BlackFlow

BACKGROUND

Please describe your company and position.

I am the Manager of Yoctobe

Describe what your company does in a single sentence.

Medical Software Dev

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire BlackFlow to accomplish?

• Develop an AI Scribe

SOLUTION

How did you find BlackFlow?

Referral

Why did you select BlackFlow over others?

• Close to my geographic location
• Pricing fit our budget
• Good value for cost
• Referred to me

How many teammates from BlackFlow were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Automate clinical note-taking by converting provider–patient conversations into structured, accurate, and compliant documentation. Core Features Delivered: Real-time transcription of patient–clinician dialogue with high medical accuracy. Summarisation engine that produces SOAP notes (Subjective, Objective, Assessment, Plan) or customised templates aligned with NHS/clinical workflows. Medical terminology recognition to capture diagnoses, medications, procedures, and vital signs correctly. Integration capability with EHR/EMR systems through FHIR/HL7 standards. Privacy and security compliance (GDPR, HIPAA where relevant). User interface (web or mobile) for clinicians to review, edit, and approve notes quickly. Audit trail and versioning for medico-legal safety. 

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Here are measurable outcomes that typically demonstrate progress or success for an AI Scribe project like the one Blackflow developed:

Measurable Outcomes
Documentation Time Reduction

• Average time clinicians spend on notes reduced from ~16 minutes per consultation to ~4–6 minutes.
  → ~60–75% reduction in administrative workload.

Clinical Throughput

• Clinicians able to see 1–2 more patients per day without increasing total working hours.
  Accuracy of Transcription & Summaries
• Word error rate (WER) for transcription: <10% in medical vocabulary.
  Clinical concept capture accuracy (medications, diagnoses, vitals): >90%.
  EHR Integration Efficiency
• % of generated notes successfully auto-uploaded into EMR/EHR without manual re-entry: >95%.

User Adoption & Satisfaction

• 80%+ of pilot clinicians report improved workflow efficiency.
  70%+ report reduced end-of-day note backlog.

Compliance & Audit

• GDPR/HIPAA compliance confirmed.
  100% traceable audit logs maintained for medico-legal safety.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Project Management & Delivery

On-time Delivery:

Blackflow adhered to agreed milestones, delivering prototypes, pilot versions, and final integration on schedule. Key deliverables such as transcription engine, SOAP-note generator, and EHR integration modules were handed over within the planned timelines.

Responsiveness to Needs:

They maintained a collaborative approach—running fortnightly check-ins, adjusting features based on clinician feedback (e.g., adding a structured SOAP format after initial free-text summaries proved less useful). They were quick to iterate when user testing highlighted missing medical terminology or workflow bottlenecks.

Communication:

Progress was communicated clearly through sprint reports and demos. Any risks (such as integration delays due to external EHR vendors) were flagged early with mitigation options.

Flexibility:

When requirements evolved (e.g., stronger GDPR audit trail, additional languages), Blackflow reprioritised tasks without derailing the project timeline.

Overall Outcome:

The project was delivered on time, within scope, and aligned with end-user needs. Clinicians reported that their feedback was not only heard but acted upon, resulting in a product that fit real-world workflows rather than a generic solution.

What was your primary form of communication with BlackFlow?

• In-Person Meeting
• Virtual Meeting

What did you find most impressive or unique about this company?

Most Impressive / Unique Aspects of Blackflow

Deep Domain Understanding:

They demonstrated a strong grasp of clinical workflows and documentation challenges, not just AI technology. Their solutions reflected real-world needs of clinicians, not a generic tech-first approach.

Integration Expertise:

The team seamlessly integrated the AI Scribe with existing EHR systems using FHIR/HL7 standards—a task many vendors struggle with—while maintaining data privacy and compliance.

Rapid Iteration & Responsiveness:

They quickly adapted to feedback from clinicians, incorporating new features (like structured SOAP notes and terminology accuracy improvements) without delaying milestones.

Technical Innovation:

The transcription and summarisation algorithms were highly accurate in medical contexts, handling complex terminology, abbreviations, and multi-speaker dialogue better than standard solutions.

User-Centric Design:

They prioritised clinician usability, creating a system that genuinely reduces administrative burden while preserving control and auditability, rather than replacing human judgement.

Are there any areas for improvement or something BlackFlow could have done differently?

Areas for Improvement

User Training & Onboarding:

Initial onboarding for clinicians could have been more structured. A short training module or quick-start guide would help users maximise AI Scribe efficiency from day one.

Customisation Flexibility:

While the AI performed well with standard SOAP notes, more configurable templates or specialty-specific workflows could improve adoption across diverse clinical settings.

Offline Functionality:

The solution relied heavily on cloud connectivity. Adding limited offline capabilities for transcription and note generation could enhance usability in low-connectivity environments.

Advanced Analytics & Reporting:

Clinicians or managers might benefit from built-in dashboards summarising documentation trends, common errors, or workflow bottlenecks—beyond just the AI note output.

Early Feedback Loops:

Some feature requests were incorporated reactively. Introducing earlier structured user testing phases could preempt common workflow adjustments and reduce iteration cycles.