This paper is a literature review on the present condition of pre-natal and post-natal Maternal and Child healthcare in Rural India. This is a first step on finding the several possibilities using AI, Big Data and Telemedicine in identifying patterns and provide more structured and streamlined support to rural and semi-urban communities. Our endeavour with this research paper is to identify the pain points and attempt to find solutions using current technologies.
Gain insights from data analytics and take action! Learn why everyone is making a big deal about big data in healthcare and how data analytics creates action.
Short overview over possibilities and challenges of using artificial intelligence in health care. Presentation from the MultiHelix ThinkTank, May 14 2020.
This presentation contains an introduction to emerging healthcare Technologies. These emerging technologies include Data Analytics, AI, Blockchain, Telehealth, virtual reality, cloud computing, and IOT. The concept of Nanorobots as future medicine is also included in this presentation.
Gain insights from data analytics and take action! Learn why everyone is making a big deal about big data in healthcare and how data analytics creates action.
Short overview over possibilities and challenges of using artificial intelligence in health care. Presentation from the MultiHelix ThinkTank, May 14 2020.
This presentation contains an introduction to emerging healthcare Technologies. These emerging technologies include Data Analytics, AI, Blockchain, Telehealth, virtual reality, cloud computing, and IOT. The concept of Nanorobots as future medicine is also included in this presentation.
By leveraging Big Data, the healthcare industry has an incredible potential to improve lives. This session will give examples of how data volume, velocity and variety is transforming the “art” of a doctor to the science of care. It will describe how the use of machine learning and massive amount of data will drive the new Consumer Drive healthcare movement.
Future of Healthcare – Leadership Challenges
Further to several additional expert workshops this year, we are delighted to share an updated global perspective on the future of healthcare. Produced in partnership with Duke Corporate Education (http://www.dukece.com), this adds new insights on the pivotal shifts taking place across the sector plus viewpoints on some of the core implications for leadership. Topics include the growing power of data; the rising impact of urbanisation on health; increasing patient centricity; the need for more flexible organisations and the move of innovation activity eastwards.
Available as both this report and as an accompanying presentation (https://www.slideshare.net/futureagenda2/future-of-healthcare-15-october-2019-182433390) this is now being used to inform and provoke further debate around the world. As ever we would like to thank all those who have given their time and insight to contribute to this project.
Data
Information
Intelligence
Health information system
Sources of data
Census
Registration of vital events
Sample registration system
Notification of diseases
Hospital records
Disease registers
Record linkage
Epidemiological surveillance
Other health service records
Environmental health data
Health manpower statistics
Population surveys
Other routine statics related to health
Non – quantifiable information
Health management information system
Central Bureau of health Ingelligence
National health profile
WHO Reports
Global Health Observatory
World bank
Health stats
10 Common Applications of Artificial Intelligence in HealthcareTechtic Solutions
List of 10 Common Applications of Artificial Intelligence that explain how artificial intelligence is used in healthcare and why it is necessary? To read briefly all common applications of artificial intelligence in healthcare then visit at https://www.techtic.com/blog/applications-of-ai-in-healthcare/
This presentation is already a little older - mid 2018, I forget to upload it earlier. It covers different areas of AI-applications in healthcare and medicine
Artificial Intelligence In Medical IndustryDataMites
Medical artificial intelligence (AI) mainly uses computer techniques to perform clinical diagnoses and suggest treatments. AI has the capability of detecting meaningful relationships in a data set and has been widely used in many clinical situations to diagnose, treat, and predict the results.
visit : https://datamites.com/artificial-intelligence-course-training-pune/
AI in Healthcare: From Hype to Impact (updated)Mei Chen, PhD
The primary goal of this workshop is to help health professionals gain a critical understanding of the various types of AI technologies available so they can make wise decisions and invest AI for healthcare improvement.
From your home to the waiting room, today’s patient experience is rapidly evolving and will continue changing into the future. We have more control and insight into healthcare than ever before, largely due to emerging and readily accessible technologies. This is impacting both the experience at the provider’s office and how patients research and address their own healthcare at home. A look at the technologies that are changing healthcare and practical applications for consumers to take charge of their health today. This presentation was originally given at the 2013 Better Health: Everyone's Responsibility Conference.
