--- title: AI in Healthcare Software Development description: "AI healthcare software development for symptom intake, medical scribe, message routing, EHR integration, human review, audit logging, and clinical AI workflows." url: https://miracuves.com/service/ai-in-healthcare date_modified: 2026-09-29 author: miracuves language: en_US --- Industry AI · Clinics, Hospitals & Health Startups # AI in Healthcare Software DevelopmentTriage · Scribe · Patient Messaging Add AI to a clinic, hospital or health startup platform: symptom intake and triage, clinical note drafting, report summaries, patient-message routing and no-show prediction. AI assists and clinicians decide. Start from a Miracuves healthcare base from $2,799, or add the AI layer to your own system in 2-8 weeks, with 100% source code. [WhatsApp - Talk to Our Team](https://wa.me/919830009649)[See Bases and AI Modules](#deployed) Reviewed on Clutch9,000+ Projects Delivered[View live deployments →](https://miracuves.com/portfolio/) - Clinicians Sign Off - BAA Available - From $2,799 - 100% Source Code **$2,799**Healthcare bases from**$4,299**Practo telemedicine base**2-8 wks**Custom AI layer**60 days**Guidance after launch Triage, scribe and routing added to your base AI triageAI medical scribeReport summariesMessage routing Start from[Practo Clone](https://miracuves.com/practo-clone/)[1mg Clone](https://miracuves.com/1mg-clone/)[Healthcare App Development](https://miracuves.com/service/healthcare-app-development/) - **$2,799**Healthcare bases from - **2-8 wks**Custom AI layer - **BAA**Miracuves can sign one - **35+**Industries served - **100%**Code and prompts yours More than 6,000+ Companies Trust us Worldwide [![Miracuves Ranked among top 1000 companies globally by Clutch](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-Clutch-top-1000-company.webp "AI in Healthcare Software Development 1")](https://clutch.co/profile/miracuves-solutions#reviews) [![Miracuves is a top-minus service provider in the United States by Clutch](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-clutch-top-managed-service-provider-US.webp "AI in Healthcare Software Development 2")](https://clutch.co/profile/miracuves-solutions#reviews) ![MediaCube is the best managed IT service provider in New York City by Expertise.com](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-Expertise-Provider.webp "AI in Healthcare Software Development 3") ![MiraQs as an official member of Forbes Business Council ](https://miracuves.com/wp-content/uploads/2024/03/Mircuves-Official-Memeber-Forbes-Council.webp "AI in Healthcare Software Development 4") [![Miracuves is a verified agency with design rush. ](https://miracuves.com/wp-content/uploads/2024/03/DesignRush-Top-Design-Agencies-in-India.webp "AI in Healthcare Software Development 5")](https://www.designrush.com/agency/profile/miracuves#reviews) [![MiraQs is ranked as a trustworthy service provider with Trustpilot. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-TrustPilot-Top-Software-Development-Company.webp "AI in Healthcare Software Development 6")](https://www.trustpilot.com/review/miracuves.com) [![Miracuves is one of the top managed service providers, companies by themanifest. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-The-Manifest-Top-Managed-Software-Development-Company.webp "AI in Healthcare Software Development 7")](https://themanifest.com/company/miracuves-solutions) [![Miracuves ranked as a top software development company by Design Rush. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-Designrush-Top-Software-Development-Company.webp "AI in Healthcare Software Development 8")](https://www.designrush.com/agency/profile/miracuves#reviews) [![Miracuves is recognized as top software developed company by goodfirms. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-GoodFirms-Top-Software-Development-Company.webp "AI in Healthcare Software Development 9")](https://www.goodfirms.co/company/miracuves-solution) In short Miracuves builds AI into healthcare software: symptom intake and triage, AI medical scribe notes, report summaries, patient-message routing and no-show prediction, with clinicians approving every clinical output. Start from a ready-made healthcare base from $2,799, built in 6 working days, or add the AI layer to your own system as custom work in 2-8 weeks. Miracuves can sign a BAA, and you own 100% of the code. Our Approach ## How Miracuves adds AI to healthcare software - assist, never decide Miracuves has delivered 9,000+ projects since 2010 and runs ready-made healthcare bases for booking, consults and pharmacy. The AI work sits on top: symptom intake and triage, an [appointment and follow-up assistant](https://miracuves.com/service/chatbot-development/), clinical note drafting, report summarization, patient-message routing and no-show prediction. Each feature uses the [language