Iot Opportunities In Healthcare

The company is a medical reimbursement company that deals with patients’ personal information from social security, to medical history and banking information. As technology in the healthcare field continues to expand, we have begun to use more big data to store all our patient personal health records and our employees’ personal records. Maintenance and processing of various and high volume data have created the “Big Data” challenge. As Gartner (2015) said: “Big Data is high-volume, -velocity and -variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making” [6]. Under the Health Insurance Portability and Accountable Act (HIPAA) laws, the healthcare industry is privy and held to a very high standard to protect and keep all patients’ personal information private, safe and secured; Digitalization and accumulation large healthcare data provides great potential for healthcare data. The key to the best patient-centric, evidence-base and accountability care is delivered through big data in healthcare (Yang, Li, Wang, Chen, Wu, Wang, Pan and Mulder 2015). There are still many healthcare challenges that need to be addressed to help enhance healthcare services. With cloud computing in healthcare, the company is one step closer to lowering their operational cost and eliminating the use of hardware and software to store data. With all the company’s data stored on networks, servers and applications it makes it easier for the data to be accessible any part of the world. Some of the advantages of cloud computing includes availability, performance and load balancing (Malekabadi, Javan & Akbari 2015). When all of the company’s data is stored on the networks and computed, it is taken by Iron Mountain and stored in a remote location. With the continued growth of innovative technology cloud computing will continue to

The use of mobile technology in the healthcare industry has exploded in the last ten years. Mobile health or mHealth, provides an entire new aspect of the relationship between patients and their doctors and other medical providers. Mobile devices place important and critical information into a medical professional’s hands in real-time. Doctors can monitor a patient’s condition more frequently, allowing them to make better and more informed decisions and diagnoses.

Integration will lead to superior diagnoses as doctors will have access to medical records from across the country, enabling them to draw on the diagnoses of other doctors facing similar situations. It will also allow for seamless care as records for the same patients will be instantly accessible and fully up to date wherever they go. The application layer will be standardized, with a consumer-facing mobile and web application and a doctor-facing web portal. While the way care is administered differs from hospital to hospital and clinic to clinic, what a practitioner needs from an IT solution will remain relatively constant.

As consumers utilize smartphones, tablets, and other devices for other functions like social media and email, they are starting to look at these features to assist them with their healthcare. Mobile body area network devices will be a growing trend in the coming years as a way to get patients engaged in their healthcare and also to give providers routine updates on the status of patients with chronic conditions. As DeGaspari (2014) indicates, these devices can lead to improved functionality for other devices used in hospitals, such as sensors for monitoring patients that might get up and wander or be a fall risk. Telemedicine will continue to grow as payers, providers, and patients all start to realize the mutual benefits that can be

Worldwide use of computer technology in medicine began in the early 1950s with the rise of the computers. In 1949, Gustav Wagner established the first professional organization for informatics in Germany. Medical informatics research units began to appear during the 1970s in Poland and in the U.S. Since then the development of high-quality health informatics research, education and infrastructure has been a goal of the U.S. and the European Union. (NYU graduate training program, 2010) Changes in the healthcare environment produced fundamental shifts in the delivery of healthcare. The altering landscape of healthcare is creating a huge demand for health data analytics. The growth and maturity of healthcare informatics over the past decade has been a prime catalyst in positioning the healthcare industry for the changes posed by reform measures. By understanding the process of analytics, clinical informatics specialists say healthcare providers have the insight necessary to make the process adjustments in the future.(Riskin, 2013)

Clinical business intelligence is a modular and scalable platform that helps the organizations to seamlessly integrate data from multiple clinical and financial system and address the most critical BI and analytical needs. Physicians use the hospital EHR and other clinical IT applications to make decisions and provide excellent care to the patients but recently the physician practice network deployed new EMR along with a bunch of online e-prescriptions and lab applications. The hospital system relates to a statewide health information exchange. The new kinds of data support the physicians and administrators in making clinical and financial decisions. BI clinical also leverages technology partnerships to give organizations the

The emergence of electronic medical record system (EMR), portal technology, remote monitoring tools, wireless communication telemedicine, sensors and wearable technology, Pharmacogenomics are all examples of advancements in the health care that have emerged over the last few years. These

The health care industry has become increasingly reliant on technology. From medical translation tools to mobile apps, these devices are helping healthcare institutions save money and improve patient treatment.

