PREDICTING CAPACITY AND DISTRIBUTION OF HEALTHCARE FACILITIES
IN WEST JAVA
Arvin Akbar Gumilang
Institut Teknologi Bandung, Indonesia
Email: arvin_akbar@sbm-itb.ac.id
Abstract
Inequitable
distribution of healthcare infrastructure is a barrier to universal access.
This research analyzes gaps in primary care
facilities across 627 districts in Indonesia's West Java Province. A
data-driven approach identifies shortages and proposes an evidence-based
strategic construction plan to improve equity. Demand was forecast using
national standards of 1 clinics per 30,000 population.
While some areas meet or exceed standards, severe shortages affect many
districts. Gap analysis quantified deficiencies by subtracting existing clinics
from projected demand for each district using simple linear extrapolation for
each kota and kabupaten.
Quantifying gaps at district level highlighted disparities not evident in
provincial summaries. The gap analysis methodology substantiated widespread
inequities by comparing granular demand modeling to
current infrastructure. Findings demonstrate analytical techniques
incorporating sub-regional data can identify hidden disparities and inform
targeted policy. The technique provides a
data-driven approach to inform healthcare planning and resource allocation,
with applications for regional systems globally. In 2020, Average demand was 2 puskesmas, ranging up to 15. In total 363 districts fell
below the minimum national standard for clinics per capita. Mapping visualized
clusters of highly deprived regions. In 2020, with West Java's 47 million
residents, total modeled demand is 1771 puskesmas and up to 1959 in 2032. Current healthcare
quantity was collected through web scraping district websites, finding only
1016 existing puskesmas. This reveals a significant
shortage, with over 55% of districts below the standard. Distribution inequity
was evident, with puskesmas density spanning 0-10
across District. These findings clearly demonstrate a need for expanded
investment in primary care infrastructure. To achieve more equitable access, a
multi-year strategic construction plan was proposed targeting new clinic
development in underserved districts. The plan stratified districts into
priority tiers based on the severity of shortages. Construction will be phased
over 3 stages, focusing first on districts with the highest deprivation to
rapidly improve equity.
Keywords: healthcare capacity, gap analysis, demand
forecasting, web scraping
Introduction
Primary health care is defined as
"essential healthcare based on practical, scientific, socially acceptable,
and universally accessible methods and techniques for individuals, families,
and communities". The entitlement to healthcare for all individuals
entails that each person should have the means to access the required healthcare
services, at the time and location of their need, without any financial
impediments. The primary healthcare system is a crucial element of the right to
health. It plays a pivotal role in addressing the major health concerns of the
community by offering promotive, preventative, curative, and rehabilitative
services (WHO, 2017). The provision of primary healthcare access to its
citizens is a responsibility of the government, as it is a crucial human right
that has been acknowledged by international human rights standards. It is the
duty of the governments to ensure that their citizens can avail primary
healthcare services, which is the most comprehensive, equitable and
cost-effective approach in improving people's physical and mental health (WHO,
2021). Therefore, it is the obligation of every nation to offer primary
healthcare to its citizens, guaranteeing their right to health and promoting
the well-being of the population.
Indonesia's healthcare system has
undergone notable transformations in recent times. In 2014, the country
initiated a mandatory health insurance scheme named Jaminan
Kesehatan Nasional (JKN) with the aim of providing fundamental medical care and
facilities to all its citizens which was conducted by the Badan Penyelenggara Jaminan Sosial (BPJS).
The health insurance program within the Jaminan
Kesehatan Nasional (JKN) is implemented through a mandatory Social Health
Insurance mechanism. It is developed with the concept of ensuring the health of
the entire population universally (Kemenkes, 2014).
Furthermore, to ensure the sucess of Jaminan Kesehatan
Nasional (JKN), there are several factors that need to be improved, one of
which is the availability of primary healthcare facilities and competent
doctors serving in primary care services. They need to be evenly distributed
throughout the country (Laksono, Wulandari, & Soedirham, 2019).
There are several factors that
contribute to the uneven distribution of healthcare workers in Indonesia. To
begin with, there exists an unequal geographic distribution, whereby healthcare
workers tend to concentrate in urban and more developed regions, while rural
and remote areas experience scarcity (Laksono et al., 2019).
