Doctor's Appointment Research Articles

A qualitative dyad analysis of barriers and facilitators of antiretroviral therapy (ART) adherence among people who inject drugs (PWID) with HIV in Kazakhstan.

People with HIV (PWH) who inject drugs (PWID) face many barriers to ART adherence. Kazakhstan has one of the fastest growing HIV epidemics in the world, primarily fueled by injection drug use, yet ART adherence among PWID is low. Social support can help address these barriers, but ART adherence among PWID is rarely examined within the relationship context. We conducted interviews with 20 PWID with HIV and 18 of their intimate partners and performed a qualitative dyad analysis to examine ART adherence factors. The results indicated many barriers and facilitators of ART adherence at the individual level (e.g., substance use), interpersonal level (e.g., social support) and structural level (e.g., stigma, transportation). Reported adherence barriers and facilitators had high congruence between dyad members; however, some notable differences were found between dyads. Compared to PWH, partners without HIV had a lack of awareness about the role of stigma in impeding ART adherence. Different manifestations of social support to facilitate ART adherence were noted between seroconcordant dyads (e.g., taking pills together, attending appointments together) and serodiscordant dyads (e.g., reminders to take pills, providing babysitting to enable attendance at doctor appointments). Future research and programs may benefit from integrating dyad approaches into ART adherence interventions.

A cross-sectional study on utilization and barriers of eSanjeevani telemedicine services in rural areas of South India: Curing at a distance

Background: Telemedicine services are essential in a country like India, where the doctor-to-patient ratio and hospital-topopulation ratio are lower than the World Health Organization (WHO)-recommended ratio. To prevent the long waiting time for doctor appointments, diagnosis, and treatment plans in person, an alternative system such as eSanjeevani telemedicine is necessary to tackle medical emergencies in a populated country like India. Objectives: To assess the utilization and barriers affecting the utilization of eSanjeevani services among residents of rural areas in Karnataka. Materials and Methods: A Cross sectional community study was conducted in the rural areas of south India, using a pre-tested semi-structured interview schedule. Multistage cluster sampling method was used to select 400 households. The collected data has been expressed in terms of frequencies and percentages. Results: The study identified that most of the study participants were from lower middle class as per the modified Kuppuswamy Scale. Only 34.8% were aware of the eSanjeevani services and among them 22% utilized eSanjeevani services in which General medicine services (86.3%) were used the most. Major barriers for utilization included network issues (29%) followed by no room for queries/questions (20%). Conclusion: Telemedicine has the potential to enhance the availability and accessibility of healthcare to everyone. At the moment, lack of awareness, low network connectivity, and inherent technological limits pose major challenges for accessing telemedicine. Utilization of telemedicine can be increased by making people aware about the advantages of using it through strong Information, Education and Communication and media publicity

Utrasound as a method for confirming the positioning of enteral catheters in critically ill patients.

To evaluate the agreement between the bedside ultrasound in a single epigastric window and the plain X-ray to confirm the positioning of the enteral catheter in critically ill patients. This was an observational, cross-sectional study conducted in two Intensive Care Units of a university hospital. The ultrasound exams were carried out immediately after the introduction of the enteral catheter, using only the epigastric window, with an injection of 5 ml of air associated with 5 ml of saline solution. In all cases, the plain radiography was taken to confirm the positioning of the enteral catheter and to define the beginning of nutritional therapy. This study included 83 patients, the positioning of the enteral catheter was confirmed by plain radiography in all cases and by ultrasound in 81 (97.6%) patients. The median duration of the ultrasound exam was 2 (2-3) minutes, while the time spent between the request for the X-ray and the release of the exam for a doctor's appointment was 225 (120-330) minutes. Bedside ultrasound proved to be an effective, quick, and safe method to confirm the position of the enteral catheter in critically ill patients.

Healthcare Operations Management: Optimizing Patient Flow and Quality Care in India

Patients' preferences changed from general practice to sub-specialty practice because there was no referral system in place. Most people would rather speak with a medical expert. The cheap medical tariff may make it easier for patients to see a doctor. Patients can see a doctor for even less money thanks to medical insurance companies. In addition, the cost of a doctor's appointment remains the same regardless of how straightforward the case may be. It fosters competition between general practitioners and experts, with the belief that the latter are superior. In addition, confusion and repeated visits to the doctor are caused by a patient's lack of trust in medical professionals and their ignorance of medical procedures. Social Security recipients' hospitals are overworked. The quality of services decreases as the patient base grows. Equipment and facilities are ageing out of date. Providers are forced to restrict their flexibility and ability to adjust to the unique needs of their patients due to staffing shortages and scheduling constraints. Physicians may be forced to refer patients to paramedical departments instead of doing a complete examination in order to deliver a proper diagnosis due to the rising demand for medical services. The current study, which makes reference to India, focusses on healthcare quality management strategies in multispecialty hospitals.

