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The impact of Cloud and Big
Data on Healthcare Sector
➢ Big Data Analytics making efficient use of
medical data
A lot of data is produced on a routine basis by hospitals, laboratories,
retail, and non-retail medical operations and promotional activities. But
most of it gets wasted because respective persons are not able to figure out
what to do with that data. This is where Cloud-based Big Data comes into
the picture. The big data analytics tools and repositories remove the hard
thinking and generate reliable and calculative insights out of huge
volumes of data within a matter of seconds. This means in the future we
will needmore doctors who are trainedto work with big data .
➢ Cloud-Based Big Data store and analyzing
data from all possible resources
Up till now the collection of data is limited to the major available resources in the healthcare
sector. However, with the advent of smartphone apps and wearables, data is now everywhere.
And this allows practitioners to know patients’ health conditions in a more precise manner.
Apps that act like pedometers to measure your steps, the calorie counter for your diet, the app
for monitoring and recording heart rate, blood pressure and blood sugar levels, and wearable
devices like Fitbit, Jawbone etc. are all sources of data nowadays. In the near future, the patient
will share this data with the doctor who can utilize it as a diagnostic toolbox to provide better
treatment in less time. This raises the trend of a partnership between medical and data analyst
like Pittsburgh Health Data Alliance—where they are committed to collect record from
various health-relatedinstruments.
➢Big Data in clinical trials and
epidemics
Doctors prescribing the pills and potions with the help of Big Data analytics
isn’t a distant dream. The data sharing practices between pharmaceutical giants
over the cloud helps the researchers to pick the best subjects. Recently, during a
clinical trial big data revealed one such big finding i.e. desipramine can also be
used in curing lung cancer. According to Flatiron Health’s service,
OncologyCloud, 96% of potential data on cancer patients is yet to be analyzed.
And, big data analytics can help sort it out. Big data is also helping out in
developing personalized medicine by recognizing unique genetic makeup and
in fighting against epidemics.
➢ Privacy and Security of Medical data
Patients’ medical data is highly personal and needs to be protected and
secured against loss and theft. Recently the largest healthcare data theft took
place where cyber thieves have stolen medical records of 80 million
patientsfrom Anthem. With the improved computing technology and
enablement of big data in the healthcare sector, privacy and security issues
can be dealt with prima facie. The centralization of medical data is a subject of
concern but big data certainly plays a key role in the development of new
treatments and drugs as long as privacy and security can be maintained.
➢ Improved computing resources at lower
initial capital
Cloud computing is playing a vital role in making healthcare industry more
patient-centric and data-driven. It helps in storing a large amount of data and
sharing information among hospital, physicians, data analysts, and patients at
a lower initial capital. It supports big data set for storing and computing
medical imaging like radiology, genomic data offloading and collecting
Electronic Health Records. It is a boundary-less and flexible way to compute and
store data. Incorporating Cloud-based Big Data increases collaboration and
security in a cost-effective manner.
Content Designed
By:
Mindfire Solutions

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The impact of cloud and big data on healthcare sector (1)

  • 1. The impact of Cloud and Big Data on Healthcare Sector
  • 2. ➢ Big Data Analytics making efficient use of medical data A lot of data is produced on a routine basis by hospitals, laboratories, retail, and non-retail medical operations and promotional activities. But most of it gets wasted because respective persons are not able to figure out what to do with that data. This is where Cloud-based Big Data comes into the picture. The big data analytics tools and repositories remove the hard thinking and generate reliable and calculative insights out of huge volumes of data within a matter of seconds. This means in the future we will needmore doctors who are trainedto work with big data .
  • 3. ➢ Cloud-Based Big Data store and analyzing data from all possible resources Up till now the collection of data is limited to the major available resources in the healthcare sector. However, with the advent of smartphone apps and wearables, data is now everywhere. And this allows practitioners to know patients’ health conditions in a more precise manner. Apps that act like pedometers to measure your steps, the calorie counter for your diet, the app for monitoring and recording heart rate, blood pressure and blood sugar levels, and wearable devices like Fitbit, Jawbone etc. are all sources of data nowadays. In the near future, the patient will share this data with the doctor who can utilize it as a diagnostic toolbox to provide better treatment in less time. This raises the trend of a partnership between medical and data analyst like Pittsburgh Health Data Alliance—where they are committed to collect record from various health-relatedinstruments.
  • 4. ➢Big Data in clinical trials and epidemics Doctors prescribing the pills and potions with the help of Big Data analytics isn’t a distant dream. The data sharing practices between pharmaceutical giants over the cloud helps the researchers to pick the best subjects. Recently, during a clinical trial big data revealed one such big finding i.e. desipramine can also be used in curing lung cancer. According to Flatiron Health’s service, OncologyCloud, 96% of potential data on cancer patients is yet to be analyzed. And, big data analytics can help sort it out. Big data is also helping out in developing personalized medicine by recognizing unique genetic makeup and in fighting against epidemics.
  • 5. ➢ Privacy and Security of Medical data Patients’ medical data is highly personal and needs to be protected and secured against loss and theft. Recently the largest healthcare data theft took place where cyber thieves have stolen medical records of 80 million patientsfrom Anthem. With the improved computing technology and enablement of big data in the healthcare sector, privacy and security issues can be dealt with prima facie. The centralization of medical data is a subject of concern but big data certainly plays a key role in the development of new treatments and drugs as long as privacy and security can be maintained.
  • 6. ➢ Improved computing resources at lower initial capital Cloud computing is playing a vital role in making healthcare industry more patient-centric and data-driven. It helps in storing a large amount of data and sharing information among hospital, physicians, data analysts, and patients at a lower initial capital. It supports big data set for storing and computing medical imaging like radiology, genomic data offloading and collecting Electronic Health Records. It is a boundary-less and flexible way to compute and store data. Incorporating Cloud-based Big Data increases collaboration and security in a cost-effective manner.