With the current trajectory of the healthcare industry, Electronic Clinical Data is always almost the same as big data. Data has been growing exponentially and anything that has to do with data that doesn’t use big data is automatically not good enough because better can be achieved with more data. The application of big data analytics in healthcare has led to a lot of positive advancements that has saved lives. The vast quantity of digital data and that has been created can be analyzed used for research and applied to potentially not only provide high-quality care but also help prevent illness, epidemics and also cut down the cost of care. When care is more affordable, it means more people are able to access it and so they would be healthier and thus population health would be better overall.
Another advantage of using electronic clinical data and big data is that it helps doctors with early detection of illnesses and more accurate diagnosis. The ability to know a lot about a patient’s medical history in a very short time makes doctors more efficient. Just holding an iPad, they can access big data on the cloud and have a wealth of information about a patient, their symptoms and the disease.
With electronic clinical data and healthcare data analytics, prevention is better than cure and managing to draw a comprehensive picture of a patient will let insurances provide a tailored package. Treating any disease at an early stage is far more simple and less expensive. In addition, cloud storage is the healthcare industry’s (in collaboration with new technology) attempt to tackle the slopes problems a patient’s data has: everywhere are collected bits and bites of it and archived in hospitals, clinics, surgeries, etc., with the impossibility to communicate properly.
For the longest time, gathering data and interpreting and analyzing it for use has been time-consuming and very expensive. All that is changing with this new wave of big data and advanced technology for electronic data. With new technology, it has become easier not only to collect such data but also to convert it into relevant critical insights, that can then be used to provide better care.
With the cloud and cloud computing, clinicians can now use data-driven findings to predict and solve a problem in record time, access methods and treatments faster, keep better track of inventory, involve patients more in their own health and empower them with the tools to do so.
Electronic Clinical Data and Patient Engagement
Patients being more involved in their own care has led t better patient engagement and more accurate patient data. This is the purpose of electronic clinical data. With this data, healthcare professionals can also assess methods and treatments faster, keep better track of inventory, involve patients more in their own health and empower them with the tools to do so.
Electronic Clinical Data and Reduced Cost
I have mentioned “reduced cost of care” several times now in this article. This is because it is one of the main advantages that come with big data and advanced technology. Indeed, for years gathering huge amounts of data for medical use has been costly and time-consuming. With today’s always-improving technologies, it becomes easier not only to collect such data but also to convert it into relevant critical insights, merge it with other data and access it swiftly in order to provide better care.
Electronic Clinical Data and Data Integration
Integration of these data sources would require developing a new infrastructure where all data providers collaborate with each other. This means that this collaboration has to start at a level before sharing begins. There needs to be a general consensus and willinglins among healthcare organizations to build infrastructure and use software that can be compatible so data can flow freely from one healthcare organization to another or from one clinician to another.
Electronic Clinical Data and Real-Time Alerting
The usefulness of data depends on how well it can be interpreted and how easily and quickly it can be accessed. If data exists that tells a doctor what medications a patient is allergic to but the doctor can’t access that information in time to save the patient’s life, then that data is useless. Another crucial functionality of an electronic data system related to timeliness is real time reporting.
In hospitals, Clinical Decision Support (CDS) software analyzes medical data on the spot, providing health practitioners with advice as they make prescriptive decisions. This real-time alerting means that doctors can monitor patients from a distance or patients at home. For example, if a patient’s blood pressure increases alarmingly, the system will send an alert in real time to the doctor who will then take action to reach the patient and administer measures to lower the pressure.
Electronic Clinical Data and Cloud Storage
However, doctors want patients to stay away from hospitals to avoid costly in-house treatments. Personal analytics devices, already trending as business intelligence buzzwords in 2016, have the potential to become part of a new strategy. Wearables will collect patients’ health data continuously and send this data to the cloud.