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Healthcare AI Consulting

We provide healthcare AI consulting to help improve people’s lives in many ways. Algorithms open new doors to deeper insights, advance patient care, and accurate diagnosis. Are you ready to see how healthcare can change? We’ll gladly show you the difference!

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Our Healthcare AI Consulting Services & Solutions

  • Healthcare AI Strategy Development

    Artificial intelligence is an exciting technology, but how can you approach it? We help define an AI vision based on healthcare providers’ strategy and tech structure. It includes setting attainable goals and creating a roadmap for AI implementation.

  • AI Integration and Implementation

    Need a helping hand to put in place healthcare AI? The CHI team knows how to act. We will assess your infrastructure and integrate the tools working for your goals. We also provide employee training to make AI a solid foundation for your growth.

  • Clinical Decision Support Systems

    Our engineers deliver AI systems that help doctors and nurses make better decisions. These solutions give AI medical consultations in the form of individual advice. They help determine the issue, provide personalized treatment plans, and keep patients safe.

  • Remote Monitoring of Patient Outcomes

    AI is the best technology to help patients stay connected and looked after, even from home. We build solutions that give patients health tips. They remind them to take meds and watch their healthcare outcomes.

  • Medical Imaging Analysis

    This is a new era of early disease diagnostics and monitoring! We design and deploy computer vision models for analyzing X-rays, MRIs, and CT scans. Now, you can save thousands of lives by reducing medical errors and predicting undesirable effects in the future.

  • Natural Language Processing (NLP) for the Healthcare

    Understanding human languages is key. It makes NLP invaluable for digging through medical data. We will help you process doctor notes, research articles, and even patient feedback. Our goal is to find every important bit of information. Thanks to AI, paperwork will be a quick task to tackle off the to-do list.

What Are the Main Benefits of AI in Healthcare?

  1. Operational Efficiency Innovative AI solutions can handle everything. They can manage patient appointments, sort medical records, and predict ER peak times. It allows healthcare providers to optimize their staff and cut patient wait times.

  2. Cost Reduction Automated systems reduce the need for a large administrative staff. They also reduce errors that cause losses in the healthcare industry. Besides, AI can lower expenses for misdiagnosis or ineffective treatments.

  3. Predictive Analytics AI analyzes patient data from electronic health records (EHRs), wearables, and other sources. It does this to improve the data and analytics experience. They predict which patients are likely to develop certain conditions. For example, diabetes or heart disease. Also, it’s your opportunity to forecast outbreaks and efficiently manage hospital resources.

  4. Treatment Personalization AI algorithms boost personalization. They use health data from a patient's genes, lifestyle, and even social factors. It gives way to individual treatments, not just based on general guidelines. It can improve patient outcomes where one-size-fits-all approaches are less successful.

  5. Enhanced Diagnostic Accuracy Healthcare AI tools are especially good at interpreting medical images (X-rays and MRIs). They are sometimes more accurate than human professionals. For chronic diseases or conditions where time is critical, AI can be a lifesaver.

  6. Improved Patient Engagement AI apps give personalized health tips. They also remind patients to take meds or help with their rehab. Such an approach can lead to better healthcare outcomes and higher patient satisfaction.

AI Tech Stack We Use to Help You Succeed

  • Machine Learning / Data Analysis Frameworks

    • scikit-learn
    • SciPy
    • LightGBM
    • XGBoost
    • pandas
    • NumPy
    • Prophet

  • Deep Learning / Natural Language Processing Frameworks

    • NLTK
    • fastText
    • spaCy
    • PyTorch
    • TensorFlow
    • Keras
    • Hugging Face
    • Stanford CoreNLP
    • Gensim, Rasa
    • GATE

  • Computer Vision Frameworks

    • OpenCV
    • PyTorch
    • TensorFlow
    • TensorFlow Lite
    • Keras
    • Dlib
    • Tesseract
    • CUDA
    • Core ML
    • MediaPipe

  • Classification

    • K-nearest neighbors (KNN) algorithm
    • support vector machines (SVMs)
    • feedforward neural network (FNN)

  • Clustering Specific Algorithms

    • DBSCAN
    • k-means
    • self-organized feature maps (SOFM)

  • Anomaly Detection and Generation

    • Isolation Forest algorithm
    • variational autoencoder (VAE)

  • Signal Processing

    • Fourier and Wavelet transform
    • MFCCs
    • k-Shape clustering
    • dynamic time warping (DTW)

  • Python Visualization Tools

    • Matplotlib
    • Seaborn
    • Plotly/Dash

  • Dimensionality Reduction

    • Principal component analysis (PCA)
    • t-SNE

  • Time Series Prediction

    • ARIMA
    • SARIMA
    • ARMA

AI Healthcare Consulting Process

  1. Needs Assessment and Strategy Development

    Our healthcare AI consultants should understand your organization on a deeper level. We examine existing healthcare systems to come up with a list of AI opportunities.