Migration Challenges and Their Impact on the Primary Healthcare System-A Qualitative Research.

In 2020 it is estimated that 281 million people were international migrants. Migrants constitute a potentially vulnerable population in terms of facing discrimination, poor living and housing conditions, and insufficient access to healthcare services. Due to the armed conflict in Ukraine in 2022, almost 10 million people crossed the Polish border within a year of the outbreak of the conflict. The objective of this paper is to present the use of primary healthcare services by people migrating from Ukraine to Poland and identify the barriers in access to healthcare by this group of persons. This study used a qualitative research technique in the form of an expert interview using individual in-depth interviews (IDI). The study group consisted of professionally active primary healthcare providers (doctors, nurses, and facility managers) in Poland. Research was carried out in the areas regarding the availability of healthcare, the potential threats and challenges, and possible system solutions. The results showed that the most common cause for doctor's appointments among migrants are respiratory infections, including COVID-19. Many cases were related to back pain, mainly resulting from the physical work of the patients. Additionally, some barriers to access and the provision of healthcare services for patients from Ukraine were identified. The majority (75%) of respondents indicated language as a significant barrier when providing services. Based on the study results, we recommend creating a dedicated website and telephone hotline for this group of persons as well as the use of traditional media to distribute information about access to healthcare services. It is also essential to focus on assistance for older people, since they may experience more difficulties with language and navigating the healthcare system.

Secure data communication in WSHN using EXP-MD5 and DHSK-ECC.

In the Healthcare (HC) sector, the usage of Wireless Sensor Healthcare Networks (WSHN) is attaining specific importance. The sensor device is implanted into the patient's body, and the sensed health information of patients is transformed via data aggregating devices like mobile devices, cameras, and so on, to the doctors. Thus, the early signs of diseases are identified, and remote monitoring of the patient's health is carried out by the physician on time. This aids in improving the health condition of the people and reduces the severity of disorders. But, the security gap in HC remains unresolved, despite various advantages. This work proposes secured data communication in WSHN using Exponential Message Digest5 (EXP-MD5) and Diffie Hellman Secret Key-based Elliptic Curve Cryptography (DHSK-ECC) techniques. Primarily, the patient registers their details in the Hospital Cloud Server (HCS). With hospital ID and patient ID, public and private keys are generated during registration. Afterward, by utilizing the Navie Shuffling (NS) technique, nCr combinations are created and shuffled. After shuffling, any of the randomly selected combinations are encoded utilizing the American Standard Code for Information Interchange (ASCII) code. For patient authentication, the ASCII code is further converted into a Quick Response(QR) code. Upon successful registration, the patient logs in to HCS. The patient can book for doctor's appointment if the login details are verified with those of the registered details. On consulting the doctor at the pre-informed time, the digital signature is created utilizing the Universal Unique Salt-based Digital Signature Algorithm (UUS-DSA) for authenticating the patient details. Further, for providing accessibility to all the authorized patients, the registered patients on HCS are considered as nodes. Then, an authorized path is created using the EXP-MD5 technique to protect each individual patient's details. The patient's IoT data is sensed, followed by authorized path creation. The data is encrypted via the DHSK-ECC algorithm for secure data transmission. Lastly, all the information is stored in HCS, so that the patient's health condition is regularly monitored by the doctor and the needy advice is suggested to the patients in the future. Also, hash matching is carried out when the doctor needs to access data. The proposed technique's efficacy is validated by the performance analysis in comparison with other conventional techniques. In this proposed research, the authentication is performed in multiple scenarios to enhance data security and user privacy. The patient details are authenticated during registration and verification to access the online consultation only by the authorized person. Further, the patient health information is encrypted in the proposed work after consultation so that the intrusion of medical records by malicious users and data tampering is prevented. Also, the sensed data gathered from patients are transferred to the HCS by creating the authorized path, which further enhances the security of patient data. Thus, the data communication of the WSHN is well-secured in this work through multi-level authentication and improved cryptography techniques.

