Big Data is generating a lot of hype in the healthcare industry. In this modern era, with the adoption of wearable technologies, e-health & mhealth technologies the volume of data get increased in healthcare IT. To reduce healthcare costs various hospitals, research laboratories, clinics etc are leveraging big data analytics. As per research, it is proven that big data in healthcare is used for enhancing the quality of patient care, curing diseases, predicting epidemics etc.
With the emerging technologies, our healthcare system is improving day by day. In our previous articles, we explain AI changing healthcare, IoT, Augmented reality, cloud computing impact on healthcare, Virtual Reality, Medical robots, Nanorobot for cancer treatment, Hospital information system, laboratory information system, EMR Vs EHR etc in detail. Here we are going to explain Big data in healthcare highlighting its trends, history, applications etc in detail.
Big Data and Healthcare:
Big data analytics has become the crucial problem in healthcare informatics in terms of data querying, database design, data knowledge representation, clinical decision support etc. In the healthcare industry, big data is originally generated from the large electronic data sets, for the healthcare professionals, it’s challenging to manage these data sets with the conventional software & hardware. Because of the different data types & its volume, healthcare data management needed to be managed.
As per researchers, 80% of the healthcare data analytics is being unstructured, it’s being a great challenge for the healthcare industry to make sense of all data & leverage it effectively for medical research, treatment courses, clinical operations etc. With the emerging technology, this industry spreads their wings & promises to support a diverse range of healthcare data management functions such as disease surveillance, population health management etc.
Need of Big Data in Healthcare:
Big Data is equivalent to big opportunities, will impact how patients, providers, researchers engage with the healthcare ecosystem especially when social networking, external data, mobility etc are involved. As we know from last few years, healthcare costs are increasing day by day, we are in need of some smart, data driven thinking in this field.
In the healthcare industry, the problem isn’t the lack of data but the lack of information used to support decision making, planning etc. Like for example whenever any patient admits, his/her stay generates thousands of data elements such as lab results, billing, diagnoses, medications, medical supplies etc. For meaningful analysis, this data need to integrate & validate into a large source of data. For multiple patients, it’s difficult to generate & merge all data, lead to the emergence of big data technology.
Big Data Trends in Healthcare 2017:
Healthcare industry slowly & slowly adopts all new technologies to improve patient outcomes while lowering costs. Through the use of big data technologies & advanced analytics, health care is experiencing a drastic change in data transformation. We here come with a list of big data trends in healthcare 2017 as a part of this data transformation. Have a look.
(i) IoT & Healthcare:
Iot in healthcare brings a variety of devices which monitors every sort of patient behavior i.e. glucose monitors to electrocardiograms to blood pressure. Previously patient requires a follow-up visit with a physician but nowadays with the help of smart monitoring devices patients can easily communicate with a nurse or physician. With the help of dispensers, some smart devices can detect either medicine are being taken regularly or not. If not, they can initiate a call from providers to get patients medicated.
(ii) Patient Centric Care-Value based:
The main aim of the modern healthcare system is to provide quality optimum care to patients to reduce healthcare costs & improve care, coordination etc. Today’s health payors are in early stage of shifting fee for service compensation to value based data driven incentives & demonstrate the meaningful use of EHR. This approach focus on value based care corresponds with an increased focus on patient centric care.
(iii) Real Time Monitoring Of Patients:
Healthcare facilities provide more proactive care to patients by constantly monitoring patient vital signs. After monitoring, data can be analyzed in real time & send alerts to care providers so they know quickly about changes in a patient’s condition. With the help of machine learning algorithms, physicians can provide life-saving decisions & allow for effective interventions.
Big Data Applications in healthcare:
With the emerging big data technology, the healthcare industry is going to be more advanced. Let’s have a look over some of the big data applications.
- Healthcare Intelligence
- Monitoring Patient Vitals
- Fraud prevention & Detection
- Smoother Hospital Administration
- Big Data to Fight cancer
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