Medical Solutions
Remote Patient Monitoring
Discover how we use advanced telemedicine platforms and wearablewearable sensors to ensure seamless monitoring for patients.
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
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:
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:
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:
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:
Dennis Stolp
Product- & Partnermanager
Have we piqued your interest?
Our sales team will be happy to advise you and give you even deeper insights into our project landscape.