Analisis Penerimaan dan Kesuksesan Aplikasi M-health pada Lansia menggunakan Model UTAUT dan Delone & McLean

M-health plays a crucial role in providing medical services through features like online doctor appointments. While it offers convenience, there are challenges in its adoption among the elderly. The success of M-health depends on user acceptance and continued use. Therefore, an evaluation of information technology focused on the elderly in Indonesia is necessary. Technology accepted by users is not necessarily successful, and vice versa. This study aims to identify factors influencing the acceptance and success of M-health applications among the elderly. It combines the UTAUT and Delone & McLean models to investigate acceptance and success factors. The variables used are performance expectancy, effort expectancy, information quality, system quality, service quality, user satisfaction, and continuance intention. The PLS-SEM method is used to process respondent data. Analysis result shows that 61.6% of elderly users' satisfaction with M-health is influenced by information quality, service quality, performance expectancy, and effort expectancy. Meanwhile, 59.4% of the continuance intention is influenced by user satisfaction. This indicates that the application is well received and successful because it provides a satisfying experience. This study confirms that the combination of the UTAUT and Delone & McLean models is adequate.

ReLink strategy in diagnosed-but-untreated hepatitis C-positive patients in Germany: report from a single center.

The ReLink project aims to reintegrate diagnosed-but-untreated hepatitis-C-positive patients into medical care and initiate a therapy. A retrospective search within the practice management system of a single center in Germany identified among 1965 hepatitis-C-positive patients 100untreated patients with available contact details and meeting all inclusion criteria. Patients were contacted by 2contact rounds. Out of 100patients, 64% were male. Most patients (81%) were aged between 30and59years. The patients belonged to high-risk groups for hepatitisC virus infections or had other comorbidities. The majority of patients injected drugs (21%) and/or were currently or had been on substitution therapy (44%); alcohol addiction was also frequent (21%). Out of 25patients who agreed to an appointment, 10patients (40%) started therapy and 5additional patients (20%) agreed to therapy but were not yet able to start or had not yet made a decision. One‑third of patients who agreed to an appointment did not show up. Diagnosed-but-untreated patients are an important subgroup of hepatitis-C-positive patients; their recall to the clinic for direct-acting antiviral therapy is possible. However, inaccurate contact information, unresponsiveness to outreach, and further reluctance to attend doctor appointments limited the overall impact of this program. Regular review of the patients' contact details may facilitate both follow-up and recall.

Analysis: Married Women-Segmented Module Meet Doctor Users With Low Interest in The Klikdokter App

The clinic's process for requesting a consultation with a doctor and receiving a queue number is inefficient. To help patients make the most of their time at the clinic, it is helpful to provide them with information on when physicians will be available to see them. A new approach to health development governance is required under Regulation No. 21 of 2020 of the Republic of Indonesia's Minister of Health, which addresses the Ministry's Strategic Plan for 2020–2024. This plan encompasses health information systems, research integration, and development, among other areas. First, Health Technology Transformation, which includes developing and integrating health data; second, Health Service Application Integration and Development; and third, Health Technology Ecosystem Development, will house the primary activities involved in health technology transformation. This study's findings suggest that consumers are mostly interested in finding hospitals in close proximity to their homes, rather than using the doctor's appointment component of the KlikDokter app. Because of this, KlikDokter has to implement a change movement that can increase the number of health facilities that operate with Klik Doctor, allowing it to reach the closest health facility. It also has to link insurance and BPJS so that health facilities may provide transaction features.

Oops!… I waited until the last minute again: The role of fresh start nudges in task completion

AbstractIndividuals often have difficulties completing tasks in a timely manner. Whether it be scheduling a doctor's appointment, purchasing a birthday gift, or booking an airline ticket, waiting until the very last minute can carry serious consequences. In two experimental studies, we explore how individuals can be encouraged to finish tasks promptly. We provide evidence for the “fresh start effect” by showing that a temporal landmark signaling a new beginning helps speed up their task completion. Notably, we demonstrate that the “fresh start nudge” can facilitate early task completion through the underlying processes of meaningfulness and motivation. We also report the moderating role of task openness, supporting the claim that the fresh start effect is stronger when the task is perceived to be relatively closed (rather than open) and must therefore be completed in fewer steps without interruption.