models](https://miracuves.com/service/llm-development/) and [NLP pipelines](https://miracuves.com/service/nlp-development/) that suit that task, not one model for everything. Who this is for: clinics, hospital groups and digital health startups that want clinicians spending less time on intake, notes and the inbox, without handing clinical judgment to a model. It is not for anyone who wants software that diagnoses or prescribes on its own; that is a regulated medical device, and we say so on the first call. Every engagement starts with an NDA and, where patient data is involved, a BAA: Miracuves can sign one as your business associate. We then agree the evaluation set with a clinician on your side, build against it, and hand over the prompts, the test cases and the audit log design along with the code. **When AI is the wrong tool:** if the problem is a missing booking flow or a slow front-desk process, fix the workflow first. We tell you when a rule, a form or a reminder does the job better than a model. - Every clinical output stays a draft until a clinician signs - PHI redacted, or kept in your hosting, before any model call - Red-flag symptoms go to a person, never to the model - Evaluated on your own de-identified cases before launch - Prompts, test sets and source code transferred to you Written by Miracuves Healthcare AI Team · September 2026 · Updated September 2026[View Deployed Portfolio →](https://miracuves.com/portfolio/) **9,000+**Projects delivered since 2010**3,900+**Apps published by Miracuves**90+**Ready-made solutions to start from**6 days**Ready-made clone delivery**2-8w**Miracuves custom build timelines**100%**Source code ownership Decisions First ## What you have to decide before AI touches patient data Healthcare AI goes wrong in the scoping, not in the model. These six answers set what the AI may do, what it may see and who is accountable. **Role** ### Assist or decide Which outputs are drafts for a clinician and which, if any, reach a patient directly. We default to drafts. Scoped upfront**Data** ### What the model may see Which fields go to a model, which are redacted first, and which never leave your database. Scoped upfront**Hosting** ### Hosted or self-hosted model A hosted model covered by a BAA with its provider, or an open model on your own servers when data cannot leave. Scoped upfront**Device** ### Is it a medical device Software that diagnoses or recommends treatment can be regulated as a medical device. We build below that line unless you choose to pursue clearance. Scoped upfront**Evaluation** ### What good looks like A test set of real, de-identified cases and a pass mark your clinician agrees before launch. In the build**Oversight** ### Who signs and who is alerted Named reviewers, escalation paths and an audit trail of every AI output and every edit. In the build Healthcare AI Solutions ## Healthcare bases and AI modules Miracuves builds Six of our 90+ ready-made platforms, each shipping with its apps and admin panel in 6 days. [View All 90+ Solutions](https://miracuves.com/solutions/) [*01*Telemedicine base6 days ### Practo Clone Booking, video consults and records. Its product page lists an AI symptom checker; your triage rules and a scribe are added on top. $4,299Base](https://miracuves.com/practo-clone/)[*02*Pharmacy base6 days ### 1mg Clone Medicine orders and lab tests. Its product page lists prescription image reading, with a drug interaction checker as an add-on. $2,799Base](https://miracuves.com/1mg-clone/)[*03*Triagecustom scope ### AI Symptom Intake & Triage Structured questions, red-flag escalation and a suggested care route, written around your protocols. Get Pricing2-8 weeks](https://miracuves.com/contact/)[*04*Documentationcustom scope ### AI Medical Scribe Consult audio turned into a draft note in your template, held until the clinician signs it. Get Pricing2-8 weeks](https://miracuves.com/contact/)[*05*Inboxcustom scope ### Patient-Message Routing Messages sorted by intent and urgency, with draft replies that staff approve before sending. Get Pricing2-8 weeks](https://miracuves.com/contact/)[*06*Schedulingcustom scope ### No-Show Prediction Tomorrow's visits scored for no-show risk from your own booking history, with targeted reminders. Get Pricing2-8 weeks](https://miracuves.com/contact/) AI Anatomy ## Patient app · Clinician app · Admin, with AI Where each AI feature sits across the three apps. Two are listed on Miracuves product pages today: the Practo base's symptom checker and the pharmacy bases' prescription reading. Everything else here is custom work added on top, in 2-8 weeks. ### Patient App iOS & Android · on your base7 features - Symptom intake with structured follow-up questions - AI symptom checker (listed on the Practo base) - Red-flag answers escalate to a person at once - Suggested care route: self-care, GP or urgent - Appointment and follow-up