CRIM 2653 Lecture Notes - Lecture 7: Canada Health Act, Ontario Health Insurance Plan
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(Please Summerize the work down below, thank you) | |
Political | Economic |
Growing political influences on healthcare advances | Cost of living increases |
Global government influence on healthcare cost | Cost of insurance prices |
Government control of Medicaid, Medicare funding | Rise of forecasted interest rates |
Social/Cultural | Technical or Technology |
Increase average age of population | Demand on new medical treatments |
Patient expectations increase | Customize treatments |
Demographics are in constant change | More advance service facilities |
Environmental | Legal |
Growing need for green business | Constant change of government drug Regulations |
Environmental agenda and community awareness | Consumer laws |
Health and safety regulations | |
Porters 5 forces of business model | |
Competitive Rivalry | |
Growth opportunity for healthcare companies are expected to growing the next few years | |
Increase in new revolutionary drugs both in and outside of the US | |
Threat if New Entrants | |
Strict government regulations | |
Difficult to keep up due to constant change | |
Huge startup cost | |
Substitute Products | |
Threat of other substituting product and service at lower cost | |
Bargaining Power of Customers | |
Generic drugs offered at large discount to consumer | |
Larger less customized healthcare facility with lower housing costs | |
Several facilities offering similar services. | |
Bargaining power of supplier | |
Medical suppliers have a large pricing power | |
Bargaining power of physicians and nurses is huge because of large hospital benefits |
Swot Analysis
Strengths
Highly trained and capable employees
Market experience
Strong leadership
High level of organizational efficiency
Excellent facilities
Strong commitment to bettering the community
Weaknesses
Increased cost of healthcare could lower our clientele
Limited staff resources
Limited cash flow to hire and train new employees
Lack of resources
Opportunities
Fast growing technology opens new doors for using state of the art equipment to better serve the patients. Nursing and residential care is one of the fastest growing industries Aging population Threats Uncertainty in political and economic climate causes hesitation for receiving new patients. Funding constraints Highly competitive market Product or Service Analysis Our services will be used by patients who cannot afford experimental treatments and patients who have been abandoned by the system because hospitals can no longer provide medical assistance. At our facility, we will be able to work with the families and provide them with different payments options, such as low monthly payment plans. Our main goal is to be able to treat the patient at a very affordable cost; however, if any patient does not possess the means to pay for treatment, he or she would not be turned away; our facility will tap into government and private funding to cover treatment cost. The beauty of this service is that there isnât a charge of any kind to take part in our program because it is completely funded by government grants. Individuals that would take part would more than likely not have the means to pay a monthly deductible. Due to the nature of the business listed as a non-profit agency, there is no way to make a profit of any kind, as it would jeopardize the business in its entirety. Some of the market factors that create a demand for our services include the need of medical care after having maximized all resources, the number of low income families, and the number of patients facing health issues needed extended medical care. Opportunities that may derive from this business is the opportunity to expand and open multiple facilities, while extending a helping hand to many more in need. The risk, however, is the unstable funds deriving from grants. This can pose a huge treat to the business, as grants often times come and go and cannot be counted on as a constant income. After studying the healthcare system and current policies in place, data shows many individuals facing severe health issues usually go untreated and uncared for due to the outrageous cost of medical care. It is devastating to see how often people, especially the elderly, are sent home and forgotten for the mere reason that hospitals and doctors are not willing to care for patients without financial means. In fact, in 2009 Harvard news reported 45,000 annual deaths due to lack of health coverage in the U.S. alone, which is significantly higher than the 18,000 reported by USA Today in 2002. Financial Analysis Clermont will be a nonprofit organization, dedicated to help the most needed. To open the facility fully operational we must take in consideration some fixed expenses like the land acquisition, permits, interest, brokers, administration fees, professionals (facility setup), staff, reports (environmental, occupational, fire, FDA), electricity, water, phone, water & sewer , connections, taxes, insurance, management, security, advertising, accountants, food, lawn mowers, bank fees, etc. The facility will need have a total value of approximately three million dollars, but if we break the price of the land acquisition in to a thirty (30) year mortgage we can star up the business with an investment of approximately $ 233,944.61 USD to