Situations Predisposing Primary Care Patients to Use Antibiotics Without a Prescription in the United States

Background: Using antibiotics without medical guidance (non-prescription use) is a potential safety threat to individual and public health. Patients' situations can impact their intentions to use non-prescription antibiotics in the future (intended use). This survey (1) explores the dimensionality of 13 predefined situations to identify ‘summary factor,’ which include conceptually similar situations that influence patients’ intended use of non-prescription antibiotics, and (2) identifies the sociodemographic predictors associated with these summary factors. Methods: A cross-sectional survey was conducted from January 2020–June 2021 in the waiting rooms of six safety-net primary care clinics and two private emergency departments. We used principal component analysis as a data reduction technique and confirmed the factor structure of the situations (identifying three situational summary factors). Multivariate linear regression identified the sociodemographic predictors (e.g., age, gender, race, education, insurance, healthcare system, language preference, birth country, and health literacy) associated with each summary factor. Results: Of the 564 patients surveyed, the majority were female (72%), Hispanic or Latinx (47%), college-educated (44%), and received public health insurance (e.g., Medicaid or County Financial Assistance) (56%). The largest proportion of patients endorsed intended non-prescription antibiotic use for situations involving high doctor visit costs (29.8%), having leftover prescription antibiotics (50.4%), and experiencing symptom relief with prior use of antibiotics (47.5%) (Figure 1). We identified three situational summary factors: (1) perceived barriers to a doctor visit and receiving a prescription (Cronbach’s alpha [α]=0.96), (2) convenience and accessibility of non-prescription antibiotics (α=0.81), and (3) previous symptom relief with antibiotics (α=0.95). After controlling for gender, race, education, insurance, language preference, birth country, and health literacy, our multivariate regression results revealed that younger patients (P < 0 .04) and patients attending the safety-net health system (P < 0 .001) had more intended use of non-prescription antibiotics for all three summary factors (Figure 2). Conclusions: Our study revealed that younger patients and individuals receiving care from the safety-net clinics had an increased risk of intended non-prescription antibiotic use across all summary factors. Future stewardship interventions should consider the types of situations that drive patients' decisions to use antibiotics without a prescription. Interventions aimed at reducing barriers to healthcare (e.g., high costs and long waits associated with doctor appointments) and educating individuals on the risks associated with inappropriate antibiotic use while providing alternative (non-antibiotic) treatment options may reduce antibiotic use and antimicrobial resistance. Acknowledgments: This work is supported by grant number R01HS026901 from AHRQ and NRSA T-32 (6T32HC10031).Disclosure: Barbara Trautner: Stock: Abbvie--sold in December 2023; Abbott Laboratories--sold in December 2023; -Bristol Myers Squibb--sold in December 2023; Pfizer--sold in December 2023; Consultant--Phiogen—consultant. Contracted research through NIAID for STRIVE trial, currently testing Shionogi product; Contracted research--Peptilogics; Contracted research--Genentech

DOCTOR APPOINTMENT SYSTEM

ABSTRACT— Doctor Appointment System is a web based application which provides patients or any user and easy way of booking a doctor’s appointment online. This is a web based application that overcomes the issue of managing and booking appointments according to user’s choice or demands. The task sometime become very tedious for the compounder or doctor himself in manually allotting appointments for the users as per their availability. Hence this project offers an effective solution where user can view various booking slots available select the preferred date and time. The main objective of “Doctor Appointment Management System” project is to providing easier doctor appointment and gets appointment online which save lots of time. Index Terms – Deep Learning, Machine Learning, CNN, Image classification, Brain disease, MRI classification.

Machine Learning-Based Cardiovascular Disease Detection and Intelligent Healthcare Workflow Automation

Cardiovascular diseases (CVDs) are a major cause of death worldwide, emphasizing the importance of better early detection methods. This study introduces a machine learning model to detect CVDs by analyzing vital sign information. The model, which was trained using a cardiovascular dataset, utilizes three algorithms: Support Vector Machine (SVM), Naïve Bayes, and Decision Tree. It assesses the health status of patients by predicting vital sign values, allowing healthcare providers to receive timely alerts. Following the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology, a proof-of-concept web application was created with object-oriented design principles and implemented using Python. This application predicts the likelihood of CVD and streamlines the scheduling of doctor appointments, promoting quick medical intervention. Our findings reveal that the Decision Tree classifier performed the best in accurately identifying patients who are at risk based on abnormalities in vital signs. This method can potentially enhance early detection of CVDs and improve the timing of medical care.

