Patient Data Management Research Articles

Human Resources Needs for Medical Records Officers at the Mataram City Health Center

Human resources are the most important and integral part of any organization, including the health sector. Therefore, this study aimed to examine human resources needs in the medical records field, with a particular focus on the roles and responsibilities of medical records officers. The analysis was carried out to identify critical challenges faced by medical record officers in meeting health service standards and managing patient data. Secondary data were collected from a survey of workload and human resources needs for medical records in 2023. The samples were selected using the Stratified Sampling method, by dividing the population into two groups (strata) based on the accreditation levels of health centers in Mataram city. Specifically, Tanjung Karang represented the main accredited center, while Babangan was categorized as a basic accredited center. Data analysis was performed with the Workload Indicators of Staffing Need Method (WISN) to calculate labor requirements and health crew members necessary for evaluating the distribution of health worker availability. The results showed the scarcity of medical record officers, difficulties in managing patient data, as well as the need for training and skills development in line with advances in information technology within the health sector.

Revolutionizing the Medical Record Department with a Blockchain-Enhanced Nonlinear Approach to Medical Record Management (MRM) Systems

This work presents a thorough design and construction overview in order to meet the impending issues associated with conducting a groundbreaking project. The centerpiece is a cutting-edge, specially designed for government dentistry institutions, Blockchain-Enhanced Nonlinear Approach to Medical Record Management Systems. The system's goal is to keep patient data safely while offering a user-friendly interface, reliable backup systems, and security. In the first stage, a blockchain-based medical record system will be put into place, and medical staff members will be asked for vital information to be authenticated. The ability to save and manage patient data, including crucial information like patient classifications, is subsequently provided to these verified individuals. The system determines a patient's eligibility to pay medical care costs by intelligently classifying them into groups. For example, BPL holders, elderly residents, and convicts are not required to pay for medical care. This paradigm places a high priority on security, and the article presents the idea of cryptography inside the blockchain. A secret common key is used to assist the encryption and decryption operations that are applied to data. Sensitive medical information is protected by this cryptographic technique, which guarantees the secrecy of discussions between two entities. The data may be retrieved by using this private key, which guarantees the privacy and availability of patient records that are saved.

Development of a web-based care networking system to support visiting healthcare professionals in the community

BackgroundThe role of visiting health services has been proven to be effective in promoting the health of older populations. Hence, developing a web system for nurses may help improve the quality of visiting health services for community-dwelling frail older adults. This study was conducted to develop a web application that reflects the needs of visiting nurses.MethodsVisiting nurses of public health centers and community centers in South Korea participated in the design and evaluation process. Six nurses took part in the focus group interviews, and 21 visiting nurses and community center managers participated in the satisfaction evaluation. Focus group interviews were conducted to identify the needs of visiting nurses with respect to system function. Based on the findings, a web application that can support the effective delivery of home visiting services in the community was developed. An artificial intelligence (AI) algorithm was also developed to recommend health and welfare services according to each patient’s health status. After development, a structured survey was conducted to evaluate user satisfaction with system features using Kano’s model.ResultsThe new system can be used with mobile devices to increase the mobility of visiting nurses. The system includes 13 features that support the management of patient data and enhance the efficiency of visiting services (e.g., map, navigation, scheduler, protocol archives, professional advice, and online case conferencing). The user satisfaction survey revealed that nurses showed high satisfaction with the system. Among all features, the nurses were most satisfied with the care plan, which included AI-based recommendations for community referral.ConclusionsThe system developed from the study has attractive features for visiting nurses and supports their essential tasks. The system can help with effective case management for older adults requiring in-home care and reduce nurses' workload. It can also improve communication and networking between healthcare and long-term care institutions.

