AI in Healthcare

AI in Healthcare

With data science and artificial intelligence in healthcare, we help your organization advance medical products and services, streamline processes, and build data-driven business models.

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Your Experts for AI in Healthcare

How AI in Healthcare creates Value

The healthcare industry is undergoing profound change: rising costs, increasing regulatory requirements, workforce shortages, and growing volumes of data are intensifying the pressure to act. AI in healthcare enables your organization to address these challenges with data-driven, scalable solutions.

Artificial intelligence in healthcare supports you across the entire value chain from research and development to production and quality assurance, all the way to patient care. AI systems enable more precise analyses, faster decision-making, and better use of existing data sources.

As an experienced partner, we support pharma, medtech, healthcare, and digital health organizations in implementing AI and data science solutions, always with a strong focus on regulatory compliance, data quality, and sustainable scalability. Schedule a consultation to explore your opportunities with AI in healthcare and benefit from our experience in more than 1,000 data and AI projects. We look forward to connecting with you!

Use Cases for AI in Healthcare

Drug Development  

Leverage data science and AI to acce­lerate the research and develop­ment of new pharma­ceuticals.

Drug Manufacturing

Optimize production processes with data science and AI solutions to in­cr­ease trans­­parency, quality, and effi­cie­ncy.

Diagnosis and Treatment Recommendations

Use AI in healthcare to generate diag­nostic insights and treatment recom­men­dations based on medical images and other data sources.

Quality Control

Monitor and enhance product quality using data-driven and AI-powered approaches.

Wearables

The growing adoption of wearables generates large volumes of data for a wide range of healthcare applications.

Predictive Maintenance


Prevent machine or vehicle downtime through early detection of defects and maintenance needs.

Patient Forecasting

Use forecasting models to accurately predict future patient volumes.

Intelligent Search Engines

Leverage state-of-the-art NLP algo­ri­thms to efficiently and accurately search large volumes of structured and un­structured data.

Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours

Our strength

statworx is one of the leading Consulting and Development Companies for Data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
ml flow
AI Hub
nvidia
Airflow
DataRobot
OpenAI
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
OpenAI
DataRobot
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

Artificial Intelligence in Healthcare: For better Decision-Making

A closer look reveals how artificial intelligence in healthcare can sustainably improve both operational and strategic processes within your organization. Modern AI models help detect risks early, allocate resources more effectively, and provide objective foundations for decision-making. Especially in highly regulated environments, data science and AI create transparency, traceability, and a reliable data foundation for informed decisions.

Today, new AI technologies unlock significant potential for healthcare organizations. Applications range from research and development of new drugs to the analysis and optimization of production and operational processes, as well as AI-powered diagnostics and digital therapies. The growing adoption of wearables also generates vast amounts of health data that can be analyzed using artificial intelligence to enable personalized care models and innovative healthcare services.

The result: solutions that enhance medical quality, increase operational efficiency, and create new data-driven business models in healthcare. Data science and AI not only strengthen your organization’s capacity for innovation but also contribute sustainably to the advancement of modern healthcare delivery.

Request your AI healthcare project today

Implemented AI Healthcare Projects

Optimizing Billing Processes with AI-Powered Recommendations

We developed a solution to enhance the accuracy and completeness of invoices for medical practices and hospitals.

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Optimizing Billing Processes with AI-Powered Recommendations
Case study

Semantic Search Engine for R Code

We developed a semantic search engine for a leading pharmaceutical company that identifies relevant R code snippets through natural language queries, thereby improving developer efficiency.

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Semantic Search Engine for R Code
Case study
  • Forecasting

Optimized Liquidity thanks to Forecasting Engine

Inaccurate liquidity forecasts hampered the creation of effective financial strategies for our client. Our forecasting engine, which generates predictions for a variety of liquidity time series, significantly increases the accuracy and speed of forecasts, enabling substantial cost savings.