Furthermore, population density plays a pivotal role, with regions having
higher population densities typically having more healthcare workers (Suryanto, Plummer, & Boyle, 2017). The
availability of hospitals and primary healthcare centers
also significantly influences the distribution, as regions with more facilities
tend to attract healthcare workers (Suryanto et al., 2017). Income opportunities
also impact the distribution, with specialist doctors often preferring private
practice (Hipgrave & Hort, 2014). Finally,
the lack of infrastructure, including limited healthcare facilities and inadequate
healthcare infrastructure, poses significant barriers to accessing healthcare
services in certain regions of Indonesia (Geleto, Chojenta, Musa, & Loxton, 2018).
Collectively, these factors contribute to the inequitable distribution of
healthcare workers in the country.
This study serves as an initial stage
of study that is supposed to be improved on for further implementation. This
study will only evaluate the healthcare facilities demand that are in the area
under West Java Governance (Galloway et al., 2002). West Java
consists of 627 districts. There are a few limitations of this research. One of
them is the data limitation. The healthcare facilities data collected in this
study only acquires information of healthcare that is limited to the
availability of data in google maps. It does not include the healthcare
workforce quantity of each facility due to data unavailability. The number will
be assumed and its detail can be seen in Table II.2. While on the demand side,
the demand estimation relies heavily on the use of the standard national ratio
of healthcare facilities which means that any factors that influence demand is
represented only by the ratio to the number of population
of each District. Additionally, the population projection used historical data
of growth rate in kota/kabupaten
from 2011 to 2022 to project future demand. Another limitation is that the
healthcare facilities included in this study is strictly public owned due to
the unavailability of the quantity and standard ratio data (Seyoum, Alemayehu, Christensson, & Lindgren,
2021).
Healthcare demand refers to the
quantity of healthcare services that individuals or populations desire or require
at a given time (Ghorbani-Dehbalaei, Loripoor, & Nasirzadeh, 2021). It is
influenced by several factors, including population demographics, prevalence of
and diseases health conditions, healthcare needs, and individual preferences.
The demand for healthcare services can be measured using various indicators,
such as the number of patient requests for appointments, the number of visits
made or appointments completed, and the number of healthcare professionals
available to provide services (Goodman et al., 2016). Understanding
healthcare demand is important for policymakers and healthcare providers to
ensure that healthcare services are available and accessible to those who need
them (Mwabu, 2008).
Method
Research
Design
Figure III.1
Research Design
The figure depicts the structure of significant
concept by the author in this study. According to the Figure 1 Research design,
the author begins by identifying business issues and obstacles that have
occurred or may rise in addressing uneven healthcare distribution such as
misallocating healthcare development to a district that does not require it,
unequal healthcare demand distribution and the inadequacy of existing
infrastructure. In analyzing this situation, the
author uses variables of healthcare demand and healthcare supply to assess
which District need more healthcare development. The author used a combination
google maps web scraping, public population data, assumption of supply ratio,
demand proportional rate and recommended healthcare-to-population ratio to generate
the estimation which will be evaluated using gap analysis. Then the author used
scenario planning understand to produce and conclude a recommendation.
Data Collection
Figure III.2 Data collection framework
The data in this research is secondary data which
can be obtained from verified website. The data that can be obtained from
several sources on the table 2 source of data.
Results and Discussion
In this chapter, the
author will present estimations of demand and supply for each type of healthcare
facility in West Java. This research utilizes data collection through web
scraping, followed by data processing using Excel and Python, and subsequently
analyzed descriptively. From the descriptive analysis, a gap analysis is
conducted to determine the districts with the largest disparities between
demand and supply.
