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Empowering Diagnoses with Generative AI

The Future of Healthcare Intelligence

Elevate patient care and diagnosis by leveraging generative AI to sift through intricate health data.

Generative AI

MedTech Solutions is at the forefront of offering expansive, varied datasets designed specifically to fuel generative AI applications in the healthcare sector. With a comprehensive grasp of the unique demands of medical AI, our mission is to supply data frameworks that promote precise, swift, and pioneering AI-driven diagnoses and treatments.

Healthcare Generative AI Use Cases

Question & Answering Pairs

1. Question & Answering Pairs​

Our certified professionals review healthcare documents & literature to curate Question-Answer pairs. This facilitates answering questions like suggesting diagnostic procedures, recommending treatments, & assisting doctors in diagnosing and providing insights by filtering relevant information.

Our healthcare specialists produce top-tier Q&A sets:

  • Creating surface-level queries
  • Designing deep-level questions
  • Framing Q&A from Medical Tabular Data

For robust Q&A it’s imperative to center around:

  • Clinical Guidelines & Protocols
  • Patient-provider Interactions Data
  • Medical Research Papers
  • Pharmaceutical Product Information
  • Healthcare Regulatory Documents
  • Patient Testimonials, Reviews, Forums

2. Text Summarization

Our healthcare specialists excel in distilling vast amounts of information into clear & concise summaries i.e., doctor-patient conversation, EHR, or research articles, we ensure that professionals can quickly grasp core insights without having to sift through the entirety of the content.Our offerings include:

Text Summarization
  • Text-based EHR Summarization: Encapsulate patient medical histories, treatments, into easily digestible format.
  • Doctor-Patient Conversation Summarization: Extract key points from medical consultations
  • PDF-based Research Article: Distill complex medical research papers into their fundamental findings
  • Medical Imaging Report Summarization: Convert intricate radiology or imaging reports into simplified summaries.
  • Clinical Trial Data Summarization: Break down extensive clinical trial results into most crucial takeaways.

3. Synthetic Data Creation

Synthetic data is critical, especially in the healthcare domain, for various purposes such as AI model training, software testing, and more, without compromising patient privacy. Here’s a breakdown of the listed synthetic data creations:

3.1 Synthetic Data HPI & Progress Notes Creation

The generation of artificial, but realistic, patient data that mimics the format & content of a patient’s history of present illness (HPI) and progress notes. This synthetic data is valuable for training ML algorithms, testing healthcare software, & conducting research without risking patient privacy.

Synthetic Data HPI & Progress Notes Creation
3.2 Synthetic Data EHR Note Creation

This process entails the creation of simulated Electronic Health Record (EHR) notes that are structurally and contextually similar to real EHR notes. These synthetic notes can be used for training healthcare professionals, validating EHR systems, and developing AI algorithms for tasks such as predictive modeling or natural language processing, all while maintaining patient confidentiality.

Synthetic Data EHR Note Creation
3.3 Synthetic Doctor-Patient Conversation Summarization in Various Domains

This involves generating summarized versions of simulated doctor-patient interactions across different medical specialties, such as cardiology or dermatology. These summaries, although based on fictional scenarios, resemble real conversation summaries and can be used for medical education, AI training, and software testing without exposing actual patient conversations or compromising privacy.

Synthetic Doctor-Patient Conversation Summarization in Various Domains

Core Features

Comprehensive Data

Our vast collection spans various categories, offering an extensive selection for your unique model training.

Diverse Use Cases

From text & image generation to music synthesis, our data sets cater to various generative AI applications.

Quality Assured

We follow stringent quality
assurance procedures to ensure data accuracy, validity, and relevance.

Custom Data Solutions

Our bespoke data solutions cater to your unique needs by building a tailored dataset to meet your specific requirements.

Security & Compliance

We adhere to the data security & privacy standards. We comply with GDPR & HIPPA regulations, ensuring user privacy.