Medical Solutions

Remote Patient Monitoring

Discover how we use advanced telemedicine platforms and wearable wearable sensors to ensure seamless monitoring for patients.

Our Wearables

Added value

The technical developments that we have brought together for the first time in this telemedical solution in the form of a medical wearable are revolutionising patient therapy and enabling hospitals to monitor post-operative patients seamlessly in real time. Mobile vital signs monitoring allows patients to be transferred to outpatient care more quickly, thereby increasing intensive care capacity. Their state of health is permanently monitored at all times using biosensors so that risks are recognised at an early stage.

This is made possible by

powerful, reliable and accurate wearable vital signs sensors,
the use of digital telemedicine such as cloud and edge computing,
as well as rapid deployment, set-up and ongoing support from our experts.

Advantages for hospitals: Digital monitoring saves resources

Digital monitoring
Saves resources
Permanent, but ward-independent real-time monitoring
Patient monitoring requires fewer staff
Cost savings thanks to rechargeable biosensors
High patient acceptance thanks to compact design and unrestricted freedom of movement
Data collection for analysis, optimisation and renewal of treatment methods
Low ecological footprint due to reuse of the wearables

HMS Wearables

Temperature sensor

ECG-sensor

SPO2-Monitor

Blood pressure monitor

Measurable vital signs and cardio characteristics

Single-channel ECG
Heart rate
Respiratory rate
Heart rate variability
Body temperature (auxiliary)
Oxygen saturation (SpO2)

Highlights of the HMS wearables

Real-time streaming of vital data
Reusable, rechargeable
IoT-capable
splash-proof
Ultra-light and flexible
easy handling

HMS Wearable: Bluetooth sensor with cloud monitoring

Complete integration of the RPM solution into existing IT systems
Scalable monitoring at any time, suitable for various clinical scenarios as medical device certified biosensors
Compliance with all data security, governance and data protection guidelines

Complete integration of the RPM solution into existing IT systems
Scalable monitoring at any time, suitable for various clinical scenarios as medical device certified biosensors
Compliance with all data security, governance and data protection guidelines

Reduce resources with digital patient monitoring "Remote Patient Monitoring"

Reduce manual effort
With our scalable RPM solution, numerous patients can be monitored automatically, continuously and in real time. The measurement of vital signs is reliable and is not falsified by the wake-up effect or similar.

Focussing care time
Using the real-time measurements from the biosensors, care can be focussed on the patients most in need of treatment.

Recognising hazards at an early stage
Early detection of deterioration in vital signs and therefore rapid intervention are possible. The probability of serious complications is reduced.

Data protection and data security
HMS Analytical Software's Remote Patient Monitoring solution fulfils strict data security, governance and data protection guidelines. All data is protected in accordance with data protection laws and regulations.

Continuously optimise treatments
Use of the data from the vital parameter measurements for further analysis and interpretation, e.g. to optimise prevention and treatment even further.

HMS Wearable: Bluetooth sensor with cloud monitoring

The patient sticks the sensor on and can then move freely around the hospital. Their state of health is monitored continuously and in real time, regardless of their location. No other device is required, as the HMS wearables monitor vital signs without any other aids. The patient can also be localised anywhere so that emergency situations can be responded to quickly. The wearables work in all everyday situations and only need to be removed for recharging. This simple handling and the compact design of the biosensors ensure a high level of patient acceptance.

Remote monitoring system with medical wearables

The HMS Remote Patient Monitoring (RPM) solution supports doctors, relieves the burden on medical staff and at the same time provides patients with greater safety.

The monitoring of certain patient groups is currently presenting hospitals with major challenges. Not all patients require comprehensive therapeutic and intensive care measures. In addition, the number of intensive care beds is limited. Nevertheless, continuous (post-operative) patient monitoring with measurement of vital signs must be ensured in order to be able to intervene quickly if necessary. This is because prompt action is crucial to the success of treatment.

However, the capacities of the nursing staff on the normal ward are often not sufficient to prevent patients from remaining unobserved for too long. Even in an outpatient setting, continuous condition monitoring cannot usually be guaranteed.

These monitoring gaps are closed and intensive care capacities are increased at the same time: The HMS wearables monitor the vital functions of post-operative patients in real time and regardless of location using medical biosensors.

Learning from practice

Our success stories

Find out more about the Generative AI solutions that we have developed in various customer projects. The examples show how our customised solutions make companies more successful and bring digital transformation to life.

Validated R environment for analysis of clinical studies

Life Science, Healthcare

Pharmaceutical companies increasingly use the R programming language for planning and analysing clinical studies. Our validated R environment enables the use of modern statistical methods while meeting the high regulatory requirements in a GxP setting.

