What is digital health?
What are examples of digital health solutions?
– Telemedicine platforms for remote consultations
– Remote patient monitoring tools to track vitals and chronic conditions
– AI-assisted diagnostics that support faster, data-driven decisions
– EHR systems that simplify recordkeeping and improve data sharing
– Mobile health apps for disease management, reminders, and wellness support
How to make digital health applications secure?
How to use AI in healthcare?
Artificial Intelligence (AI) can be used in healthcare to enhance diagnostics, personalize treatment, automate routine tasks, and improve operational efficiency. Common applications include AI chatbots for symptom triage, natural language processing to analyze medical records, and computer vision to interpret medical imaging.
Healthcare providers also use AI to support clinical decision-making, predict disease progression, and streamline administrative tasks — helping staff focus more on patient care and less on paperwork.
How to use machine learning (ML) in healthcare?
Machine learning in healthcare is used to find patterns in large datasets, enabling predictions and automation. ML models can forecast patient outcomes, identify high-risk individuals, detect anomalies in medical imaging, and recommend treatments based on historical data.
It's also widely used in drug discovery, patient segmentation, and predictive analytics — allowing healthcare organizations to make smarter, faster, and more accurate decisions across clinical and operational workflows.
What is patient management software?
atient management software is a digital system used by healthcare providers to coordinate care, schedule appointments, track medical histories, and manage communications with patients.
It streamlines administrative workflows, reduces paperwork, and enhances patient engagement — often integrating with EHR systems, billing platforms, and telemedicine tools for a more connected experience.