What is Big Data in Healthcare ?
Title: What is Big Data In Healthcare?
Blog #4
Name: Devina
Student ID: D0731576
Source: https://www.evariant.com/faq/what-is-healthcare-big-data
Written by: Evariant website
Blog #4
Name: Devina
Student ID: D0731576
Source: https://www.evariant.com/faq/what-is-healthcare-big-data
Written by: Evariant website
The growth of healthcare big data comes in response to the digitization of healthcare information and value-based care. Healthcare big data is processed by machine learning algorithms and data scientists, which refers to collection, analyzing, and leveraging consumer, patient, physical, and clinical data that is too difficult to be understood by data processing. Here are some benefits of big data in healthcare:
1. Full focus of consumers, patients, and physicians.
2. Advance care personalization and efficiency with enhance the patient profile
3. Recognize the geographic market with a high potential for growth.
4. Tracking physician preference, referrals, and clinical appointment data
5. Boost healthcare marketing efforts with information about consumer, patient, and physician needs and preferences.
6. Offer straightforward identification of patterns in health outcomes, patient satisfaction, and hospital growth.
7. Improving care efficiency, effectiveness, and personalization.
The vast amount of data available, growing healthcare costs, and a focus on consumerism, these 3 major shifts in the healthcare industry making big data become more influential in the healthcare system. These challenges turn into opportunities to provide personalized patient journeys and quality care. First, the increasing volume of healthcare data, vast amounts of data sourced through wearable technology, mobile applications, digital marketing efforts, social media, and more. Second, growing healthcare costs, with the collection and analysis of large amounts of data, healthcare organizations will find quantifiable ways to improve efficiency. Last, the desire for personalized care, customers want the convenience to which health systems must improve.
There are some challenges that healthcare big data will face:
1. Billing system is fragmented and dated
2. Patients do not have unique patient identifiers
3. Diagnosis and procedure codes can be unclear
4. Claims data is highly inconsistent
5. It’s difficult to identify the referring physician
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ReplyDeleteJacqueline Vivi
D0732325
Comment #1
Healthcare is something that everyone with no exception needs and will keep on using throughout their life. If we keep the data of all the individuals without the help of big data, then there will be a lot of mistakes and inaccuracy. Therefore, I agree that big data is really essential as it can collect data more precisely and also make things easier. Every individual would of course want their health to be handled focused on their own individual state and big data is here to help make it a reality.
Devina is correct when she said that this can be an opportunity to take healthcare to a whole new innovative state. Everyone has different health problems and now we can input all the data needed and we can refer to possible diagnosis, medication, etc, to each individual.
For the patient, this can also be beneficial as we can see the type of hospital, staff, doctors, and environment that is suitable for us by looking at other health outcomes, patient satisfaction, and the hospital image. We can also easily track physician preference, referrals, and make appointment.
For hospital, this can be a way to find quantifiable ways to improve efficiency. For example, reduce cost, implementing digital marketing efforts, social media, and many more. I believe that healthcare will improve tremendously in the incoming years. Overall, this is a very interesting and educational blog. I hope that this can reach many people as it helps me understand the importance of big data in the health industry. I look forward to many other ways where big data will improve healthcare in the future.