Determining diagnostic delays in Romanian multiple myeloma patients using the Aarhus statement

IntroductionMultiple Myeloma (MM) is classified as one of the most challenging cancers to diagnose, and the hematological malignancy is associated with prolonged diagnostic delays. Although major steps have been made in the improvement of MM patient diagnosis and care, Romanian patients still face long diagnostic delays. Thus far, there have been no studies evaluating the factors associated with diagnostic errors in Romanian MM patients.MethodsUsing the Aarhus statement, we prospectively determined the diagnostic intervals for 103 patients diagnosed with MM at Fundeni Clinical Institute, between January 2022 and March 2023.ResultsOur data revealed that the main diagnostic delays are experienced during the “patient interval.” Patients spend a median of 162 days from the first symptom onset until the first doctor appointment. Bone pain is the most frequently reported symptom by patients (78.64%), but it leads to a medical-seeking behavior in only half of the reporting patients and results in a median delay of 191 days. The changes in routine lab tests are considered most worrisome for patients, leading to a medical appointment after a median of only 25 days. The median primary care interval was 70 days, with patients having an average of 3.7 medical visits until MM suspicion was first raised. The secondary care interval did not contribute to the diagnostic delays.DiscussionOverall, the median diagnostic path for MM patients in Romania was more than 6 months, leading to a higher number of emergency presentations and myeloma-related end-organ damage.

Medicare: Doctor Appointment Website and Hosting Using Cloud Services

The "Doctor Appointment Website Hosting with Cloud Services" project aims to revolutionize the healthcare appointment scheduling process by leveraging modern web technologies and cloud infrastructure. The web application provides a user-friendly platform for patients and healthcare providers to efficiently manage appointments, access relevant information, and communicate seamlessly. By integrating AWS cloud services, the platform ensures scalability, reliability, and accessibility, accommodating growing user bases and maintaining high availability. Additionally, the project incorporates telemedicine capabilities, enabling virtual appointments and improving accessibility to healthcare services. Through the implementation of innovative features and robust system architecture, the project addresses key challenges in traditional appointment management systems and enhances the overall patient experience. Future scope includes the integration of advanced functionalities such as health monitoring, AI-powered chatbots, and predictive analytics, further advancing the platform's capabilities and fostering a patient-centric approach to healthcare delivery. Overall, the project represents a significant step towards modernizing healthcare appointment scheduling and optimizing clinical workflows in a cloud-based environment. Keywords: - Doctor Appointment, Website Hosting, Cloud Services, Appointment Management, JavaScript.

E-Health Care System

Within the Admin module, healthcare facility administrators have robust tools at their disposal to manage users, including doctors, staff, and patients. They can effortlessly organize departments and allocate doctors and staff members accordingly, ensuring a streamlined workflow. Additionally, administrators can efficiently oversee doctor appointments, maintain financial records through transaction reports, and monitor lab reports, guaranteeing the accuracy and timeliness of crucial medical information. The Patient module empowers individuals to actively engage with their healthcare services. Patients can seamlessly access their appointment schedules, check the availability and status of their appointed doctors, and book or modify appointments as needed. Furthermore, they can review their prescription history, ensuring they adhere to their recommended treatments, and manage their personal profiles for comprehensive healthcare management. Key Words: — User management ,Doctor allocation Department ,organization Workflow optimization, Appointment scheduling

Optimizing Doctor Availability and Appointment Allocation in Hospitals through Digital Technology and AI Integration

Many patients miss their appointments all around the world and many of them don't even cancel at all or don't do so in time due to several reasons. In order to address the widespread issue of medical no-shows, this paper proposes a solution that involves building a machine learning model utilizing patient datasets that are already available. This model will identify patterns and links between various patient factors and the patients' propensity to miss appointments. As a result, based on their information, it is possible to anticipate the chance of a patient appearing. Based on the Support Vector Machines classification technique, the machine learning model created the solution predictive model. Effective healthcare services are vital in today's fast-paced environment. This strategy aims to reduce the distance between patients and medical professionals by offering a workable and friendly solution. For certain medical institutions, such as clinics and hospitals, this initiative makes it easier for patients and customers to schedule doctor appointments online. Using this technology, patients may easily browse a database of doctors' biographies, specializations, and availability. Even the day and time of their choosing can be chosen for appointments. Each patient's appointment request will be scheduled by this doctor's appointment system and forwarded to the physician. The system administrator will update the list of doctors, including their specialties, personal information, and system access credentials. Patients will look for a physician who specializes in their requirements by exploring the doctor's appointment system online. Before making their request, the patient can browse the doctor's weekly schedule to choose a day and time that works best for them. Following that, the physicians have access to all of their appointments as well as the patients' appointment requests, which are prioritized according to their availability. It gives medical professionals a strong tool for successfully managing the schedules, which reduces administrative strain and ensures a positive patient experience.

