Papers by Saifuddin Shaik Mohammed
IoT Based Humidity, Temperature, and Gas Monitoring Using Arduino UNO
ECS transactions, Apr 24, 2022
Controlling the electronic devices through the Internet of Things (IoT) interfaces is essential i... more Controlling the electronic devices through the Internet of Things (IoT) interfaces is essential in our mundane life. By observing the important parameters, controlling of the system can be performed which produces important pieces of information by keeping in mind the functioning of these e-devices. The outcomes of the environmental observances are associated with this scrutiny. The collected information can be used to create actions such as heating of devices, dominant cooling, or long-term statistics. Through the help of network or any other android application, data can be uploaded on the cloud. In the present study, Arduino UNO and Wi-Fi modules are used to process and transfer the sensed data to the Thingspeak cloud. Thus, the cloud platform (Thingspeak) contains the parameters that are received. Any variation in the surroundings is reported in the form of a database through the cloud computing method.
IJISRT, 2025
The U.S. healthcare system struggles with heavy administrative burdens, with medical coding as a ... more The U.S. healthcare system struggles with heavy administrative burdens, with medical coding as a significant source of inefficiency and cost. This paper develops an analysis of the potential for artificial intelligence (AI) and automation to drive the evolution of medical coding methodologies. This paper discusses the underlying technologies, such as machine learning (ML), natural language processing (NLP), deep learning, and generative AI, that automate the assignment of code from unstructured clinical documents. The primary objective is to examine the impact of these tools on coding accuracy, coder productivity, revenue cycle management, and, in the process, regulatory adherence. By conducting an industry-based systematic review of peer-reviewed literature, industry reports, and recorded case studies, this paper identifies significant positive outcomes, including a substantial reduction in claim denial rates, increased coding throughput, and faster revenue velocity. It also examines what is wrong with it, including the persistence of algorithmic bias, major data privacy issues, extreme job displacement and evolution, and the urgent need for more flexible regulatory frameworks. The results provide evidence that AI represents a paradigm shift for medical coding: successful integration requires a strategic approach that addresses both technical and ethical considerations. From systematic and principled consideration of human-centered approaches toward data quality and data cleansing, the paper ends with the idea that AI-aided automation will revolutionize the human-coder dynamic toward a new role, moving coding from a role of repetitive task to one more complex in the case review, audit, and documentation integrity in clinical documentation system thus enhancing efficiency and quality of the processing of data, which is the heart and soul of the healthcare system.
IoT Based Humidity, Temperature, and Gas Monitoring Using Arduino UNO
ECS Transactions, 2022
Controlling the electronic devices through the Internet of Things (IoT) interfaces is essential i... more Controlling the electronic devices through the Internet of Things (IoT) interfaces is essential in our mundane life. By observing the important parameters, controlling of the system can be performed which produces important pieces of information by keeping in mind the functioning of these e-devices. The outcomes of the environmental observances are associated with this scrutiny. The collected information can be used to create actions such as heating of devices, dominant cooling, or long-term statistics. Through the help of network or any other android application, data can be uploaded on the cloud. In the present study, Arduino UNO and Wi-Fi modules are used to process and transfer the sensed data to the Thingspeak cloud. Thus, the cloud platform (Thingspeak) contains the parameters that are received. Any variation in the surroundings is reported in the form of a database through the cloud computing method.
International Journal of Science and Research (IJSR), 2025
The healthcare revenue cycle is undergoing a digital transformation due to recent advancements in... more The healthcare revenue cycle is undergoing a digital transformation due to recent advancements in data analytics and generative AI. These technologies help automate routine financial workflows, improve claim processing, and make a data-driven approach to improve efficiency and reduce revenue leakage. Data analytics helps make predictive insights that help identify the trends and issues healthcare providers face within their organization's revenue cycle. Meanwhile, generative AI automates financial workflows, documentation, and coding and reduces administrative burdens, which leads to better efficiency. Though there are a lot of benefits, there are still a few challenges, such as data privacy, regulatory compliance, and the need for strong AI governance. This paper explores how data analytics and generative AI in revenue cycle management lead to a better digital transformation, probing their impact on financial performance, operational efficiency, and patient experience.
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Papers by Saifuddin Shaik Mohammed