Assessment of Patient Information at UTS Hospital

TITLE: ASSESSEMENT OF THE PATIENT INFORMATION FROM UTS HOSPITAL
The report on assessment of the data on patients at UTS Hospital
Executive summary
This paper assesse the patient on the UTS Hospital observed on over 34000 patients. The data was
collected to observe different issues touching patients and the hospital. The data covered many issues
including but not limited to the hours taken in the ICU, financial status, the level of emergency of their
need and many others.
By addressing these issues, the report is establishing ways the hospital can improve on the service they
offer to patient upholding the image of the hospital in general. The areas with shortages will be improved
for future better health care.
The data was analyzed using (SPSS) and the main outcome from our findings were that many patients
visited General medicine as the General Practice receiving least patients. The most number of patient
were between the age of 21-40 years and many of them were in marriage. Acute service category received
almost all patients. It also indicate that the main mode of separation is discharge by the hospital. (Galt,
2008)
Introduction
UTS Hospital is a public hospital in Australia which is located in the New South Wales. It is the
University of Technology of Sydney serving both students and the public. They offer several medical
services including treating medical conditions, illness and other physical problems. The hospital also
offers consultation for a broad range for issues of lifestyle and sexuality and health. Health issues of
women including the contraception advice, testing pregnancy and even the antenatal care are dealt with.
Services on the travelling advice and vaccination, pamphlets providing information on health issues,
vaccines for students taking nursing and assistance of students with difficulties in examinations are some
of the services offered. The data assessed contained the health information of the patient recorded
sometimes back. The health information contain the medical history of the patients including the
symptoms, diagnoses, procedures done and the outcomes. The information also contain records such as
the history of the patient, result of the lab tests, x-rays, clinical information and the notes. There is
importance of analyzing such information as they help to see how the health of patients have changed.
Background information
The health information the patients are taken whenever they visited a hospital. These information includes
their medical history, clinical information, the results of the labs x-rays etc. These information are very
important for both the hospital and the patients. These health information are visited by the health care
providers for the analysis of the general healthcare.
Health information helps the hospital to make some informed decision in providing health care to the
patients. But this need a proper analysis of the data contained in the patient files.
The data from the UTS Hospital contained the information of the patients ranging from the number of
hours they stayed in ICU, the number of hours they stay in the hospital, whether they are able to settle
their medical bills. Such information are the basis of through which the management can make informed
decision to improve the image and offer good services.

Methods
The data was obtained from the health information department of the UTS Hospital. Through the use of
research assistants, the information were extracted from the patient files. These are personal files of the
patients recorded from the health workers and kept safely on the selves.
The analysis involved the whole target population. All the patients file with the information needed were
data got extracted from.
The data was then recorded in the Microsoft excel and then transferred to SPSS for the analysis. The
descriptive statistics were obtained to compare the frequencies and the percentages of the variables.
(Dawn J. Storey, 2008) (Robert Gürlich, 2005)
FINDINGS
The following are the findings of the UTS Hospital data
1. AMO specialist
The table below shows the different specialist visited by the patients surveyed the hospitals. The majority
of the specialists involved in the General Medicine at 19% while the specialists in general practice form
the lowest number of 0.001%. (Mary L. McHugh, 2003) (Besselaar, 2003)
Frequency Percent
Anesthetics 156 .5
Cardiology 817 2.4
Cardiothoracic Surgery 419 1.2
Casualty 3629 10.5
Dental 204 .6
Ear, Nose & Throat 677 2.0
Endocrinology 237 .7
Faciomaxillo Surgery 262 .8
General Medicine 6565 19.0
General Practice 1 .0
General Surgery 3385 9.8
Gynaecology 1582 4.6
Neurology 225 .6
Neurosurgery 662 1.9
Obstetrics 7652 22.1
Oncology 704 2.0
Ophthalmology 219 .6
Orthopedics 1812 5.2

Pediatrics 2568 7.4
Plastic Surgery 889 2.6
Psychiatry 823 2.4
Radiology 3 .0
Rehabilitation 173 .5
Renal Medicine 186 .5
Urology 774 2.2
Total 34624 100.0
Gender
On the gender of the specialists; majority 58.3% were females whereas male formed 41.7% of all the
specialists. (Oerther, 2015)
Frequency Percent
Female 20200 58.3
Male 14424 41.7
Total 34624 100.0
Age
On the age of the respondents; 25.7% were the people between 0-20 years of age, 30.4% were people
between 21-40 years of age, 19.1% were people of age between 41-60 years of age, 18.8% were people of
age between 61-80 and 6% were between the ages of 81-100 years. (Miller, 2013) (Billard, 2006)
Frequency Percent
0-20 8909 25.7
21-40 10523 30.4
41-60 6608 19.1
61-80 6514 18.8
81-100 2070 6.0
Total 34624 100.0
Marital status
On the marital status of the respondents, 2.9% said they are divorced, while the married formed the
majority of 44.5% of the total population surveyed, followed by 39.5% who said they are single, 3.3%
said they do not know their marital status, 8.3% of them said they are widowed while the least group
1.5% was formed by separated. (Cutright, 2008) (Teachman, 2016)
Frequency Percent
Divorced 1003 2.9
Married 15400 44.5
Separated 503 1.5
Single 13678 39.5
Unknown 1151 3.3

Widowed 2889 8.3
Total 34624 100.0
Discharge intension
On the intention of discharging; 81% said their intended discharge was overnight while 19% their
intended discharge was the same day.
Frequency Percent
Overnight 28051 81.0
Same Day 6573 19.0
Total 34624 100.0
Length of stay
On the length of stay in the hospital by the patients; 96.4% was found to have stayed in the hospital
between 1-19 days, 2.6% patients stayed in the hospital for days between 20-39 it followed by 0.6% of
patients who stayed in the hospital between 40-59 while 0.2% of the patients stayed in the hospital for
days between 60-79 as the patients who stayed beyond those days were small in number as shown in the
table. (Farid Yudoyono, 2016)
Frequency Percent
1-19 33362 96.4
20-39 893 2.6
40-59 214 0.6
60-79 80 0.2
80-99 27 0.07
100-119 11 0.03
120-139 6 0.02
140-159 1 0.0
Others 4 0.0
Total 34624 100.0
Service category
On the category of service of the respondents; 88.3% of the respondents had their service categorized
under acute, followed by 9.8% who had their service categorised under neonate, 0.9% had their service
categorized under rehabilitation, 0.8% had their service categorized under palliative care, 0.1% had their
service categorized under maintenance care, 0.001% both had their service categorized under geriatric
evaluation and psychogeriatric.
Frequency Percent
Acute 30586 88.3
Geriatric Evaluation 3 .0