Secure approach to sharing digitized medical data in a cloud environment

Without proper security mechanisms, medical records stored electronically can be accessed more easily than physical files. Patient health information is scattered throughout the hospital environment, including laboratories, pharmacies, and daily medical status reports. The electronic format of medical reports ensures that all information is available in a single place. However, it is difficult to store and manage large amounts of data. Dedicated servers and a data center are needed to store and manage patient data. However, self-managed data centers are expensive for hospitals. Storing data in a cloud is a cheaper alternative. The advantage of storing data in a cloud is that it can be retrieved anywhere and anytime using any device connected to the Internet. Therefore, doctors can easily access the medical history of a patient and diagnose diseases according to the context. It also helps prescribe the correct medicine to a patient in an appropriate way. The systematic storage of medical records could help reduce medical errors in hospitals. The challenge is to store medical records on a third-party cloud server while addressing privacy and security concerns. These servers are often semi-trusted. Thus, sensitive medical information must be protected. Open access to records and modifications performed on the information in those records may even cause patient fatalities. Patient-centric health-record security is a major concern. End-to-end file encryption before outsourcing data to a third-party cloud server ensures security. This paper presents a method that is a combination of the advanced encryption standard and the elliptical curve Diffie-Hellman method designed to increase the efficiency of medical record security for users. Comparisons of existing and proposed techniques are presented at the end of the article, with a focus on the analyzing the security approaches between the elliptic curve and secret-sharing methods. This study aims to provide a high level of security for patient health records.

Functional requirements of patient data management systems in intensive care medicine

As part of the German government's digitization initiative, the paper-based documentation that is still present in many intensive care units is to be replaced by digital patient data management systems (PDMS). In order to simplify the implementation of such systems, standards for basic functionalities that should be part of basic configurations of PDMS would be of great value. This paper describes functional requirements for PDMS in several categories. Criteria for standardized data documentation were defined by the authors and derived functional requirements were classified into two priority categories. Overall, general technical requirements, functionalities for intensive care patient care, and additional functionalities for PDMS were defined and prioritized. Using this paper as astarting point for adiscussion about basic functionalities of PDMS, it is planned to develop and obtain consensus on definitive standards with representatives from medical societies, medical informatics and PDMS manufacture.

Patient data management using blockchain technology

<span>The patient data management is an essential component of healthcare systems, the secure and efficient data processing is important for the medical data. Data security, interoperability and privacy are the key requirements of data storage systems of healthcare organizations. The electronic medical records have become a key technique to maintain patient information in hospitals due to the technology revolution. Some hospital systems are also using server-based patient detail management systems, they require considerable storage to record all of the patient's medical reports, limiting scalability. They are facing difficulties, including interoperability, security and privacy worries, cyberattacks on centralized storage, and maintaining medical policy compliance simultaneously. The blockchain technology has come up with solution having decentralized and irreversible data storage. A distributed secure ledger of blockchain is the solution, enabling safe storage and retrieval of data. The proposed work yields effectively deployed smart contracts based on the system's functions, real-time patient health monitoring. The main goal of this system is to bring the whole medical data together on a single platform, employing a secured decentralized approach to store and retrieve medical information effectively.</span>

Clinical Value and Operational Risks of MRI in ICU patients - ARetrospective Analysis Performed at a University Medical Center.

Intensive care unit (ICU) patients have a high risk of developing complications when leaving the ICU for diagnostic procedures or therapeutic interventions. Our study examined the frequency of adverse events associated with magnetic resonance imaging (MRI) of intensive care patients and the extent of changes in therapy due to the MRI scan to weigh the risks associated with the scan against the potential benefits of an MR scan, using a change in therapy as an indicator of benefit. 4434 ICU patients (January to December 2015) were identified by Hospital Information System (SAP-R/3 IS-H, Walldorf, Germany), ICU patient data management system Metavision (iMDsoft, Israel), and Radiology Information System (Nexus.medRIS, Version 8.42, Nexus, Germany). All intensive care and medical records (HIS) and MRI reports (RIS) were matched and further evaluated in a retrospective case-to-case analysis for biometric data, mechanical ventilation, ICU requirements, planned postoperative vs. emergency diagnostic requirements, complications and impact on further diagnosis or therapy. Out of 4434 ICU patients, 322 ICU patients (7.3 %) underwent a total of 385 MRI examinations. 167 patients needed a total of 215 emergency scans, while 155 patients underwent 170 planned postoperative MRI exams. 158 (94.6 %) out of 167 emergency scan patients were ventilated under continuous intravenous medication and monitoring. In the planned postoperative group, only 6 (3.9 %) out of 155 were ventilated, but a total of 38 (24.5 %) were under continuous medication. 111 patients were accompanied by nurses only during MRI. Only one severe adverse event (0.3 %) was noted and was attributed to study preparation (n = 385). In 8MRI examinations (2.1 %), the examination was interrupted or cancelled due to the patients' condition. While all MRI examinations in the planned group were completed (n = 170, 100 %) (e. g., postoperative controls), only 207 out of 215 (96.3 %) could be performed for emergency diagnostic reasons. MRI influenced the clinical course with a change in diagnosis or therapy in 74 (19.2 %) of all 385 MRI examinations performed, and in the emergency diagnostic group it was 31.2 % (n = 67/215). Nearly 20 % of MRI examinations of ICU patients resulted in a change of therapy. With only one potentially life-threatening adverse event (0.3 %) during transport and the MRI examination, the risk seems to be outweighed by the diagnostic benefit. · The risk of adverse events associated with MRI scans in ICU patients is low.. · The rate of premature termination of ICU patients' MRI scans is low.. · Almost 20 % of ICU patients' MRI scans lead to a change of therapy..