assistant in chat - Plain-language report summaries, clinician-approved - Prescription photo reading (listed on pharmacy bases) ### Clinician App iOS, Android & web · review first7 features - Intake summary before the visit opens - AI medical scribe: consult audio to a draft note - Generated note held until the clinician signs - Lab and discharge report summarization - Suggested replies to patients, never auto-sent - Every summary linked back to its source record - One-tap flag when an AI output is wrong ### Admin Console Web console · oversight7 features - Patient-message routing by intent and urgency - No-show risk list for the next day's schedule - Reminder and rebooking rules for flagged visits - Model and prompt versions pinned per feature - PHI redaction settings applied before model calls - Audit log of every AI output, edit and sign-off - Evaluation results against your test cases Choose Your Route ## Ready-made vs custom vs white-label - where your AI layer should live Three ways to put AI into a healthcare product. The difference is who owns the prompts and data flows, where patient data goes, and how soon you can start. MetricFive things that decide cost, speed and reachMiracuves ### Base + AI layer Healthcare base plus custom AI ### Custom AI build AI added to your own system ### White-label AI SaaS A rented AI tool *01*Time to launch**6 days + 2-8 weeks**Base first, then the AI layer**2-8 weeks**Per feature, quoted in writing**Days to weeks**Set by the vendor's onboarding*02*What you pay**From $2,799**Base, plus a written AI quote**Scoped quote**Milestone billing, written first**Per-seat or per-note fee**For as long as you use it*03*Code and prompts**100% yours**Prompts and test sets included**100% yours**Transferred to your account**Stay with the vendor**You rent access*04*Where patient data goes**Your hosting, your model account**Redacted before any model call**Your systems**Mapped with your compliance team**The vendor's cloud**Under the vendor's BAA and terms*05*Best for**New clinics and health startups**Launching with AI from day one**Hospitals and existing platforms**With an EHR already in place**Trying one AI feature**Before owning anything Start from a base plus AI if… you are launching booking, consults or pharmacy and want triage or a scribe in the same product, owned from day one. Start with the [Practo Clone](https://miracuves.com/practo-clone/). Choose custom or white-label if… you already run an EHR or patient platform and need AI added through its APIs (custom), or you want to trial a single AI feature before committing (white-label). Before You Build ## What healthcare teams ask before adding AI The questions that decide which AI feature to build first, what it costs to run and where responsibility sits. ### Which AI feature should a clinic or hospital build first? Pick the task with the most repetition and the least clinical judgment. For most clinics that is intake: the same pre-visit questions asked by phone every day. For doctors who type notes after hours, it is an AI medical scribe. For crowded inboxes, it is patient-message routing, which sorts messages by intent and urgency so staff answer the right ones first. Report summarization suits hospitals with long discharge and lab reports, and no-show prediction suits clinics whose schedules lose slots to missed visits. Leave diagnosis and treatment advice out of the first build: they carry the most risk and, in many markets, medical device rules. ### How does an AI symptom checker avoid giving a diagnosis? It routes rather than diagnoses. The intake asks structured questions, checks the answers against your red-flag list first, and suggests a care route such as self-care information, a GP visit or urgent care. It never presents a condition as the answer, and your clinicians review its wording before launch. The line matters legally. Software that diagnoses or recommends treatment can be regulated as a medical device in many markets, including the US and the EU. Miracuves builds assistive triage below that line by default. If you decide to pursue clearance, that is a regulatory project your team leads, and we scope the engineering it needs. ### What does healthcare AI cost to build and to run? There are two parts. The build: a ready-made healthcare base is a published one-time price, from $2,799 today, and the AI layer on top is quoted after scoping, typically 2-8 weeks of work. Adding AI to a platform you already run is quoted the same way. The running cost sits with your providers and grows with use: model calls per message or note, speech-to-text minutes for the scribe, hosting for the retrieval index, and servers for a self-hosted model if you choose one. Before you commit, we estimate these from your monthly visit and message volumes, and we design the gateway to cache and batch where it safely can. ### HIPAA, GDPR and