Pusat kesehatan
masyarakat in 2020
Table 1 Descriptive Statistics for puskesmas
|
Variable |
Supply data |
Demand data |
1 |
Puskesmas quantity |
1016 |
1552 |
2 |
Average puskesmas per District |
1.62 |
2.47 |
3 |
Median |
1 |
2 |
4 |
Mode |
1 |
2 |
5 |
Standard deviation |
1.53 |
1,73 |
6 |
Coefficient of variation |
0,94 |
0,7 |
7 |
Skewness |
1,479 |
2,273 |
8 |
75th percentile |
2 |
3 |
9 |
25th percentile |
0,5 |
1 |
10 |
Range |
10 |
15 |
In table
IV.1, it can be seen the summary descriptive statistics of supply and demand
for pusat kesehatan masyarakat in West Java. Using gap analysis to find the
districts that have shortage, 10 District that has the widest gap between
supply and demand has been founded as shown in Table IV.2. Since puskesmas assigning method is strictly using nearest
District distance as the sole factor that determines whether a puskesmas is in a District or not, supply_puskesmas
does not represent the registered puskesmas in a
District, instead it represent the nearest puskesmas in a District. That does not mean that District
that has zero value has zero puskesmas, it rather
means that puskesmas was registered in that District
is actually closer to another District.
To
further understand the shortage distribution of puskesmas
in each District, the author used graphical representation using Tableau, as
can be seen in figure IV.1. This shows that there is a number of District that
does not meet required national standard. The exact number is 363 District,
while the number that exactly met the demand and exceeded is 136 District and
128 respectively. The puskesmas supply data in
appendix 2.
From table IV.2, it is shown that the
total shortage of districts is 536 puskesmas.
However, the calculation also includes District that has surplus which means
that the number is inflated and does not represent the actual shortage. The
shortage estimation must exclude the puskesmas quantity
of District that at least has met the standard demand. Thus, the puskesmas quantity of District that has shortage or deficit
is the one that needs to be calculated which is in 363 District. The number of puskesmas shortage in these District is 755 puskesmas in 2020.
Pusat kesehatan masyarakat in 2021-2032
As the baseline of the analysis,
projected healthcare demand is compared to current supply capacity in order to
quantify potential gaps in the system. Current supply represents the existing
infrastructure and capacity based on recent government planning, thus providing
a realistic baseline rooted in real-world investments and constraints (Bird,
Daveau, O’Dwyer, Acha, & Shah, 2022). Comparing this to projected future
demand, which estimates increased needs based on population growth and other
trends, reveals the magnitude of unmet needs. This approach frames the supply
expansion problem in concrete terms by quantifying the magnitude of new
facilities required to meet projected service needs. (Ahmad,
Chen, Guo, & Wang, 2018) By anchoring the analysis to current
supply and modelled future demand, the methodology provides data-driven
insights into capacity gaps over the relevant planning horizon. The summary of
the current supply data and its visualisation is
shown on Table IV.1 and on Appendix B respectively. To predict the condition of
puskesmas in the future, demand projection and supply
scenarios have been utilized to calculate the gap that needs to be filled.
Demand projection of west java province in 2032 is summed up in Table IV.2. The
result shows that the average and median of puskesmas
have increased while the mode stays the same.
|
Variable |
Supply data |
Demand data |
1 |
Puskesmas quantity |
1016 |
1782 |
2 |
Average puskesmas per District |
1,62 |
2,84 |
|
Variable |
Supply data |
Demand data |
3 |
Median |
1 |
2 |
4 |
Mode |
1 |
2 |
5 |
Standard deviation |
1,53 |
1,944 |
6 |
Coefficient of
variation |
0,94 |
0,684 |
7 |
Skewness |
1,479 |
2,25 |
8 |
75th percentile |
2 |
3 |
9 |
25th percentile |
0,5 |
2 |
10 |
Range |
10 |
17 |
Comparing Table IV.1 to
Table IV.2, it shows that there is an increase in puskesmas
demand from 2020 to 2032 of 230 puskesmas. However,
similarly to the preceding data, the dataset pertaining to the quantity of puskesmas comprises the sum of surpluses and deficits
across District. In 2032, the number of District that is below standard is 412
District which is an increase of 49 District in 2020 as can be seen in Figure
IV.2. From these District that are below standard, the actual shortage for puskesmas is 943 in total. The following graph is shown in
Figure IV.3.
Figure IV.2
District Quantity Graph
From
Figure IV.2, it shows that if healthcare facilities quantity stays the to 2032
level, District below standard quantity has a downward trend while District
that is up-to-standard has an upward trend. The shortage level also shows that
it keeps increasing in trend. The 10 District that has the biggest shortage
have also slightly changed due to varying population growth for each kota/kabupaten, it can be seen in
Table IV.4.
