documentation.

These records may support operational traceability, authorized auditing, and documentation integrity.

The existence of an approval record does not independently prove the clinical correctness of the approved content.

Healthcare organizations remain responsible for maintaining medical records and audit trails in accordance with applicable laws, contracts, and professional requirements.

11. Physician Responsibility and Clinical Authority

Cronic Care does not practice medicine.

Cronic Care does not establish a physician-patient relationship by providing AI-generated documentation, reporting, or clinical information processing services.

Physicians and other licensed healthcare professionals remain responsible for:

• Diagnoses.
• Clinical assessments.
• Treatment decisions.
• Medication prescribing.
• Interpretation of diagnostic findings.
• Ordering tests and procedures.
• Referrals.
• Patient counseling.
• Follow-up decisions.
• Final medical record documentation.

No AI-generated output should override a healthcare professional’s independent clinical judgment.

Clinical decisions must be based on the patient’s circumstances, available medical evidence, applicable standards of care, and the professional judgment of the responsible clinician.

12. Human Oversight of AI Systems

Human oversight is a central principle of Cronic Care’s intended clinical workflow.

AI may prepare documentation, identify findings, or recommend reports, but authorized healthcare professionals determine how the information is used.

Human oversight may include:

• Reviewing generated content.
• Correcting inaccuracies.
• Rejecting unsupported conclusions.
• Evaluating report relevance.
• Confirming clinical findings.
• Determining appropriate patient care actions.
• Escalating concerns requiring further evaluation.

Automated processing must not be interpreted as a substitute for professional clinical review.

13. CareInsights™ Clinical Intelligence

CareInsights™ is designed to organize and analyze authorized clinical information and prepare relevant clinical intelligence for healthcare professionals.

Depending on the enabled capabilities, CareInsights™ may support:

• Patient Visit Insights.
• Diagnostic Reporting.
• Integrated Clinical Summaries.
• Patient-Friendly Reports.
• Specialty-Specific Reporting.
• Disease-Specific Reporting.
• Follow-Up and Care Action Reporting.
• Revenue-Cycle Documentation Support.

CareInsights™ is intended to help physicians identify, review, and act upon relevant information more efficiently.

Clinical intelligence reports are decision-support materials and do not independently establish diagnoses, medical necessity, treatment recommendations, or patient eligibility for services.

14. Intelligent AI Agents

Cronic Care may use intelligent AI agents to automate selected clinical information processing and reporting activities.

An AI agent is a software component that performs defined tasks using available information, instructions, decision logic, and AI processing.

Depending on configuration, agents may:

• Retrieve authorized documentation.
• Analyze clinical context.
• Identify relevant clinical domains.
• Recognize documented findings.
• Evaluate available reporting options.
• Recommend applicable reports.
• Prepare authorized reports.
• Organize information for physician review.

AI agents operate within the functionality, permissions, and technical controls established for the platform.

AI agents do not have independent medical authority and must not be treated as licensed healthcare professionals.

15. Clinical Context Analysis

Cronic Care’s Clinical Context Agent may analyze physician-approved documentation and other authorized information.

Its purpose is to identify relevant clinical context, which may include:

• Active medical conditions.
• Historical conditions.
• Symptoms.
• Medications.
• Diagnostic findings.
• Orders.
• Referrals.
• Follow-up information.
• Relevant clinical specialties.

Clinical context analysis may be incomplete or inaccurate if source information is missing, inconsistent, outdated, or ambiguous.

AI-generated context should not be interpreted as a definitive or independently verified representation of the patient’s complete medical history.

16. Report Recommendation Agents

Cronic Care may use AI agents to identify clinical intelligence reports potentially relevant to a particular encounter.

Recommendations may be based on:

• Documented medical conditions.
• Available clinical findings.
• Specialty relevance.
• Diagnostic information.
• Reporting criteria.
• Available report types.
• Other authorized clinical context.

Recommendations reflect the system’s analysis of available information.

