Abstract— The growth of the idea of business intelligence and analysis has emphasize the significance of the set, combination, processing of data and reporting of fundamental knowledge and how this knowledge can assist to make more suitable business decisions, obtain a better understanding of marketplace behaviors and trends. Great growth of the data has enabled us to uncover the hidden knowledge from data. We can use the Big Data analysis for effective decision making in healthcare domain using the existing machine learning algorithms with some modification to it This paper summarizes the role of Big Data analysis in healthcare and various shortcomings of traditional machine learning algorithms. Keywords— Big Data, knowledge, of Health Informatics,
The face of healthcare has been changed by new medical developments and technology. Out of all the industries technology plays a big role in, healthcare is definitely one of the most important. Technology drives medicine and healthcare more than anything else. Technology has made a big impact on the quality of human life, healthcare jobs and the world economy. Not only has technology made treatments better and more accessible, it also has improved patient care and efficiency.
Undoubtedly, healthcare becomes tremendously complex as a business activity to manage diversified locations, changing organizational structures, mergers, employees, and multiple information systems across the globe. Healthcare organizations must strive for value addition across entire supply chain by monitoring supply chain performance. The latest innovations in RFID technology, Supply Utilization management & Virtually centralized Supply chain management holds the key to the future. Looking to the future, supply utilization management is an emerging recommended practice that will enable healthcare organizations to dig deeper and more broadly into their supply chain expenses to harvest new and even better supply savings. Exploiting the power of RFID technology is not simply about replacing bar codes with tags.
Clinical integrations’ importance stems from the opportunity to coordinate services in the current environment in an affordable way while delivering high-quality care (Harrison, p180, 2016). With innovative quality improvement programs like the electronic health records, management of chronic care programs, and centralized scheduling these tools make it easier to integrate healthcare systems, so information is retrieved quickly making it menial to make decisions. Likewise, the Accountable Care Organizations (ACO) allows for the integration of patient care through which the primary care providers are responsible for coordinating. Since Medicare is the driver in healthcare, the idea of integration was to monitor healthcare from patient and payer perspective (Harrison, p180, 2016). For Medicaid patients, the care continuum stretches to the primary care provider to provide care at a lower cost.
In these field nursing profession search for solutions and look for methods to improve healthcare services by integrating patient’s information and clinical data (Manta, 2014). It is believe that the integration of informatics and evidence based practice would improve
Abstract:The modern ICU generates large volumes of complex and multimodal data. Interpreting and utilizing this information is challenging for the ICU Physician. By enhancing the ICU Clinical Decision Support System its outcomes in critical patients will be improved by providing real-time decision support, decreasing medical errors, and minimizing life-threatening events caused by delayed or uninformed medical decisions. In addition to basic patient demographics, pre-existing comorbidity data, and medication usage, it also emulate more event categories such as nurse-verified chart events, laboratory tests, and fluid balance records. For making critical decisions, these events based categories with event duration are more helpful.
Globally, health care environments are rapidly developing which leads to a need for guidance to practice high quality effective care( Craig & Smyth 2007).In the way of improving health care practice, the need of Evidence-based practice (EBP) is essential to develop this type of care (Craig & Smyth 2007). EBP can be defined as a well organized method that encompasses three elements which are information from published articles, patient preference and clinical experience in order to improve the quality of care (Holland & Rees 2010). According to Fain (2009), research is needed to build up new knowledge and skill in order to improve the quality of care and to move from ritualistic practice to researched practice (Holland & Rees 2010). Furthermore, EBP based on research evidence and useful in reduce cost care (Craig & Smyth 2007). Locally, the practice of EBP is new and recently developed and applied in studies and practice (MOH 2012).
It’s obviously meant to provide better and more specific data. And with the best data available, medical professionals will be able to compare data better, advance research initiatives, make more informed decisions, identify public health issues, and process claims
There is always changes in medical field, and as a medical assistant it is our job to learn new things relating to medicines and how the office runs. Electronic submission is also one thing that we should be aware of and know how the regulation works. It has more advantages than disadvantages for the providers.
Currently, patients can be able to carry out their diagnosis by typing in symptoms on a computer and read the results; this eventually reduces the extra fees that would have been incurred as consultation fees. The use of technology can help physicians to treat more people than before. Diagnosis of diseases is not only getting more accurate, but also fast and efficient. Specialists in this field can perform a body anatomy with no lengthy procedures and few mistakes. This is done through adoption of technologies such as MRI scans and radiology machines (Griffith, 2000).
(2016) wrote that interprofessional team-based medicine is viewed as a significant feature of delivery systems restructured to deliver more effective and higher quality care. Teamwork behaviors include collaborating in the patient-centered care delivery; organizing patient’s care
In her assessment of the American Reinvestment & Recovery Act (ARRA), Murphy (2009) discusses how its enactment provided unprecedented funding for the advancement of health information technology (HIT) which served to promote health care reform. Electronic health records (EHRs) by extension received a boost via incentivization for appropriate use in hospitals and ambulatory settings (Murphy, 2009). The benefits of EHRs include the ability to improve the delivery and quality of nursing care, the ability to make more timely and efficient nursing care decisions for nursing, the ability to avoid errors that might harm patients and the ability to promote health and wellness for the patients (McGonigle & Mastrian, 2015). An appropriate use of EHR