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Patient Generated Data for Next-Level Healthcare



What is Patient Generated Data (PGD)?

It refers to health-related data that is generated, recorded, and collected by individuals outside of traditional healthcare settings. This data is typically created by patients themselves, often using various devices and technologies. PGD provides insights into aspects of an individual's health, lifestyle, and activities. Here are some common sources of Patient Generated Data:

  1. Wearables and Fitness Trackers: Devices like smartwatches and fitness trackers monitor physical activities, heart rate, sleep patterns, and more, providing real-time data about a person's daily life.

  2. Mobile Health Apps: Health and wellness apps allow users to input and track information such as medication adherence, symptoms, diet, exercise routines, and mood.

  3. Home Monitoring Devices: Devices for measuring blood pressure, glucose levels, weight, and other health parameters at home contribute to PGD.

  4. Smart Medical Devices: Some medical devices, like smart inhalers or glucose monitors, automatically collect and transmit data to healthcare providers.

Why is lack of integration of PGD with other medical information a problem?


The lack of integration for Patient Generated Data (PGD) from wearables and other sources poses several challenges and concerns in healthcare:

  1. Fragmented View of Patient Health: Without integration, healthcare providers may have a fragmented and incomplete view of a patient's health. PGD often provides valuable insights into a patient's lifestyle, activity levels, and vital signs, which can contribute to a more holistic understanding of their health status.

  2. Missed Opportunities for Early Detection: Integrated PGD can facilitate early detection of health issues or changes in a patient's condition. Without seamless integration, healthcare professionals may miss critical data points that could prompt early intervention and prevention.

  3. Reduced Efficiency and Increased Workload: Healthcare providers may face challenges in manually collecting, organizing, and analyzing data from various sources. This can lead to inefficiencies, increased administrative burdens, and a potential risk of overlooking important health trends.

  4. Limited Patient Engagement: Integration of PGD supports greater patient engagement by involving individuals in their own healthcare. When patients and healthcare providers have access to a unified view of data, it promotes shared decision-making and encourages patients to take an active role in managing their health.

  5. Ineffective Care Coordination: Lack of integration hampers seamless communication and care coordination among different healthcare providers and specialties. Integrated PGD can enhance interdisciplinary collaboration, leading to more coordinated and personalized care plans.

  6. Data Security and Privacy Concerns: Manually handling and sharing PGD without proper integration may raise data security and privacy concerns. Integrating PGD into electronic health records (EHRs) requires robust security measures to protect sensitive patient information.

  7. Barriers to Data-Driven Healthcare: The healthcare industry is increasingly moving toward data-driven decision-making. Without integration, healthcare organizations may struggle to harness the full potential of PGD for population health management, research, and quality improvement initiatives.

  8. Technological Advancements and Industry Standards: The lack of integration may hinder the adoption of emerging technologies and industry standards that promote interoperability. Integration is crucial for staying current with technological advancements and ensuring compatibility with evolving healthcare standards.


Addressing the integration challenge for Patient Generated Data is essential for advancing patient-centered care, improving health outcomes, and fostering innovation in healthcare delivery. Efforts to establish interoperability standards and deploy integrated health information systems play a key role in overcoming these challenges. We at Basil are working on unifying patient generated data from popular fitness devices to our users' medical history. Leave a comment if you'd like to chat about this!

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