Dafe

Founder of Fanoni AI , building an AI-advanced, FHIR-native healthcare platform that connects clinical care, operations, and revenue.

[Dafe @dafesmith]

Scale Your MSO Without Scaling the Chaos

Every new practice should add growth—not another layer of disconnected systems, workflows, and administrative complexity.

But for many MSOs, expansion creates exactly that.

One location uses a different scheduling process. Another has a separate phone system. Billing workflows vary by practice. Staff follow different SOPs. Reporting lives in different places.

Before long, you are not operating one organization—you are managing several different businesses.

Fanoni is built to give MSOs one connected operating layer across every practice.

Manage scheduling, patient communication, clinical documentation, prior authorizations, billing workflows, claims, tasks, AI agents, and practice operations from one platform.

See how each location is performing.
Compare practices.
Identify operational bottlenecks.
Track where revenue is being lost.
Standardize workflows across the organization.

When you acquire or open a new practice, Fanoni helps you bring that location into the same workflows, reporting structure, patient experience, and operating model faster.

One platform.
Every location.
One operating model.
Greater visibility across the organization.

Fanoni helps MSOs scale practices without scaling the chaos.

Learn more at https://t.co/iX3iIqjJRG

#MSO #MedicalServiceOrganization #HealthcareManagement #HealthcareOperations #PracticeManagement #HealthcareTechnology #HealthTech #AIHealthcare #EHR #MedicalPractice #HealthcareLeadership #PracticeGrowth #HealthcareAutomation #RevenueCycleManagement #RCM #HealthcareAI #MultiLocationPractice #PhysicianPractice #HealthcareInnovation #Fanoni

[Dafe @dafesmith]

A CCM candidate. What happens next?

In Fanoni EHR:
1. Review the candidate record
2. Document consent
3. Create a care-management plan

Your team confirms eligibility.

Explore the workflow in a personalized Fanoni demo.

#Fanoni #ChronicCareManagement

[Dafe @dafesmith]

Who’s on your practice’s CCM review list?

Fanoni EHR brings candidate review and enrollment together. Your team confirms eligibility and documents consent.

Explore the workflow in a personalized Fanoni demo.

#Fanoni #ChronicCareManagement

[Dafe @dafesmith]

How does Fanoni support prior authorization? Patient evidence, AI-assisted assessment, clinician sign-off and request status in one workflow. Payer connections vary by configuration.

Explore: https://t.co/CkoXezCCWW
#PriorAuthorization #HealthIT

[Dafe @dafesmith]

@nazmijavierl Where can we get this design

[Nazday @nazmijavierl]

seriously, everything is here for designers https://t.co/uxnkFk4zBn

[Dafe @dafesmith]

Fanoni is an AI-advanced EHR that connects the patient chart with the operational and financial work required to deliver care—from the first call through authorization, treatment, billing, and follow-up. https://t.co/ikUvT92HE2

[Dafe @dafesmith]

Check out my latest article: The EHR should not stop at the chart https://t.co/2YkdnLiPdB via @LinkedIn

[Dafe @dafesmith]

Running a healthcare organization should not require managing disconnected systems, repetitive administrative work, and fragmented patient information.

Fanoni Health is building an AI-powered, FHIR-native healthcare platform that brings clinical and operational workflows into one connected environment.

With Fanoni, clinics can manage:

• Electronic health records and clinical documentation
• AI-assisted patient summaries and care planning
• Prior authorizations and appeals
• Patient referrals and follow-up
• Provider credentialing
• Medical imaging
• Patient intake, scheduling, and engagement
Our goal is simple: help clinic owners and healthcare leaders reduce administrative burden, improve workflow visibility, and give care teams more time to focus on patients.
Fanoni is not just another healthcare application. It is an intelligent operating platform designed to help modern clinics work more efficiently, scale their services, and deliver more coordinated care.
We are building the infrastructure for the next generation of healthcare delivery.
#FanoniHealth #HealthcareTechnology #HealthTech #ArtificialIntelligence #EHR #DigitalHealth #HealthcareInnovation #ClinicManagement

[Dafe @dafesmith]

@designer_tanbir Are you open for a project i need some ehr design

[Dafe @dafesmith]

@james_y_zou @gxl_ai i have been testing your MCP it look great i will try this out also

[Victoria Slocum @victorialslocum]

If you're building a PDF RAG pipeline:
Should you be using OCR and 𝘁𝗲𝘅𝘁-𝗯𝗮𝘀𝗲𝗱 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 methods, or just 𝗲𝗺𝗯𝗲𝗱 𝗶𝗺𝗮𝗴𝗲𝘀 𝗱𝗶𝗿𝗲���𝘁𝗹𝘆 using late interaction models?

This paper says the answer might actually be 𝘣𝘰𝘵𝘩.

My colleagues at Weaviate released IRPAPERS, a benchmark comparing 𝗶𝗺𝗮𝗴𝗲-𝗯𝗮𝘀𝗲𝗱 and 𝘁𝗲𝘅𝘁-𝗯𝗮𝘀𝗲𝗱 retrieval over 3,230 pages from 166 scientific papers.

The setup: Take the same PDFs and process them two ways. For text, run OCR with GPT-4.1 and embed with Arctic 2.0 + BM25 hybrid search. For images, embed raw page images with ColModernVBERT multi-vector embeddings. Test both on 180 needle-in-the-haystack questions.

𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀:

Text edges out images at the top rank: 46% vs 43% Recall@1
But images match or exceed text at deeper recall: 93% vs 91% Recall@20

But text and image based methods actually fail on 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘁 𝘲𝘶𝘦𝘳𝘪𝘦𝘴.

At Recall@1:
• 22 queries succeed with text but fail with images
• 18 queries succeed with images but fail with text

This complementarity is what makes 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵 work. By fusing scores from both text and image retrieval, they achieved:
• 49% Recall@1 (beating either modality alone)
• 81% Recall@5
• 95% Recall@20

More in the video below 🔽

Dataset: https://t.co/ksE67zjY5P
Paper: https://t.co/M3DHlLvxHI
Code: https://t.co/tfT4yhV1mb

[Dafe @dafesmith]

@DavidHundeyin the babies were already coming, and Indomie was just smart enough to feed them!

[Dafe @dafesmith]

@DavidHundeyin Love the narrative, but the math says otherwise! Nigeria’s growth rate has been a steady 2.4���2.6% since the 70s. What you're seeing in the 90s isn't a 'new' boom—it’s just the J-curve of a massive population base finally hitting its stride. Indomie didn't cause the babies

[Dafe @dafesmith]

@MervinPraison I started this last month it been a game changer for me

[Dafe @dafesmith]

@adxtyahq I started using it yesterday and it was good it but sometimes some small bug but that is fine still new

[Dafe @dafesmith]

@Morris_Monye They do not paid taxes in Eu

[Dafe @dafesmith]

@AFTVMedia Edu made the fundation which Berta is building on let's not forget where we where coming from that is important so we can't do VS

[Dafe @dafesmith]

@DearS_o_n I cook some food and eat take a woke outside