The Communication Layer for Healthcare

Structured clinical insight before the visit begins.

LiteraSeed captures patient history in any language, structures it into clinical-grade data, and delivers it directly into your EHR before the provider walks in.

Try the patient intake below — select a language to see the report translate in real time.

9:41
LiteraSeed
Patient using LiteraSeed

Welcome!

Let's get ready for
your visit today.

🔒 No Login Required · Private & Secure

Developed in partnership with

Valleywise HealthVirginia TechNational Science Foundation

What Clinicians Receive

The full picture, before the visit begins.

After a patient completes intake, a structured clinical summary is automatically delivered to the clinician's EHR. No extra steps. No new workflows. The provider walks in already knowing their patient's story.

  • Chief complaint, severity, and affected areas structured and prioritized.
  • Risk flags and care gaps surfaced automatically before the visit.
  • Patient's own words captured, translated to English where needed.
  • Delivered directly into Epic or Cerner. No copy-paste, no manual entry.
LiteraSeedYour Visit Summary
Maria G.Female · Age 34

June 9, 2026

MRN-2026-00481

What brought you in today

Chest PainFeverCoughTiredness

About your symptoms

Started:4 days ago
Progress:Getting worse
Occurs:Comes and goes, worse at night
Pain location:Middle of chest, spreads to left shoulder
Pain severity:7 out of 10
Other symptoms:Cough with yellow mucus, mild fever (38.2 °C / 100.8 °F), tiredness
What helps:Resting; over-the-counter ibuprofen helps a little
What makes it worse:Deep breaths, moving around

"The patient complains of having chest pain, a cough, and a fever for the past 4 days. The pain is in the middle of their chest and spreads to their left shoulder (7 out of 10). Their cough brings up yellow mucus. They also have a mild fever and feel tired."

LiteraSeed·LiteraSeed Intake: Digital check-in · 4 minutes · Self-reported

Patient Stories

Every barrier crossed. Every patient heard.

See how LiteraSeed surfaces information that verbal triage missesin every specialty, for every patient.

S

Sara, 31

OB/GYN · Spanish

28 weeks pregnant. Reports vaginal bleeding and contractions.

Without LiteraSeed

Sara's nurse documents only "contractions". The bleeding is missed entirely due to the language gap. A key symptom goes unrecorded.

LiteraSeed
What was captured

Sara completes intake in Spanish. She selects bleeding and contractions. LiteraSeed's dynamic questionnaire asks follow-up questions uncovering frequency, severity, and that contractions started 2 hours ago.

Clinician receives

HIGH RISK

Chief Complaint

Vaginal bleeding + contractions

Onset

2 hours ago, worsening

Contraction frequency

Every 8 minutes

Risk Score

8.4 / 10 — Urgent

Exam expedited. Provider codes for higher acuity. A near-miss becomes timely, appropriate care.

Information that would not have surfaced without structured intake.

Each journey is powered by LiteraSeed's dynamic questionnaire branching based on patient responses to ask the right follow-up at the right moment.

The Transformation

What patients say. What clinicians need.

LiteraSeed translates, structures, and delivers patient data directly into your EHR before the provider walks in — no new tools, no manual entry.

Unstructured Patient Input

Maria G.

Female · DOB 03/12/1991 · MRN-00481

04/25/2026

"My chest starts hurting when I walk upstairs... kind of like pressure"

🇪🇸es

"Me quedo sin aliento cuando camino rápido"

"Also I've been really tired lately"

TranslateStructure
LS
MapNormalize

Structured Clinical Output

FHIR R4 · Patient/28478:45 AM
Translated · ES → ENPriority flag
Conditionstatus: active

Chest tightness, fatigue,
shortness of breath

ICD-10: R07.9, R53.83, R06.09

Observationstatus: final

Shortness of breath

LOINC 54564-0 · onset: 3 days

7/10
Observationstatus: final

Fatigue

LOINC 21982-1 · worsening at night

5/10

What the provider sees in their EHR

The structured summary appears inside Epic, Cerner, or any SMART-enabled EHR. No new tab. No new login. No change to the clinical workflow.

