The future of medicine starts today

The main advantages of using upmedic

Onboarding takes only 30 minutes

Structured speech recognition

Language that fits your style

Create a patient report in 4 simple steps

STEP 1

Create an account

The first step is often the hardest, but not with us! Setting up your account takes just a few minutes. Step into a system with no limits – work whenever and wherever you need.

STEP 2

Create a report in 4 simple steps

Choose from over 100 predefined templates for the most common cases, or effortlessly build your own.

STEP 3

Generate the report

Let intelligent assistance do the heavy lifting. Just input your data, and upmedic generates a clean, structured medical record.

STEP 4

HIS/RIS integration

What do we integrate with? Everything! Export your report directly to the system you already use in daily practice – smooth, fast, and hassle-free.

Frequently Asked Questions (FAQ)

What is upmedic?

upmedic is a platform that supports medical professionals in creating and editing clinical documentation using modern, AI-powered tools.

Who is upmedic for?

It’s for you! upmedic is designed for doctors and other healthcare staff who want to save time and improve the quality of medical records.

What functionalities does upmedic offer?

Automated generation of medical documentation. Template customization. Team collaboration tools. Compliance with medical standards.

Is upmedic secure?

Yes – the platform meets high data security standards, including encryption (both in transit and at rest) and full GDPR compliance.

Do I need to install anything?

No installation required. upmedic works right away in your browser. If you’re using an HIS/RIS system, integration is available via a simple plugin. We also suggest installing upmedic sound agent service for better control over microphone volume.

How do I get started?

Create an account on our website. Your account will be activated within 24 hours and you can begin working on documentation immediately.

Does upmedic offer technical support?

Absolutely. Our support team is available via chat, email, and phone. We’re here to help with anything you need.

Can upmedic integrate with my EMR system?

Yes, upmedic supports integration with popular Electronic Medical Record (EMR) systems and offers API access for larger facilities.

Can upmedic be used across different medical specialties?

Definitely! upmedic AI medical scribe includes dedicated modules for various specialties like internal medicine, pediatrics, orthopedics, psychiatry, and more.

Are tutorials or training materials available?

Yes, we offer video tutorials and training to help users quickly get up to speed with the platform.

Can I use upmedic on mobile devices?

Of course! upmedic operates as a browser-based assistant – just connect to the internet and you’re ready to go.

What capabilities does upmedic provide?

upmedic automates generation of medical documentation, supports voice input, performs case analysis based on clinical criteria, and integrates with HIS/RIS systems – all on desktop or mobile. Speech recognition is available in three modes: ambient, dictation, and assistant. It’s convenient, time-saving, and lets you focus on your patients.

Why use upmedic templates?

Templates help speed up documentation, ensure consistency, and reduce the risk of errors.

Exemplary contextual queries

upmedic enables vast search and patient group identification possibilities. A few examples are presented below:

Clinical trial candidates

Filter by diagnosis to quickly identify potential candidates for clinical studies.

Patients eligible for preventive programs

Structured data captured while using upmedic allow seamless filtering to find patients who qualify for preventive health initiatives.

Filter out healthy patients

Use smart filters to display all documentation concerning healthy individuals within a selected time range.

Patients with lesions

Find out how many patients had oncologic changes – e.g., liver abnormalities – and further refine by gender, age, and other criteria.

Partial response by RECIST 1.1

Display patients showing partial response to treatment and filter by medication type or dosage.

Automated medical history analysis

upmedic automatically parses historical, unstructured clinical data from databases and EMRs. Everything while detecting ICD-10 codes and SNOMED CT concepts with precision.

Trusted by medical professionals around the world

upmedic is trusted by:

Health Venture Lab (GE Health)
HealthCare Lab (Roche)
EIT Health
Lublin Medicine & Wellness Cluster
Hundreds of individual practicioners
PZU Zdrowie
Centra Medyczne Medyceusz
SCANMED
Świętokrzyskie Centrum Onkologii
and many more...

Together, we created and refined a structured medical record editor that uses standard terminology, such as SNOMED CT, and also provides customized templates for describing unusual cases.

Predefined, standardized, and familiar phrases are used, and punctuation is corrected in an automated, adjustable manner, ensuring medical records look aesthetically pleasing and professional.