To be
able to utilize the gap analysis for future healthcare planning, the shortage
distribution of puskesmas in each District has been
illustrated, the author used graphical representation using Tableau, as can be
seen in figure IV.4. A histogram to visualize the District
amount in shortage amount has also been created and can be seen in Figure IV.5
Figure IV.4 Gap District di Jawa
Barat 2032
Based on the analysis, there is 57,8 % District from 627 kecaman that is in shortage of puskesmas
in 2020 while the number is also keep on increasing each year up to 65,7% in
2032. The complete data of shortage for each District can be seen in appendix
3. The data presented is ranked based on the kecataman
which has higher shortage and higher projected shortage growth. Utilising the shortage data as reference, Dinas Kesehatan
have varying solution to fill the gap. The possible solutions proposed by the
author includes a few type of governmental action that
can be done by Dinas Kesehatan which were ranked by how much puskesmas needs to be build.
1. Strategic Construction Plan
Aligned with the initial purpose of the study which is to
identify districts in need and its puskesmas shortage
quantity, the proposed solution is to construct new puskesmas
in need based on puskesmas shortage quantity of
District data. The solution mentioned relates to Strategic Construction
Planning which in this case was based on the shortage and its projected
shortage. The data allows for targeted 10-year construction plan to expand
clinics in all up to 412 District in 2032 that are below national standard.
In detail, Dinas Kesehatan Jawa Barat would use the data to
pinpoint areas that has the highest shortage and to prioritize them based on
shortage level and then to match the healthcare facilities to the demand
projection findings. From previous 5 year data of
healthcare facilities quantity, in jawa barat the
average puskesmas addition is 11 puskesmas
a year, ranging from 20 to 5 puskesmas over the 5
year span. Therefore, not only that construction plan needs to be prioritized
for certain districts, the total puskesmas
construction also needs to be increased to an average of 79 puskesmas
a year for Dinas kesehatan to solve puskesmas shortage in Jawa Barat in 2032. It needs 755 puskesmas in 2020 to 943 puskesmas
in 2032 Though capital-intensive initially, permanent local facilities provide
the most equitable path to meet long-term primary care, assuming that demand
will be growing so long with the population to match the District
in surplus of puskesmas.
2. Strategic construction plan and Healthcare
patient forwarding
Dinas Kesehatan create a system which makes them appoint the nearest puskesmas whose Puskesmas
Quantity is exceeding its district demand become the second go-to redirection
for district that is in shortage. The system would be a healthcare optimization
network that Dinas Kesehatan needs to be developed. The solution is less burdering financially since it does not build any physical
properties, only a study and regulation changes. The shortage of puskesmas needs to be constructed reduced to 536 puskesmas in 2020 and 766 puskesmas
in 2032. This means that in 2032, it is 177 less puskesmas
shortage. These 177 puskesmas span across 105
District in which is the District names and locations
are included in Appendix C.
3. Strategic construction plan and
Healthcare facility efficiency improvement
Dinas Kesehatan could prioritize and employ healthcare service system that only
applies to puskesmas on the District
in shortages. A new system that would increase of how many people can be
facilitated in 1 puskesmas. For example, regulation
that incentivize high quality workers to be placed on these District or setting
a strict queueing system that would decrease waiting time for patients or tax
break policy etc. Developing and implementing new system to all over puskesmas in Jawa Barat would take significant financial
cost. The gap analysis of the District in shortage
would be valuable to know exactly which district need to be invested. Although
needs further study, there is possibility that there is an improvement plan that
could improve how much 1 puskesmas can serve more
people so that the several kecamatan that are
currently in shortage could possibly not in shortage anymore which lessen the
requirement for Dinas Kesehatan to build puskesmas.
4. Strategic construction plan, Healthcare
patient forwarding and Health efficiency improvement
Dinas Kesehatan could try develop new patient forwarding system and improve
healthcare efficiency then see the how well these solution increase districts’
healthcare capacity in shortage. Combination of both could potentially reduce
healthcare capacity needed and decrease financial cost.
