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What Is Patient Data?

Patient data consists of all medical information concerning individual patients. Not only does this mean patient history, diagnosis, treatment, but increasingly means behavior and lifestyle information.

Where Does Patient Data Come From?

Doctors, nurses, and other health professionals record patient information based on tests and observation. Patients also provide data about their lifestyle and behaviors. They do so either in appointments with doctors and nurses or via wearable devices like smart watches.

Additional sources include research projects, such as the Human Genome Project, and family histories and historical records.

What Types of Columns/Attributes Should I Expect When Working with This Data?

This data category consists of traditional medical data like health history, diagnoses, current drug treatments, and so on. New columns of information include genetic markers, lifestyle, and behavior data.

What Is This Data Used For?

Naturally, this type of data records and helps manage and diagnose individuals with medical issues. It should also provide material for researchers to study diseases or the human body more generally.

Researchers also expect that AI programs will soon predict medical issues before they appear, thus transforming medicine into a preventative endeavor

How Should I Test the Quality of Patient Data?

Due to the variety of potential sources, you may find this data difficult to integrate consistently. If you establish clear goals and data integration standards at the outset and regularly update and cleanse it, you should have a high quality dataset.

Interesting Case Studies and Blogs to Look Into

Datos Health: Case Study 1
Understanding Patient Data: Monitoring joint replacement surgery

Tangible Examples of Impact

But as Meyer pointed out, COVID-19 and the push for more remote care has offered a key use case for virtual platforms enabling patient data access. These types of personal health records, as well as patient portals, might be an opportunity to let patients be in control of coordinating their own care.

Patient Engagement Hit: LabCorp, CommonHealth Partner for Smartphone Patient Data Access

Connected Datasets

Data Collection by Shaip: Text, Audio, Image, Video for AI & ML Training


ShAIp’s dataset – ‘Data Collection by Shaip: Text, Audio, Image, Video for AI & ML Training’ provides Medical Imagery Data, Patient Data, Retail & Commerce Data and Healthcare Data that can be used in , V2X Technology and AI Chatbots

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Shaip – Medical Image Data (2Mn+ medical images, 31 different specialties)


ShAIp’s dataset – ‘Shaip – Medical Image Data (2Mn+ medical images, 31 different specialties)’ provides Medical Imagery Data and Patient Data that can be used in

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Shaip – Patient Records Data (5M+ records) & Patient Audio Files (250k+ hours)


ShAIp’s dataset – ‘Shaip – Patient Records Data (5M+ records) & Patient Audio Files (250k+ hours)’ provides EHR Data, Patient Data and Clinical Trial Data that can be used in

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