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Optimized Liquidity thanks to Forecasting Engine
Case study
  • Health & Pharma
  • Strategy

AI Use Case Workshop

In this project, we collaborated with our client, an international pharmaceutical and healthcare corporation, to plan and implement a series of AI use case workshops.

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AI Use Case Workshop
Case study
  • Health & Pharma
  • NLP

Covid Research Support with NLP

In this project, a solution was developed to facilitate the organization-wide research of SARS-CoV-2 by automating the analysis of documents using NLP.

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Covid Research Support with NLP
Case study
  • Health & Pharma
  • Quality Analytics

Quality Analysis in Endoprosthetics

In this project, we evaluated a long-term study on the quality and efficacy of a permanently implanted device for an international medical devices corporation.

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Quality Analysis in Endoprosthetics
Case study
  • Health & Pharma
  • Quality Analytics

Limit of Detection Analysis Medical Devices

In this project, we tested and compared the detection limits for mycoplasma across various devices for a European company.

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Limit of Detection Analysis Medical Devices
Case study
  • Health & Pharma
  • Training

Financial Analyst ML Training

With a tailored training program for aspiring financial analysts, we supported our client in the pharmaceutical sector in designing and implementing a major training initiative for the use of data visualization and predictive analytics.

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Financial Analyst ML Training
Case study
  • Health & Pharma
  • MLOps

Data Product Operationalization

In this project, we developed various deployment scenarios for an existing forecasting model of our client.

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Data Product Operationalization
Case study
  • Health & Pharma
  • Strategy

OpsModel Scaling Concept

To enable our client to efficiently scale their growing data science initiative, we developed an operational model perfectly tailored to their needs.

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OpsModel Scaling Concept
Case study
  • Health & Pharma
  • Computer Vision

Faster and more precise automated tumor detection

A computer vision model automatically determines the precise extent of brain tumors in MRI images to refine and accelerate therapeutic decisions.

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Faster and more precise automated tumor detection
Case study
  • Health & Pharma
  • Training

AI & Data Literacy Training

To prepare the employees of a world-leading pharmaceutical company for the challenges and opportunities of the data and AI revolution in the workplace, we designed a twelve-hour specialized training on data literacy and AI fundamentals.

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AI & Data Literacy Training
Case study
  • Health & Pharma
  • GenAI

Efficiency improvement in Software Development using Generative AI

To reduce the effort required for data integration, we developed a language model for our client that can better search existing programming code and generate suggestions.

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Efficiency improvement in Software Development using Generative AI
Case study
  • Health & Pharma
  • GenAI

Efficiency Improvement through automated Extraction of Data from PDF Documents

In this project, AI enabled the automated extraction of relevant data from PDF documents of clinical studies, resulting in a 500-fold increase in speed, more precise results, and a significant reduction in manual effort.

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Efficiency Improvement through automated Extraction of Data from PDF Documents
Case study
  • Health & Pharma
  • GenAI

Personalized Employee Development using Generative AI

An interactive chatbot based on OpenAI GPT-3 supported the introduction of a new agile framework and increased its acceptance and usage within the company.

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Personalized Employee Development using Generative AI
Case study
  • Health & Pharma
  • Deep Learning

AI-Based Detection of Drug Interactions

We developed an approach to use causal machine learning to analyze complex drug-drug interactions in heterogeneous patient populations and identify potential safety signals.

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AI-Based Detection of Drug Interactions
Case study
  • Health & Pharma
  • Frontend Solution
  • GenAI
  • Data Culture

Implementation of an Image Prompting Challenge in the pharmaceutical sector

We developed a customised, interactive solution for a pharmaceutical company that wanted to train its employees in the use of generative AI and encourage their creativity and critical thinking.

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Implementation of an Image Prompting Challenge in the pharmaceutical sector
Case study
  • Health & Pharma
  • Training
  • Data Culture

Improving Data Quality with interactive Challenges

An innovative training by statworx improved the understanding of data quality among the employees of a pharmaceutical company, thereby helping to establish a culture of data excellence.