In deciding which alternative to be chosen by Dinas Kesehatan, Weighted
Criteria Framework has been used to find the best alternative solution. There are 6 criteria used in the framework.
They are as follow:
1. Strategic Impact
This criterion evaluates how well each alternative delivers on the core
strategic goal of expanding healthcare access and reducing facility shortages
in underserved districts. Alternatives that directly expand physical
infrastructure capacity score highest on strategic impact, as increasing
permanent clinics is the primary objective. Options that indirectly address
shortages by rerouting patients or improving productivity have less direct
strategic impact. This criterion is weighted as the most important at 25% due
to alignment with the central strategic aim.
2. Cost
The cost criterion assesses the upfront capital expenditures and ongoing
operating costs of each alternative solution. Lower cost options are preferable
given budget constraints faced by the health system. Alternatives that require
major infrastructure spending on new construction score lower on cost, while
options leveraging existing assets score higher. This is an important criterion
weighted at 20% given finite health system resources.
3. Implementation time
This criterion measures how quickly each alternative can be rolled out to start
providing impact after being selected. Speed is valued given the pressing need
to improve healthcare access across underserved districts. Alternatives
requiring major new construction tend to have longer implementation timeframes.
Options focused on new processes, routing protocols, or productivity can often
be rolled out faster. This criterion is moderately weighted at 15% as urgent
impact is desired but not the only consideration.
4. Sustainability
The sustainability criterion evaluates whether the impact of each alternative
will be lasting or temporary after implementation. Solutions providing permanent
infrastructure and lasting gains are more sustainable. Approaches relying more
on technology, protocols, or human behavioral change may degrade over time.
This criterion is moderately weighted at 15% as sustainability is valued but
not absolutely critical.
5. Feasilibility
Feasibility examines how easily each alternative can be implemented based on
organizational change management, process changes, stakeholder coordination,
and disruptiveness of the required initiatives. Easier, lower disruption
options have higher feasibility. Complex construction projects or major process
overhauls score lower. This is an important consideration weighted moderately
at 15% given other higher priorities as well.
6. Risk
This criterion assesses the overall risk level of each alternative, including
risks of delays, cost overruns, implementation failures, technology glitches,
lack of adoption, and other uncertainties. Higher risk options are less
preferable. Major construction initiatives tend to carry more risks, while
process and routing changes may be lower risk. This is weighted at 10% as a
consideration but not central factor.
To enable objective comparison of the alternative solutions, weighted
criteria were defined along with a clear 1-5 scoring range for each criterion.
The table IV.5 summarizes the descriptions associated with a score of 1, 2, 3,
4 or 5 points for each of the six evaluation criteria. A score of 1 represents
the least preferred option and 5 the most preferred option for each criterion.
Defining this scoring range provides a consistent framework to rate each
alternative's performance on factors like strategic alignment, cost,
implementation timeline, sustainability, ease of implementation, and inherent
risk. With clear scoring definitions, the alternatives can be reliably assessed
across these key dimensions to support a data-driven selection.
