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*Corresponding author: Email: slamet.isworo@dsn.dinus.ac.id, slametisworo512@gmail.com;
Asian Journal of Advanced Research and Reports
12(4): 18-31, 2020; Article no.AJARR.58812
ISSN: 2582-3248
The Assessment of Medical Recording Resources in
Asembling Units with Workload Staffing Needs
(WISN) Methods in Bendan General Hospital,
Pekalongan
Nisa Bela Aryana
1
, Maulana Tomy Abiyasa
1
, Hery Kurniawan
2
and Slamet Isworo
3*
1
Medical Record Department, Faculty of Health, Dian Nuswantoro University, Semarang, Indonesia.
2
Medical Record Department, Bendan Regional General Hospital, Pekalongan, Indonesia.
3
Environmental Health Department, Faculty of Health, Dian Nuswantoro University, Semarang,
Indonesia.
Authors’ contributions
This research has been conducted based on collaboration among all authors. Author NBA designed
the study and wrote a draft article. Authors SI and NBA had written article protocols, managed and
conducted research analyzes. Authors MTA and HK managed literature searches. All authors read
and agreed to the final draft of the article.
Article Information
DOI: 10.9734/AJARR/2020/v12i430294
Editor(s):
(1)
Dr. Weimin Gao, Arizona State University, United States of America.
Reviewers:
(1) Lizzy Oluwatoyin Ofusori, University of KwaZulu-Natal (UKZN), South Africa.
(2)
Gul Sultan Ozeren, Sinop University, Turkey.
Complete Peer review History:
http://www.sdiarticle4.com/review-history/58812
Received 15 May 2020
Accepted 22 July 2020
Published 04 August 2020
ABSTRACT
Objective:
Bendan district general hospital is a type C hospital owned by the Pekalongan City
Government which is demanded to have good service performance. The assembling unit in the
Medical Records department at the Hospital is a unit that influences the overall service process
because in this unit all medical records management for patients from all wards is managed.
Research Purposes: This study aims to find a general description of the workload and the needs
of assembling officers in the medical records department. Method: This research was conducted
by assembling officers, from February to March 2020, with the type of descriptive research using
the interview method based on the Workload Indicator Staffing Needs (WISN) Formula.
Original Research Article
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
19
The Results:
The results of the study were based on the calculation of the WISN method so that
the officers' needs were 2 people for 7 hours / day and with 6 working days / week. The effective
working day in 1 year is 227 days with a standard workload of assembling medical record
documents on the inpatient ward of 14887 documents and inputting data in a computer with a
standard workload of 23820 documents.
Conclusion: that the workload of the assembling officer in the medical record department is not
appropriate, there is still a buildup of medical records in the assembling section.
Suggestion: It is necessary to add assembling officers to the medical record unit and to provide
ongoing training so that the performance of officers is compatible in performing their work.
Keywords: Workload of officers; assembling units; performance officers; workload indicator staffing
needs (WISN); medical record documents.
1. INTRODUCTION
Hospitals are an integral part of a social and
health organization with the function of providing
comprehensive services including curative
disease healing services and preventive disease
prevention to the community[1]. The operational
units in implementing units in hospitals must
have effective and comprehensive performance
so that they can run well and sustainably [2].
The Medical Records Department is the most
important unit and is the main key in service in
hospitals, among others, to support the smooth
management of medical records. In the
implementation, it is needed enough officers,
qualified and able to work optimally to improve
the quality of hospital services. [3].
The medical record department is tasked with
creating an orderly condition for the
administration of medical records so that it can
support efforts to improve health services in the
hospital, without being supported by a good
medical record management system, it will not
create an orderly hospital administration[4]. The
medical records department has an assembling
work unit that is in charge of receiving medical
record documents with a daily census from the
ward then recorded in the expedition book,
examines the ability of the contents of the
medical records, compiles and reassembles the
medical record files in the order specified,
records and controls the record documents
medical contents are incomplete, controlling the
use of medical record numbers and inputting
documents that have been assembled into
hospital information system [3].