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Improving Data Quality with interactive Challenges
Case study
  • Health & Pharma
  • NLP

Intelligent event analysis and information retrieval with AI

Our client was looking for a solution to extract important events from long, unstructured reports at their worldwide locations. We developed a powerful search system that seamlessly integrates into existing workflows and significantly optimizes information processing.

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Intelligent event analysis and information retrieval with AI
Case study
  • Health & Pharma
  • Strategy

Data Strategy for a leading German hospital

Our client, one of the leading German clinics, wanted to optimize its existing data landscape, which was characterized by a fragmented system landscape, low digital maturity, and lack of user orientation. We developed and implemented a comprehensive data strategy and a data roadmap to sustainably improve data-related processes and technological foundations.

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Data Strategy for a leading German hospital
Case study
  • Anomaly Detection
  • Predictive Maintenance

Enhancing Operational Performance through Anomaly Detection and Predictive Maintenance

We developed a model for our customer to minimize machine downtime and increase production efficiency. Early anomaly detection results in predictive maintenance, which saves costs and reduces unplanned downtime.

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Enhancing Operational Performance through Anomaly Detection and Predictive Maintenance
Case study

Which Companies benefit from AI in Healthcare

With our AI healthcare solutions, we support organizations that want to strategically leverage data and AI to en­hance quality, efficiency, and innovation. This includes pharmaceutical and biotech companies looking to apply AI in drug discovery, clinical trial analysis, or manufacturing, as well as medtech companies aiming to implement data-driven quality control, intelligent products, or optimized development processes.

Hospitals, healthcare networks, and medical service providers also benefit from artificial intelligence in health­care, for example, in patient forecasting, resource planning, or the analysis of medical data. In addition, we work with HealthTech and digital health companies that rely on AI and data science to develop scalable digital health­care solutions.

Regardless of your organization’s size or level of maturity, if you aim to make data-driven decisions or build new AI-powered services, we support you from initial idea to full imple­men­tation.

AI in Healtcare: Our Services

AI Consulting

Our consulting services focus on both technical and methodological skills, data literacy, and data culture, utilizing interactive and inspiring learning methods. We provide training for beginners, specialists, and executives.

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AI Starter Offerings

Are you just beginning your data and AI journey? We offer various workshops, training sessions, and ready-to-use AI solutions that are perfect for taking the first steps with data science and AI.

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AI Solutions

We develop data science and AI solutions tailored to your require­ments. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.

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AI Trainings

Whether technical or methodological skills, data literacy, or data culture - our formats rely on interactive and inspiring learning methods. We train beginners, specialists, and executives.

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Contact our AI in Healthcare Experts

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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AI in Healthcare: Frequently asked Questions and Answers

How can AI be applied in the healthcare industry?

AI in healthcare is used in drug discovery, medical diagnostics, quality control, production optimization, as well as patient and capacity forecasting. Wearables, intelligent search systems, and digital therapies also benefit from artificial intelligence in healthcare.

What benefits does artificial intelligence offer my healthcare organization?

AI in healthcare enables your organization to efficiently analyze large volumes of data, automate processes, and make more informed decisions. This leads to higher product quality, improved planning reliability, reduced costs, and new data-driven business models.

Can AI be used in highly regulated healthcare environments?

Yes. AI and data science solutions can be implemented in highly regulated settings, provided that data privacy, transparency, and traceability are ensured. We support you in developing AI solutions that meet regulatory requirements, ensure data quality, and maintain compliance from the outset.

How does statworx support AI healthcare projects?

We provide end-to-end support for AI projects - from identifying suitable use cases to developing data and AI solutions and deploying them into production. In addition, we offer workshops, training sessions, and educational programs to ensure your team can sustainably benefit from artificial intelligence in healthcare.

Marcel Plaschke
More questions?
Marcel Plaschke
Head of Strategy, Sales & Marketing