Criteria |
1 |
2 |
3 |
4 |
5 |
Strategic Impact |
Does not directly address
infrastructure gaps |
Indirectly addresses gaps through
rerouting patients |
Improves utilization of existing
assets |
Combination of infrastructure expansion
and productivity gains |
Directly builds new permanent
facilities |
Cost |
Very high capital and operating
costs |
Moderately high costs |
Moderate costs |
Low costs leveraging existing
assets |
Very low or no costs |
Implementation time |
Very long timeline, over 5 years |
Long timeline, 3-5 years |
Moderate timeline, 1-3 years |
Fast timeline, under 1 year |
Very fast, less than 6 months |
Sustainability |
Temporary or very short term impact |
Some degradation expected over time |
Moderate sustainability, lasts 5-10
years |
Highly sustainable for 10-15 years |
Permanent infrastructure sustained
indefinitely |
Feasiblity |
Very complex with high barriers |
Challenging with significant process
changes |
Moderate complexity |
Relatively straightforward
implementation |
Very simple rollout |
Risk |
Very high uncertainty and
probability of failure |
High risk of issues and delays |
Moderate risks that can be managed |
Low risks overall |
Very low risks and uncertainties |
Criteria |
Weight |
Alt.1 |
Alt.2 |
Alt.3 |
Alt.4 |
Strategic Impact |
0.25 |
5 |
3 Partial impact on gaps by
redirecting patients |
4 Improves utilization of existing
assets |
4 Hybrid approach |
Cost |
0.25 |
2 High - Large capital expenditure on
new construction |
4 Low - Minimal infrastructure needed |
3 Moderate - Systems improvement
investments needed |
3 Moderate/High - Combined
initiatives |
Implemetation time |
0.2 |
2 Long - Years required for construction
projects |
4 Fast - New processes in months |
3 Moderate - Pilots and rollouts
extend timeline |
3 Moderate, phased rollout |
Sustainability |
0.15 |
5 High - Permanent facilities
sustained long-term |
2 Low - Relies on processes/behavioral
change |
3 Moderate - Productivity gains may degrade
over time |
4 Moderate/High - Multipronged
sustainability |
Feasibility |
0.15 |
3 Moderate - Major construction
projects have complexity |
4 High - Minimal physical change
eases implementatio |
3 Moderate - Change management
adoption challenges |
3 Moderate - Multi-initiative
coordination |
Risk |
0.1 |
3 Moderate - Budget/timeline risks
with major construction |
4 Low - Limited infrastructure risk
exposure |
3 Moderate - Change management
implementation risk |
3 Moderate - Integration risk across initiatives |
Total |
|
3.6 |
3.45 |
3.35 |
3.5 |
Based on the Table IV.6, Alternative
1, which is the strategic construction plan, has the highest score of all other
alternatives. Alternative 1 scored
highest overall with a total weighted score of 3.6 out of 5.0. It outperformed
the other alternatives on several key criteria which are the strategic impact
and sustainability. While Alternative 1 is not rated as highly on strategic
implementation time, its strengths on other critical factors make it the best balanced option. Strategic construction plan solves the
shortage directly through building permanent infrastructure and provide lasting
healthcare access for communities served considering that demand could
significantly become much higher than initial predictions. Although the project
require land, contracting, oversight as well as the commonality of delays and
overruns in in this scale, it is still considered moderate in feasibility and
risk. With all that said it is still important to acknowledge and be aware of its
limitations which are the long time required to implement and significant cost
incurred due to large number of infrastructure development required.
The strategic construction plan will be implemented in sequential steps
in Jawa Barat. A gantt chart has been developed to
showcase of how the project could be implemented in Figure IV.6. The following
steps are the steps to achieve it in these 3 phase:
Figure IV.6 Gantt Chart of Project Implementation
Project
Preparation
1. Establish Governance Structure
The steering committee will provide oversight and strategic direction for the
healthcare facility development program. The committee will be comprised of
directors from key provincial government agencies including health, planning,
buildings, licensing, and finance. It will be chaired by the Director General
of Healthcare Services who will set the agenda and run the meetings. The
function of this activity is to ensure seamless execution of healthcare
infrastructure development. This committee, composed of relevant government
stakeholders with diverse expertise that will align the project's strategic
vision with local needs. It will use stakeholder theory to define distinct
roles and responsibilities to optimize decision-making efficiency, and establish
a set of operating procedures to facilitate effective communication, swift
conflict resolution, and cohesive progress tracking. Key responsibilities will
include approving district prioritization plans, reviewing annual program
budgets, providing guidance on regulatory compliance, briefing political
leadership. The committee will meet quarterly to evaluate progress on
construction timelines, budgets, risks, community engagement, and other key
aspects of the program.
2. Conduct Needs Analysis
This
activity initiates with a thorough analysis of needs, incorporating insights
derived from data. Decisions are underpinned by data-driven insights, obtained
by gathering data on the accessibility of healthcare facilities across various
districts. The aim is to identify latent gaps and pinpoint areas that require
improvement. This preliminary study findings will be utilized to conduct a
comprehensive gap analysis, enabling targeted resource allocation for each
district. Population projections will be employed to forecast demand,
empowering dinas kesehatan
to proactively cater to future healthcare needs. The resource allocation will
focus on prioritizing districts that face the most urgent infrastructure gaps,
demonstrating strategic foresight.
