Types and examples of data in healthcare

When you connect the dots of clinical data into one, clear picture, it becomes the foundation for everything from personalized treatments to population-level insights. Here are some of the most powerful ways clinical data is driving better care and smarter systems today:

• Gepersonaliseerde geneeskunde. Clinical data makes it possible to tailor care to the individual, not blindly following general protocols for the diagnosis. Providers can use intelligent software that combines patient history, multiomics data, lab test results, imaging, and real-time vitals to identify the treatment that’s most likely to work for this patient (not what more or less works for most people).
• Voorspellende analyses. By analyzing trends in EHRs, lab results, and population health data, healthcare software can flag patients at risk before problems escalate. For example, identifying early signs of sepsis using vitals and clinical notes, or predicting hospital readmissions by analyzing discharge summaries and comorbidity patterns. Recognizing these patterns based on clinical signals helps providers prepare and adapt care.
• Clinical trials management. Recruiting the right participants for trials has always been a challenge. With structured clinical data (like diagnosis codes, medication history, lab results, and patient demographics), researchers can match trial criteria with people faster. Clinical data also helps monitor trial outcomes more effectively and feed real-world data back into research.
• Remote patient monitoring (RPM). Clinical data from draagbare apparaten, such as heart rate, oxygen saturation, or blood pressure, can be monitored in real-time and integrated into patient records. It opens new opportunities in home and nursing care. Thanks to RPM systems, medical teams are alerted if clinical data indicates an emergency and deliver early care interventions.