One way to improve the quantity and quality of
adequate health workers is to do human
resource planning based on the workforce needs
and workload of officers. Human resource
planning can be done by means of calculations
using the method. One way to increase the
quantity and quality of adequate health workers
is to do HR planning by taking into account
human resources needs and workloads of
officers. HR planning can be done by calculating
using the Workload Indicator Staffing Needs
(WISN)[5]. According to the Decree of the
Minister of Health of the Republic of Indonesia
Number 81 / MENKES / SK / I / 2004 states that
the Employment Needs Indicator of Workforce is
an indicator that shows the number of human
resource needs in health facilities based on
workload so that the regulation of the
allocation/relocation of health workers will be
easier and more rational. Staffing Needs
Indicator is a method of calculating the need for
human resources for health workers based on
the real workload carried out by each category of
health workforce resources in each work unit in
health service facilities, hospitals, community
health centers, and other health facilities [6].
Based on preliminary surveys in the Bendan area
general hospital in Pekalongan City which is a
type C hospital owned by the Pekalongan city
government, it was identified that the length of
the workforce of medical personnel (medical
rehearsal officers) is 6 working days ie Monday -
Saturday, as follows Monday to Monday
Thursday starts from 07.00 - 14.00 then Friday
which is 07.00 -12.00 and Saturday from 07.00 -
13.00. The human resources of the medical
record officer in the assembling unit are that
there is only one officer who carries out his own
duties and functions resulting in excessive
workload and there is a complete medical record
document. There was a return of medical records
that did not go to the assembling section but in
another part, there was an error returning the
medical record documents. This causes the
assembling officer needs extra time to correct the
error and causes the assembly process delay
and workload buildup due to labor that is not in
accordance with the workload [7].Based on these
data it is necessary to research on managing the
needs of assembling officers in the medical
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
20
record unit using the workload indicator staffing
needs method based on the real workload on
assembling officers at Bendan - Pekalongan
Hospital in 2020 so that it can be known [8] the
ideal number of officers in the assembling
section is based on the workload of officers in the
assembling unit building
2. METHODS
According to the World Health Organization that
the method used to analyze the optimal number
of medical personnel needs is to use the Work
Load Indicator of Staffing Needs method by
determining work units and categories of health
resources, determining available time, compiling
job descriptions and products produced,
calculating workload, compile leeway standards,
set Human resource requirements [5]
.
This research was conducted at Bedan
Pekalongan General Hospital, February to March
2020. This type of research is descriptive. The
object of this research is the workload of medical
record personnel in the assembling unit using the
Workload Indicator Staff Need (WISN) method.
Calculation of the need for medical records in the
assembling unit is done by observing work
sampling and secondary data then the data are
analyzed using the Workload Indicator Staff
Need (WISN) formula[9]. The stages of
research are as follows:
1. Set the available work time, with the
formula:
Available working time = (a- (b + c + d + e)) x
f
Information:
a) possible workdays of the year,
b) Annual leave,
c) Education and training in accordance with
hospital rules,
d) National holidays.
e) Absence from work due to illness,
permission, and so on.
f) Working time in one working day
2. Establish work units and resource
categories for medical record personnel in
assembly units
3. Develop workload standards. Standard
workload is obtained by dividing the
available work time in one year by the
average completion time of each main
activity unit. The time of completion of
each principal activity unit is the average
amount of time of each Principal activity in
1 day divided by the average number of
main activities in one working day.
4. Establish leeway standards. The allowance
standard is obtained from the number of
idles observed divided by the available
work time.