BAAs: who is responsible for what? Miracuves builds to the controls those frameworks require: role-based access, encryption, PHI redaction before model calls, and an audit log of every AI output and sign-off. Miracuves can sign a BAA as your business associate. Your model provider needs its own BAA with you, or the model runs on your servers so patient data never leaves them. What stays with you: your compliance program, your policies, the patient consent wording, where data is hosted and any certification. Miracuves does not certify your platform as HIPAA or GDPR compliant; we document the architecture so your compliance officer can assess it. ### What do we need ready before the AI build starts? The model is rarely what slows a healthcare AI project down. What does is usually on your side, so it pays to start these early, in parallel with scoping: - Your triage rules, red-flag list and note templates, written down - A set of de-identified example cases for each feature, chosen with a clinician - A clinician who can review AI outputs for a few hours each week during the pilot - A model provider account with a signed BAA, or servers for a self-hosted model - The one number the feature should move, measured today as a baseline ### How should we evaluate a healthcare AI vendor? Ask to see the work behind the demo. A serious vendor tests on your de-identified cases rather than its own examples, shows how red flags bypass the model, and shows you the audit log a reviewer would actually read. Then check the exit terms. Do you receive the prompts, the evaluation set and the pipeline code, or only an API key? Can you switch models without a rebuild? Will the vendor sign a BAA? Miracuves answers yes to each in the written scope. If you are comparing several proposals, a short [AI consulting](https://miracuves.com/service/ai-consulting/) engagement can assess them before you commit. How It Works ## Symptom report to signed note - where AI helps One patient contact traced through the AI layer: the model gathers, sorts and drafts, and a clinician makes every clinical decision. 1. ### Patient describes symptoms The intake asks structured follow-ups in plain language, in the patient's own language where scoped. 2. ### Red flags checked first Answers that match your escalation rules go straight to a person, before any AI summary is written. 3. ### Summary reaches the care team The clinician sees a short intake summary, with links back to the patient's own answers. 4. ### Visit note drafted With the patient's consent, the scribe turns consult audio into a draft note the clinician edits and signs. 5. ### Follow-up handled The assistant books the follow-up and sends reminders; visits flagged as likely no-shows get an extra nudge. **Assist** ### AI drafts Summaries, notes and replies stay drafts until a person approves them. **Escalate** ### People handle red flags Urgent answers bypass the model and alert staff. **Logged** ### Every output kept Input, output, edits and sign-off stored for audit. Where AI Pays Back ## 6 places healthcare AI earns its cost Each AI feature should move one operational number. Baseline it before the build and track it in the pilot, so the decision to keep the feature rests on your own data. ### Front-desk intake Structured intake replaces the repeat phone questions before a visit. Measure: calls per booking ### Clinician note time A scribe draft cuts the typing after each consult. Measure: minutes per signed note ### Missed appointments No-show prediction aims reminders at the visits most at risk. Measure: no-show rate ### Inbox handling Routing sends each patient message to the right queue on arrival. Measure: time to first reply ### Report turnaround Summaries of lab and discharge reports speed up clinician review. Measure: report-to-review time ### Premium AI features Patients or clinics pay for an AI assistant tier on your platform. Measure: tier uptake **No savings promised:** Miracuves does not quote savings in advance. These are the measures to baseline before launch; your results depend on your volumes, specialty and staffing. Who This Is For ## Who adds AI to a healthcare platform? Four kinds of healthcare organization ask for this work most often, each with a different bottleneck. ### Clinic Groups Intake calls and follow-up messages eat the front desk's day. An intake assistant and message routing hand staff a sorted queue instead of a full inbox. Primary care, dermatology, dental ### Hospitals Discharge summaries and referral letters take clinician hours. Report summarization and a scribe draft them for review, inside the systems already in use. Outpatient departments ### Telehealth Startups Every consult opens with the same questions. Structured symptom intake gives the doctor a summary before the call starts. Virtual and async care ### Health SaaS Vendors Your customers ask for AI