Leveraging Smart Contracts for Decentralized Healthcare Data Sharing

Abstract: Healthcare data sharing is essential for enhancing healthcare service quality and efficiency. However, traditional healthcare data sharing systems are often centralized, opaque, and inefficient. This can pose security and privacy concerns, as well as delays and errors in data access. The integration of blockchain-based smart contracts into the healthcare sector has introduced a transformative paradigm for decentralized healthcare data sharing. This research paper explores the multifaceted landscape of leveraging smart contracts to enhance the security, efficiency, and accessibility of healthcare data sharing. By offering secure, transparent, and automated mechanisms, smart contracts address critical challenges in patient data management, consent verification, and interoperability across healthcare systems.

Evaluating the blockchain-based healthcare supply chain using interval-valued Pythagorean fuzzy entropy-based decision support system

In the current era, blockchain technology has emerged as a novel technique to maintain the operations of healthcare management systems. The global COVID-19 disease has led to increase in the utilization of technology for healthcare supply chain, patient data management, and claims settlement. Data management in healthcare industry is a complex procedure where multiple organizations offer appropriate supply chain facilities in everyday life. Inadequate data handling disrupts the supply chain, which has a longstanding impact on the healthcare region. Blockchain-based solutions are renowned for their ability to produce safe and traceable results and effective in the health sector for secure data retrieval and storage, resulting in more effectual product creation and tracking. These technologies can deliver data provenance, sponsors candid healthcare industry demands, and certifies the immutability of multi direction transactions. Due to involvement of multiple factors/criteria, the selection of an effective blockchain platform-based healthcare supply chain can be treated as a decision support system (DSS) problem. Thus, the objective of this paper is to present a novel interval-valued Pythagorean fuzzy DSS for evaluating the blockchain platforms for healthcare supply chain and selecting a suitable one with respect to multiple criteria and uncertainty. The proposed DSS framework is divided into three stages. First, some fairly aggregation operators are presented to combine the individual’s information and also discussed their desirable characteristics on interval-valued Pythagorean fuzzy sets (IVPFSs). Second, an integrated weighting tool is developed using entropy-based tool for objective weight of criteria and pivot pairwise relative criteria importance assessment (PIPRECIA) model for subjective weight of criteria with IVPFSs. For this purpose, new entropy is presented on IVPFSs. Third, the multi-attribute ideal-real comparative analysis (MAIRCA) model is developed with the combination of fairly aggregation operators, entropy-based weighting tool and PIPRECIA model with interval-valued Pythagorean fuzzy information. Further, the proposed DSS is used on a case study of blockchain platforms for healthcare supply chain evaluation, which confirms its applicability and usefulness. Sensitivity and comparative assessments are carried out to check the consistency, robustness and efficiency of the presented method.

Optimalisasi Tracking Rekam Medis Dengan Barcode di Puskesmas Lendah II

In 2014, primary health centres Lendah II was implemented health information system for primary care (Simpus). the use of simpus can help the physician and health practicioners entry data of patient, import dan export data and also improved theirs performance. The implementation of medical records for primary health centres an important role in managing patient data. The use of technology and information systems in the health sector has an impact on optimizing services. One of them is by utilizing a barcode system to support storage at primary health centres Lendah II This study aims to help the storage tracking system in the filing room using barcodes. Data capture with FGD for needs analysis, then application design and trials. This research uses research and develompent. The results of the study by making class diagrams, barcode applications and examples of barcodes applied to poly service names and medical record numbers. Barcodes will be printed and affixed to the patient's medical record to facilitate tracking of the The barcode of the patient's medical record number will also be affixed to the patient's BPJS card, making it easier for officers to check the patient's medical record number on the simpus. There is a scanner reader tool that will make it easier for officers to read barcode codes.