Questions a patient with moderate to severe atopic dermatitis would like to be asked: Data from a qualitative study conducted by anthropologists

AbstractBackgroundA considerable number of patients with moderate to severe atopic dermatitis (AD) are undertreated and have inadequate control of their symptoms leading to a hight patient dissatisfaction during their care. The VECUDA study composed of VECU and DA for french word lived and atopic dermatitis was conducted by anthropologists in cooperation with dermatologists, aimed to better understand the complexity of the care pathway and the physician‐patient relationship by questioning patients with moderate to severe AD.ObjectivesThe aim was to identify patient's needs and to propose concrete ways of improving the doctor‐patient relationship by focusing on the narrative of their affects. Co‐designed easy‐to‐use tools were proposed by these patients.MethodsThe exploratory qualitative study involved 24 patients with moderate‐to‐severe AD. The study was conducted in two stages: a codesign phase with four patients, and a deepening phase with all patients (24), supported by a multidisciplinary scientific committee. During group interviews, conducted using creativity tools, patients' stories related to their experiences of the disease and its management were collected.ResultsBy studying the patients' affect stories, researchers were able to identify the needs of patients who might be 1. emotional (better consideration of their experiences); 2. informational (more information about their disease and treatments); 3. participatory (being involved in their care: therapeutic alliance). Mechanisms of therapeutic dissatisfaction and satisfaction were mapped into vicious and virtuous circles. Patients also offered concrete and easy‐to‐use tools. We are presenting here the grid of questions these patients would like to be asked during their doctor's appointment: the Doctor‐Facing Questions Grid that these patients would like to be asked during a consultation.ConclusionsBy facilitating the identification of patients' needs/expectations, these tools would help guide the clinician's discussion and management in a few questions. The VECUDA study confirms the value of considering patients' perspective as a lever for improving the doctor‐patient relationship.

Beyond Birth Work: Addressing Social Determinants of Health With Community Perinatal Support Doulas.

Adverse maternal and infant health outcomes among African Americans are increasingly recognized as indicators of a critical public health crisis in the United States. Research has found that stress is related to structural racism and the social determinants of health (SDOH) that cause avoidable, unfair inequities in resources, education, power, and opportunities across ethnic groups. This paper describes the SDOH needs and experiences of pregnant Black women from the perspective of doulas and Birthing Beautiful Communities (BBC) clients. The design was a qualitative description, using data collected over time (2017-2018, 2020-2021, and 2023). This study took place in Cleveland and Akron, Ohio and the sample included 58 clients, 26 doulas, and 2 resource intake specialist assistants (RISAs). Qualitative data included individual client interviews, three doula focus groups, and one interview with two BBC RISAs. Three coders used content analysis to deductively identify SDOHs and calculate the number of interviews that contained information about specific SDOHs. Although the sample reported issues with all SDOH, particular ones caused a cascade of SDOH effects. Transportation issues, for example, impeded women from being able to make it to work, doctor's appointments, and to purchase essential baby items (e.g., food, infant supplies). An inability to work-whether because of transportation challenges or pregnancy-related health complications-led to unstable housing and an inability to deal with transportation challenges. Many clients mentioned that housing was a major issue, with many clients experiencing housing instability. Implications include ensuring SDOH information is collected from a trusted source who can advocate and ensure access to a wide range of local resources, ensuring policies protect pregnant women from experiencing a cascade of SDOH that may contribute to continuing health disparate infant and maternal health outcomes in African American women.

Doctor Appointment System

Abstract: In today's fast-paced world, efficient healthcare services are essential for maintaining the well-being of individuals. This abstract introduces a Doctor Appointment Booking System, designed to streamline the process of scheduling medical appointments. This system leverages technology to improve healthcare access, reduce patient waiting times, and enhance overall patient experience. The Doctor Appointment Booking System incorporates user-friendly web and mobile applications, allowing patients to conveniently browse through a list of available doctors, view their profiles, and select suitable appointment slots. It also provides a user-friendly interface for healthcare providers to manage their schedules and update their availability in real-time. Additionally, it features an integrated notification system to send appointment reminders, thus reducing no-show rates and ensuring optimal resource utilization. Furthermore, this system offers secure and confidential storage of patient data, ensuring compliance with relevant healthcare regulations, such as HIPAA. Data analytics capabilities enable the generation of valuable insights for both healthcare providers and administrators to improve resource allocation and optimize the patient experience