Disruptive Technology In Hospitals: Analysis Of Emerging Technologies

Impact of Cloud Computing in Healthcare

Discuss about the Trends in Adolescence and Emergent Adulthood.

Disruptive is doing the same thing that already exist in the market but doing it in a slightly different way. Similarly, when an existing technology is used by an organization in a different technique it is considered as disruptive technology. With times there are various of technology that drives the customer attention and gain competitive advantage. In this report, the chosen organization is Hospital EDs, in Australia. The report will show a process map of all the critical evaluation studied and founded after the research and readings. It will show a small literature review on all kinds of products featured as emerging or new technological products. The report will further show a small internal and external analysis including a mall SWOT analysis, PESTEl analysis and Michael Porter’s 5 forces analysis on the organization to understand in environment.

Cloud computing is increasingly being in demand from the enterprises due to its innovative information technology.  It adds technical and strategic business value to the services or products offered by the organization (Hashem et al., 2015).  Biometric refers to the identification of an individual on his or her physical or behavioral appearance. Everyone has a unique character and each one of them is devised accordingly in the biometric devices (Li  & Jain, 2015). In the recent years one of the fastest development is internet technology that offers possibility for researching and bringing a new shift from traditional methodologies. However, with online services and technology various risks have been raised in the recent years in the enterprises such as hacking of data. A new mode of communication has been formed with the recent changes such as the video communication and even their uses has also immensely increased. The enterprises has effective learning outcomes and innovative uses of video conferencing. It is an example of robust and easy to use technology. Machine learning is referred to branches of artificial intelligence that aims to solve the engineering problems in real life. It aids the medical experts to cure human diseases diagnosis in the early age. It is easy to handle and adds to new patient records (Robert, 2014).

Digitization aims to preserve the rare resources by making them available to multiple number of users at a time. It is an important aspect of the developing world to widen up new avenues to access and valued information resources (Oesterreich & Teuteberg, 2016). On the other hand, the new JIT solution is a concept of just in time delivery which prevents the material or production to get wasted (Amasaka, 2014). In the present times huge amount of data is required to operate with the business. Now it is often seen in the small enterprise to work with lots of data. Big data considers the data that are high in variety and velocity. In order to handle  such huge data in such case the different tools and methods are applied to big data to input it into various decision makers. Upcoming bit coin technology had extensively gave birth to the concept of block chain. it shows an application on cryptography and information technology. There are certain findings that Block chain technology has high use in financial industry. Robotics was being used in the factory and in the work field to perform dull, dangerous and dirty industrial jobs. It had been found that robotics has chances of use in home, health care, traffic, police and army for the developments. However, the societal issues are raised by the robotics and the ethical and regulatory consequences are also raised in terms of robotics.

Biometric Technology and its Application in Healthcare

For the healthcare sectors it is crucial to make a proper infrastructure for emergency patients. One of the major emergency practices is to establish a crisis response team in the emergency department (Oesterreich & Teuteberg, 2016). At present the healthcare industry focuses on the establishment of the critical infrastructure to respond to the risk. Many hospitals have developed incident command system or ICS to response to the emergency cases. On the other hand, Multiagency coordination system or MACS is an effective practice to control the emergency cases in the hospitals. In the year 2008, National Incident Management System was established to provide the guideline to the hospitals to tackle the emergency cases. In the year, 2009 National Infrastructure Protection Plan was established. This provides guideline to the hospitals to deal with the hazards substances in the hospital.

The emergency departments often face issues while dealing with the emergency cases. One of the major issues is the overcrowding (Ahmad et al., 2012). Excessive boarding in the emergency department creates trouble for the staffs. As for example, overcrowding often hampers the movement of emergency patients. On the other hand, staffing inefficiencies is another major challenge of the ED in hospital. High turnover or the reduction of the staffs hampers the continuity of the emergency service. However, the staffs’ number is often less and the patient volume is high. This creates a big problem for the hospital emergency department. Lack of training for the emergency staff is another big problem for the ED. However, often the staffs have lack of knowledge about how to deal with the emergency patient. This is due to the inefficiency of the hospital to provide training to the staffs, which resists the flow of work in ED.

Lack of proper experienced and skilled staff in the emergency department affects the work process (Bongiovanni et al., 2017). Insufficient number of doctors and nurse is a major barrier of the emergency department in hospital. Lack of proper infrastructure hampers the working process of the emergency department. Different emergency case seeks for different type of service. Due to lack of proper technical equipments maximum ED departments of hospital fails to provide emergency service to the patients. Apart from this negligence of the staffs is another major consequence that hampers the work of the emergency department. However, often the staffs do not provide their concern to the emergency patients and they neglect to share the information properly. This hampers the flow of the work of ED.

The degree of rivals

• exit barriers
• industry concentration
• Fixed costs value added
• Industry growth
• brand identity
• corporate stakes
• technological differences in products

Threat of substitutes

• Customers can switch cost easily
• leaning attitude of the buyer towards the substitutes
• Pricing strategy of the substitutes.

Power of the buyer

• The volume of buyers in a place.
• Price sensitivity
• Information of the buyer is not easily obtained
• Product differentiation threat
• Discounts to the buyer or the incentives
• Number of substitutes available in the industry

Threat of New Entrants

• Barriers Entry
• cost advantage
• Access to inputs
• Brand identity again matters
• Capital requirements
• Access to distributionEconomies of scale

• Significant number of volumes of suppliers.
• impact of input on the product differentiation
• switching of firms can be considered by the suppliers due to cost
• Substitute inputs of the presence.
• Cost structure of the inputs.

References

Ahmad, N., Ghani, N. A., Kamil, A. A., & Tahar, R. M. (2012, July). Emergency department problems: A call for hybrid simulation. In Proceedings of the world congress on engineering (Vol. 3, pp. 1-10).

Amasaka, K. (2014). New JIT, new management technology principle: surpassing JIT. Procedia Technology, 16, 1135-1145.

Anderson, E. L., Steen, E., & Stavropoulos, V. (2017). Internet use and Problematic Internet Use: A systematic review of longitudinal research trends in adolescence and emergent adulthood. International Journal of Adolescence and Youth, 22(4), 430-454.

Bongiovanni, I., Leo, E., Ritrovato, M., Santoro, A., & Derrico, P. (2017). Implementation of best practices for emergency response and recovery at a large hospital: A fire emergency case study. Safety science, 96, 121-131.

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.

Li, S. Z., & Jain, A. (2015). Encyclopedia of biometrics. Springer Publishing Company, Incorporated.

Oesterreich, T. D., & Teuteberg, F. (2016). Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in Industry, 83, 121-139.

Robert, C. (2014). Machine learning, a probabilistic perspective.

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