PENGEMBANGAN DATA RECORD PASIEN DENGAN METODE JOINT APPLICATION DEVELOPMENT (Studi kasus KLINIK ALFIZA MEDIKA UTAMA)

<strong>Abstrak: </strong><em>Patient record data or patient data recording is something that exists in every health care facility, which contains records and documents about patient identity, examination, treatment, and actions given to patients which are then stored either in the form of physical documents or computerized, but on Patient data recording often experiences a problem that arises because there is no management of patient data records, causing multiple data records. Multiple data records become a problem point so that it becomes the basis for how to do a solution to multiple patient data records at the Alfiza Medika Utama Clinic. The purpose of the study was to design the development of patient data records using the joint application development method at the Alfiza Medika Utama clinic. This research was conducted using the JAD method because the data collection process involved users, managers and information technology specialists who jointly designed and developed it. The results of which can make it easier for the main Alfiza Medika clinic to record patient data so that there is no more duplicate data and make it easier in terms of services and patients in terms of registration.</em>

Assessment of the Blockchain Technology Adoption for the Management of the Electronic Health Record Systems

Blockchain has applications in a broad range of settings, including healthcare (e.g., patient data management, health supply chain management, financial and insurance claims, and preventing counterfeit medications). There are, however, challenges associated with implementing such solutions, for example project failure rate, and the need for various parties to function together. Currently, there is a lack of quantitative and comprehensive models in the literature that researchers and practitioners can use to assess healthcare organizations’ readiness for blockchain adoption, particularly from multiple perspectives and using expert judgements. Thus, the objective of this article is to develop a scoring model to evaluate healthcare organization's readiness to adopt blockchain in the context of electronic health records system management. Specifically, in this article, a literature review and expert feedback were used to identify the most important factors influencing blockchain adoption. The outcomes of the article present an identification and prioritization of the blockchain adoption impacting factors. The article identified 17 factors. These factors are grouped into five perspective: financial, social, technical, organizational, and regulations and legal. The results of the article highlight that regulation compliance, regulation uncertainty, budget availability, management support, security and privacy, and financial risk and uncertainty play an important role in the organization's readiness for blockchain adoption. The readiness scoring model then developed and evaluated through two real-world case studies at two healthcare organizations. Two case studies were conducted to demonstrate the practicality of the research model, identify areas of deficiencies, and propose corrective actions in the healthcare organization's capabilities. The goal is to prevent any possible issues, before the project starts, in order to increase chances of a successful blockchain adoption.

Attitude, perception and barriers of dental professionals towards artificial intelligence

AimTo know attitudes, perceptions and barriers towards the use of Artificial Intelligence (AI) in dentistry in India among undergraduate and postgraduate students. MethodologyA questionnaire-based cross-sectional study was conducted among participants pursuing graduation and postgraduation. The questionnaire consisted of 23 close-ended and 2 open-ended questions divided into various sections of attitude, perception and barriers. The data was analysed using Statistical Package for Social Sciences (SPSS) version 24.0. ResultOut of 937 responses, 55.2% responded that they get information about AI from social media platforms. 51.3% of respondents have basic knowledge about the use of AI in dentistry. 59.6% agreed that AI can be used as a “definitive diagnostic tool” in the diagnosis of diseases. 66.5% agreed that AI can be used for radiographic diagnosis of tooth caries. 71.3% stated that AI can be used as a “treatment planning tool” in dentistry. 55.7% stated that AI should be part of undergraduate dental training. ConclusionThis study concluded that both dental students are aware of the concept of AI. Participants were positive when asked if AI can increase the efficiency of diagnosis, prognosis and treatment planning procedures as well as in managing patient data. Both participants believed that the barriers to the introduction of AI in dentistry are a lack of technical resources and a lack of training personnel in college.

Integration of Cloud Computing in Business Information System Development

This paper provides a concise overview of the exploration into this integration, encompassing its historical evolution, fundamental concepts, benefits, challenges, and best practices. Cloud computing, emerging from its roots in virtualization technology, has evolved into a versatile framework offering an array of service models to cater to diverse organizational needs. Cloud-based solutions empower businesses to optimize resource allocation, expedite application deployment, and adeptly respond to evolving demands. Real-world case studies underscore the tangible advantages of cloud integration, from cost savings in e-commerce to streamlined patient data management in healthcare. Surveys highlight unanimous recognition of cloud benefits, including improved accessibility, cost-effectiveness, and agility, while underlining the imperative of robust security measures. Comparative analysis of cloud service models reveals a spectrum of options – Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) – providing tailored integration strategies. Expert insights and a framework guides organizations through security, compliance, and migration complexities, while methodologies and guidelines facilitate well-informed integration journeys. The results quantify performance enhancements, endorsing the strategic investment in cloud technology. In conclusion, the integration of cloud computing is not merely a technological advancement but a strategic imperative, positioning organizations at the vanguard of innovation, efficiency, and sustained success in an interconnected, data-driven landscape

