The Leading Physicians of The World

In the patient and people-centric world of healthcare, people’s understanding of how machine learning and business intelligence can improve patient care and save valuable time and resources is only just starting to be uncovered. The idea that machines can learn about their patients and help them is becoming more widely accepted across the medical field. Sometimes, it may seem strange to talk about “business intelligence” in a sector devoted to helping people get better and stay well. That is only until we realize that BI concepts like descriptive, diagnostic, predictive, and prescriptive analytics, all which sound like the medical terms, can actually be applied to healthcare in life-saving ways. Applied Machine Learning in Healthcare Machinelearning in medicine has been making headlines lately. Google has developed a machine learning algorithmto help identify cancerous tumors on mammograms. On top of that, Stanford is using a deep learning algorithm to identify skin canc

Glaucoma can be defined as a group of disorders that lead to progressive optic nerve damage which later cause loss of nerve tissue resulting to vision loss. Glaucoma is often linked to increased internal eye pressure (ocular hypertension). If glaucoma goes untreated, or uncontrolled, it first causes peripheral vision loss and later can cause full blindness. Glaucoma Stats and Facts       ·          Glaucoma is one of the leading causes of blindness across the world. Glaucoma can cause blindness if it is left untreated. However, about 10% of glaucoma patients who receive proper treatment still lose their vision.       ·          Glaucoma is the second leading cause of blindness (behind cataracts) across the globe.       ·          Glaucoma has no cure and once vision is lost it cannot be regained. With surgery or medications further loss of vision can be halted. Glaucoma is a chronic condition which requires monitoring for life. Diagnosis for this condition is

With the variety of non-treatable and fatal disease challenging the health experts around the world, artificial intelligence is being proved to be a sigh of relief in many cases. The basic purpose of healthcare AI applications is to analyze relationships between treatment techniques and patient survival rates. Such applications are knitted around practices such as diagnosis, treatment, drug development, personalized medicine and patient monitoring and care. There are a number of healthcare startups that are developing AI based solutions for the healthcare industry. Listed below are healthcare startups to look out for in 2018 as far as AI based healthcare solutions are concerned.       1.       NeoLight NeoLight is a medical tech startup developing products for newborn health conditions. Their first device, which received FDA clearance, provides care for infant jaundice, a condition that occurs in 60 percent of infants around the world. NeoLight is also developing therapeut

Chronic diseases such as cancer, stroke, cardiovascular disease, arthritis and diabetes are the leading causes of death and disability in the United States and throughout the world. Statistics show that more than 40% of U.S adults suffer from chronic diseases making the diseases responsible for about 23% of all hospitalizations in the U.S. Statistics show that cancer and heart disease account for more than 50% of all deaths among elderly people. Although some chronic diseases are very common and costly, many of them can be managed. Many of them are linked to lifestyle choices that one is capable of changing.   Engaging in physical activities, eating nutritious foods and quitting smoking are some of the measures many can take to prevent and manage chronic diseases. Chronic Care Management You can manage chronic diseases at home, but not all of them. Also, some stages of chronic diseases need medical attention. This is the reason why chronic care management (CCM) is i

Nurses play vital roles in health care organizations. How they are managed by their leaders can significantly affect their performance and influence patient outcomes. It is important to understand the different leadership styles that are found in the workplace, as well as their effects on the staff and those under their care. Here are some different nursing leadership styles.       1.       Autocratic Leadership The autocratic style of leadership involves a leader or nurse manager who makes all important decisions, gives orders, and issues directives to employees. Autocratic leaders discourage workers from questioning the validity of any directives. The autocratic style of leadership is appropriate for workplaces such as jails, prisons, the military, and any settings with routinized operations because, in these places, the lives of masses of people completely hinge on workers following very specific orders step by step.       2.       Democratic leadership In this st

Today, there is a strong media coverage on the increasing cost of health care in the United States andin many other countries around the world. This gives rise to a common concern in these countries. So, the question is how best to control the rate of growth in health care expenditures whilst still delivering good healthcare. Total health care costs are driven by numerous and complex micro level decisions by politicians, clinicians and managers. Therefore, macro cost control can only be achieved through reference to micro level analysis. Hospitals have increasingly adopted cost accounting and case mix analysis systems. Activity cost systems are gaining attention in industrial settings that are competitively constrained because these systems provide a link between cost drivers and organizational activities. Although the development of micro-activity costing seems apparent in the use of diagnostic related groups (DRGs), cost escalation and the difficulty of making informed decis