5. Calculation of medical record resource
needs with the formula:
The need for medical record personnel =
(quantity of principal/standard of workload) +
workload allowance standard
Workload calculation is done by analyzing the
comparison of the percentage of productive
activity implementation time and nonproductive
activity implementation time which is categorized
into three categories, namely: high workload if
the percentage of productive activity
implementation time exceeds the optimum
productive work time that is more than 80% of all
activity time conducted by medical record
personnel; optimum workload if the percentage
of time for carrying out productive activities is
80% of the total time spent doing medical
records, and; light workload if the percentage of
time for carrying out productive activities is less
than 80% of the total time for activities carried
out by medical records personnel [10]
3. RESULTS
1. Planning the addition of assembling officers
with the Workload Indicator Staffing Needs
(WISN) Method as follows:
Table 1. Determination of available work time (AWT)
Factor
Medical record unit staff
Information
Working days: Monday - Saturday (A) 300 day / week
Annual leave (B) 12 day / year
Absence (C) 19 day / year
National holiday (D) 6 day / year
Working time (E) 8 hour / day
Allowance Time 8 hours of work / day
Allowance 25% x 8 2 hours of work / day
7 - 2 5 hours of work / day
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
21
2. Average time on the main activities of assembling officers
Table 2. List of main medical records officer activities in the assembling unit
Main activity. Unit Quantity /years Time/activity
a) Prepare medical record documents in
accordance with applicable
regulations
45 times 11,835document 4,03
b) Input medical record documents into
the expedition book
45 times 11,835 document 2
c) Input the complete medical record
documents into the computer system
45 times 11,835 document 1,06
Table 3. Category allowance factor
Additional activities Average time Average time /
year
Available
Working Time
Allowance
standard
Assembling part
coordination meeting
2 hours/ month 24 2 hours/
years
1,578 24:1,578
0,015
Morning ceremony 30 minute / month 6 hours/ years 1,578 6 : 1,578
0,003
Total standard 0,015 + 0,003 = 0,045 x100 = 4,5
Table 4. Individual allowance factors
Additional
activities
Allowance standard Percentage of standard
allowance
%
Seminar training 6 hours / semester 12 hours / year 12 : 1,578x 100% = 0,76%
Help other units 1.5 hours / day 271 hours / year 271 : 1.578x 100% = 17,17%
Total 17,93%
3. Analysis of staff workload assembling medical records
Table 5. Analysis of the workload of medical records in the assembling unit
Main Activity Average
time /
minute
Average
time
/hours
Available
Work Time
(hours / yr)
standard
workload
Activity
quantity
staff./
activities
Prepare medical
record documents in
accordance with
applicable
regulations
4,03 0,067 1,578 23,552 11,835 0,5
Input medical record
documents into the
expedition book
2 0,033 1,578 47.818 11,835 0,2
Input complete
medical records into
a computer system
1,06 0,017 1,578 92,823 11,835 0,1
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
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Table 6. List of medical officer compliance checklist
Officer 1
Description of service
P 1
P 2
P 3
P 4
P 5
P 6
P 7
P 8
P 9
P10
P11
P12
P13
P14
P15
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
Does the official receive and
record the patient's medical record
after the patient receives inpatient
services?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Does the official conduct a
qualitative and quantitative
analysis of the completeness of
medical records?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
When there are incomplete
medical records, the officer returns
the medical records to the
inpatient department by using a
control card?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Do officers sort medical records
according to their categories?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Did the official sort the surgical
case form in the order that was
set?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Does the official sort the child's
general case form in the order
specified?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Does the official sort the adult
general case forms in the order
that they have been set?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Does the official sort the obstetric
obstetric nonoperation case form
in the order specified?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Does the official sort the
gynecological obstetric case form
in the order that has been set?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
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Officer 1
Description of service
P 1
P 2
P 3
P 4
P 5
P 6
P 7
P 8
P 9
P10
P11
P12
P13
P14
P15
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
y
t
Does the officer sort the obstetric
midwifery case forms with surgery
in the order they have been
assigned?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Did the officer sort the newborn
case form in the order that was
set?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Did the clerk put additional forms
on the back of the form?