3. Define Project Scope
The
project scope will be defined through a collaborative process involving
stakeholders and expert input. Clear and measurable objectives will be outlined
to guide the project's progress and evaluate its success. By specifying the number
of new clinics to be constructed, the plan ensures alignment with district
requirements and addresses healthcare access gaps. The phased timeline,
developed with input from construction experts and healthcare professionals, will
facilitate efficient allocation of resources over the project's multi-year
duration. This timeline accounts for construction complexities, regulatory
approvals, and other potential challenges, ensuring a realistic and achievable
project schedule.
4. Develop Construction Plans
The
process of developing construction plans are tailored
to the unique characteristics of each respective district. The design of
facility specifications will be crafted in collaboration with healthcare
professionals, taking into account various factors including patient volume, medical
services provided, and the technological requirements of each clinic. The
selection of sites will entail a rigorous assessment of land availability,
accessibility, and proximity to target populations. In addition, construction
schedules will be intricately crafted, considering factors such as weather
conditions and resource availability. This planning will ensure the seamless
execution of construction activities, thereby guaranteeing that clinics are constructed
to meet the specific healthcare needs of each district.
5. Prepare Budgets and Financing
A thorough evaluation of capital expenditures for the
purposes of construction and procurement of equipment is indicative of
financial precision. The operational budget, which has been thoughtfully
created, encompasses staffing, maintenance, and daily operations. Dinas kesehatan’s financial positioning, which is strategic in
nature, is a combination of government appropriations and diversified external
funding sources, thus promoting sustainability and reducing fiscal risk. The
financial strategy, which leverages the expertise of financial specialists and
involves the participation of government stakeholders, is well-positioned to
withstand the challenges of the project lifecycle.
6. Design Implementation Framework
The
achievement of strategic execution relies heavily on a carefully constructed
implementation framework. The strategic blueprint outlines a clear construction
bidding and procurement process that is aimed at enhancing cost-efficiency.
Dinas Kesehatan will commit to regulatory alignment by implementing policies
for staffing, training, and compliance. The combination of a robust IT
infrastructure and strategic reporting mechanisms facilitates data-driven decision-making.
Through the harmonious design of this framework, we ensure that project
execution seamlessly navigates complexities, adheres to standards, and drives
optimal outcomes.
7. Initiate Community Engagement
To
foster community support and gather valuable input, proactive community
engagement strategies will be implemented. Outreach efforts will involve
educational campaigns aimed at informing citizens about the project's goals,
benefits, and anticipated outcomes. This engagement will serve as a platform
for citizens to voice their opinions, concerns, and expectations, allowing the
project to incorporate valuable insights into its planning. By actively
involving the community, the project will create a sense of ownership and
ensure that the healthcare facilities cater to the unique needs of the local
population. Feedback collected during this phase will be carefully analyzed and
integrated into project plans, further enhancing the project's alignment with
community needs and aspirations.
1. Construction
The bidding process leverages the Principal-Agent
Theory to align the project's objectives with contractor interests. By
soliciting bids from a diverse pool of contractors, the project strategically
fosters competition, driving the selection of partners who offer optimal value for
the project's strategic goals. Strategic contract negotiations will emphasize
accountability, risk-sharing, and alignment with strategic quality benchmarks.
This strategic approach ensures that the project's construction partners are
strategically invested in delivering high-quality facilities within the
strategic framework of timelines and budgets. Strategic commencement of
construction activities draws insights from the concept of Just-in-Time (JIT)
inventory management. Similar to JIT's strategic principle of minimizing waste
by delivering resources exactly when needed, breaking ground strategically
initiates construction as per the project's timeline, minimizing idle resources
and maximizing construction efficiency. Strategic foundation work focuses on
quality and strategic stability, aligning with principles from Quality
Management Theory. Adhering to stringent quality standards and strategic
construction best practices will ensure that the foundation work strategically
establishes a robust basis for the clinics' future operations, longevity, and
strategic alignment with healthcare standards.
Strategic project managers will employ milestone-based monitoring,
tracking strategic progress against timelines and adjusting strategic
strategies as needed. Quality control will be strategically maintained through
strategic inspections and benchmarking against established standards.