They do not guarantee that a report is medically necessary, clinically appropriate, complete, or beneficial.

A recommendation to generate a report is not a recommendation to perform a medical procedure, prescribe treatment, or alter patient care.

17. Automated Report Generation

Following authorized workflow actions, Cronic Care may generate clinical intelligence reports using approved documentation and other permitted information.

Generated reports may contain:

• Summaries.
• Organized findings.
• Clinical observations.
• Potential documentation gaps.
• Relevant follow-up information.
• Coding-related documentation support.
• Other report-specific information.

Automated report generation does not constitute independent clinical validation.

Reports must be reviewed by an appropriately authorized healthcare professional before being relied upon for clinical decisions or incorporated into finalized medical records when such review is required.

18. AI Agent Autonomy and Limitations

Cronic Care may automate certain workflow activities without requiring a human to manually perform each processing step.

Such automation may include identifying applicable reports, organizing information, and initiating authorized processing activities.

However, operational automation does not confer clinical decision-making authority.

AI agents may:

• Select an inappropriate report.
• Fail to recommend a relevant report.
• Misinterpret clinical information.
• Generate incomplete summaries.
• Produce inconsistent findings.
• Repeat or omit information.
• Fail to recognize clinically important changes.

The absence of an AI-generated recommendation must never be interpreted as evidence that no clinical issue, risk, or follow-up need exists.

19. AI Limitations and Potential Errors

Artificial intelligence systems, including large language models and automated clinical information processing systems, may produce inaccurate or misleading outputs.

Potential limitations include:

• Hallucinated or fabricated information.
• Unsupported clinical statements.
• Incorrect medication names or dosages.
• Misidentified conditions.
• Inaccurate coding suggestions.
• Omitted findings.
• Incorrect timelines.
• Misinterpreted laboratory values.
• Failure to identify contradictions.
• Incorrect associations between clinical facts.
• Incomplete clinical summaries.
• Overconfident language despite uncertainty.

AI-generated content may appear authoritative even when it is incorrect.

Users must not assume that fluency, formatting, or apparent completeness establishes clinical accuracy.

20. Missing, Incomplete, or Conflicting Information

Cronic Care’s AI capabilities depend on the information made available to the system.

The platform may not have access to:

• The patient’s complete medical history.
• External medical records.
• All laboratory results.
• All diagnostic imaging.
• Recent hospitalizations.
• Updated medication lists.
• Specialist consultations.
• Information recorded outside the relevant encounter.

When information is incomplete or conflicting, AI-generated output may also be incomplete or unreliable.

Healthcare professionals are responsible for resolving clinically material discrepancies before relying on generated information.

21. Clinical Accuracy and Verification

Cronic Care does not guarantee that every AI-generated document, report, classification, or recommendation will be accurate, complete, or suitable for a particular clinical purpose.

Users should verify material information against appropriate clinical sources.

Verification is especially important for:

• Medication names and dosages.
• Allergies.
• Critical laboratory values.
• Diagnostic findings.
• Patient identifiers.
• Orders and referrals.
• Medical history.
• Treatment plans.
• Coding and billing information.
• Clinical recommendations.

Cronic Care’s AI output should be used as an aid to professional work rather than as the sole basis for clinical action.

22. Assessment and Plan Support

Cronic Care may prepare or organize Assessment & Plan information based on available encounter documentation.

Generated content may include documented assessments, proposed actions, follow-up information, and related clinical details.

Such content may require modification or rejection by the physician.

AI-generated Assessment & Plan information must not be interpreted as an independently authorized medical order or treatment instruction.

The responsible healthcare professional determines the final assessment and appropriate plan of care.

23. ICD-10 Coding Support

Cronic Care may provide ICD-10 coding assistance based on documented clinical information.

Coding suggestions are informational and may require professional verification.

Potential errors include:

• Incorrect code selection.
• Insufficient specificity.
• Unsupported diagnoses.
• Outdated code references.
• Inappropriate code sequencing.
• Misinterpretation of clinical documentation.