√ √ √ √ √ √ √ √ √ √ √ √ √ √ √
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
24
Table 7. List of qualitative checklists
No
Ducument
Identification
Recording
Reporting
Authentication
Information
C
Ic
C
Ic
C
Ic
C
Ic
1 20824xx
√
√
√
√
Complete
2 20859xx
√
√
√
√
Scribble that is not
initialed
3 20798xx
√
√
√
√
Scribble that is not
initialed
4 97570xx
√
√
√
√
Complete
5 11544xx
√
√
√
√
Complete
6 20894xx
√
√
√
√
Complete
7 20890xx
√
√
√
√
Crossed out
writing
8 20945xx
√
√
√
√
Complete
9 20916xx
√
√
√
√
Complete
10 20878xx
√
√
√
√
Scribble on the
drug form
11 20798xx
√
√
√
√
Complete
12 20915xx
√
√
√
√
Complete
13 18521xx
√
√
√
√
Initially empty
nurse
14 20861xx
√
√
√
√
There are streaks
15 20619xx
√
√
√
√
Complete
16 20872xx
√
√
√
√
Scribbles and
initials of nurse not
filled
17 20877xx
√
√
√
√
Complete
18 18940xx
√
√
√
√
Initially not filled
19 20876xx
√
√
√
√
Complete
20 20910xx
√
√
√
√
Complete
21 20901xx
√
√
√
√
Initials of unfilled
nurses
22 12786xx
√
√
√
√
Complete
23 20981xx
√
√
√
√
Complete
24 20345xx
√
√
√
√
Complete
25 16721xx
√
√
√
√
Complete
26 20564xx
√
√
√
√
Complete
27 10987xx
√
√
√
√
Complete
28 25128xx
√
√
√
√
Complete
29 20189xx
√
√
√
√
Complete
30 18529xx
√
√
√
√
Complete
Total 30 30 30 16 14
Note: C = Complete, Ic =Incomplete
Table 8. List of quantitative checklists
No
Consistency
of recording
identity
Consistency in
recording the
main diagnosis
Consistent
informed
consent
Potential for
harm
Information
C
Ic
C
Ic
C
Ic
C
Ic
Consistent
medical record
20824xx
√
√
√
√
Consistent
20798xx
√
√
√
√
Consistent
20859xx
√
√
√
√
Consistent
97570xx
√
√
√
√
Consistent
11544xx
√
√
√
√
Consistent
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
25
No
Consistency
of recording
identity
Consistency in
recording the
main diagnosis
Consistent
informed
consent
Potential for
harm
Information
C
Ic
C
Ic
C
Ic
C
Ic
Consistent
medical record
20894xx
√
√
√
√
Consistent
20989xx
√
√
√
√
Consistent
20916xx
√
√
√
√
Consistent
20878xx
√
√
√
√
Consistent
29879xx
√
√
√
√
Consistent
20901xx
√
√
√
√
Consistent
18521xx
√
√
√
√
Consistent
20861xx
√
√
√
√
Consistent
20878xx
√
√
√
√
Consistent
20872xx
√
√
√
√
Consistent
20877xx
√
√
√
√
Consistent
10894xx
√
√
√
√
Consistent
20876xx
√
√
√
√
Consistent
20910xx
√
√
√
√
Consistent
20901xx
√
√
√
√
Consistent
12786xx
√
√
√
√
Consistent
20981xx
√
√
√
√
Consistent
20345xx
√
√
√
√
Consistent
16721xx
√
√
√
√
Consistent
20564xx
√
√
√
√
Consistent
10987xx
√
√
√
√
Consistent
25128xx
√
√
√
√
Consistent
20189xx
√
√
√
√
Consistent
18529xx
√
√
√
√
Consistent
Total 30
30
30
30
Table 9. Medical record information management system
Input
Process
Output
Assembling officer Receive records and thoroughly
complete the patient's medical
record after receiving inpatient
services
The refund time is 1x
24 hours to complete
the medical record
document
Minimum education is D3 Medical
Record which can operate the
existing system in the hospital
Perform quantitative and
qualitative analysis of the
completeness of medical record
documents
Medical record
documents - complete
Assembling Room. (Criteria: Close
to the indexing coding officer away
from the kitchen and bathroom or
water storage)
Return the medical records to the
inpatient room by including a
complete control card / incomplete
checklist if there is an inability to
complete documents
Supporting facilities When it is complete reorder
medical records according to the
case category
Assembling table
Assembly officer seat
Control card 2 copies
Tools (Stationery and Computers)
Resource informs
Reviewing completeness based on
qualitative and quantitative analysis
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
26
4. DISCUSSION
The Bendan General Hospital is a technical unit
of the Pekalongan city government that includes
services to all populations of Pekalongan and is
a referral hospital for 14 community health
centers. The Bendan General Hospital has been
a Class C hospital. With the development of the
hospital's capacity, it should be supported with
facilities, facilities, infrastructure, and medical
personnel resources to improve the quality of
services for patients. Table 10. addresses the
number of patients from 2015 to 2019, which
shows a significant increase.
Based on an analysis of modeling trends in the
number of patients from 2015 to 2019 there was
a significant increase in the number of live
patients based on the linear equation y = 640.5 x
9355.7 compared to the trend of the number of
patients who died was y = 33.7 x + 447.5.