It’s a value care for U.S patient population. Back to the digital health care prediction, Dr. Brown indicated that the vast amount of untapped data could have a great impact on health that exists outside of medical systems. However, there were challenges when it came to collecting healthcare data. First, the unstructured big data which presents in medical literature. How do we know which one to read? Second, a data associated with a single patient in an electronic medical record (EMR). An electronic medical record came with a structured data and an unstructured data. There was a question about the HIPPA regulation, and Dr. Brown assured that IBM adhered to the regulation completely. All these pooled data were placed in the Watson Cloud that aggregated the data together to perform different analytics. It’s all automated system. Then, IBM acquired Truvan that tracked insurance and reimbursement data and enabled to see overall

The typical daily cost for single in patients in hospitals was over $1,700 in 2013, according to the Kaiser Family Foundation [10]. Remote monitoring products such as the BodyGuardian provide the healthcare advantages such as the option to move patients to their home and retain monitoring of their status by doctors and nurses. A paper [11] proposes an original, IoT-aware, smart architecture for automatic monitoring and tracking of patients, personnel, and biomedical devices within medical

In observation, (Fahnestock, McComb, & Deshmukh, 2013) stated "Information technologies are transforming the way healthcare is delivered. Innovations such as computer-based patient records, hospital information systems, computer-based decision support tools, community health information networks and new ways of distributing health information.” (p.3.2). In the sector of delivering healthcare using technology, has made it easier for healthcare professionals to access medical records, digitization of prescriptions and view test results. With the use of high-performance devices being used in the hospital, helps to make the jobs of healthcare professionals a little easier. As well as relieve anxiety from anxious patients that may be awaiting lab results to come back. Therefore, IT devices and services has been and continues to be a tremendous help and game changer for the healthcare system. However, there is still a lot of work to be done to help shape and reform the healthcare

Health informatics has successfully captured the attention of clinical and public health leaders around the nation as they realize its potential to solve problems, cut cost and enhance patient experience. As discussed in class, The American Reinvestment and Recovery Act (ARRA) of 2009 initiated a program designed to equip hospitals and medical practices around the country with electronic health record systems. Known as the Meaningful Use program, it has provided financial encouragements to health care organizations to install these computerized systems. This act has resulted in a huge increase of electronic health records (EHR) companies and has generated countless jobs for healthcare data analysts and related IT positions.

mHealth has the potential to change every aspect of the traditional health care system. It could provide a more effective health care delivery system and be cost saving with relatively limited resources. For consumers, mHealth proposes the potential of improved convenience, more active involvment in their own care, and greater personalization. For clinicians, mHealth could lead to more accurate, improved patient care and lesser demand of their time. Nevertheless, mHealth is currently between the early adopters and early majority, the chasm. To cross this chasm, a top-down strategy is needed to match mHealth’s bottom-up approach by app developers. mHealth stakeholders need to provide a roadmap for implementation that confirms its benefits to

Data is one of the most valuable assets in any healthcare organization. The adoption and use of EHR systems makes it possible to collect, store, and analyze more data than ever before. Through the use of analytical tools this data is being turned into meaningful and qualitative information with which to support the clinical, operational, and financial decisions of the healthcare facility. The process of organizing and managing data so as to drive quality improvement efforts and business development within the healthcare industry is known as healthcare informatics. The article, Making Data Smart: Practical informatics is helping transform data into health intelligence, and now moving into day-to-day HIM work, by Mark Crawford, details how the HIM professional can utilize the emerging EHR applications and technologies to support health informatics and streamline workflows, improve quality care, and reduce expenditures.

Informatics has played a major role in the evolution of healthcare and the improvement of practice and will continue to play a role for years to come. Smartphone usage has spread to many settings including that of healthcare with numerous potential and realized benefits. The ability to download custom-built software applications (apps) has created a new wealth of clinical resources available to healthcare staff, providing evidence-based decisional tools to reduce medical errors (Haffey, Bradey &Maxwell, 2014).