Cronic Care does not guarantee that suggested codes satisfy payer requirements, coding guidelines, reimbursement policies, or medical necessity standards.

Healthcare organizations remain responsible for final coding and billing compliance.

24. Revenue-Cycle Documentation Support

Cronic Care may generate information intended to assist with clinical documentation and revenue-cycle workflows.

This may include:

• Documentation summaries.
• Coding-related information.
• Identification of potentially relevant documented findings.
• Support for medical necessity documentation.
• Claims and billing summaries.

Such information does not constitute a guarantee of:

• Claim acceptance.
• Reimbursement.
• Coverage eligibility.
• Coding compliance.
• Medical necessity.
• Audit outcomes.
• Payer approval.

Final billing decisions and submissions remain the responsibility of the healthcare organization and its authorized professionals.

25. Specialty-Specific Clinical Intelligence

Cronic Care may support documentation and clinical intelligence across multiple medical specialties.

These may include Family Medicine, Internal Medicine, Cardiology, Oncology, Behavioral Health, Pain Management, and other supported specialties.

Specialty-specific AI processing may involve complex terminology, diagnostic relationships, and clinical context.

AI performance may vary by specialty, encounter type, documentation quality, and the availability of relevant information.

Specialty-specific outputs must be reviewed by appropriately qualified healthcare professionals.

26. Patient-Friendly Reports

Cronic Care may generate patient-friendly summaries intended to make clinical information easier to understand.

Such summaries may simplify terminology or reorganize information for readability.

Simplification can introduce risks of omission, ambiguity, or misinterpretation.

Patient-friendly reports should be reviewed for accuracy and appropriateness before distribution when required by the applicable workflow.

They do not replace direct communication between patients and their healthcare professionals.

27. Longitudinal Clinical Summaries

Cronic Care may organize information across multiple encounters or authorized clinical documents.

Longitudinal summaries may describe:

• Medical history.
• Changes in clinical conditions.
• Diagnostic trends.
• Medication history.
• Previous procedures.
• Clinical evolution.
• Follow-up activities.

These summaries depend on the completeness and reliability of available records.

A longitudinal summary may not represent the patient’s entire medical history.

Healthcare professionals should verify material historical and current information before relying on such summaries.

28. Clinical Research Documentation

ResearchInsights may support documentation and reporting associated with authorized clinical research activities.

Depending on the implementation, this may include:

• Research visit documentation.
• Protocol-related observations.
• Clinical information organization.
• Research documentation summaries.
• Physician-reviewed research records.

AI-generated research content does not replace investigator responsibilities, protocol requirements, Institutional Review Board oversight, informed consent, or applicable research regulations.

Cronic Care does not independently determine research eligibility, protocol compliance, or the validity of research findings unless a specific authorized function expressly provides such support and is appropriately validated.

29. Clinical Research and Regulatory Responsibility

Healthcare organizations, sponsors, investigators, and other responsible parties remain accountable for their respective research obligations.

These may include:

• Participant safety.
• Informed consent.
• Protocol compliance.
• Source data verification.
• Adverse event reporting.
• Regulatory submissions.
• Research record integrity.

AI-generated documentation should be validated according to applicable research requirements before use in regulated activities.

30. No Autonomous Diagnosis or Treatment

Cronic Care’s AI-generated outputs are intended for clinical information support and documentation workflows.

Unless a separately authorized, appropriately validated, and legally permitted capability is expressly provided, Cronic Care does not independently:

• Diagnose patients.
• Prescribe medication.
• Initiate treatment.
• Order procedures.
• Determine emergency interventions.
• Replace physician examination.
• Make final clinical decisions.

No automated workflow should be interpreted as granting AI independent authority to practice medicine.

31. No Emergency Medical Services

Cronic Care is not an emergency medical service.

The platform is not intended to provide emergency triage, continuous patient monitoring, or real-time emergency response.

