Health Informatics has been witnessing a tremendous modernization by leveraging the information technology and networking. Big Data tools offer a platform for organizing huge volume of data generated out of the medical informatics systems. They offer mechanism to store data in a distributed manner and offer parallel processing environment to process the large amount of data. Even though such platforms offer scalable way of managing large volume of data, those tools do not provide mechanism to get value from the large volume of data. Health care data is peculiar in nature because it contains many links to within themselves, such as symptoms, practitioners and medication etc. Processing such data using traditional RDBMS, Big Data tools to get …show more content…
Health care has reached next level of it supremacy, when information technology is applied on it to result in Health informatics. Health Informatics or Health Information Systems is the modern branch that is emerged out of the fusion of computer science, information technology, social science and health care. Advent of electronic records, use of sensors is shaping the health care industry into a potential place where big data can be rightly applied. A lot of issues like efficient data management to effective decision making out of the data is still a big challenge. The advent of health informatics has been creating a tremendous change in the field of health care [1]. It started with modernizing the health care systems with the introduction of Electronic Medical Records (EMR). EMR brought much digitization in the field of health care which resulted in great improvements at the hospitals, patient care methodologies and medication [2]. Since the recent past, sensors play a vital role in the field of health care. Body Sensor Network (BSN) is an amalgamation of wireless wearable smart devices. Such devices are meant to be worn by the chronic patients and the wireless smart devices transmit the symptoms to the remote location based on the configurations [3]. Such technology aims to minimize the presence of individual human care takers for the patients. …show more content…
When healthcare data of size more than TB is fed for processing, overhead is caused in the successive phases. For exam-ple, Shuffle phase generates larger map outputs like many more GBs per node. When it comes to process multiple TB of healthcare data, additional customization like increasing the block size is unavoidable. Also data transferred frequently between shuffle and sort phases adds to the overhead of overall performance. When health care data with a list of patients along with their diseases is fed at Map Reduce sys-tem, each patient will be mapped a disease at the end of the Map phase. There is higher likelihood for the existence of duplicate entries at end of Map phase. Let <K,V> be the set of <disease, patient> pairs, and for the given healthcare data there will be a list of such pairs with same disease as key but with different patients as val-ues. There will be a list of redundant entries in the keys’ list. Yet there is no provision to group all keys with same disease. Existing Map Reduce based system does not provide mechanism to derive such links from within the healthcare data. Health care data is idiosyncratic in nature, because it contains multiple links within itself. Map Reduce process maps each disease from the set {d1,d2,…,dn} to a patient from the set {patient1, patient2, …,
...benefits of this type of clinical decision support system include easy access to information and patient records, provision of timely support throughout the care process, reduced costs, enhanced efficiency, and reduced patient inconvenience. However the disadvantages include potential difficulties in interpreting information, difficulties in handling the huge amount of nursing literature, and probability of additional demands to care process.
There are a variety of health settings that provide patient health services. With the use of health services there has to be some type of health information exchange or system that will enable users to exchange data. Today there are networks that do this. Some of these networks are Community health information network (CHIN), Regional health information network (RHINO), National Health Information Network (NHIN) and Health Information technology for economic and clinical health act (HITECH Act). The purpose of this paper is to identify these networks, discuss the relationship among each other and lastly, explain their relationship to formation of a patient-centered management system and electronic health records (EHRs).
Introduction “Health informatics is the science that underlies the academic investigation and practical application of computing and communications technology to healthcare, health education and biomedical research” (UofV, 2012). This broad area of inquiry incorporates the design and optimization of information systems that support clinical practice, public health and research; understanding and optimizing the way in which biomedical data and information systems are used for decision-making; and using communications and computing technology to better educate healthcare providers, researchers and consumers. Although there are many benefits of bringing in electronic health systems there are glaring issues that associate with these systems. The
Computers have totally proliferated the world of medicine. They are used to monitor vital signs, to operate artificial hearts and to compile and store medical histories. Though not directly related to our well being, the last use is of utmost importance. Today, the use of medical databases and computer...