cover the first month of operation including all the startup permits and connections. After the first month the fixed expenses will be $184,444.00 USD with the exception of the months were taxes are due; taxes are around $ 43,000.00 USD paid quarterly will increase the tax month (depending on the facility fiscal year) for $ 10,750.00 USD approximately. We will fund all the costs with private and public funding, fundraiser, events, raffles, and most important with the help of the community. As we mentioned before, Clermont is a nonprofit organization and we will do everything in our power to give the relief to the families in need. No one will be rejected because they do not have the money or the insurance cannot help. No money will be required from patient and every single dollar received will be spent in the patients, and in improving our facility and our service every day. We believe our financial even breaking point will be a year after we begin operations, and be profitable soon after. There are many patients in need, and with the government and public grants each person will receive the treatment they need, and we will become the hope of many. |
CASE STUDY |
It used to be that epidemiologists at the CDC only knew that you had the flu when you visited your doctor and the doc- tor then reported that information to other agencies. By the time this information made its way to the CDC or state health departments, it was often several days old, which meant that the medical community was always playing catch-up. And of course, your doctor was only aware of your illness if you showed up at his office, not when you decided to tough it out at home. Nowadays, however, before you ever go to the doc- tor, you are likely to search the Internet for âflu symptoms,â tweet your suddenly declining health status, or Instagram yourself lying in bed. Study the case below, which shows how the Internet and social media have impacted the field of epi- demiology, and then answer the questions that follow. Google Used to Predict Influenza Outbreaksâ2008 In 2008, Google launched Google Flu Trends, an applica- tion that compiles aggregated data from key word searches for clinical terms, such as thermometer, chest congestion, muscle aches, or flu symptoms. Google reports the data on a website, which then provides an early-warning system for the locations of new flu outbreaks. Because the data are collected from searches performed each day, trends in flu symptoms become apparent much more quickly than when they are based on data reported during office vis- its or in lab reports from physicians around the country. When the CDC compared actual cases over the course of a year with Googleâs findings, the data from the two sources matched. Initially, Google was only compiling information about flu trends in the United States and Canada. But after the H1N1 virus appeared in Mexico in 2009, the CDC asked Google to go back and look at Internet searches conducted by people in Mexico during that time. Evaluation of the data indicated that Google detected an uptick several days before the CDC did (Figure 23.1). 1,200 1,000 800 600 400 200 0 Influenza activity 1113151719212325272931 2 4 6 8 1012141618202224262830 2 Suspected Confirmed Mar Apr May Date of illness onset Intense High Moderate Low Minimal Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Figure 23.1 2009 Inflenza activity (a) Data from the Centers for Disease Control, based on physical examination by health care providers, shows a peak in influenza cases in late April. (b) Google âFlu Trendsâ shows an influenza peak in February. |
No. of cases
Case Study Exercise 23 Morbidity and Mortality Weekly Report 199
Epidemic tracking based on Internet searches reflects what is called collective intelligence. It works because indi- viduals using their personal computers tend to search for terms related to their immediate needs and intentions, and they generally do this before presenting in a doctorâs office or emergency room. The methodology used in the Google search was published in the prestigious science journal Nature, and another independent study has been published about a similar search analysis conducted by Yahoo, showing that it was effective in predicting flu trends.
Some people worry that data collected from Internet searches may compromise individualsâ privacy. However,
Google maintains that Flu Trends cannot be used to iden- tify individual users because the data are anonymous and are aggregated before being presented. Another potential drawback is that this data collection method is less likely to be useful for tracking epidemics in societies having a low percentage of computer ownership, namely, developing countries. However, considering the high stakes involved in identifying an epidemic quickly, Internet search term analy- sis holds great promise for public health. And, unlike most health innovations, itâs free!
3. How might data collected in this way not be representative of a particular population?
4. Explain why the two graphs in Figure 23.1 do not show influenza activity peaking at the same time.
6. In 2013, Google Flu Trends vastly overestimated the number of cases of the flu in the United States. One explanation for this was that there was a greater than usual number of media reports about influenza early in the flu season. Based on your knowledge of how Flu Trends works, explain why Google missed the mark in 2013