Users must not rely on AI-generated documentation or clinical intelligence to identify or respond to every urgent or life-threatening condition.

Emergency situations require appropriate clinical intervention and emergency services.

32. Human Review of High-Risk Clinical Information

Certain categories of clinical information may carry elevated risks if inaccurate or misunderstood.

Examples include:

• Critical laboratory values.
• Serious medication interactions.
• Allergies.
• Acute symptoms.
• Oncology treatment information.
• Anticoagulation.
• Insulin management.
• Renal impairment.
• High-risk medications.
• Significant diagnostic abnormalities.

Healthcare professionals should apply appropriate review and verification procedures before using AI-generated information involving such matters.

AI-generated outputs should not substitute for established clinical safety processes.

33. AI Performance and Validation

Cronic Care recognizes the importance of evaluating AI system performance.

Appropriate evaluation activities may include:

• Reviewing documentation accuracy.
• Identifying omissions and unsupported statements.
• Testing clinical terminology recognition.
• Assessing coding support accuracy.
• Evaluating report relevance.
• Monitoring workflow failures.
• Reviewing specialty-specific performance.
• Evaluating changes to AI models and processing instructions.

Performance may vary across clinical scenarios, specialties, populations, and input quality.

The publication of this Policy does not constitute a representation that every AI capability has completed a particular regulatory validation, clinical study, or independent certification.

34. Bias, Fairness, and Clinical Equity

AI systems may reflect limitations or biases present in training data, source information, system design, or operational workflows.

Such limitations may affect performance across:

• Languages.
• Accents.
• Patient populations.
• Clinical specialties.
• Demographic groups.
• Documentation styles.
• Healthcare settings.

Cronic Care recognizes the importance of evaluating potential bias and reducing avoidable disparities in system performance.

Healthcare professionals should remain attentive to potentially inaccurate or inappropriate outputs affecting individual patients or populations.

35. Explainability and Source Information

Cronic Care aims to present clinical information in a form that healthcare professionals can review and evaluate.

Where supported, generated content may be associated with relevant source documentation or clinical context.

However, AI-generated explanations may not fully reveal the internal computational processes that produced an output.

A system-generated explanation should not be treated as proof that a conclusion is accurate.

Users should verify important conclusions against available clinical evidence.

36. Physician Approval and Subsequent AI Processing

Certain Cronic Care workflows may use physician-approved documentation as the starting point for additional clinical intelligence processing.

A typical workflow may include:

1. Patient encounter.
2. Authorized transcription.
3. AI clinical processing.
4. Draft clinical documentation.
5. Physician review and editing.
6. Physician approval.
7. Clinical context analysis.
8. AI agent report recommendations.
9. Authorized report generation.
10. Physician review of generated clinical intelligence.

The exact workflow depends on the enabled features and organization configuration.

Approval of the original SOAP note does not automatically establish the accuracy or approval of every subsequent AI-generated report.

Each downstream output remains subject to applicable review and authorization requirements.

37. AI-Generated Recommendations and Clinical Action

Cronic Care may identify findings or recommend documentation reports based on available clinical information.

These recommendations are intended to support review and organization.

They are not independent medical instructions.

The responsible physician determines:

• Whether a recommendation is relevant.
• Whether additional clinical information is required.
• Whether a report should be generated.
• Whether the report is accurate.
• Whether follow-up is clinically appropriate.
• Whether any patient care action should be taken.

Cronic Care does not guarantee that all relevant findings or reports will be identified.

38. Human Control Over Clinical Decisions

Cronic Care is designed around the principle that physicians retain control over clinical documentation and decision-making.

Human control includes the ability to review, correct, approve, or reject AI-generated content within the available workflow.

Healthcare organizations should establish appropriate policies for:

• Authorized review.
• Documentation approval.
• Clinical escalation.
• Correction of errors.
• User training.
• Oversight of AI-assisted workflows.

Physician approval is a governance control, not a guarantee that AI output is error-free.

