India  ·  Est. 2012  ·  Delivering to US, UK & Asia-Pacific
+91 93635 07420 info@maalkum.com

Clinical & Medical
Documentation Services.

We support healthcare providers, medical billing companies, and health-tech businesses with clinical documentation, coding support, medical data annotation, and AI output review. All work handled under strict NDA.

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Services

Five clinical service areas.

Click any service to see full details. Patient data handled under signed NDA and deleted after project completion.

We provide ICD-10 coding support for healthcare providers and medical billing companies — assigning accurate diagnosis and procedure codes from clinical documentation, physician notes, and patient records.

  • Diagnosis code assignment from clinical documentation
  • Procedure code identification and assignment
  • Coding from physician notes, discharge summaries, operative reports
  • Coding compliance review — catching errors before billing
  • Backlog processing — clearing large volumes of uncoded records
  • Query resolution for ambiguous documentation

Who uses this

Medical billing companiesOutsourcing ICD-10 coding to handle volume without additional full-time coders.
Clinics and hospitalsBacklog processing and ongoing coding alongside in-house teams.
Health-tech companiesCoding support for platforms that process clinical documentation at scale.

We transcribe and quality-review SOAP notes — Subjective, Objective, Assessment, and Plan — from audio recordings, handwritten notes, or draft dictations. Formatted to your EHR template.

  • SOAP note transcription from audio — physician dictation, voice recordings
  • Transcription from handwritten or draft notes to structured format
  • SOAP note QA — reviewing existing notes for completeness and structure
  • Formatting to your EHR template or preferred structure
  • Fast turnaround — clinical documentation has time constraints
  • Specialty coverage — general practice, specialist, mental health

What we handle

Audio dictationPhysician dictation transcribed accurately with medical vocabulary comprehension.
Draft to structuredRough drafts converted to clean, structured SOAP format.
QA and reviewExisting SOAP notes reviewed for completeness and formatting issues.

We review clinical documentation for completeness, accuracy, and compliance with documentation standards — catching issues before they reach billing, audit, or legal review.

  • Documentation completeness review — identifying missing elements
  • Clinical documentation improvement (CDI) support
  • Discharge summary review and quality checking
  • Operative report and procedure note review
  • Referral letter and clinical correspondence review
  • Compliance checking against documentation standards

Why it matters

Billing accuracyIncomplete documentation leads to coding errors and claim denials.
Audit readinessWell-documented records hold up under payer audit and regulatory review.
Quality of careAccurate documentation supports continuity of care across providers.

As AI systems are used increasingly in clinical documentation — ambient scribes, automated coding, clinical NLP — human review of AI-generated outputs is essential.

  • Review of AI-generated clinical notes and summaries
  • Automated coding output review and correction
  • Clinical NLP output validation
  • AI-generated SOAP note review and QA
  • Human-in-the-loop workflows for medical AI pipelines
  • Structured feedback for AI model improvement

Who needs this

Health-tech companiesReviewing AI-generated documentation before it reaches clinicians or billing.
AI medical coding vendorsHuman QA layer on automated coding to catch errors before billing.
Clinical AI platformsHITL workflows ensuring AI-generated content meets quality standards.

We annotate clinical datasets and validate healthcare text for medical AI development — labelling clinical entities, annotating medical concepts, and validating model outputs against clinical standards.

  • Named entity recognition in clinical text — conditions, medications, procedures
  • Medical concept annotation and classification
  • Clinical text labelling for NLP model training
  • Healthcare dataset creation and validation
  • Medical terminology validation and correction
  • De-identification and PII annotation in clinical records

Suitable for

Medical AI researchersAnnotated clinical datasets for training medical NLP and AI models.
EHR companiesClinical text annotation to improve automated coding and summarisation.
Life sciences companiesHealthcare text validation for research and regulatory documentation.

Data Security

How we handle medical data.

Medical data requires a higher standard of care. This is standard practice on every clinical engagement — not optional.

NDA signed first

Before any patient or clinical data is shared, we sign an NDA. Confidentiality is contractual.

Need-to-know access

Only team members assigned to your project access your data. No broader access.

Data deleted after completion

All patient and clinical data is deleted after project completion. Not retained, not repurposed.

Secure transfer only

Clinical data transferred via encrypted methods or your specified secure channel.

MSA in place

Master services agreement covering data handling obligations before any work begins.

Audit trail

Every action on clinical data is documented and available for your review on request.


Common Questions

Two questions we get asked.

Is your team medically trained?

Our medical documentation team has training in clinical terminology, ICD-10 coding, and healthcare documentation standards. We are not clinical practitioners — we are documentation and data specialists who work within defined clinical guidelines provided by our clients.

How do you handle patient data confidentiality?

All patient data is handled under a signed NDA before any work begins. Data is accessed only by team members assigned to that project, transferred via encrypted channels only, and deleted after project completion. We do not retain patient data.

Tell us about your clinical documentation needs.

We respond within 24 hours with whether we are the right fit.

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