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Artificial Intelligence and Automation in Hospital Administrative Systems: A Scoping Review

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Background: Hospital administrative processes including billing, scheduling, and medical records management—are critical to health system performance but are often characterized by inefficiencies, high operational costs, and workforce burden. Artificial intelligence (AI) and automation technologies, including robotic process automation (RPA) and natural language processing (NLP), have emerged as potential solutions to streamline these processes and enhance productivity.

Objective: This scoping review aimed to synthesize existing evidence on the use of AI and automation in hospital administrative functions, focusing on efficiency gains, cost savings, implementation barriers, and ethical and regulatory considerations.

Methods: A scoping search of peer-reviewed literature was conducted across major electronic databases including PubMed, Scopus, Web of Science, and Google Scholar. Studies published between 2015 and 2025 that examined AI-based or automation-driven interventions in hospital administrative settings were included. Eligible studies addressed applications in billing, scheduling, records management, hospital information systems, or workflow optimization. Data was extracted and synthesized narratively due to heterogeneity in study designs and outcome measures.

Results: The review identified substantial evidence that AI and automation improve administrative efficiency through reduction of processing time, minimization of manual errors, and optimization of resource allocation. RPA demonstrated significant benefits in billing and claims processing, while NLP enhanced documentation accuracy and records retrieval. Several studies reported measurable cost savings and productivity improvements following implementation. However, common barriers included integration challenges with legacy systems, limited interoperability, data quality concerns, staff resistance, insufficient training, high upfront costs, and uncertain short-term return on investment. Regulatory and governance challenges, particularly data protection compliance and algorithm transparency were also frequently highlighted.

Conclusion: AI and automation technologies show considerable promise in transforming hospital administrative processes by improving efficiency and reducing operational costs. Nevertheless, successful implementation requires strong governance frameworks, workforce capacity building, financial planning, and ethical oversight. Future research should focus on longitudinal cost-effectiveness evaluations and context-specific implementation strategies, particularly in resource-limited health systems.

Assessing Performance and Equity of Grade Separators in Heterogeneous Traffic: An Ex-Post Evaluation

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This paper presents an ex-post-performance evaluation of four grade separators (flyovers) in Nagpur, India, focusing on equity and efficiency in heterogeneous traffic. Using the moving observer method and six performance indices, the study compares access- controlled (above-grade) and residual (at-grade) link performance during peak hours.

The analysis reveals that while flyovers benefit faster motorized traffic, they significantly increase delays and unreliability for at-grade users (including NMTs) by reducing effective carriageway width. The study concludes that flyovers are non-equitable interventions that marginalize slower modes. These results highlight the need for decision-makers in developing economies to rethink urban interventions to ensure benefits are distributed across all transport modes.

Key Performance Indicators (KPIs) in Additive Manufacturing: Evaluation of Efficiency, Quality and Sustainability in 3D Printing Processes

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 As a researcher specializing in additive manufacturing (AM), I have authored this study titled “Key Performance Indicators (KPIs) in Additive Manufacturing: Evaluation of Efficiency, Quality, and Sustainability in 3D Printing Processes.” The work explores AM’s explosive growth, with the global market at 21.9 billion in 2025, projected to hit USD 647.7 billion by 2035 at a 22-23% CAGR, driven by innovations in materials, AI integration, and applications in aerospace, automotive, and biomedicine. AM transforms traditional manufacturing through on-demand production, waste reduction, and supply chain optimization, supporting circular economy principles via localized fabrication and emission cuts.

Utilizing the SALSA methodology, conducted a systematic review of 158 articles (narrowed to 10 key studies from 2015-2025), identifying AM-specific KPIs: efficiency (adapted OEE, varying with build variety); quality (tensile strength up to 55.2 MPa, dimensional deviation 0.048 mm); sustainability (energy consumption, recyclability challenges in PLA/ABS); costs; and delivery times.

Limitations include adapting traditional metrics to AM’s anisotropy and variability, plus unstandardized sustainability data. A pilot test on 10 parts across five hypothetical Hidalgo companies yielded averages like 74.4% OEE and 83.9% material efficiency, underscoring AI’s role in optimization. Ultimately, robust KPIs foster informed AM adoption, aligning with a SDGs 9 and 12 for resilient, sustainable industries.

