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How AI services in healthcare empower business processes

We provide healthcare AI consulting and development services and build solutions to scale your success


medical staff state that AI has significantly improved their workflow.


Get better patient outcomes with AI

AI-based solutions are able to help improve patient outcomes when it comes to serving patients from remote areas, helping patients with chronic conditions and early diagnosis.

Computer-aided detection and diagnosis

Improve accuracy, speed up the diagnosis process, and ultimately enhance patient care and outcomes in various medical specialties.

Remote patient monitoring

Analyze real-time data from wearable devices, identify trends, and provide proactive insights for timely interventions and personalized care.

Medication management

Implement reminders, personalized dosing recommendations, and real-time monitoring to improve chronic disease management.


Boost communication efficiency

AI services in healthcare positively impact the communication experience, making it possible to use intelligent responses, personalize interactions, and translate sessions in real time.

Virtual assistants and chatbots

Enhance user experience and provide efficient support with intelligent responses, personalized interactions, and natural language processing tools.

Natural language processing for teleconsultations

Facilitate effective communication and document responses by enabling secure accurate transcriptions based on NLP.

AI-powered translation services

Connect patients and healthcare specialists with different linguistic backgrounds providing real-time language translation.


Automate hospital management

Automation of scheduling, reports creation, and resource allocation along with a decision support system are perfect examples of how AI is used in healthcare industry.

Team management automation

Increase team efficiency by optimizing staff scheduling, improving resource allocation, and facilitating workload distribution.

Predictive maintenance

Minimize costly repairs and optimize equipment performance by analyzing equipment data and identifying patterns of potential failures.

Decision support system

Improve operational efficiency using AI to analyze vast amounts of data and get insights to make data-driven management decisions.


Streamline reimbursement claims

Use the power of AI to save costs and reduce mistakes during claims submissions, implementing tools for fraud detection and reimbursement processing automation.

Automated reimbursement claims processing

Accelerate the claims process, reducing errors, and optimizing reimbursement workflows for faster and more efficient reimbursement from insurance providers.

Insurance eligibility verification

Reduce claim denials, improve reimbursement rates, and minimize financial losses by automating insurance eligibility verification with AI.

Fraud detection and prevention

Safeguard against financial losses by using AI-powered solutions to prevent and detect fraud, identifying suspicious patterns, and enhancing the overall integrity of healthcare systems.


Implement data-driven analytics

AI services in healthcare aimed at data analytics, standardization, and forecasting can help your business gain scalability as well as assist you in process optimization.

Data interpretability

Understand the analytics and make data-driven decisions by implementing data standards and ensuring its interpretability.

Data standardization

Improve administrative operations by using data standards and ensuring its security, high quality, interoperability, and reliability.

Advanced analytics

By leveraging AI, you can improve diagnostic accuracy, create personalized treatment planning, and optimize routine tasks.

Overcome key healthcare challenges with AI

Custom AI solutions can address the most common software challenges in healthcare organizations.

With Akvelon’s help, you master your data

Process diverse data types

  • EHR
  • Medical imaging
  • Wearable device data
  • Clinical trials data
  • Health insurance claims data

Solve data imbalance issues

  • Oversample minority classes
  • Adjust class weights
  • Detect anomalies
  • Use stratified sampling

Increase the quality of data

  • Data cleansing
  • Data integration
  • Data standardization
  • Data de-identification
  • Data augmentation

Ensure data interpretability

  • Model documentation and reporting
  • Transparent model architectures
  • SHAP technique
  • LIME technique
  • Explainable machine learning

Exclude data bias factors

  • Adversarial debiasing
  • Regularization
  • Data preprocessing
  • Balanced sampling

Secure and protect health data

  • Data encryption
  • De-identification
  • Access control and authorization
  • Privacy-preserving machine learning
  • Privacy impact assessment 

clinicians affirm that AI has had an influence on the handling of patient data, resulting in increased accuracy and speed of the processes.

Let’s discuss how AI-driven solutions can empower your organization!

Akvelon’s relevant expertise

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Have a question?

Does Akvelon team have experience in creating AI-driven projects?

Yes, Akvelon team has created multiple projects based on AI. Please, check them out:

  • PHI Data De-identification
  • MeowTalk
What if we already have a project that needs some changes or more features?

Akvelon’s team will gladly provide you with healthcare AI consulting services as well as assist you in adding more features, scaling, or rebuilding your software solution according to your vision and business needs. Please, contact us here for more details.

What data is used to train AI? Are HIPAA standards violated?

Akvelon’s team goes through regular training in order to deeply understand HIPAA compliance requirements and ensure we can handle the PHI-related tasks. We are able to create sample data to test different healthcare-related projects, avoiding patient data identification, or de-identify it with AI.

How does AI reduce costs in healthcare?

AI can automate tasks such as data entry, administrative workflows, and repetitive activities, freeing up healthcare professionals' time and reducing labor costs. Another approach is to use AI to optimize resource allocation, improve inventory management, and reduce waste. 

Additionally, AI-driven precision medicine and personalized treatment approaches can help optimize treatment plans, reducing unnecessary procedures, adverse events, and associated costs, providing healthcare organizations a  competitive edge and allowing them to set lower prices for services they provide in order to attract more clients.

The future of your AI-driven project starts here

Contact us to discuss the details