Top 5 trends in Medical Field By Forbes | Medical Blog - InstagramTimes Ig

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Wednesday 24 October 2018

Top 5 trends in Medical Field By Forbes | Medical Blog

Top 5 trends in Medical Field By Forbes 
1. Augmented Reality Training For Healthcare
Augmented reality is a trend across all industries, but it is especially powerful in the healthcare field. One of the strongest applications is in medical training. Using AR, healthcare providers can see diagnoses and procedures right in front of them to learn new skills and expand their knowledge. Augmented reality also makes it possible to train more providers at once, which could fight the shortage of trained professionals around the world. Imagine a doctor being able to have treatment options pop up on a screen as he looks at different conditions or have growth charts appear around a child during a checkup. Instead of doctors having to spend more time reading studies to refine their skills, the information they need can simply appear in front of them as they seamlessly treat patients.
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It is interesting to look ahead to think about what technologies are going to change the practice of medicine, but it is also very difficult to predict. That doesn’t stop us, however.
Surgeons also have lots of anatomical data from images at their disposal, but they are mostly looking at 2-dimensional displays that they review prior to surgery, or have to look away from the patient during surgery. AR has the potential of providing a heads-up display, giving vital information to surgeons overlaid on the patient.
At the very least this allows for accessing information without having to look away from the operating field.
As the technology matures it is also easy to imagine 3-D anatomical information actually overlaid on top of the patient. Now combine this with artificially-intelligent algorithms that can image the patient in real time, and correlate the operating field with prior imaging as well as anatomical information
2. Leveraging Data For Healthcare
Healthcare has always used data, but new types of data and ways of collecting it will impact customer experience. Automated systems can comb through huge amounts of data in real time to provide the best patient experience. Healthcare data comes in many forms, from post-visit feedback surveys to numbers of what days and times are the busiest so clinics can properly staff their offices. Data can predict when a patient will get sick so that preventative action can be taken, create personalized healthcare plans, and potentially limit the spread of diseases before they grow out of control. It also allows providers to have a more complete view of each patient, which can potentially remove the pre-visit intake questionnaires, which customers say is the most frustrating aspect of healthcare.
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In recent years, healthcare organizations across the country have raced to the finish line to achieve “Meaningful Use” of the Electronic Health Record (EHR). Stimulated by the Health Information Technology for Economic and Clinical Health (HITECH) Act,meaningful use is centered on improving health outcomes for populations of patients and the general public at large (U.S. Office of the National Coordinator, 2014). These efforts to modernize the national healthcare infrastructure are beginning to pay dividends beyond financial incentive payments. Healthcare organizations are nowable to leverage the rich data created by the EHR through the use of analytics. NYU Langone Medical Center is among organizations that are pioneering waysto empower clinicians to improve clinical outcomes at the point of care and beyond. NYU Langone is leveraging the rich data from within the EHR to shift the healthcare paradigm from one of reactive treatment to proactive prevention.
A well-implemented EHR includes ongoing governance, change management, engaged key stakeholdersalongside the technology, and training. This is essentialto create a solid foundation for leveraging data to present the right information to the right care provider at the right time. For instance, EHRs provide basic actionable data to clinicians in real-time,such as identifying when a patient’s laboratory results are abnormal, or when a medication is overdue. More advanced functions take advantage of data from multiple sources to introduce predictive analytics that can then be translated into improved clinical outcomes. Examples below illustrate a continuum from basic to advanced functions utilized at NYU Langone including:
  1. Patient lists with icons, data, and decision support in the form of alerts to assist the clinician in real-time as they provide direct patient care.
  2. Ad-hoc reporting tools, allowing search and aggregation of the data to allow the provider to analyze a group of patients or a particular intervention.
  3. More advanced reporting tools, powered to search the patient database to cull information for quality metric reporting
  4. Advanced analytics, introducing algorithmic logic to analyze or identify a cohort of patients such as real-time risk of sepsis or readmission.
  5. Combining EHR data with other technology and outside data sources to create information and reporting synergy.

3. Patient Personalization
Customers today don’t have time to be sick, and they don’t want to wait around for services they don’t need. With the growth of data comes the ability to personalize the healthcare experience. Starting today and growing in the future, healthcare offices will be able to create a completely personalized experience for each customer. Instead of everyone being treated the same, clinics will be able to use data to see what doctors a patient prefers, if they like being seen in person or remotely, their health history, and any potential health issues. That means that instead of having to navigate through a complicated web of healthcare representatives, a patient's information will be easily accessible so the right treatment options, preventative care, and recommendations can be made.
4. Using Wearable Devices In Healthcare
Wearable devices are powerful tools to keep patients involved and invested in their personal health. The most frequent users of wearable devices are people who are less healthy than average and more likely to need to be hospitalized. Devices like activity trackers help customers stay more active and healthier on their own, which can decrease their need to see a doctor, while more advanced devices can monitor patient health metrics such as blood pressure, heart rate, and diet on the go. Instead of having to go to a clinic for monitoring, patients can do it at home and always be connected to a doctor. If a monitored patient’s blood pressure spikes, the doctor can receive a notification and take action. Wearable devices are a less invasive way to still get great care.
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The requirement for self-health monitoring and preventive medicine is increasing due to the projected dramatic increase in the number of elderly people until 2020. Developed technologies are truly able to reduce the overall costs for prevention and monitoring. This is possible by constantly monitoring health indicators in various areas, and in particular, wearable devices are considered to carry this task out. These wearable devices and mobile apps now have been integrated with telemedicine and telehealth efficiently, to structure the medical Internet of Things. This paper reviews wearable health care devices both in scientific papers and commercial efforts.

Methods

MIoT is demonstrated through a defined architecture design, including hardware and software dealing with wearable devices, sensors, smart phones, medical application, and medical station analyzers for further diagnosis and data storage.

Results

Wearables, with the help of improved technology have been developed greatly and are considered reliable tools for long-term health monitoring systems. These are applied in the observation of a large variety of health monitoring indicators in the environment, vital signs, and fitness.

Conclusions

Wearable devices are now used for a wide range of healthcare observation. One of the most important elements essential in data collection is the sensor. During recent years with improvement in semiconductor technology, sensors have made investigation of a full range of parameters closer to realization.
 5.Hospitals Using Smart Technology
Advances in technology have created a new wave of products to improve patient comfort and care. Using connectivity and automation, these tools alleviate some of the pressure on healthcare providers and once again put customers in control. An overwhelming 94% of healthcare executives said in a recent survey that they plan to implement smart technology in their organizations. Smart technology comes in a variety of forms to increase comfort and efficiency and decrease risks. Hospitals around the country have started using smart beds that self-adjust to the correct pressure and support for each patient’s preferences and condition. Other clinics are using robots that can monitor a patient without a human provider being in the room. Smart devices and applications will continue to grow and spread throughout the healthcare field.
Reference:- 
https://www.forbes.com
https://www.ncbi.nlm.nih.gov
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