According to surveys conducted among upmedic users, using our templates covers 80% of doctors' needs when working with medical records, while the remaining 20% can be met using the on-the-fly template customization feature.

Furthermore, patients receive complete, structured documents that look professional yet are understandable. This increases their confidence and leads to greater satisfaction with the quality of care.

Healthcare managers consider upmedic as enabler to adding new capabilities to existing data management systems, rather than being just another system. They also praise the increased productivity.

Integration with existing IT systems in the medical facility

upmedic AI medical scribe integrates with any web-based HIS/RIS, enabling interoperability with all clinical data management systems.

Thanks to built-in artificial intelligence, our model can automatically extract ICD-10 codes and SNOMED CT concepts from unstructured documents.

Key terms

ASR (Automatic Speech Recognition): A technology that enables computers to recognize and convert human speech into text. It is used in voice-driven systems, medical applications, and documentation tools such as upmedic, allowing automatic real-time transcription of user speech.
Medical chatbot: In upmedic, it is an interactive assistant integrated with structured documentation. It enables modification of documentation using natural language prompts.
Checklist: An organized set of tasks or checkpoints that helps systematically carry out processes according to a defined standard. In medicine, it enhances safety and accuracy, especially in examinations, consultations, and clinical procedures. In upmedic, checklists are integrated into structured documentation, helping doctors record data efficiently without omitting key elements.
Structured documentation: A form of medical documentation in which information is recorded in a well-defined manner.
EMR (Electronic Medical Record): An IT system for storing and managing medical records in electronic form.
EDSS (Expanded Disability Status Scale): A comprehensive scale used to evaluate the degree of disability in multiple sclerosis. It accounts for neurological deficits and the patient's functional abilities, enabling monitoring of disease progression and treatment effectiveness.
Medical forms: Sets of fields in HIS and RIS systems used to systematically record clinical data. In upmedic, they can be conveniently completed in a single window – quickly, consistently, and without unnecessary switching.
HIS (Hospital Information System): An integrated IT system used to manage hospital information, including medical records, schedules, patient data, and administrative processes. It facilitates communication between departments and centralizes data management.
Magee Equations: Mathematical models developed based on immunohistochemical data from breast cancer. They are used to predict the outcome of the Oncotype DX test, assess the risk of recurrence and potential benefits of chemotherapy, supporting personalized oncology treatment without the need for costly genetic testing.
PI-RADS (Prostate Imaging Reporting and Data System): A standardized system for evaluating prostate gland changes based on MRI imaging. It aims to determine the likelihood of clinically significant prostate cancer using a scale from 1 to 5, where higher values indicate greater risk.
RECIST (Response Evaluation Criteria in Solid Tumors): An international set of criteria used to assess the response of solid tumors to cancer therapy. It defines clear categories such as regression, progression, or disease stabilization, mainly based on changes in tumor size observed through medical imaging.
RIS (Radiology Information System): IT system specialized in processing radiological information: images, radiological reports and metadata related to efficient radiological workflow.
TT-TG (Tibial Tuberosity–Trochlear Groove Distance): Tibial Tuberosity–Trochlear Groove Distance is an anatomical parameter used in the orthopedic assessment of patellar instability. It determines the distance between the tibial tuberosity and the trochlear groove of the femur, helping to identify patients who may require corrective surgical treatment.
Insall–Salvati Index: The Insall–Salvati Index is a radiological measurement used to assess patellar height. It is calculated as the ratio between the length of the patellar tendon and the length of the patella. This index helps identify abnormalities such as patella alta (high-riding patella) or patella baja (low-riding patella), which may be associated with knee instability or pathology.
NLP (Natural Language Processing): A field of artificial intelligence focused on enabling machines to understand, interpret, and generate human language. In medical technology, NLP is used to analyze clinical texts, extract key information, and support communication with systems through natural language commands.
Speech-to-text: Is a technology that converts spoken language into written text in real time. In healthcare, it facilitates faster documentation by allowing medical professionals to dictate notes directly into electronic health records, streamlining workflows and saving valuable time.
HCP (Health Care Professional): A qualified individual who provides medical services, such as a physician, nurse, pharmacist, or physiotherapist. HCPs are licensed to diagnose, treat, and care for patients in various healthcare settings.