39. Data Privacy and Confidentiality

Cronic Care may process sensitive clinical information in providing authorized services.

Such information may include:

• Patient encounter information.
• Transcripts.
• Clinical documentation.
• Diagnostic findings.
• Medication information.
• Medical history.
• Physician-approved records.
• Clinical intelligence reports.

Processing of this information is subject to applicable privacy laws, contractual requirements, and security obligations.

Where HIPAA applies, Cronic Care’s responsibilities are governed by its role and applicable Business Associate Agreements.

This Policy does not independently authorize secondary uses of PHI.

40. AI Model Training and Secondary Data Use

The use of clinical information for AI model training, evaluation, improvement, or other secondary purposes requires appropriate legal and contractual authority.

Cronic Care must not assume that permission to process PHI for clinical documentation also permits unrestricted use of that information for model training.

Any model-training or secondary-use activity must be evaluated under:

• Applicable privacy laws.
• Business Associate Agreements.
• Customer contracts.
• Relevant consent or authorization requirements.
• Data-use limitations.
• Appropriate de-identification standards, where applicable.

Cronic Care should accurately disclose its actual data-use practices in its Privacy Policy and customer agreements.

41. Third-Party AI Models and Infrastructure

Cronic Care may use third-party infrastructure, AI technologies, and service providers to support its platform.

Depending on the configuration, these may include:

• Cloud infrastructure.
• Speech transcription.
• AI model processing.
• Data storage.
• Authentication.
• Application processing.
• Security monitoring.

Third-party services may have distinct technical capabilities, contractual terms, and data-processing practices.

Cronic Care must evaluate appropriate safeguards and contractual requirements before permitting third parties to process sensitive clinical information.

Use of a third-party service does not independently establish HIPAA compliance or clinical suitability.

42. Information Security and AI Workflows

AI-assisted clinical workflows should operate within appropriate security controls.

Relevant safeguards may include:

• Authorized access restrictions.
• Authentication.
• Encryption.
• Audit logging.
• Secure data transmission.
• Data retention controls.
• Monitoring.
• Incident response procedures.
• Vendor security review.

The specific controls implemented depend on system configuration, applicable law, and contractual obligations.

Users must comply with applicable organizational security requirements.

43. Authorized Users and Access Responsibilities

Cronic Care’s clinical platform is intended for authorized users acting within their professional roles.

Healthcare organizations are responsible for determining which personnel may access particular patient information and platform functions.

Authorized users must:

• Protect account credentials.
• Access only permitted information.
• Follow applicable clinical and privacy procedures.
• Avoid unauthorized disclosure.
• Report suspected security incidents.
• Review AI-generated content appropriately.

Unauthorized access or misuse may result in access restrictions or other actions under applicable agreements.

44. Integration With Electronic Medical Records

Cronic Care may provide clinical documentation and reporting outputs for use with existing Electronic Medical Record (EMR) systems.

Depending on the available workflow, information may be transferred through approved documents, structured outputs, or authorized integrations.

Generation or approval within Cronic Care does not necessarily mean that information has been entered into, accepted by, or finalized within an external EMR.

Healthcare organizations remain responsible for ensuring that appropriate documentation reaches the correct patient record and complies with applicable medical record requirements.

45. Clinical Documentation Integrity

Healthcare organizations and authorized users should ensure that clinical records accurately reflect services provided and relevant patient information.

AI-generated documentation should not be used to:

• Fabricate services.
• Create unsupported diagnoses.
• Invent clinical findings.
• Misrepresent examinations.
• Generate false billing support.
• Document procedures not performed.
• Conceal clinically relevant information.
• Misrepresent physician involvement.

Users must correct material inaccuracies before approving or submitting clinical documentation.

46. Professional Standards and Applicable Laws

Healthcare professionals remain responsible for complying with applicable professional, ethical, licensing, documentation, and patient care requirements.

Cronic Care’s provision of AI-assisted tools does not modify those obligations.

