As technologies like the cloud and artificial intelligence (AI) have been adopted more widely, it's become easier to collect, quantify, measure and analyze people's interactions with organizations across several touchpoints. Every time a person visits a doctor, downloads and uses a healthcare app, or interacts with the healthcare system, they generate quantitative and qualitative data healthcare organizations can use to improve their delivery of care.
With the cloud, AI and other emerging technologies, healthcare organizations are now able to make better sense of all the structured and unstructured data they collect, including patient medical records, population health data and personally identifiable information, such as addresses, names and dates of birth. In addition, new digital health companies use sensor-based technologies to collect data for things like medication adherence, physical activity levels and even biometric data like DNA.
All this information can drive better decision-making in healthcare, especially when it comes to treatment decisions, the most effective medical interventions for certain diseases and which programs can increase patients' engagement in their care. Even with all these benefits, however, healthcare organizations must be mindful of data security and install the proper governance processes to protect healthcare data.