Use of Advanced Medical Analytics and AI in Pharmaceutical

We provide innovative AI for health care solutions that improve patient results and productivity.
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Digital Revolution in Biotechnology

We’ll escort your company through a comprehensive digital transition so you can quickly tackle emerging obstacles and eliminate unforeseen risks.

We are in charge of the following:

  • Several types of different data sources
  • Several branches (e.g. Data providers)
  • Accessibility of data across diverse regions (US, Europe, Australia, etc.)
  • GDPR and HIPAA data lake certification
  • Data Lake will be available for Data Analysts to work on within the first four weeks of the initiative.
  • For processing, any kind of Data Source is provided.
  • For Data Quality and authorization, all data is consumed into the healthcare software systems.
  • All generated data is stored in the Data Lake and is instantly accessible for examination.
  • During the POC, ingestion is added to the healthcare software systems.
  • After ingestion, the Step Functions and AWS Glue process valid data (this includes any ML transformations needed)
  • All processed data is immediately available in Data Lake for analysis.
  • All processed data is posted to the Data Warehouse, where it is accessible to all Data Analysts.
  • To be self-sufficient, the entire pipeline is fully automated and developed with several error retry methods.
  • Stage 3 will include logging and monitoring, as well as a notification mechanism.
  • The architecture allows for scalability to accommodate any load.
  • After the POC, Stage 3 takes 8 to 12 weeks to complete
  • For analysis and visualization, all processed data is uploaded to Redshift.
  • Any subsidiary can have access to Redshift
  • With PowerBI, visualizations and reports are developed on top of Redshift tables.
  • Stage 4 should be completed in the same time frame as Stage 3. (8 to 16 weeks after the POC)

Expertise fields

Unleashing the potential of AI for health care and pharma companies.
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Predictive Analytics and Improving Healthcare Delivery

With excellent predictive analytics tools, you can meet the needs of individual patients and improve AI for health care delivery.
Big data analysis and machine learning can make diagnostics much simpler. Use our machine learning-based predictive algorithms to discover anomalies in inpatient clinical data automatically. Evaluate the findings to fine-tune the therapy strategy and navigate pharmaceutical risks such as adverse reactions and side effects.
Improve patient outcomes by preventing chronic illnesses. You can predict illnesses like diabetes and heart disease by identifying patient-generated data. Predictive analytics techniques will aid in the identification of high-risk patients and the prediction of their future outcomes. Reduce the likelihood of hospitalization by making individualized predictions and treatment regimens.

OCR and Healthcare Business Process Improvement

Do you dislike dealing with paper documents? With our unique OCR solutions, you can seamlessly convert from paper to digital. Capture, retrieve, and extract data to improve healthcare business processes. All types of healthcare documents, such as patient records, medications, claims, reports, and invoices, can be easily digitized using OCR technology.
Enables automatic data entry and data transmission between organizations. To conserve time and money, implement custom OCR software in your hospital for time-consuming procedures.
Create an AI-powered pharmaceutical EHR for accurate clinical forecasts and analytics. Allow for accurate task forecasts and resource allocation, as well as medicine demand. With artificial intelligence in pharmacy, you may gain insights to improve patient outcomes.
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Personalized Care with NLP

Examine medical records to make diagnoses. For intelligent diagnostics, use NLP to retrieve data from clinical documents.
With NLP API software, you can learn more about your clients. Determine your target audience’s age, gender, interests, and other characteristics. Use the information to improve your marketing, retain existing consumers, and attract new ones.
Examine client experience comments on social media to discover how they rank your services. To discover if your patients are content with your brand or if there is potential for improvement, score remarks on individuals, locations, and services. Utilize the information to raise the overall standard of services and treatment.

The Use of Computer Vision in Physical Therapy

AI solutions for healthcare like pose estimation can revolutionize physical therapy. Incorporate pose prediction models into your application to track, predict, and generate therapeutic input on the joints and posture of your patients in real-time.
Bring encouragement and incentive to continue exercising. To traverse the therapy regimen, track the patient’s progress over time.
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  • Сomputer Vision for Customer Services Improvement
    Want to better market your hospital but afraid of being salesy? Impress your patients with Face Recognition Greeting Tool. Recognize and greet patients by the name as soon as they enter the hospital. Integrating our tool into your infrastructure, you’ll deliver great customer service and boost patient retention and referrals with ease.
  • Сomputer Vision for Authentication Procedures
    Today there is a growing demand for different types of personnel authentication tools & technologies for both online and in physical systems. With our robust computer vision algorithms, it’s easy to collect and store facial data. Use the data to verify personnel and provide or ban access to certain areas.