2. Equipment procurement, staffing and
community outreach
The strategic acquisition of clinical
equipment and skilled talent is the cornerstone of operational excellence.
Dinas kesehatan will strategically procure imaging
machines, beds, and instruments in strict alignment with facility plans and
medical services spectrum. The approach extends to healthcare IT systems,
strategically chosen to streamline records management, billing, and telehealth
services. Meticulous installation and rigorous testing, integral to strategic
process, ensure optimal equipment functionality. The equipment procurement and
staffing phase of the healthcare infrastructure enhancement initiative
strategically aligns resource allocation and human capital management to
optimize service delivery, uphold quality standards, and ensure operational
excellence. By strategically integrating procurement practices, technology
implementation, human resource management, and strategic communication, this
phase sets the stage for efficient and effective healthcare service provision.
Strategic development of operational policies and procedures draws insights
from the Resource-Based View. By strategically optimizing internal processes,
the project aligns with operational efficiency goals. Policies will be
strategically tailored to align with regulations while maintaining strategic
flexibility to accommodate evolving healthcare needs. These policies will guide
strategic decision-making, ensure standardized practices, and strategically
promote seamless healthcare service delivery across facilities. The purchase of
medical supplies strategically follows the principles of Inventory Management
Theory. By strategically optimizing supply chains, the project ensures the
timely availability of medical supplies, linens, pharmaceuticals, and other
consumables. Strategic inventory management will prevent stockouts and minimize
excess inventory, aligning with resource optimization goals. Simultaneously,
strategic marketing and branding efforts will employ concepts from Strategic
Communication, strategically raising awareness of the new facilities among the
community. By strategically engaging in public outreach initiatives, the
project will establish a strategic foundation of trust and community support.
The healthcare
development initiative will establish a comprehensive monitoring and evaluation
system to assess the project's effectiveness and make data-driven decisions.
Building upon evaluation results, continuous improvement strategies will be
implemented to address any identified gaps and optimize healthcare services.
The robust monitoring and evaluation system will be implemented to assess the
project's impact and effectiveness. Utilizing key performance indicators, data
will be collected to evaluate healthcare access improvements, patient outcomes,
and operational efficiency. This data-driven approach will facilitate
evidence-based decision-making, enabling timely adjustments and improvements to
project strategies. Building upon evaluation results, continuous improvement
strategies will be devised and implemented to address identified gaps and
further enhance healthcare services. Moreover, the project will focus on
empowering local healthcare institutions, ensuring that they are equipped with
the knowledge and resources required to sustain and build upon the project's
achievements beyond the initial multi-year timeframe. By nurturing institutional
capacity, the project will leave a lasting legacy of improved healthcare
delivery in the region. The project's success will hinge on the efficient daily
operations, which will require multifaceted management efforts across various
domains. The seamless management of staff, encompassing recruitment, training,
and scheduling, will be crucial in ensuring that healthcare facilities are
adequately staffed to meet patient needs. The project will guarantee the
consistent delivery of health services across primary care, diagnostics, and
pharmacy departments, supported by comprehensive operational policies and
procedures. Moreover, meticulous management of business functions such as
billing, insurance, and health records management will be implemented to
streamline administrative processes. The project's commitment to supply chain
management will ensure the uninterrupted supply of medical supplies, linens,
pharmaceuticals, and other consumables. Prioritizing facilities maintenance
will involve regular repairs, upkeep, and janitorial services, creating a safe
and comfortable environment for patients and staff.
Conclusion
In addressing the business problem
regarding the unequal distribution of healthcare facilities, an evaluation as
well as projection of demand is needed to be able to conduct gap analysis of
the puskesmas shortage happening over many District in Jawa Barat. Specific District that is in
shortage has be founded as well as the total number
which is 363 District in 2020 and 412 in 2032. The number of shortage
for each District has also been founded which is 755 in 2020 dan 943 District
in 2032. Using the data from appendix 3, strategic construction plan would be
an ideal solution to selectively choose District that needs to be prioritized
in building puskesmas. However, alternative solutions
mentioned in Chapter 4 is also viable as long as there is a study conducted to
make on how exactly the system would take place.
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