Healthcare organizations are responsible for determining whether particular AI-assisted workflows are appropriate for their clinical setting and permitted under applicable laws and professional standards.

47. Regulatory Status and Intended Use

Cronic Care’s AI capabilities are described according to their intended documentation, clinical information processing, and reporting functions.

Certain healthcare AI software functions may be subject to regulatory requirements depending on their intended use, claims, capabilities, and deployment.

This Policy does not represent that Cronic Care or any particular feature has received FDA clearance, approval, certification, or exemption.

Cronic Care should evaluate applicable regulatory requirements as capabilities evolve, particularly if functions move beyond documentation and information support into diagnostic or treatment decision-making.

48. Monitoring, Errors, and Incident Reporting

Cronic Care recognizes the importance of identifying and addressing material AI-related errors.

Authorized users should report suspected problems involving:

• Incorrect documentation.
• Unsupported diagnoses.
• Missing critical information.
• Inaccurate medication details.
• Misleading clinical reports.
• Improper report recommendations.
• Unauthorized information access.
• Unexpected AI behavior.
• Potential patient safety concerns.

Reports should be evaluated according to their nature, urgency, and potential impact.

Healthcare organizations remain responsible for taking timely clinical action when an error may affect patient care.

49. Changes to AI Models and Features

Cronic Care may update its AI models, processing instructions, algorithms, workflows, and supported capabilities.

Such changes may affect:

• Documentation formatting.
• Clinical information extraction.
• Report recommendations.
• Output content.
• Processing performance.
• Available features.

Material changes should be evaluated for their potential effects on clinical accuracy, security, workflow compatibility, and user responsibilities.

Cronic Care may update relevant documentation and policies to reflect significant changes.

50. No Guarantee of Clinical Outcomes

Cronic Care does not guarantee that use of its AI-assisted Services will:

• Improve a particular patient’s health.
• Prevent medical errors.
• Identify every diagnosis.
• Detect every clinically significant finding.
• Produce complete clinical records in every case.
• Prevent adverse events.
• Ensure regulatory compliance.
• Secure reimbursement.
• Replace professional medical review.

Any performance representations are subject to the applicable service agreement and supporting evidence.

Healthcare professionals must exercise independent judgment when using the Services.

51. Allocation of Responsibilities

Cronic Care is responsible for performing its contractual obligations and complying with laws applicable to its role.

Healthcare organizations and authorized professionals retain their own legal and professional obligations, including those relating to clinical care, patient records, authorization, and appropriate use of the Services.

Nothing in this Policy transfers responsibilities in a manner inconsistent with applicable law or governing agreements.

Contractual liability, warranties, indemnification, and other legal rights are governed by applicable agreements and law.

52. Relationship to Other Policies and Agreements

This Policy supplements:

• Terms of Use.
• Privacy Policy.
• HIPAA & Patient Data Protection information.
• Cookie Policy.
• Applicable Business Associate Agreements.
• Master Services Agreements.
• Clinical Evaluation Agreements.
• Other applicable service and customer agreements.

In the event of a conflict, applicable law and the controlling contractual provisions govern.

This Policy does not expand or reduce any statutory patient rights.

53. Changes to This Policy

Cronic Care may revise this Policy to reflect changes in:

• AI capabilities.
• Clinical workflows.
• Physician approval processes.
• AI agent functionality.
• Security practices.
• Regulatory requirements.
• Healthcare technology standards.
• Applicable laws.

Updated versions will be published on the Cronic Care website with a revised effective date.

Where required, additional notice will be provided.

54. Contact Information

For questions about AI transparency, clinical responsibility, or the appropriate use of Cronic Care’s AI-assisted Services, contact:

Cronic Care, Inc.
Fresno, California, United States
Website: https://cronic.care
Email: privacy@cronic.care

Healthcare professionals should promptly address any clinical safety concern through their organization’s established clinical procedures rather than relying solely on a general website inquiry.