in the product. We add it as a feature tier with its own controls, on your codebase or on ours. Practice management software Why Miracuves ## How Miracuves compares to typical healthcare AI vendors Healthcare AI tools are easy to demo and hard to leave. These are the terms to compare before any patient data moves. - Source code and prompts**100% yours** - BAA as business associate**We can sign** - Model choice**Yours to switch** - Clinician sign-off**Built in** - Evaluation before launch**On your cases** - NDA before details shared**Day one** - Post-launch support**60 days** 1. *01* ### Your prompts are part of the code Some AI vendors keep the prompts and tuning as their property, which makes leaving expensive. Miracuves transfers the prompts, evaluation sets and pipelines with the source code. 2. *02* ### No lock-in to one model Model providers change versions and terms often. The AI gateway lets you move between GPT, Claude, Gemini or a self-hosted Llama model without rewriting the product. 3. *03* ### We show you where the device line is Symptom routing and note drafting can stay assistive. Diagnosis or treatment advice can make the software a regulated medical device, and we flag that before the scope is signed. 4. *04* ### Measured on your patients, not a demo A demo on clean examples proves little. Each feature is tested against de-identified cases from your own service, with a pass mark your clinician sets. 5. *05* ### Honest timelines A ready-made base takes 6 working days of build time; the AI layer is custom work of 2-8 weeks, quoted in writing before payment. Architecture ## Healthcare AI architecture - PHI stays behind the gateway The apps never call a model directly. Every AI request passes one gateway that redacts, routes and logs, and that waits for a person wherever the scope says it must. - *01* ### Patient and clinician apps Intake, chat, scribe capture and the review screens where drafts are signed. - *02* ### AI gateway PHI redaction, model routing, rate limits and a log of every prompt and output. - *03* ### Retrieval over your protocols Answers grounded in your own triage rules and patient leaflets, not the open web. - *04* ### Review and audit Sign-off queues, escalation alerts and exports for your compliance officer. **A patient sends a message**Received in the app and tied to the patient record**The gateway redacts it**Names and identifiers removed before any model call**The model sorts and drafts**Intent and urgency set, a reply drafted from your protocols**Staff approve and send**The draft, any edit and the sign-off go to the audit log Built with[LLM Development](https://miracuves.com/service/llm-development/)[NLP Development](https://miracuves.com/service/nlp-development/)[Chatbot Development](https://miracuves.com/service/chatbot-development/)[RAG Development](https://miracuves.com/service/rag-development/) Technology Stack ## What the healthcare AI layer runs on Models are chosen per feature and can be switched later. Named models are tools we integrate, not partners; your engineers get the architecture notes at handover. *GP***GPT models**Hosted language model*Cl***Claude**Hosted language model*Gm***Gemini**Hosted language model*Ll***Llama**Self-hosted open model*Wh***Whisper**Speech to text for the scribe*Pv***pgvector**Index for your protocols*Lc***LangChain**Model orchestration*Py***Python**AI services and pipelines*Oc***OCR**Reports and prescription images*Fh***FHIR APIs**EHR exchange, custom scope*Lv***Laravel**Healthcare base API*Rd***Redis**Queues for AI jobs*Dk***Docker/AWS**Hosting in your region*Sn***Sentry**Errors and latency alerts Quality Standards ## Clinical-safety checks for healthcare AI Every AI feature passes these gates on staging, with a clinician from your side, before it sees a real patient. - Evaluation on your casesGate - Red-flag escalation testGate - PHI redaction checkGate - Misuse and prompt-injection testsGate - Handoff packageGate - 60-day monitored supportGate Delivery Gates ## Six checks before an AI feature reaches patients **01** #### Evaluation on your cases The feature runs against de-identified cases from your service and must meet the pass mark your clinician set before launch. **02** #### Red-flag escalation test Every symptom on your escalation list is tried in intake and chat; each must reach a person with no AI summary in between. **03** #### PHI redaction check Model calls are inspected on staging to confirm names, identifiers and free-text details are removed as scoped. **04** #### Misuse and prompt-injection tests Patients typing instructions to the assistant, or asking it for a diagnosis or a dose: the feature must decline and route to staff. **05** #### Handoff package Source code, prompts, evaluation set, model settings, audit log design and a runbook for changing models later. **06** #### 60-day monitored support Output quality and error rates watched after launch; failures within scope are fixed inside the support window. Delivery Process ## Healthcare AI delivery - 2-8 weeks custom One AI feature at a time, evaluated with your clinicians before patients see it. NDA, a BAA where patient data is involved, written scope and source handoff are standard. 