Sign Up Now
Get instant access to over 1 million+ study documents
OR
Already registered? click here to login
By creating your account, you agree to our terms of service, privacy policy and student honor code.
Diabetes Database for Older Patients
A diabetes database must capture information that is directly related to the disease and some of the valuable elements include age, A1C results, skin fold, blood pressure, weight, date of first symptoms, and blood glucose level. Age of the patient is valuable because it assists in determining how old the patient is and it can also be used to determine the best cause of treatment to be used especially for diabetes. The age element will have a data type of number since age is recorded in figures. A1C results are obtained after the patient has undergone testing for diabetes. Theses element is valuable because the results will help establish if the patient is diabetic or prediabetic (Balas & Boren, 2000). A1C results are recorded in number format because the results are normally obtained in percentage. Skinfold element is used to determine if the patient has any skin disease that is related to diabetes. Skinfold will be recorded as a binary because it requires a yes or no. Blood pressure is closely monitored for diabetic patients because a high blood pressure can be lethal especially for diabetic patients. Blood pressure will be a text value because it is measured in terms of systolic pressure over diastolic pressure. Weight element offers information regarding the BMI of the patient, which is vital for checking if the patient is overweight or underweight. Weight...
Date of first symptoms assists in establishing the onset of the disease and this can be beneficial for treatment management. The value will be a date. Blood glucose level will establish the patient's blood glucose level at first visit and assist in determining the appropriate treatment. This will be a number value in the database.
Type of Data Integration
This patient population would require a virtual integration. This is because the information stored in the database should only be viewed by others and not modified. A virtual integration allows for the unified view of data from a single logical source, which reduces the complexity of accessing data across distributed systems or data sources that have different models (Weaver, Ball, Kim, & Kiel, 2016). A majority of the other systems would only need to have an overview of the information and since they might be using different models, the best way is to allow them to access only the information they require. This would also increase the privacy of the patient and ensure that the data is not modified by unauthorized personnel. Virtual integration has zero latency of data updates and there is no need to have separate storage for the consolidated data. This is because the data is only provided as stored in the other dataset and no modification is allowed to the data.
Since all the two…
References
Balas, E. A., & Boren, S. A. (2000). Managing clinical knowledge for health care improvement. Yearbook of medical informatics 2000: Patient-centered systems.
Tomar, D., & Agarwal, S. (2013). A survey on Data Mining approaches for Healthcare. International Journal of Bio-Science and Bio-Technology, 5(5), 241-266.
Weaver, C. A., Ball, M. J., Kim, G. R., & Kiel, J. M. (2016). Healthcare information management systems. Cham: Springer International Publishing.
Osteomyelitis in the Diabetic Patient Management OF OSTEOMYELITIS IN THE DIABETIC PATIENT Osteomyelitis is an infection of the bone or bone marrow which is typically categorized as acute, subacute or chronic.1 It is characteristically defined according to the basis of the causative organism (pyogenic bacteria or mycobacteria) and the route, duration and physical location of the infection site.2 Infection modes usually take one of three forms: direct bone contamination from an open
Hhs-stat.net). Type I diabetes is usually diagnosed in children and young adults and results from the body's failure to produce insulin. Type 1 account for 5% to 10% of all diagnosed cases of diabetes (Centers for Disease Control, National Diabetes Fact Sheet, www.cdc.gov/diabetes/pubs/pdf/ndfs_2003.pdf). The most common form of diabetes is Type II, which accounts for about 90 to 95% of all diagnosed cases of diabetes (Centers for Disease Control, National Diabetes
Antipsychotic Medication and the Physical Health Problems of the Patient With Mental Illness More and more attention is now being given to the mental disorders especially in U.S. And due to this increase in attention an increase has also been noticed in the treatment of these mental health issues (Zuvekas, 2005). About 30% of the total U.S. population that is between the ages of 18-52 is being affected by mental health
Medical Conditions -- There are a number of factors that can increase the likelyhood of type-2 diabetes: hypertension, eleveted cholesterol, and a condition called Symdrome X, or metabolic syndrome (combination of obesity, high cholesterol, sedentary lifestyle, stress, and poor diet). Cushing's syndrome, cortisol excess and testosterone deficiency are also associated with the disease. Often, it is a number of co-dependent conditions that seem to give rise to diabetes (Jack &
(Worcestershire Diabetes: a New model of care Stakeholder event, 2007) The continuum of care for the diabetic patient is shown in the following illustration labeled Figure 1. Diabetes: Continuum of Care Source: Worcestershire Diabetes: a New model of care Stakeholder event (2007) The continuum of care for diabetes begins at the moment that the individual is found to have diabetes and continues across the individual's health care providers and across the varying stages
cultural diversity issues and its impact on nursing professionals' practice. It assesses a client hailing from a different culture, and employs information derived from the assessment determining and reflecting on health practices and beliefs of the client's culture. Lastly, nurses' role in the care of patients hailing from diverse backgrounds care is analyzed, and a conclusion is drawn. Client Interview Data Client's health beliefs in relation to cultural diversity The client comes