Benefits:

Reduced licensing costs by replacing standard software
Use of modern statistical methods
Exploratory work in compliance with regulatory requirements

Read Case Study

Sales Analytics Platform

Consumer Health

Bayer Vital integrates top-tier customer management with modern technologies to quickly respond to changing market demands and differentiate itself from competitors. By leveraging analytical potential, the knowledge lead is further expanded, enabling data-driven measurement, optimisation and control of sales and marketing processes in the sales channels.

Benefits:

Rapid response to market changes
Differentiation from competitors
Data-driven optimization of sales and marketing processes

LLM-Based Natural Language SQL Queries

Healthcare / Life Science

Our solution enables natural language SQL queries through a chatbot interface, allowing users without technical expertise to access corporate data.

Benefits:

Democratised data access
Increased efficiency
Informed decision-making

Read Case Study

Analysis of Free Text Data Through Automated Content Tagging

Healthcare / Pharma

Our solution for tagging and structuring content transforms previously untapped free text data into valuable, analysable information, thereby enhancing the data foundation within companies.

Benefits:

Faster classification, evaluation, and structuring of data
Expansion of the data foundation
Informed analysis and decision-making

Read Case Study

Automated Competitor Analysis for Strategic Decisions

Healthcare

Our tool automates the collection and analysis of competitor information using large language models, enabling companies to respond more accurately to market changes.

Benefits:

Time savings through automation
Data-driven decision-making
Fast, interactive data analysis

Read Case Study

Innovating Clinical Research: AI for Secondary Clinical Data Analysis

Healthcare / Life Science

We supported Novartis in exploring the potential of machine learning in clinical research. By analysing study data with machine learning and explainable AI, we identified unknown correlations and improved the predictive power for treatment outcomes and safety profiles.

Benefits:

Discovery of unknown correlations
Improved prediction of treatment outcomes
Optimised identification of critical features through explainable AI

Read Case Study

Cloud-native Statistical Computing Environment

Life Science / Pharma

HMS replaced a 25-year-old central SAS-based system with a modern, cloud-native Statistical Computing Environment (SCE) for analyzing clinical studies for Germany's largest pharmaceutical company.

Benefits:

Integration of the SCE web app with SAS Studio under SAS Viya for seamless workflows
System design with AWS services for optimal data security and access
Automated validation strategy to simplify regular release deployments

Read Case Study

Validated R environment for analysis of clinical studies

Life Science, Healthcare

Pharmaceutical companies increasingly use the R programming language for planning and analysing clinical studies. Our validated R environment enables the use of modern statistical methods while meeting the high regulatory requirements in a GxP setting.

Benefits:

Reduced licensing costs by replacing standard software
Use of modern statistical methods
Exploratory work in compliance with regulatory requirements

Read Case Study

Sales Analytics Platform

Consumer Health

Bayer Vital integrates top-tier customer management with modern technologies to quickly respond to changing market demands and differentiate itself from competitors. By leveraging analytical potential, the knowledge lead is further expanded, enabling data-driven measurement, optimisation and control of sales and marketing processes in the sales channels.

Benefits:

Rapid response to market changes
Differentiation from competitors
Data-driven optimization of sales and marketing processes

Read Case Study

LLM-Based Natural Language SQL Queries

Healthcare / Life Science

Our solution enables natural language SQL queries through a chatbot interface, allowing users without technical expertise to access corporate data.

Benefits:

Democratised data access
Increased efficiency
Informed decision-making

Read Case Study

Analysis of Free Text Data Through Automated Content Tagging

Healthcare / Pharma

Our solution for tagging and structuring content transforms previously untapped free text data into valuable, analysable information, thereby enhancing the data foundation within companies.

Benefits:

Faster classification, evaluation, and structuring of data
Expansion of the data foundation
Informed analysis and decision-making

Read Case Study

Automated Competitor Analysis for Strategic Decisions

Healthcare

Our tool automates the collection and analysis of competitor information using large language models, enabling companies to respond more accurately to market changes.

Benefits:

Time savings through automation
Data-driven decision-making
Fast, interactive data analysis

Read Case Study

Innovating Clinical Research: AI for Secondary Clinical Data Analysis

Healthcare / Life Science

We supported Novartis in exploring the potential of machine learning in clinical research. By analysing study data with machine learning and explainable AI, we identified unknown correlations and improved the predictive power for treatment outcomes and safety profiles.

Benefits:

Discovery of unknown correlations
Improved prediction of treatment outcomes
Optimised identification of critical features through explainable AI

Read Case Study

Cloud-native Statistical Computing Environment

Life Science / Pharma

HMS replaced a 25-year-old central SAS-based system with a modern, cloud-native Statistical Computing Environment (SCE) for analyzing clinical studies for Germany's largest pharmaceutical company.

Benefits:

Integration of the SCE web app with SAS Studio under SAS Viya for seamless workflows
System design with AWS services for optimal data security and access
Automated validation strategy to simplify regular release deployments

Read Case Study

Dennis Stolp

Product- & Partnermanager

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