AI & Big Data for Pharma

Scientific Literature and Patents Analysis with Advanced RWE Analytics NLP Cell Image Capture and Analysis for AI Drug Development and Analytics Pharma Companies Can Benefit from Big Data Analytics

Discover insights from sophisticated real-world proof across the whole pharmaceutical value chain to help inspire R&D decisions and enhance trial design, increase patient access, adopt smart targeting and data-driven commercial operations, and enhance pharmacovigilance to respond quickly to adverse events and unfulfilled patient requirements.

Implement artificial intelligence in pharmacy in a safe and controlled way with AI. Use custom NLP solutions for data mining and analysis including smart collection, labeling pharma studies, highlighting relevant information to your queries, and enhancing modeling.

Uncover opportunities in drug development with AI. Produce drug-like molecules, optimize for binding affinity to your protein target, choose most chemically promising leads for further validation using generative modeling, reinforcement learning, and evolutionary algorithms.

Improve your QSAR prediction of ADMET сompound properties with Graph Networks, it’s easy to approximate ADMET properties from the 3D compound structure or SMILES-like molecular representations.

 

Want to make cell analysis easier? Implement automated image capture and analysis for cell imaging. With that, you’ll detect anomalous tissues, segment various types of cells, detect cancerous tissues, and what is the effect of a drug.

 

With custom Big Data solutions, you can easily manage the wealth of data. Gather, store, transit and extract data in a click. Use emerging pharma tech to run analytics and machine learning models with ease. Get the most of data analytics to ensure the success of your pharma company.

 

We Focus on providing Services

On-demand artificial intelligence solutions in the best healthcare software.
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Consulting

Do you have a business issue? Use our AI solutions for healthcare, strong technical expertise, and experience.

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Development of AI solutions for Healthcare

Are you dissatisfied with the packaged healthcare AI solutions software on the market? Allow our technical staff to create custom online or mobile solutions for you.

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Analytics and Business Intelligence for the best Healthcare software

Do you want to learn more about clinical care, administration, and costs? Track KPIs and alter your tactics with analytics and BI technologies.

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QA and testing

We'll make sure your best healthcare software functions smoothly, whether it's document processing healthcare software systems, AI for healthcare apps, or physical therapy.

You Earn Worth

We provide healthcare AI solutions to organizations with our Artificial Intelligence expertise.
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Making Diagnosis Simple

A helping hand when it comes to analyzing big amounts of medical data.
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Patient Care Improvements

Better patient outcomes and patient-centered care.
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Data Security

Your information is secure with you. It’s processed locally.
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Easy-to-understand solutions

Non-tech audiences will find it simple to adapt.
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Automation of Business Processes

Increased operational efficiency and decreased workplace human error.
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Customized Solutions for Your Requirements

You haven’t found the right match yet? Do you require healthcare AI solutions that are customized to your specific requirements?

Why should you work with SITKA?

What makes us your ideal provider of healthcare IT solutions? We have a strong track record of successfully applying artificial intelligence in healthcare businesses, and we’re always ready to help you solve your problems.
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80+ Experts

Modern medical innovations are being shaped by our data scientists and engineers. We have experience developing digital healthcare and MedTech solutions.

Industry-Focused

We keep up with industry developments. We understand our clients' demands and provide them with AI-based solutions to their difficulties.

Reliable

Our clients come first. Our mission is to assist clients in reaching new heights in their enterprises through AI for healthcare innovation.

Want to know about the current state of AI in the healthcare industry, what trends exist, and how this technology combats the COVID-19?

Contact SITKA

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Customer Success

We’ve been leveraging AI in healthcare organizations since 2014. Take a look at some of the most prominent projects we’ve created for our clients from the healthcare industry.
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Pose Estimation for Fitness and Therapy

Improved pose estimation and error detection by 64%.
The client is US-based. They specialize in human activity recognition and motion analysis. They asked InData Labs to develop custom pose estimation models for real-time human pose detection during physical therapy and fitness,
As a result, we built proprietary pose estimation and error detection algorithms to level up the client’s app. The algorithms detect human position and provide feedback on how to correct the moves.
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ML to Improve Period Accuracy Prediction

Increased period prediction accuracy up to 15%.
The client is a media and entertainment company located in Japan. The client needed to advance the overall period prediction accuracy without impacting the app performance.
The benefits from cooperation with InData Labs include:
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BI Implementation for Baby Care Mobile App

Elimination of data bottlenecks.
The client is a US company developing an IOS and Android mobile app related to baby care. The client was looking for a reliable vendor with expertise in data analysis and BI. The client needed to implement data analysis and structure the existing data assets.
During the project we were analyzing and collecting the data. We built dashboards for users and came up with a solution how to streamline reports. As a result, the overall user experience has increased, as well as the content relevance.

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Ready to develop your product?

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AI & Analytics: Trends 2024 and Market Research

A new year brings new technological challenges and business opportunities as well as accelerates the digital transformation in the corporate landscape.

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