This webinar will focus on the technical and practical aspects of creating and deploying predictive analytics. We have seen an emerging need for predictive analytics across clinical, operational, and financial domains. One pitfall we’ve seen with predictive analytics is that while many people with access to free tools can develop predictive models, many organizations fail to provide a sufficient infrastructure in which the models are deployed in a consistent, reliable way and truly embedded into the analytics environment. We will survey techniques that are used to get better predictions at scale. This webinar won’t be an intense mathematical treatment of the latest predictive algorithms, but will rather be a guide for organizations that want to embed predictive analytics into their technical and operational workflows.
Topics will include:
Reducing the time it takes to develop a model
Automating model training and retraining
Feature engineering
Deploying the model in the analytics environment
Deploying the model in the clinical environment
AI and the Future of Healthcare, Siemens HealthineersLevi Shapiro
Presentation by Joanne Grau, Head of Digitalization Thought-Leadership at Siemens Healthineers, Oct 31, 2022, for mHealth Israel- "AI and the Future of Healthcare". Three sections- Workforce Productivity, Precision Therapy and Digital Twin.
ImageVision_ Blog_ AI in Healthcare Unlocking New Possibilities for Disease D...AppsTek Corp
Healthcare has made massive developments and advancements in recent years, particularly in clinical research, biomedical improvement, digital technology, processes, and systems.
However, it nonetheless faces several complications, together with a lack of healthcare workers at the frontlines, an increase in health disparities between nations with various income levels, and a vast quantity of health spending that has not yielded the favored health outcomes. Artificial Intelligence (AI) has emerged as an approach to deal with these challenges, using technologies such as ML – Machine Learning and DL – Deep Learning.
From disease diagnosis to personalized treatment plans, the integration of AI-powered solutions has shown its capability to change the way healthcare works. The ability to process big volumes of information rapidly and appropriately has created new possibilities for enhancing patient care, lowering prices, and enhancing efficiency in the Healthcare system.
In this blog, we will explore How AI is Transforming Healthcare and its impact on both patients and Healthcare providers. let's first delve into the reasons why Healthcare is adopting AI.
By leveraging Big Data, the healthcare industry has an incredible potential to improve lives. This session will give examples of how data volume, velocity and variety is transforming the “art” of a doctor to the science of care. It will describe how the use of machine learning and massive amount of data will drive the new Consumer Drive healthcare movement.
Future of Healthcare – Leadership Challenges
Further to several additional expert workshops this year, we are delighted to share an updated global perspective on the future of healthcare. Produced in partnership with Duke Corporate Education (http://www.dukece.com), this adds new insights on the pivotal shifts taking place across the sector plus viewpoints on some of the core implications for leadership. Topics include the growing power of data; the rising impact of urbanisation on health; increasing patient centricity; the need for more flexible organisations and the move of innovation activity eastwards.
Available as both this report and as an accompanying presentation (https://www.slideshare.net/futureagenda2/future-of-healthcare-15-october-2019-182433390) this is now being used to inform and provoke further debate around the world. As ever we would like to thank all those who have given their time and insight to contribute to this project.
Data
Information
Intelligence
Health information system
Sources of data
Census
Registration of vital events
Sample registration system
Notification of diseases
Hospital records
Disease registers
Record linkage
Epidemiological surveillance
Other health service records
Environmental health data
Health manpower statistics
Population surveys
Other routine statics related to health
Non – quantifiable information
Health management information system
Central Bureau of health Ingelligence
National health profile
WHO Reports
Global Health Observatory
World bank
Health stats
10 Common Applications of Artificial Intelligence in HealthcareTechtic Solutions
List of 10 Common Applications of Artificial Intelligence that explain how artificial intelligence is used in healthcare and why it is necessary? To read briefly all common applications of artificial intelligence in healthcare then visit at https://www.techtic.com/blog/applications-of-ai-in-healthcare/
This presentation is already a little older - mid 2018, I forget to upload it earlier. It covers different areas of AI-applications in healthcare and medicine
Artificial Intelligence In Medical IndustryDataMites
Medical artificial intelligence (AI) mainly uses computer techniques to perform clinical diagnoses and suggest treatments. AI has the capability of detecting meaningful relationships in a data set and has been widely used in many clinical situations to diagnose, treat, and predict the results.