It was just yesterday when Electronic health records was just introduced in healthcare industry. People were not ready to accept it due to higher cost and consumption of time associated in training people and adopting new technology. Despite of all this criticism, use of Internet and Electronic Health records are now gaining its popularity among health care professionals, as it is the most effective way to communicate with patient and colleagues. More and more hospitals and clinics are getting rid of paper base filling system and investing in cloud base storage.
Health care information system (HCIS) is an arrangement of information (data), processes, people, and information technology that interact to collect, process, store, and provide as output the information needed to support the health care organization (Wager, Lee, Glaser, 2013, p. 105). Having ready access to timely, complete, accurate, legible, and relevant information is critical to health care organizations, providers, and the patients they serve (Wagerm Lee, & Glaser, 2013). In the health care industry, the quality of care is one of the most important objectives for most health care organizations. The growing developments in health information technology have a great impact on the delivery of health care and have changed the systems used to record and share information. It has the potential to improve the quality of care if it is appropriately used. Health care organizations routinely apply computers and other technologies to record and transfer health information such as diagnoses, prescriptions, and insurance information.
Health informatics is best described as the point where information science, medicine, and healthcare all meet. It encompasses the resources, devices, and methods required to optimize the acquisition, storage, retrieval, and the use of information in health and biomedicine. Health informatics incorporates tools such as: computers (hardware and softwar...
This article is about the master patient index (MPI) which is a database that is used in a healthcare organization to maintain consistent and accurate information about each patient registered by a healthcare organization. (Rouse, 2017) A master patient index uses algorithms to constantly look for duplicate records in a healthcare organizations registration system. Some example of that would be an each for the patient’s name, medical record number, social security number, insurance company or healthcare provider. The algorithm determines whether records belong to the same patient or if more research is needed. There are two types of algorithms that and EMPI uses to match patient records probabilistic and deterministic. Probabilistic matching assigns a rank to data elements established on a specific standard level and scores the probability that two or more records belong to
Health issues throughout the human lifespan are always hard to deal with. In this essay, I will give examples of different health issues that occur throughout the lifespan of a human. The seven different stages of a human’s lifespan include: infancy, early childhood, middle childhood, adolescence, early adulthood, middle adulthood, and late adulthood. By the concluding paragraph of this essay, you will have gained knowledge of some of the health related issues of a given person throughout their lifespan.
The American Health Information Management Association is a body of health information professionals that majorly concerns itself with the improvement of the quality of medical records (Harman 104). These health data records are vital for the purposes of monitoring the progress of patients, performance improvements and for improving outcomes.
Health shapes our life, if you practice bad health practices, chances are you’re often sick, overweight, disease, or other medical issue. There are three main points of a person’s health, not just their physical health. The three parts are; social, mental/emotional, and of course physical. Setting health goals depends on age, body, and health of a person. I am 14 years old, and I am 5 feet tall, around 100 pounds. I’m generally the correct size for someone of my age. Though, it’s hard to achieve perfect health.
To better understand the roles needed to enhance the public health infrastructure; one must first know the purpose of a health informatician. An informatician is a person who studies or work in the field of informatics. According to the American Medical Informatics Association Inc., “Public Health Informatics is the application of informatics in areas of public health, including surveillance, prevention, preparedness, and health promotion. Public health informatics and the related population informatics, work on information and technology issues from the perspective of groups of individuals” (2016). In order to build a solid infrastructure
Health literacy plays an important role in individuals’ decision-making. The scope of health literacy does not limit to traditional medical perspective. In fact, it has extended from the basic understanding of diseases and medications to all aspects that affect health. As one of the key social determinants, health literacy has huge impact on health and well-being. Its influence is associated with disease prevention, healthy lifestyle promotion, policy making, etc. This essay will first discuss the concept of health literacy and the consequences that link to it, and then give a strategy—designing user-centred messages in education, to improve health literacy,
Yignesh Ramachandran states in an article that health informatics “manages all aspects of the effective and efficient planning, collection, organization, implementation, analysis and use of data to create information within the healthcare system.” It gives easier access of client information to the interprofessional team. This system can improve the quality of health care, lowers paperwork and increase productivity. It also decreases the interpersonal time with clients.
It has reached the day and age where accurate and real time prediction tools are needed in modern clinics and hospitals. To utilize predictive medicine it is important to use the right trends of data mining methodologies to get accurate results (Paramasivam et al. 2014).