Financial Dynamics of Listed Banks in Pakistan: Exploring the Interplay between Cost-Income Ratio, Capital Adequacy, and Performance Metrics

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This study delves into the relationship between the Cost-Income Ratio, Capital Adequacy, and the performance of listed banks in Pakistan. Drawing data from 2014 to 2022 annual reports, the Generalized Method of Moments (GMM) in STATA version 18 is employed for analysis. The findings disclose a negative connection between capital adequacy and performance, particularly return on assets (ROA) and return on equity (ROE). While the correlation lacks statistical significance for ROA, it becomes significant in the context of ROE. Additionally, a statistically significant negative correlation is identified between the cost-income ratio and both ROA and ROE. Total equity debt displays a negative relationship, achieving significance concerning ROA. Bank size demonstrates a significant negative correlation with both ROA and ROE. GDP exhibits a positive link, significant only with ROE. These findings contribute valuable insights into the dynamics of financial indicators influencing bank performance in the Pakistani context.

The Effect of Capital Adequacy, Non-Performing Financing, Efficiency, And Liquidity on Financial Performance in Sharia Commercial Banks in Indonesia

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This study aims to examine the effect of capital adequacy, non-performing financing, efficiency, and liquidity on the level of financial performance at Islamic Commercial Banks in Indonesia. This study is a population study with the number of companies studied as many as 13 Islamic Commercial Banks in Indonesia during the 2014-2019 observation period so that 75 observations are obtained. This study uses multiple linear analyses of panel data to analyze the data to be studied. This study empirically finds that CAR, NPF, BOPO, and FDR have a negative influence on the financial performance of Islamic banks.

Measuring the Level of Regional Government Financial Efficiency in Aceh

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This research aims to analyze the process and strategy of utilizing Regional Government expenditure inputs in producing public service outputs, and their influence on community welfare. Practically, it is hoped that the results of this research can provide input for improving management and strategies for optimizing the use of decentralization funds to increase efficiency in improving the quality of public services. Considering the many weaknesses and problems faced in managing APBD in the context of decentralization. This research uses a census method where the entire research population is observed . We collected secondary data in the form of audited Regional Government Financial Reports (LKPD) from 23 Regencies/Cities in Aceh from 2017 to 2021 and reports published by the Central Statistics Agency. The measurement uses the Data Envelopment Analysis (DEA) method which will show local governments with input or output inefficiencies. Results studies This find that only there are 4 of the 23 regional governments in Aceh that are relatively large efficient during 2017-2021 period. City Government Langsa is relatively the most efficient regional government compared to with Local Government others in Aceh. This research provides important information in the form of values that must be achieved so that regional governments can be efficient. If regional governments are able to increase their output, they will achieve efficiency, thus opening up the potential for efficient regional governments to be greater than inefficient regional governments.

Improve Employee Key Performance Indicator through Establishment of High Performing Team Model (Case Study: TNP)

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TNP, a company in cargo transportation and logistics, is grappling with challenges such as high employee turnover and struggles to meet performance goals, both on an individual and team level. The company’s turnover rate exceeds its target, and the overall Key Performance Indicator (KPI) achievement by High-Level Management remains below the company’s standard of 80%. This study aims to improve the situation by analysing the current KPI framework. High turnover disrupts operations and suggests employee satisfaction problems, while inconsistent KPI achievement indicates operational inefficiencies. The study utilizes various methods, including interviews with High-Level Management, questionnaires for employees, and analysis of historical performance data. The analysis includes external and internal evaluations, leading to a SWOT analysis, which contributes to the research findings. These findings highlight several areas for enhancement. Proposed solutions involve implementing a High-Performing Team (HPT) model, drawing inspiration from Wageman and Hackman models. This model thrives on collaboration, utilizing collective skills to surpass individual contributions. It emphasizes open communication, knowledge sharing, and complementary skills to address turnover and improve KPI achievement. The study’s significance lies in its potential to guide TNP’s transformation. Through refining the KPI system and addressing underlying concerns, the study aims to provide actionable recommendations. Ultimately, the study suggests that adopting a high-performing team model could bridge existing gaps. By fostering a collaborative culture and implementing team coaching, the company could potentially revolutionize its cargo transportation and logistics services while also improving employee retention.