How to Monitor Medical Healthcare Data in Real-time IoT devices anywhere anytime

Real-time data is one of the most promising applications of big data in the healthcare industry. While batched data can provide powerful insights by identifying medium- and long-term trends, healthcare providers can combine streaming data with real-time processing to create actionable insights on a minute-by-minute basis. Real-Time Health Data from Every Where application helps us to monitor medical healthcare data using IoT devices remotely anywhere anytime.

Health monitoring systems have rapidly evolved recently, and smart systems have been proposed to monitor patient current health conditions, in our proposed and implemented system, we focus on monitoring the patient’s blood pressure, and his body temperature. Based on last decade statistics of medical records, death rates due to hypertensive heart disease, shows that the blood pressure is a crucial risk factor for atherosclerosis and ischemic heart diseases; thus, preventive measures should be taken against high blood pressure which provide the ability to track, trace and save patient’s life at appropriate time is an essential need for mankind. Real-Time Health Data from Every Where collects all your human medical data into a centralized area for any future data analysis.

Medical devices are supporting this use case because they are increasingly connected and able to relay data to centralized patient management systems. The nature of these devices is also changing. Smart wearables are already enabling healthcare providers to monitor patients both during their hospital stays and after they have returned home. Real-Time Health Data from Every Where collects data from all your smart wearable IoT devices. It gives the following benefits:

  • Attain 360-degree patient view by collecting patient data in real time
  • Gain real-time insight into clinical and hospital activity via low-impact change data capture from databases
  • Deliver proactive care, improve health outcomes, and reduce re-admission risks
  • Assess patient-specific eligibility, gaps in care, risk scores, and historical medical information at the point of care
  • Protect patient records and ensure regulatory compliance
  • Optimize staff allocation based on real-time demand

A next-generation streaming data architecture that collects and analyzes comprehensive and up-to-date health data is a key requirement for delivering data-driven patient care and achieving operational optimizations that reduce costs. It offers an end-to-end real-time data integration and streaming analytics platform that helps you to gain immediate insights from massive amounts of health data, including data from sensors. It enables you to accurately understand where a patient stands, make timely decisions with an early warning system while achieving compliance and receiving maximum reimbursement for services. Real-Time Health Data from Every Where does all the above massive data collections for any kind of future use. For medical data storage, this application follows the below criteria also:

  • Real-time data integration for cloud, Big Data
  • Zero downtime migration to cloud
  • Regulatory compliance, including HIPAA
  • Real-time insight into clinical and hospital activities
  • Remote monitoring for patient health data in real time
  • Proactive, bedside warning on health issues
  • Predictive device maintenance
  • Staff allocation optimization
  • Point-of-care compliance monitoring
  • Patient service eligibility verification

Healthcare costs are rising as the system faces an influx of older patients with greater needs and an increasing portion of the population with chronic conditions. Concurrently, the industry is seeing a gradual move to value-based payments, in which healthcare providers focus on outcomes rather than solely on fee-based services.

Analyzing patient vitals in real-time and monitoring patient care plans, provides the opportunity for providers to proactively care for patients. Combining analyses of large data sets with current patients’ medical records can help identify high-risk patients who may need extra attention at bedside or remote home healthcare sites. Applications like these are driven by a wealth of new data coming from a variety of sources, ranging from connected medical equipment to EMRs. Healthcare organizations must ingest data from these new sources while supporting existing software and databases that provide useful financial and operational data. Distilling all this information into actionable intelligence takes considerable IT, data science, and domain expertise. Real-Time Health Data from Every Where minimizes huge medical costs. it help doctors to monitor all your previous medical records in a minutes. So, buy this best valuable application right now from Garaz Lab.

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