Although the trend in the number of patients who
died also shows a positive trend, the number of
patients who live is much better. The tendency of
the total number of patients can be used to
predict the number of medical record documents
that will be used to calculate plans to increase
the number of medical records in an assembly
unit with the Staff Staff Requirement Indicator
Method (WISN). [11]
The main functions and duties of the assembling
unit officer at Bendan General Hospital are to
assemble medical record forms, examine the
completeness of form contents, control the
incompleteness of form contents and conduct a
qualitative-quantitative analysis of medical
records. Based on the theory of the main task of
the recording staff, the tasks and functions are
good enough, but there is still a buildup of
medical record documents that have not been
adjusted to the rules in the assembling section,
there are still returns of incomplete medical
record documents because they are not
equipped with a control card medical. Forms and
books used in assembling units for medical
record services are logbooks for the use of
medical record numbers and forms, incomplete
logbooks, register assembling books, expedition
books, and control cards[12].
The system associated with the assembling
process is the process of assembling or
compiling medical record files. Based on
observations in the assembling section, the
assembling process is in accordance with the
standard operating procedures for inpatient
hospital medical record management. Form
material used is in accordance with standard
operating procedures, namely using paper HVS
(wood fiber-free writing paper), paperweight 70
grams, the shape used is appropriate,
rectangular, the size of paper used is
appropriate, namely with a length of 30 cm and
width of 26 cm with a white base and black ink.
Medical resume form with the main components,
namely heading, introduction, body, and close. In
the Heading section is appropriate, namely the
name of the agency, the name of the form, and
the identity of the form. The introduction section
is appropriate, the title reflects the purpose of the
form, while in the body, the grouping of data
items including spaces, margins, fonts, and font
sizes are appropriate, as well as close, which is
the name and signature of the doctor as the
medical response. The medical record form
contains items on patient identity and clinical
data [13]
The allocation of medical record document
numbers is based on the number of patients
served so that health services differ from one
another. The medical record number consists of
6 digits, from 00.00.00 to 99.99.99 with the use
of this medical record number recorded in the
medical record number usage book. The unit of
control or allocation of numbers in medical record
documents is an information system of hospital
assembly and management so that the control of
medical record numbers automatically from a
computer system database Allocation of patient
medical records is done automatically in the
hospital information system billing system in the
registration section so that if there are new
patients the medical record number will
automatically be registered in the billing system
as the patient's medical record number [14]
Quantitative analysis is an analysis aimed at the
number of sheets of medical records in
accordance with the number of days of patient
care including the completeness of medical
sheets, paramedics and support according to
established procedures Quantitative analysis
components include identification, recording,
reporting, and authentication then the Officer will
analyze and perform validation of every medical
record received. [15]. Qualitative Analysis is an
analysis that aims to determine the consistency
of the contents of medical record documents
which include recording identity, recording the
main diagnosis, agreement based on
information, and things that cause harm to the
hospital [16,17]. The quantitative and qualitative
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
27
analysis has been carried out at the Bendan
General Hospital with a hospital information
system controlled by coding officers but based
on observations there are still found some
incomplete documents containing medical record
documents that are not recorded names and
signatures of names of doctors/nurses in charge
responsible service and there are still many
scribbles that are not initialed. In the assembling
section it still uses manual methods and systems
but for the complete inputting of documents using
a separate computer in another unit that is a data
security storage unit. The security of the system
using the user officer only has certain access
rights for the officer's activities so that other
people cannot access it, then the security of the
data will be guaranteed. The role of assembling
in medical record services is as a former of
medical record forms, researchers fill in medical
record data, control of medical record documents
is incomplete, controlling the use of medical
record numbers and controlling medical record
forms [18]. The reporting system for using
medical record forms to the Head of Medical
Records Installation. Based on observations in
the assembling unit at Bendan general hospital
there were no reports of non-conformance with
the Standard Operating Procedures
In the assembling unit there is still a buildup of
medical record documents that have not been
assembled, resulting in documents piling up and
making work inefficient. This is due to the
limitations of assembling officers, there is only 1
medical record officer.
The planning of hospital medical record
personnel must be based on the function and
workload of health services to be faced in the
future. This is intended so that the hospital's
function can run well. The planning of medical
record personnel needs in the assembling unit is
calculated based on the method of calculating
the need for health workers based on the real
workload of each work unit [19]
.
