Dr. Jonas Chromik

Personal Information

• since 2019: Research Assistant and Doctoral Student, Hasso Plattner Institute, Potsdam
• 2016 - 2019: IT Systems Engineering (M.Sc.), Hasso Plattner Institute, Potsdam
• 2018: EMT Training, NAW Berlin, Berlin
• 2015 - 2018: Teaching Assistant, Hasso Plattner Institute, Potsdam
• 2013 - 2016: IT Systems Engineering (B.Sc.), Hasso Plattner Institute, Potsdam

Research Interests

My research focus is alarm fatigue in medicine. Alarm fatigue occurs when medical staff is exposed to too many – mostly unnecessary – alarms. This leads to desensitisation and absent, delayed, or inappropriate response to the alarm. This is especially a problem in intensive care medicine where many alarm generating devices are in use.

To address this problem, I consider three different cetegories of unnecessary alarms:

1. Technical correctness of alarms: Do the measurements that caused the alarm correctly describe the reality? For example, technically false alarms could be caused by incorrect heart rate measurements that are, in turn, caused by patient movement impairing the ECG signal.
2. Clinical relevance of alarms: Are there any consequences to the alarm? If there are no interventions addressing the cause of the alarms, the alarm itself is irrelevant, although it might be technically correct.
3. Avoidability of alarms: Some alarms are both technically correct and clinically relevant, but unnecessary nonetheless. Because they could have been avoided by precaution or foresight. Some critical conditions are predictable so that no alarm is necessary. Other critical conditions can be automatically corrected so that human intervention is unnecessary.

Projects

• INALO: Intelligent Alarm Optimization for the Intensive Care Unit
• SensorHub: Unobtrusive Health Monitoring for Driving Lifestyle Changes using Wearables (formerly)

Teaching Activities

Project Supervision

Master Projects

Winter Term 2023/2024	Two Hearts, One Rhythm?
Summer Term 2021	Forecasting Alarms in Intensive Care Units
Winter Term 2020/2021	Preventive Maintenance for Patients

­­­­­­Bachelor Projects

2023/2024	ClearRisk: Enhancing Predictive Modeling and Risk Communication in Digital Health Apps
2019/2020	SensorHub: Unobtrusive Health Monitoring for Driving Lifestyle Changes using Wearables

Thesis Supervision

Master's Theses

2022	Denise Schmidt	Towards Smart Alarm Thresholds in Medical Patient Monitors
2021	Wiktoria Staszak	Mealtime Insulin Bolus Behavior of Users of the Open Artificial Pancreas System (OpenAPS) with Type 1 Diabetes
2020	Justus Eilers	Development of a Standard to Qualitatively Assess QRS Detectors

Bachelor's Theses

2020	Jasper Blum	Determination of a Respiratory Signal Using IMU Sensors
2020	Georg Lange	Detecting Several Types of Distractions During Work Using Wireless EEG-Devices Applying Machine Learning Techniques

Publications at HPI

2024

• ARTEMIS: An Alarm Threshold and Policy Mining System for the Intensive Care Unit. Chromik, Jonas; Flint, Anne Rike; Arnrich, Bert in International Journal of Medical Informatics (2024). 105349.

2023

• Recommender System for Alarm Thresholds in Medical Patient Monitors. Schmidt, Denise; Chromik, Jonas; Arnrich, Bert (2023). 74–85.
• Predictive Alarm Prevention by Forecasting Threshold Alarms at the Intensive Care Unit. Chromik, Jonas; Pfitzner, Bjarne; Ihde, Nina; Michaelis, Marius; Schmidt, Denise; Klopfenstein, Sophie Anne Ines; Poncette, Akira-Sebastian; Balzer, Felix; Arnrich, Bert in Biomedical Engineering Systems and Technologies, A. C. A. Roque, D. Gracanin, R. Lorenz, A. Tsanas, N. Bier, A. Fred, H. Gamboa (eds.) (2023). (Vol. 1814) 215–236.

2022

• Computational Approaches to Alleviate Alarm Fatigue in Intensive Care Medicine: A Systematic Literature Review. Chromik, Jonas; Klopfenstein, Sophie Anne Ines; Pfitzner, Bjarne; Sinno, Zeena-Carola; Arnrich, Bert; Balzer, Felix; Poncette, Akira-Sebastian in Frontiers in Digital Health (2022). 4
• Forecasting Thresholds Alarms in Medical Patient Monitors using Time Series Models. Chromik., Jonas; Pfitzner., Bjarne; Ihde., Nina; Michaelis., Marius; Schmidt., Denise; Klopfenstein., Sophie; Poncette., Akira-Sebastian; Balzer., Felix; Arnrich., Bert (2022). 26–34.
• Extracting Alarm Events from the MIMIC-III Clinical Database. Chromik., Jonas; Pfitzner., Bjarne; Ihde., Nina; Michaelis., Marius; Schmidt., Denise; Klopfenstein., Sophie; Poncette., Akira-Sebastian; Balzer., Felix; Arnrich., Bert (2022). 328–335.
• SensorHub: Multimodal Sensing in Real-Life Enables Home-Based Studies. Chromik, Jonas; Kirsten, Kristina; Herdick, Arne; Kappattanavar, Arpita Mallikarjuna; Arnrich, Bert in Sensors (2022). 22(1)

2021

• Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning. Pfitzner, Bjarne; Chromik, Jonas; Brabender, Rachel; Fischer, Eric; Kromer, Alexander; Winter, Axel; Moosburner, Simon; Sauer, Igor M.; Malinka, Thomas; Pratschke, Johann; Arnrich, Bert; Maurer, Max M. (2021). 2211–2214.
• Optimal Deployment in Emergency Medicine with Genetic Algorithm Exemplified by Lifeguard Assignments^*. Chromik, Jonas; Arnrich, Bert (2021). 1806–1809.
• Impact of Custom Features of Do-it-yourself Artificial Pancreas Systems (DIYAPS) on Glycemic Outcomes of People with Type 1 Diabetes. Staszak, Wiktoria; Chromik, Jonas; Braune, Katarina; Arnrich, Bert (2021). 1472–1475.
• Certainty in QRS detection with artificial neural networks. Chromik, Jonas; Pirl, Lukas; Beilharz, Jossekin; Arnrich, Bert; Polze, Andreas in Biomedical Signal Processing and Control (2021). 68 102628.
• Choosing the Appropriate QRS Detector. Eilers, Justus; Chromik, Jonas; Arnrich, Bert (2021). (Vol. 14)