. The institution received an “A+” grade from the NAAC and is ranked number 33 in the NIRF rankings.
Graduates and working professionals have a fantastic chance to update their credentials and skill sets by sitting and studying from the comfort of their homes, thanks to JSS online education program. Additionally, this will unquestionably increase their job options for better work prospects and career advancement.
The process of admission for online learning at JSS Online Education is available for courses such as BSc, BBA, and MBA. Students can apply for these specific courses if they want to earn a degree via online education. Information about enrollment and its process is provided down below for students who are interested in taking part in JSS Online Education.
Candidates will have to register themselves by filling in the form with personal details such as name, date of birth, mobile number, state, etc., and they will also select their course in this process.
Candidates will be able to check their eligibility after registration.
If the candidate meets the eligibility criteria, then they will be given a provisional allotment.
Candidates will have to deposit the fee via online mode in order to confirm their admission.
Admission will be confirmed via SMS/Email after the submission of the fees.
BBA is a three-year undergraduate course that is available at JSS Academy of Higher Education & Research via online education. Students can pursue this online BBA in Hospital and Healthcare Management. This allows the students to apply the principles of Hospital and Health System Management.
Through a combination of lectures, interactive courses, and webinars, this BBA course gives students a grasp of the main ideas in Hospital and Health System Management utilizing an authentic methodology. This curriculum includes presentation-based training that emphasizes analytical reasoning and problem-solving techniques. The curriculum also provides chances to build skills for dealing with difficulties in healthcare organizations.
A candidate must hold a 10+2 certificate in order to be qualified for the online BBA program at JSS AHER. The cost of this course is around INR 90,000/-.
BSc in Psychology is available online mode at JSS AHER. The three-year undergraduate program is designed for individuals from various backgrounds who want to advance their understanding and expertise of psychology. The curriculum seeks to produce research and instruction that meets high global expectations and gives students a solid foundation in psychology, studying human behavior.
The goal of the course is to equip students with the analytical and practical abilities they need to analyze, assess, plan, and execute solutions and strategies for actual problems involving psychological techniques. A 10+2 education with a biology and arts background is the basic requirement for enrollment in the B.Sc Psychology program at JSS AHER. INR 45,000/- is the fee for this course.
MBA at JSS AHER is available in online mode with Hospital Administration as the only specialization present at the time. It is a two-year course. This program, with an emphasis on hospital administration, was created by experienced professionals and subject matter experts. The curriculum is designed to be updated regularly to reflect the most recent developments in domestic and international hospital administration.
The program offers interactive course materials that are electronically distributed with round-the-clock online learning resources. Through various projects and tasks, this self-paced curriculum with experienced professors gives extensive exposure to real-world methods.
Eligibility requirement: Three years of undergraduate study or individuals with professional working experience in the healthcare department are eligible for this course. This course will cost around INR 2,00,000/-.
Many people think energy conservation goes out the window during a heat wave. The temperature soars, and all the air conditioners work overtime.
Almost all of Canada was gripped by sweltering, sluggish weather recently, and likely will be again before the summer ends.
So here are some expert tips on beating the heat — without breaking the bank.
“In my home, we close the vents in the basement because it is typically cooler there anyway,” says Dave Walton, director of home ideas for Direct Energy.
He also recommends using a programmable thermostat, which can let your home warm up when you’re out, then reactivating the A.C. before you return.
“Use your shading and drapes strategically, so the sides of your home that get direct sunlight are protected,” recommends Simi Heer, a Power Smart spokesperson at BC Hydro.
“These inspections give your a home energy-efficiency rating,” Walton says.
The assessment may make you eligible for government energy rebates, as well.
Evidence-based physical examination: sensitivity and specificity (part I).
In clinical practice you have two main responsibilities: to determine the right diagnosis and to assign the correct treatment. This means the diagnostic tests you are using must be as accurate as possible. This way you can categorize patients as high or low risk for a certain disease and not choose blindly. When I speak of diagnostic tests, I do not only mean laboratory tests or imaging studies – you are the most important diagnostic test there is! However, a lot of physical examination points are not as useful as you’d think, yet still taught as something of high importance in clinical practice.
When we talk about sensitivity and specificity, you should set your mind that “Has the condition” and “Does not have the condition” are the default starting points, not “Tests positive” and “Does not test positive”, about which we will talk in the following blog post.
The green column in the Bayesian square represents the total number of patients who you know have the condition, including those who have the condition, but test negative (a false negative). The red column represents the total number of patients who you know do not have the condition, even though amongst them there are patients who test positive (a false positive). It is obvious, that false negatives and positives should be avoided as much as possible – in the first case you can underdiagnose a patient and abstain from so needed treatment, and in the latter case you can get faulty information about the patient’s condition and subject them to a battery of unnecessary diagnostic tests or treatments.
Sensitivity (SN) is the green column – the proportion of patients with the condition who have a positive test. You can count the SN by dividing the number of patients who you know have the condition and test positive, by the total number of patients – those who have the condition and test positive, plus those who get a false negative even though they are ill: A/(A+C). From this equation you can see, that SN rises if the number of false negative test results decreases (C goes down).
Let’s say you tested a bunch of people and now have 100 patients who you know have the condition and tested positive for it (A) using a diagnostic test that has 60% SN for that condition. How many patients might not have gotten a treatment for that condition in the process because of all the false negatives? Well, 100/(100+C) = 0.6, so C is roughly 66.7 patients. This means that if you get the right diagnosis for 100 people, 66.7 are underdiagnosed in the process (1 false negative for every 1.47 true positive). Now let’s do the same example when the SN is 90%. In this case, the number of false negatives (C) is only roughly 11.1 patients, and that means that the ratio changes to 1 false negative for every 9 true positives.
Let’s look at it from a different angle. Now you have a total of 100 patients tested – not tested positive for a condition you know they have, but just tested positive in general (A+C). The SN is the same, 60%. How many did you miss this time? Well, the number of patients tested positive for a condition they actually have this time is 60, so C is: 100–60=40. Again, let’s do this with a 90% SN. The number of patients tested positive for a condition they actually have is 90, and the number of false negatives is 10. The ratio of 9 to 1 is more evident.
Right, on to the specificity (SP)! Here’s the Bayesian square again so you wouldn’t have to scroll up.
SP is the red column – the total number of patients without the condition, including those who test positive despite being healthy. In other words, it is the proportion of patients without the disease who have a negative test. SP, unlike SN, protects from overdiagnosing with false positive when there actually is no disease. SP can be counted by dividing the number of patients who you know do not have the disease and actually test negative for it (D) by the total number of patients tested, including those who you know do not have the condition, yet test positive (false positive). SP rises if your diagnostic test gives as few false positives as possible (B drops).
Let’s say you tested a bunch of people with your new fancy diagnostic test and now you know, that now you have a total sample size of 100 patients who tested negative for a condition you know they do not have (D) using a diagnostic test that has 60% SP. How many people got a false positive result as collateral damage in the process? Well, D = 100, so B + D is roughly 166.67 patients and B is about 66.7 patients. So in the process of testing your new diagnostic test you gave about 67 patients a faulty diagnosis. Now if you would have done that with a diagnostic test that has 90% SP, the amount of false positives would be only about 11 people. A different example again would be with a total of 100 patients tested using a diagnostic test with 60% SP (just tested, not tested negative for a condition they do not have). This means B + D = 100, so D = 100 x 0.6