Cardiac rehabilitation patient data management and quality improvement in Australia: A national survey

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Health and Medical Research Council Synergy Grant Background Receipt of guideline-indicated comprehensive cardiac rehabilitation improves patient outcomes. Optimum service delivery and meeting quality standards necessitates accurate standardised data collection and reporting. The methods, processes and systems used for data capture and reporting in cardiac rehabilitation are under-documented, limiting identification of areas needing change and creation of a platform for quality improvement (QI) at national levels. Purpose To describe data capture, management, and reporting and the awareness and use of quality indicators in contemporary Australian CR programs. Methods CR programs (n=396) were identified through professional and national directories, jurisdictional networks, webinars, and direct provider contact. Program coordinators completed an online survey on individual service characteristics, data capture and management systems (paper, electronic, database, integrated platform) including awareness, use and usefulness of the published National Cardiac Rehabilitation Quality toolkit components. Results Respondents totalled 319 (80.5%), from all eight states and territories. Coverage of Metropolitan, rural and remote towns, and regional centres was 46.3%, 45.9% and 7.8%, respectively. Indicative annual patient enrolments were >200 (31.0%), 51-200 (46.4%) and ≤50 (22.6%). Most programs used ≥2 data management systems: paper and electronic 62.6% or multiple e-systems 19.1%, or one system, either paper 20.9% or electronic 16.3%. Use of multiple systems and combinations of systems did not differ by number of patients enrolled. QI systems were infrequently used: QI Platforms 17.2%, QI Databases 10.0%. Supplementary to patient care, data gained was used for reports for management (57.0%), QI (56.1%), funding support (43.2%), required jurisdictional reporting (41.1%) and research (30.7%). Higher volume programs were more likely to be using the data capture for multiple purposes. Independent covariates of services using data for QI were enrolments of >200 (OR 3.83 95% CI 1.76, 8.34) and the state/territory location, such that use of QI was less likely in the states of Victoria (OR 0.24 95% CI 0.08, 0.77), New South Wales (OR 0.25 95% CI 0.08, 0.76) and Western Australia (OR 0.16 95% CI 0.05, 0.57). Conclusions Management of cardiac rehabilitation patient data is highly variable across Australian programs and jurisdictions, often including multiple different systems, with limited use of the data for QI. A national user-friendly, low burden approach to CR data collection incorporated into daily work-flow that is capable of benchmarking and informs QI is essential.

Gambaran Budaya Kerja Organisasi Terhadap Adaptasi Rekam Medis Elektronik dalam Pelayanan Kesehatan di Rumah Sakit

Electronic Medical Records (EMR) have become a vital system aimed at enhancing the efficiency of patient data management in hospitals. EMR is not just an innovation but a necessity that all healthcare services in Indonesia must adhere to, aligning with the targets set forth in the National Medium-Term Development Plan (RPJMN). In this context, several supportive factors play a pivotal role in EMR implementation, including organizational work culture, human resources, infrastructure, governance, and leadership. This research aimed to provide insight into hospital preparedness in the context of organizational work culture to ensure the smoother implementation of EMR. The research employed a quantitative approach with descriptive analysis. The research subjects were medical record personnel working in hospitals, with data collected from 15 hospitals of various types in the East Java region. The results of this study highlight several critical aspects of organizational work culture that influence EMR implementation, including training, socialization, mentoring, commitment, support from medical record personnel, and an understanding of how technology can enhance service quality. Nevertheless, the research also identified a prevailing perception that EMR is merely an Information Technology project, which could act as a potential hindrance to successful implementation. This research served as a reminder to hospitals about the importance of paying attention to these aspects as part of comprehensive preparations for EMR implementation. Consequently, it is anticipated that EMR implementation can proceed more efficiently and effectively, delivering greater benefits to patients and overall healthcare service delivery.