1. **Week 0** ### Brief, NDA and BAA Share the workflow you want AI to help with. NDA signed before any project details are shared; a BAA before any patient data. 2. **Week 1** ### Protocols and test cases Your triage rules, note templates and de-identified example cases collected, and the pass mark agreed with a clinician. 3. **Weeks 1-4** ### Build the feature Gateway, prompts, retrieval and review screens built into your healthcare base or your existing system. 4. **Weeks 3-6** ### Evaluate with clinicians Runs against the test set, red-flag and misuse tests, then a supervised pilot with your staff. 5. **By week 8** ### Handover Code, prompts, evaluation set and runbook delivered, and the 60-day support window begins. **Week 0**NDA and BAA**Week 1**Test cases agreed**Pilot**Clinician-supervised**2-8 wks**Custom build window ### The 6 days cover the base, not the AI layer If you start from a ready-made healthcare base, its build takes 6 working days of Miracuves time. The AI features on top are custom work of 2-8 weeks, and what usually sets the pace sits on your side: clinician time for the test set, your model provider's BAA and your compliance review. We list these on the first call so they can run in parallel. [See what you provide](https://miracuves.com/facts/#fact-005)FACT-005, audited quarterly Cost & Pricing ## What healthcare AI development costs Published base prices, and a written quote for the AI layer. Ready-made healthcare bases from $2,799; the Practo telemedicine base is $4,299. AI features on top are scoped and quoted before payment. ### Healthcare Base $2,799 /from 6 working days · scoped - Patient + provider + admin apps - AI features listed on the product page - White-label branding applied - Payment gateway configured - Full source code delivered - 60-day post-launch support [Start with a Base](https://wa.me/919830009649)Most Popular ### Base + AI Layer Custom Quote 2-8 weeks · milestone billing - Triage, scribe or message routing - AI gateway with PHI redaction - Evaluation on your own cases - Clinician sign-off screens - Code, prompts + IP transfer - 60-day support after launch [Get a Scope & Quote](https://miracuves.com/contact/) ### Hospital AI Program Enterprise Multi-site · FHIR · compliance - Multi-site or multi-region rollout - EHR integration through FHIR APIs - Self-hosted model option - Named engineers on your project - First response under 2 hours, Mon-Sat 10:00-19:00 IST - Ongoing AI monitoring retainer [Discuss Enterprise](https://miracuves.com/contact/) **Running costs sit outside the build price**model usage, speech-to-text minutes and hosting are billed by those providers to your account. We estimate them from your volumes before you commit. ### What affects project cost How many AI features, hosted or self-hosted models, EHR integration, languages and how deep the evaluation goes. Each is itemized in the written quote before payment. ### Typical budget ranges - **Healthcare base**from $2,7996 working days AI layer: scoped quote · 2-8 weeks, milestone billing. Hospital program: multi-site, FHIR integration, compliance - written scope. Example engagement ## What adding AI to a clinic platform looks like in practice An illustrative example of a typical project of this kind, with client details anonymized. Figures show what this kind of build targets, not a named client's results. An illustrative engagement: a multi-specialty clinic group on a telemedicine base wants intake triage and a scribe, without letting either reach a patient unreviewed. 1. **01** ### Challenge Staff answered the same pre-visit questions by phone, and doctors typed notes after hours. Patient data could not reach a model without a BAA and redaction. 2. **02** ### What Miracuves Delivers Symptom intake with red-flag escalation, a scribe that drafts notes for sign-off, and an AI gateway with redaction and audit logging, evaluated on the group's own de-identified cases. 