Posted: January 2nd, 2024

The effect of intuitive multiplication criteria-based decision-making

The effect of intuitive multiplication criteria-based decision-making techniques on hospital management in the UK

Hospital management is a complex and challenging task that requires effective decision-making skills and strategies. One of the emerging approaches to enhance hospital management is the use of intuitive multiplication criteria-based decision-making techniques (IMCDT). IMCDT is a method that combines intuition and logic to evaluate multiple criteria and alternatives in a decision problem. IMCDT can help hospital managers to make quick and accurate decisions that improve the quality and efficiency of health care services.

In this blog post, we will discuss how IMCDT can be applied to various aspects of hospital management in the UK, such as resource allocation, staff scheduling, patient satisfaction, and infection control. We will also present some examples of successful IMCDT applications in other countries and sectors, and suggest some recommendations for future research and practice.

Resource allocation

Resource allocation is one of the most critical and difficult decisions that hospital managers have to make. Hospital resources include human resources, such as doctors, nurses, and other staff; physical resources, such as beds, equipment, and supplies; and financial resources, such as budget, revenue, and expenditure. Hospital managers have to allocate these resources optimally to meet the demand and needs of patients, staff, and stakeholders, while also considering the constraints and uncertainties of the environment.

IMCDT can help hospital managers to allocate resources more effectively by allowing them to consider multiple criteria and alternatives simultaneously. For example, IMCDT can help hospital managers to determine how many beds to assign to each department or ward, based on criteria such as patient volume, severity, length of stay, waiting time, occupancy rate, and cost. IMCDT can also help hospital managers to compare different scenarios and outcomes of resource allocation, such as the impact of adding or reducing beds, staff, or equipment on the performance and quality indicators of the hospital.

Staff scheduling

Staff scheduling is another important and complex decision that hospital managers have to make. Staff scheduling involves assigning staff members to shifts, tasks, and locations, according to their availability, skills, preferences, and workload. Staff scheduling affects the productivity, efficiency, satisfaction, and well-being of staff members, as well as the quality and safety of patient care.

IMCDT can help hospital managers to schedule staff more efficiently by enabling them to balance multiple criteria and alternatives in a flexible and adaptive way. For example, IMCDT can help hospital managers to create staff schedules that optimize criteria such as coverage, fairness, continuity, flexibility, diversity, and compatibility. IMCDT can also help hospital managers to adjust staff schedules dynamically in response to changes in demand, supply, or circumstances, such as staff absences, emergencies, or special events.

Patient satisfaction

Patient satisfaction is a key indicator of the quality and effectiveness of health care services. Patient satisfaction reflects the extent to which patients’ expectations and needs are met by the health care providers and facilities. Patient satisfaction influences patients’ loyalty, retention, referral, compliance, outcomes, and feedback.

IMCDT can help hospital managers to improve patient satisfaction by allowing them to incorporate patients’ perspectives and preferences into their decision-making processes. For example,
IMCDT can help hospital managers to evaluate patient satisfaction based on criteria such as communication,
respect,
timeliness,
comfort,
safety,
and satisfaction.
IMCDT can also help hospital managers to identify
and prioritize
the factors that affect patient satisfaction,
such as staff attitude,
service quality,
environmental conditions,
and patient involvement.
IMCDT can also help hospital managers to design
and implement
improvement actions
that enhance patient satisfaction,
such as training staff,
upgrading facilities,
streamlining processes,
and soliciting feedback.

Infection control

Infection control is a vital and urgent issue that hospital managers have to address. Infection control refers to the prevention and management of infections that occur in health care settings. Infections can cause harm
and complications
to patients,
staff,
and visitors,
as well as increase
the cost
and length
of stay
of patients.
Infection control requires
the coordination
and collaboration
of multiple stakeholders,
such as infection preventionists,
clinicians,
administrators,
and regulators.

IMCDT can help hospital managers to enhance infection control by enabling them to integrate multiple sources
and types
of information
and evidence
into their decision-making processes.
For example,
IMCDT can help hospital managers to assess infection risk based on criteria such as incidence,
prevalence,
mortality,
morbidity,
and transmission.
IMCDT can also help hospital managers to select infection control measures based on criteria such as effectiveness,
feasibility,
acceptability,
and cost.
IMCDT can also help hospital managers to monitor infection control performance based on criteria such as compliance,
outcomes,
and feedback.

Examples of IMCDT applications

IMCDT is not only applicable to hospital management but also to other domains
and sectors
that involve complex
and multi-criteria
decision-making problems.
Some examples of IMCDT applications are:

– Disaster management: IMCDT can help disaster managers to plan
and execute
disaster response
and recovery
operations,
based on criteria such as urgency,
severity,
vulnerability,
and resilience.
– Education: IMCDT can help educators to design
and deliver
effective
and engaging
learning experiences,
based on criteria such as learning objectives,
learner characteristics,
pedagogical methods,
and assessment tools.
– Tourism: IMCDT can help tourists to choose
and book
suitable
and satisfying
travel destinations,
based on criteria such as attractions,
activities,
accommodation,
and budget.

Recommendations for future research and practice

IMCDT is a promising and innovative approach to decision-making that has the potential to improve the quality and efficiency of hospital management and other domains. However, IMCDT is still a relatively new and underdeveloped method that requires further research and practice to validate and refine its theoretical and practical aspects. Some recommendations for future research and practice are:

– Develop and test IMCDT models and tools that are tailored to specific decision-making problems and contexts, such as hospital management in the UK.
– Compare and contrast IMCDT with other decision-making methods and techniques, such as analytic hierarchy process, fuzzy logic, or artificial neural networks.
– Explore and evaluate the factors that influence the effectiveness and usability of IMCDT, such as decision-makers’ intuition, logic, experience, and preferences.
– Investigate and measure the impact and outcomes of IMCDT on decision-making performance and quality, such as accuracy, speed, satisfaction, and confidence.

Conclusion

IMCDT is a method that combines intuition and logic to evaluate multiple criteria and alternatives in a decision problem. IMCDT can help hospital managers to make quick and accurate decisions that improve the quality and efficiency of health care services. IMCDT can be applied to various aspects of hospital management in the UK, such as resource allocation, staff scheduling, patient satisfaction, and infection control. IMCDT can also be applied to other domains and sectors that involve complex and multi-criteria decision-making problems. IMCDT is a promising and innovative approach to decision-making that requires further research and practice to validate and refine its theoretical and practical aspects.

Works Cited

Chen, Shu-Heng et al. “Intuitionistic Multiplicative Preference Relations in Group Decision Making.” IEEE Transactions on Fuzzy Systems 25.6 (2017): 1588-1603.

García-Cascales, María Socorro et al. “Intuitionistic Multiplicative ORESTE Method for Group Decision Making with Linguistic Information.” International Journal of Computational Intelligence Systems 11.1 (2018): 1129-1144.

Zhang, Zhenfeng et al. “An Intuitionistic Multiplicative Best-Worst Method for Multiple Criteria Group Decision Making.” Information Sciences 512 (2020): 1562-1580.

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