According to the
Decree of the Minister of Administrative Reform
No. Kep / 75M. PAN / 7/2004 concerning
Guidelines for Calculation of Employee Needs
Based on Workloads in the Context of Forming
Civil Servants Formation, the employee needs
analysis is a process that is carried out logically,
regularly, and continue to find out the number
and quality of employees needed [20]
The results of the calculation of the workload in
the assembling unit ideally should have 3
medical record personnel in the assembling unit,
so that the optimization of the service process at
the hospital will be better. Calculation of
workload on the assembly unit is as follows:
a) Number of working days available per year
{ a– (b+c+d)}
{300-[12+19+6)}
300 – 37
263
b) Available working time
Available working days x (business
hours - AT)
263 X (8-2)
263 X 6
1,578 hours / year
c) Volume of daily activities
Volume of activity = predicted visit in
2020/Number of effective working days
11,913 / 263
45 volumes/ activity
d) Factor in the category of assembling
officers (FKK)
1: (1- (Total SKK / 100))
1: (1- (4,5 / 100))
1: (1 - 0.045)
1: 0.95
1,052 workers
e) Individual Allowance Factors (FKI)
1: (1-(17.93/100))
1 : (1 – 0,17)
1: 0,82
1,219 worker
f) Total Staffing Needs/Activity x Category
Allowance Factor) + Individual Allowance
Factors)
(0,8x 1.052) + 1.219
2.00
So the workload is> 1 then the workload is
overloaded. The need for additional medical
records in the assembling unit in Bendan
General Hospital is 2 medical personnel, so the
total requirement is 3 medical records.
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
28
Graph 1. The total status of patients at Bendan General Hospital
Graph 2. Trend status pasien at Bendan General Hospital 2015-2019
y = 134.68x + 6806.5
0
2000
4000
6000
8000
10000
12000
14000
16000
treated
died
alive
treated
died
alive
treated
died
alive
treated
died
alive
treated
died
alive
2015 2016 2017 2018 2019
The total status of patient at Bendan hospital 2015-2019
10,821
10,199 10,797 10,892
13,677
519 519 492 532 681
Trend alive y = 640.5x + 9355.7
Trend died y = 33.7x + 447.5
-
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000
0 1 2 3 4 5 6
Trend patient status of Bendan General Hospital
trend of alive trend of died Linear (trend of alive) Linear (trend of died)
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
29
Table 10. The total status of patients at Bendan General Hospital
2015 2016 2017 2018 2019
Total Died. Life. Total. Died. Life. Total. Died. Life. Total. Died. Life. Total. Died. Life.
11340 519 10821 10718 519 10199 10797 11289 492 10892 11424 532 13677 14358 681
Aryana et al.; AJARR, 12(4): 18-31, 2020; Article no.AJARR.58812
30
5. CONCLUSION
The increase in the number of patients in Bendan
public hospitals causes the number of medical
peer documents to increase, so planning for the
addition of medical records to the assembling
unit is needed. The results of the analysis using
the Workload Indicator Staffing Needs (WISN)
method in Bandan District General Hospital
required the addition of 3 medical records
personnel in the assembling unit so that the
optimization and effectiveness of operational
services in the hospital runs perfectly
DISCLAIMER
All authors declare that there is no conflict of
interest in the product manufacturer because we
do not intend to use this product as a way for any
litigation, but for the advancement of knowledge.
This research was not funded by a producing
company but was funded by the personal effort
of the author.
CONSENT AND ETHICAL APPROVAL
As per international standard or university
standard guideline participant consent and
ethical approval has been collected and
preserved by the authors.
ACKNOWLEDGEMENTS
The authors are very grateful to the management
and staff of Bendan General Hospital and Dian
Nuswantoro University so that this research can
be carried out well.
DATA AVAILABILITY
All relevant data has been registered on paper
along with supporting information files. This study
will help researchers to uncover critical areas
regarding the prediction of returning medical
record documents to the assembling unit so that
activity and baseline action plans can be
predicted in improving the quality of patient care.
COMPETING INTERESTS
All authors have stated that this activity is
research without competing interests.
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© 2020 Aryana et al.; This is an Open Access article distributed under the terms of the Creative Commons Attribution License
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provided the original work is properly cited.
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