3. **03** ### What It Targets Every clinical draft signed by a clinician, no automatic replies on clinical questions, and fewer repeat intake calls, measured against the pre-launch baseline. **2-8 wks**Custom build window**100%**Notes signed by a clinicianUnreviewed clinical replies [View All Case Studies](https://miracuves.com/portfolio/) Engagement Brief - Base**Practo Clone** - AI features**Triage + scribe** - Timeline**2-8 weeks** - Sign-off**Clinician** - Source**100% owned** Client Reviews ## What Miracuves healthcare and AI clients say Two of these clients run healthcare platforms on the Miracuves base; the third built an AI conversational layer with us. They are real Miracuves clients quoted word for word, not reviews of a healthcare AI project. ★★★★★Client testimonial > "They rebuilt the consultation form, lesion mapping, and a custom billing layer for our treatment packages (acne programs, hair restoration cycles) exactly how dermatologists actually work." *VR***Dr. Vivek Rungta**Founder & Chief Dermatologist, Dermacian*Practo Clone*★★★★★Client testimonial > "Miracuves's MXHealth base covered the patient/doctor apps, video consult, e-prescription and the pharmacy integrations. We added Spanish-language UX across every flow, our asynchronous-queue logic, and a custom regulator module for each country." *CA***Dr. Carlos A. Palermo**Co-founder & CEO, Doctta Health*Practo Clone*★★★★★Client testimonial > "Conversational workflows, knowledge-base integration and the automation layer were already built. We connected our own data sources and tuned multilingual accuracy for support and lead qualification." *CD***Cyril Darmon**Founder & Coach, Coachs Online*AI Workflows* **6,000+**Clients served**3,900+**Apps published**35+**Industries served[Read All Reviews](https://miracuves.com/reviews-awards/) Why Miracuves ## Six places to check us before you ever call us Each one is either run by someone else or open to anyone. Check them in any order; the whole list takes about a minute. [Why clients choose Miracuves](https://miracuves.com/why-us/) [**01** ### Company registration Miracuves Solutions Pvt. Ltd., CIN U62099MH2023PTC406639. Search the CIN on the Ministry of Corporate Affairs portal. mca.gov.in](https://www.mca.gov.in/) [**02** ### Every number, sourced Projects, clients, prices and timelines, each one defined and sourced on our public facts ledger. miracuves.com/facts](https://miracuves.com/facts/) [**03** ### Reviews on Clutch Client reviews published by Clutch, an independent B2B review platform, not by us. clutch.co](https://www.clutch.co/profile/miracuves-solutions) [**04** ### Reviews on GoodFirms A second, separate review platform. Read what clients wrote there too. goodfirms.co](https://www.goodfirms.co/company/miracuves-solution) [**05** ### The product itself Web app, admin panel and APK with printed credentials. Try the real thing before a single call. miracuves.com/solutions](https://miracuves.com/solutions/) [**06** ### Clients, by name Named clients describing their launches, in their own words. miracuves.com/client-testimonials](https://miracuves.com/client-testimonials/) ### Three promises we would stake the company on Every promise on this site rests on these three. Each one is something you can check, not something you have to take on trust. - #### 01People you can name Our leadership is public, with real LinkedIn profiles, not a stock-photo team page. A named team works your build and sends you progress on WhatsApp every working day. [Meet the leadership](https://miracuves.com/leadership/) - #### 02Proof over promises Every number we publish, pricing, timelines, project counts, is defined and sourced on a public facts ledger. If we can't back a claim, we don't make it. [Read the facts ledger](https://miracuves.com/facts/) - #### 03A process with a deadline Ready-made platforms go from kickoff to live deployment in 6 working days, guaranteed: miss it for reasons on our side and we work free until launch. Custom builds get a fixed quote after a free feasibility study. [Get a feasibility study](https://miracuves.com/schedule-consultation/) Explore Miracuves ## Miracuves AI and healthcare - the pages around this one The healthcare platform this AI layer sits on, the AI disciplines behind each feature, and the teams that build them. [Vertical**Healthcare app development**The full patient, provider and admin platform under the AI layer.](https://miracuves.com/service/healthcare-app-development/)[AI**AI development**Custom models and AI features outside healthcare too.](https://miracuves.com/service/artificial-intelligence-development/)[AI**LLM development**Language-model applications, gateways and evaluation.](https://miracuves.com/service/llm-development/)[AI**NLP development**Text classification and extraction, as used in message routing.](https://miracuves.com/service/nlp-development/)[AI**Computer vision**Reading scanned reports and prescription images.](https://miracuves.com/service/computer-vision-development/)[Hire**Dedicated teams**An embedded AI team when the roadmap runs past one feature.](https://miracuves.com/service/dedicated-teams/) Related Solutions ## Explore Miracuves AI and healthcare pages Ready-made healthcare bases and the AI services that sit alongside this page. [Telemedicine**Practo Clone**](https://miracuves.com/practo-clone/)[Pharmacy**1mg Clone**](https://miracuves.com/1mg-clone/)[AI**AI Consulting**](https://miracuves.com/service/ai-consulting/)[AI**RAG