    • A report with potential AI use cases and sets strategic goals for AI implementation
  2. Solution Design and Planning

    Here, we must plan out our work, pick a tech stack according to project goals, and consider possible risks. Our team makes sure that you know what to expect from our healthcare AI consulting services.

    • Detailed solution blueprints. including software requirements, data infrastructure, and a project roadmap
  3. Data Preparation and Governance

    The healthcare industry is vulnerable in terms of data processing and security. So, we establish a reliable patient data infrastructure and guarantee its ethical use. Our team takes every measure to address possible privacy concerns.

    • A data repository that covers data quality, privacy, and regulation compliance (like HIPAA)
  4. AI Model Development and Training

    t is the fundamental stage of healthcare AI consulting. Here, we develop and train AI models, using the data prepared at the previous stage. Machine learning and deep learning allow us to achieve the best results.

    • Custom AI models trained to perform specific tasks defined in the project plan
  5. Integration and Implementation

    Now, the software must become part of your existing healthcare IT ecosystem. We ensure the solution's compatibility with current workflows for the best possible results.

    • An AI solution integrated into clinical processes with support structures for troubleshooting
  6. Testing and Validation

    Next, it is crucial to test the healthcare AI tool in real-world settings. At this stage, we check the software’s accuracy, reliability, and user experience.

    • Testing reports with adjustments based on clinical and operational standards
  7. Deployment and Go-Live

    t’s time to release the AI solution and make it a part of healthcare delivery and operations.

    • Fully operational AI software utilized in clinical and administrative daily tasks
  8. Monitoring and Continuous Improvement

    We provide continuous AI monitoring to help you maintain the desired software performance. Our team also reacts to feedback from your staff and users to plan out and execute software updates.

    • Ongoing performance reports, along with iterative updates and enhancements

Client Testimonials


The Vodafone company successfully works with the mobile phone insurance company "Shid-Zahid", and the main criterion of the project’s success is the use of the INRISK platform, an online insurance portal developed by CHI Software. The concept of the INRISK platform fully coincides with the Vodafone Ukraine strategy to digitize offered services and shift them towards paperless technologies.
We can recommend СHI Software as a highly professional solution for insurance business management.

olena myronenko
Olena Myronenko

Director of VF Retail LLC


We needed to transfer a bank of services from IBM to Amazon for about 10 partially interconnected products. Also, we required databases and outdated products to be refactored. CHI Software provided us with a dedicated team for each product. The logic layers were rewritten for Amazon and managed by CHI experts in non-practical databases. The development ran smoothly, and we are more than satisfied with the work done.

Evgeny Borisov
Yevgen Borisov

Big Data Technical Leader at NAYA Technologies


Media Markt worked with CHI Software for over 4 years. During this time the CHI team made important contributions to our e-commerce projects and to one of our core proprietary technologies in the area of distributed data synchronization. Alongside outstanding technical skills, these engineers have always been highly reliable in terms of quality and deadlines. Taking into consideration my experience, I would highly recommend working with the CHISW engineering team.

Bulat Rakhimberdiev
Bulat Rakhimberdiev

Solution Manager, Media Markt


To deliver the project on time, the CHI Software team stepped above the time limits and demonstrated high personal engagement. The technical level of the team and management was beyond our expectations. We will surely continue our cooperation in the future.

Shigenori Sato
Shigenori Sato

Founder of Pax Creation Asia


AI in healthcare operations is incredible! These are more details to prove our point.

  • What is AI-enabled healthcare development? arrow

    AI-infused healthcare development involves integrating various artificial intelligence technologies into healthcare providers’ operations. It uses algorithms to analyze complex medical data and assist in diagnostic processes. It also minimizes medical errors, personalizes treatment plans, and enhances operational efficiency.

  • What advantages does CHI Software's AI expertise offer to my healthcare business? arrow

    We are experts in various technologies to help you succeed. They include natural language processing, computer vision, machine learning, and more. Plus, our engineers are involved in scientific research, meaning they can help you reach the forefront of tech innovation. Finally, CHI Software has an ISO certificate. We know how to manage historical patient data.

  • What steps are involved in healthcare AI consulting? arrow

    Our medical AI consulting flow has nine steps. It goes from discovery to monitoring a finished AI solution. We help build solid AI strategies and prepare data for them. Then, we pick an optimal tech stack and plan out our work. Our engineers can next build AI models and test them. In other words, CHI helps healthcare organizations at any stage of AI integration.


The new era in healthcare is waiting for you!

We are here to help you adapt to changes using intelligent algorithms.

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