🔒ehr.literaseed/pt/00481
EHR
GARCIA, MARIA|F / 34|DOB 03/12/1991|MRN-2026-00481
Summary
Chart Review
Flowsheets
Notes
Plan of Care
Education
Orders
Patient
Garcia, Maria
Female · 34 y.o. · 03/12/1991
MRN: MRN-2026-00481
🔍 Search
Coverage: Community Health Plan
Treatment Plans
! Active respiratory concern
BP:118 / 74
HR:96
RR:20
SpO2:96%
T:100.8 °F
Last Wt:143 lb
Most Recent Labs
03/12/2026
Problem List
Chest pain (R07.9)
Fever, unspecified
Chart Review
Notes
Encounters
Imaging
Labs
Episodes
Letters
Media
Meds
Note DateTypeAuthorEncounter
Recent Notes
📄04/15/2026 09:30ConsultsSmith, Jane, MDToday's Visit
03/12/2026 14:00H&PGarcia, Anna, MDRoutine PE
01/08/2026 11:00ConsultsSmith, Jane, MDFollow-up
10/22/2025 10:00ConsultsBrown, Mike, MDAnnual PE
Animated data visualizer showing hierarchical patient questionnaire structure with hundreds of algorithmically-linked nodes

Intelligent Intake

A highly dynamic and personalized experience

Our tailored, dynamic questionnaire experience ensures every patient only answers questions relevant to their health complaints. The data visualizer illustrates how information elicited from the patient is hierarchically structured and algorithmically determined by the patient's chief complaint, associated symptoms, and medical history. Provider reports are prioritized, flagging critical details and ensuring that the most essential information is readily accessible.

The Experience

Designed for patients. Built for clinicians.

From any device to a structured EHR note — every step of the journey, purpose-built.

9:41

¿Qué problema tienes?

Selecciona todas las opciones que apliquen

Symptom intake in Spanish — no interpreter needed

High and low resource languages

Patients complete intake in their own language — no interpreter needed.

Picture-based

Tap-to-select symptom icons work for any literacy level.

No app download

Opens on any device via SMS link — zero friction.

Dynamic branching

Each answer unlocks the right follow-up — no irrelevant questions.

Risk scored live

Urgency calculated automatically before the provider walks in.

Any device

Works on personal phones without an app store or login.

Clinical Use Cases

Designed for the specialties that need it most

Each use case is built in collaboration with clinicians in that specialty.

🚨

Emergency Medicine

Designed in collaboration with ED physicians to quickly evaluate the most common medical emergencies and surface critical flags before the provider enters the room.

🩺

OB/GYN

Designed in collaboration with OB/GYN clinicians to comprehensively evaluate women's health, capturing complex reproductive and obstetric histories accurately.

🏠

Primary Care

Designed for the general population to identify risk factors and new or worsening symptoms across a broad range of conditions and demographics.

🧠

Behavioral Health

Measures the intensity of characteristic attitudes and symptoms of depression and anxiety using validated screening instruments — in any language.

🫁

Respiratory Illness

A structured screening intake for people with new or worsening respiratory symptoms, supporting triage and early risk stratification before the clinical encounter.

More Coming Soon

Additional specialties are in active development. Contact us if your specialty isn't listed. We prioritize by demand.

Technical Integration

Seamlessly fits your existing infrastructure

LiteraSeed is built API-first on open healthcare standards. No rip-and-replace. Your IT team's involvement is minimal by design.

HL7 FHIR R4

Bidirectional FHIR R4 data exchange pulls structured patient data from the EHR and pushes enriched intake summaries back. USCDI compliant.

SMART on FHIR

Launch directly within Epic, Cerner, or any SMART-enabled EHR via the app gallery. Providers never leave their workflow.

OAuth 2.0 + SAML 2.0 SSO

Enterprise single sign-on via OAuth 2.0 and SAML 2.0. Clinicians authenticate through existing health system credentials — no new logins.

Security & Compliance

HIPAA BAA with every deployment. AES-256 encryption at rest, TLS 1.2+ in transit. Annual third-party penetration testing. SOC 2 Type II in progress.

Compatible with leading EHR platforms

Epic
Cerner
Athena Health
Meditech
Allscripts
NextGen

Typical go-live: 4–6 weeks from signed agreement.

From signed agreement to live deployment. Our clinical implementation team handles configuration, testing, and clinician onboarding.

No new app for clinicians
HIPAA BAA
Dedicated support

Common Questions

Frequently asked questions

Ready to transform patient communication?

Give every patient a voice. Give every clinician clarity.

Join health systems and payer organizations using LiteraSeed to close the communication gap — one patient at a time.

Contact Us
🔒 HIPAA Compliant⚡ 4–6 Week Go-Live🌍 Linguistic Equity🏥 EHR Native