Development**](https://miracuves.com/service/rag-development/)[AI**AI Voice Agent Development**](https://miracuves.com/service/ai-voice-agent-development/)[AI**AI Agent Development**](https://miracuves.com/service/ai-agent-development/)[AI**Machine Learning Development**](https://miracuves.com/service/ml-development/)[AI Product**ChatGPT Clone**](https://miracuves.com/chatgpt-clone/) Frequently Asked ## AI in Healthcare Software Development - FAQ Something not covered here? Ask on WhatsApp and you will usually have an answer within two hours. [Ask us directly](https://wa.me/919830009649) Does the Practo base already include AI features? The Practo Clone product page lists an AI-powered symptom checker and predictive health insights among its features, and a Health AI Chatbot as an add-on. The pharmacy bases list prescription image reading. The scribe, report summarization, message routing and no-show prediction are custom work on top, quoted in writing and built in 2-8 weeks. Will the AI ever reply to a patient on its own? Not on clinical questions, unless you decide otherwise in writing. By default, clinical replies are drafts that a staff member approves. Administrative messages, such as booking confirmations and reminders, can go out automatically, and anything that matches your red-flag list goes straight to a person. Which AI models does Miracuves use for healthcare? We integrate hosted models such as GPT, Claude and Gemini, open models such as Llama that can run on your own servers, and Whisper-class speech-to-text for the scribe. The choice is made per feature, by accuracy on your test cases, where the data may go and running cost. The gateway lets you switch later. Can the AI medical scribe write into our EHR? Yes, as custom scope. The scribe produces a draft note that the clinician edits and signs; through the EHR's API, often FHIR, the signed note is written back to the chart. Without an API, the note is copied from the review screen. EHR write-back is quoted separately and depends on your EHR vendor's access terms. How accurate is an AI symptom checker or scribe? It depends on your patients, specialty and language, so we do not quote an accuracy figure in advance. We measure it: the feature runs against de-identified cases from your service, a clinician reviews the results, and it launches only when it meets the pass mark you agreed. Monitoring continues after launch. Who owns the prompts, the models and the patient data? You do. The source code, prompts, evaluation sets and pipeline configuration are transferred to your account. Patient data stays in your hosting, and model calls run through your own provider accounts, with the settings that keep your data out of model training where the provider offers them, documented at handover. Can Miracuves add AI to a healthcare platform it did not build? Yes. If your platform has APIs or a database we can reach, the AI layer is built alongside it as custom work of 2-8 weeks, quoted after a short technical review. The gateway, review screens and audit log are the same; only the integration points change. We confirm feasibility before any payment. What support comes after an AI feature goes live? Every build includes 60 days of guidance after launch, and ready-made bases add 6 months of priority fixes and 12 months of product evolution. For AI features, ongoing monitoring, model upgrades and re-evaluation can run on a retainer. First response is under 2 hours, Monday to Saturday, 10:00-19:00 IST. Get Started ## Ready to put AI to work in your clinic or hospital? Tell us which task eats your team's time. Miracuves scopes the AI feature, the base if you need one (from $2,799), and the evaluation plan, in writing. **$2,799**Bases from**2-8 wks**Custom AI layer**BAA**We can sign**100%**Code and prompts [WhatsApp - Start Now](https://wa.me/919830009649)[Book a Free Consultation](https://miracuves.com/schedule-consultation/)[Scope a Healthcare AI Feature](https://miracuves.com/contact/) NDA signed before we discuss your project Page reviewed by Miracuves Healthcare AI Team · Last updated September 2026 · [Clutch & Google Reviews](https://miracuves.com/reviews-awards/) ## Disclaimer **Miracuves is an independent software development company.** We are not affiliated with, connected to, sponsored by, or endorsed by any of the brands or platforms named on this page. Names of the form “Brand Clone” are used descriptively: it is how the software industry refers to building a platform with functionality comparable to a known service, and how clients search for it. The entire design and codebase of our products is built by our own team and contains no code, design, graphics, or content originating from any third-party website or application. All third-party names and marks are the property of their respective owners. [Full Legal Notice & Disclaimer](https://miracuves.com/disclaimer/)