How Getting More Data helps Building New Healthcare Opportunities
- What is Big Data in Healthcare?
- Top Facts of How Health Agencies Prepare Their Data
- Big Data in Medicine
- Trends in Big Data and Healthcare
Technology and data now are available the way that was never available before. The tech became portable and the flow of data more intense. From a healthcare perspective, that means we could be talking about a shift from “sick care” to the more preventive “healthcare”. This could happen if we could structure data flow that already exists and focus on the right metrics. Thanks for technological advancements it is achievable in the near future. The key part for you as a business owner is to secure and grow your new commodity – health data. The valuable opportunity for us as individuals is that we could get less destructive lives, and health providers could have much better insights into the patients’ populations that they are trying to treat. Both sides are willing to pay for that value opportunity if you are able to provide it to them.
What is Big Data in Healthcare?
Shortly speaking, it is a continuous structuring, processing and further application of health information during the treatment process. This approach can be scaled in both sides from the specific treatment program of a patient to the clinic, and up to the healthcare industry.
Top Facts of How Health Agencies Prepare Their Data
- 1 in 3 agencies says they have successfully launched Big Data project.
- Only 34% of them have interested in IT systems to optimize data processing.
- Only 29% have trained IT professional to manage and analyze Big Data.
- 15% say that have implemented some kind of M2M technologies.
- 53% plan to invest in data processing tech in 2 years.
Based on surveys of 150 executives within Federal agencies focused on healthcare and healthcare research.
Big Data in Medicine
Today’s vast amount of medical data needs to in integrated and assessed intelligently to support better healthcare delivery. Big Data made smart can create new networks of knowledge sharing. Tapping Efficiencies – By measuring and monitoring processes digitally we can compare data more easily. Such insights facilitate streamlined workflow, greater efficiencies, and improved patient care. Identifying Correlations and Interpreting – Systematic analysis of extensive data can help to detect patterns so that clinicians can tailor treatment to individuals, and project health outcomes. Connecting Expertise – Digital networks could bring together partners and knowledge sharing. It can deliver context-relevant clinical information at the point of care and enable more holistic decision-making.
Trends in Big Data and Healthcare
Diagnosing and Assessing of the Problem – To date, IBM’s Watson AI can read and understand 200 million pages of text in 3 seconds! This speed of data processing is enormous from a human perspective but really important if you think of 100 million medical reports that are created each minute. In medicine, finding the right solution often requires analyzing a large amount of information. Big Data processing system could speed up this process enormously. Here’re the ways we can help in dealing with data:
- Re-formatting and Translating.
- Categorization and Structuring.
- Analytics & Notifications.
Reduction of Waste – Between 21% to 47% of what is spent on healthcare in the U.S. is for things of no value.
- Failure of care process because of patient apathy and listlessness.
- Overtreatment because of broken insurance interests.
- Administrative complexity and over-complex procedures.
- Failure of care coordination.
Some of those problems could be solved by automating the procedure. This could be made with wearable technologies and health-reminder apps. The reduction of the waste problem also shows how vital wearables in healthcare and how silly is the question of Wearable Technologies VS Big Data. By combining those two technologies we can reduce waste from two sides: – Patients will be more compliant to health programs thanks to wearables and smart reminders. – Doctors will be less burdened with bureaucratic procedures and health check visits. Fast Implementation of Data into Action – Some of the problems in healthcare is because of the long life-cycle and approvement process. On average, if something is found helpful in the industry, it takes 15 to 17 years to penetrate the general healthcare environment. So the data is there but it’s not used because of a tedious trial and approvement process. Big Data can speed up this process. Firstly, it could be achieved by establishing a critical mass threshold. The algorithm that would automatically approve a new approach when an accumulated database is sufficient enough.
Healthcare can only benefit from Big Data when it is made structured, relevant, smart, and accessible. The first steps in these directions are already made, and there are several frameworks provided by Apple and Google, that is helping in software development of health data apps right now. On top of that, we can help you structure the data using two best programming languages available for that job – Python and C#. Just give us a call and we’ll get started!