Hospital Inpatient Information System at Siti Suaibah Clinic

This study aims to improve and expedite healthcare services for inpatients at Siti Suaibah Clinic in Krian. By implementing an effective Inpatient Information System, the study sought to provide accurate, efficient, and effective patient care. The research methodology involved data processing and analysis, resulting in several findings. The system facilitated patient data management, including medical histories, treatment schedules, and procedures. However, challenges such as development and maintenance costs, training for medical staff, and data security concerns were identified. Overall, the study highlights the benefits and implications of implementing the Inpatient Information System, emphasizing the need for careful planning and management. The outcome underscores the significance of optimizing healthcare services through innovative technology.
 Highlights:
 
 Improved patient care efficiency and effectiveness through the implementation of an Inpatient Information System.
 Challenges in implementing the system: development and maintenance costs, training for medical staff, and data security concerns.
 The significance of careful planning and management to optimize healthcare services and ensure the successful implementation of the Inpatient Information System.
 
 Keywords: Inpatient care, Information system, Healthcare services, Clinic, Implementation

Perancangan Sistem Informasi Pendataan dan Pelayanan Pendaftaran Pasien pada Klinik Pratama Lina Berbasis Website

This research aims to design a web-based information system for patient data management and registration services at Klinik Pratama Lina. The study involves the analysis, design, and implementation phases to meet the needs of patient data management and registration in the clinic. The designed system includes interfaces for doctor registration, doctor data management, patient data management, treatment data management, and treatment report generation. The Waterfall method is utilized as the software development approach in this research. The study utilizes a sample dataset of 10 patients. The results demonstrate that the web-based information system for patient data management and registration services can enhance the efficiency and effectiveness of the patient registration process and data management at Klinik Pratama Lina. However, the research also identifies some limitations that need to be addressed, such as the possibility of input errors by users. This research contributes to the development of health information systems that can improve the quality of service and patient data management in the clinic.

Internet of Medical Things Application in King Hamad University Hospital

Background: The Internet of Medical Things (IoMT) is a network of medical devices and applications that are connected to the internet, allowing healthcare providers to remotely monitor and manage patient health. King Hamad University Hospital (KHUH) is a tertiary care hospital in Bahrain that has implemented various IoMT applications to improve patient care. Methods: The aim of this study is to investigate the application of Internet of Medical Things (IoMT) in King Hamad University Hospital (KHUH) and its impact on patient care and hospital operations The study will be conducted at KHUH, which is a tertiary care hospital located in Bahrain. KHUH, accommodates 739 bed in all services. (In- patients including isolation rooms: 348, Out-patient clinics: 242, Other services: 149). That provides specialized medical services to patients from Bahrain and neighboring countries. Results: The survey results showed that the most commonly used IoMT applications were remote monitoring devices for vital signs, telemedicine platforms for virtual consultations, and electronic health records for patient data management. Healthcare providers reported that these applications were effective in improving patient outcomes, reducing hospital readmissions, and increasing efficiency in healthcare delivery. However, some challenges were identified during implementation, such as technical issues with connectivity and data security concerns. Conclusion: The implementation of IoMT applications in KHUH has shown promising results in improving patient care and healthcare delivery. However, ongoing efforts are needed to address the challenges faced during implementation to ensure the sustainability and scalability of these technologies. Further research is also needed to evaluate the long-term impact of IoMT on patient outcomes and healthcare costs.

Watermarking approach based on Hermite transform and a sliding window algorithm.

Nowadays, the distribution of huge amounts of medical images through open networks in telemedicine applications has become increasingly faster and easier. Therefore, a number of considerations are introduced related to the risks of the illegal use of these images, as total diagnosis depends on them. Indeed, the patient's data management, storage, and transmission require a technique for boosting security, integrity and privacy measures in telehealthcare services. In fact, in our previous works, we used polynomial decompositions such as Chebychev orthogonal polynomial transform in medical image watermarking. We then customise our tools for finding the best candidate area for embedding the watermark, always seeking to provide the best solution to this issue. In this research, a variation to medical image watermarking approach based on Hermite transform (HT) is suggested for reliable management of medical data. In this approach, the HT is employed as a preprocessing step so as to extract the texture component of the host medical image. Afterward, a sliding window technique is done to select the most suitable regions for watermark embedding. Lastly, the Arnold transform is utilized for encrypting the watermark to strengthen the security of our scheme. Experiments were conducted on various modalities of medical images. Results indicate that the proposed scheme is robust when subjected to various attacks while preserving a high level of security and invisibility factors. Also, our method preserves the quality of medical images with a good embedding capacity. The obtained results support the use of Hermite Polynomials for the implementation of watermarking in the medical imaging context.