visit : https://datamites.com/artificial-intelligence-course-training-pune/
AI in Healthcare: From Hype to Impact (updated)Mei Chen, PhD
The primary goal of this workshop is to help health professionals gain a critical understanding of the various types of AI technologies available so they can make wise decisions and invest AI for healthcare improvement.
From your home to the waiting room, today’s patient experience is rapidly evolving and will continue changing into the future. We have more control and insight into healthcare than ever before, largely due to emerging and readily accessible technologies. This is impacting both the experience at the provider’s office and how patients research and address their own healthcare at home. A look at the technologies that are changing healthcare and practical applications for consumers to take charge of their health today. This presentation was originally given at the 2013 Better Health: Everyone's Responsibility Conference.
This webinar will focus on the technical and practical aspects of creating and deploying predictive analytics. We have seen an emerging need for predictive analytics across clinical, operational, and financial domains. One pitfall we’ve seen with predictive analytics is that while many people with access to free tools can develop predictive models, many organizations fail to provide a sufficient infrastructure in which the models are deployed in a consistent, reliable way and truly embedded into the analytics environment. We will survey techniques that are used to get better predictions at scale. This webinar won’t be an intense mathematical treatment of the latest predictive algorithms, but will rather be a guide for organizations that want to embed predictive analytics into their technical and operational workflows.
Topics will include:
Reducing the time it takes to develop a model
Automating model training and retraining
Feature engineering
Deploying the model in the analytics environment
Deploying the model in the clinical environment
AI and the Future of Healthcare, Siemens HealthineersLevi Shapiro
Presentation by Joanne Grau, Head of Digitalization Thought-Leadership at Siemens Healthineers, Oct 31, 2022, for mHealth Israel- "AI and the Future of Healthcare". Three sections- Workforce Productivity, Precision Therapy and Digital Twin.
ImageVision_ Blog_ AI in Healthcare Unlocking New Possibilities for Disease D...AppsTek Corp
Healthcare has made massive developments and advancements in recent years, particularly in clinical research, biomedical improvement, digital technology, processes, and systems.
However, it nonetheless faces several complications, together with a lack of healthcare workers at the frontlines, an increase in health disparities between nations with various income levels, and a vast quantity of health spending that has not yielded the favored health outcomes. Artificial Intelligence (AI) has emerged as an approach to deal with these challenges, using technologies such as ML – Machine Learning and DL – Deep Learning.
From disease diagnosis to personalized treatment plans, the integration of AI-powered solutions has shown its capability to change the way healthcare works. The ability to process big volumes of information rapidly and appropriately has created new possibilities for enhancing patient care, lowering prices, and enhancing efficiency in the Healthcare system.
In this blog, we will explore How AI is Transforming Healthcare and its impact on both patients and Healthcare providers. let's first delve into the reasons why Healthcare is adopting AI.
Benefits of AI for the Medical Field in 2023.Techugo
AI can assist in medical diagnosis, drug discovery, personalized medicine, and patient monitoring. It can also improve the efficiency of healthcare systems and reduce medical errors.
Here are the Benefits of AI for the Medical Field in 2023 and Beyond.pdfTechugo
A combination of unstoppable forces drives demand: changing patient expectations, population aging, lifestyle changes, and the never-ending innovation cycle are just a few. The implications of an aging population are the most important. One in four North American and European citizens will be 65 years old by 2050
Here are the Benefits of AI for the Medical Field in 2023 and Beyond!.pdfTechugo
Healthcare spending is not growing at all. Healthcare systems can only be sustained with significant structural and transformative changes. According to the World Health Organization, healthcare systems need a greater workforce. Although 40 million jobs could be created by the global economy in the health sector by 2030, the World Health Organization projects that there will still be a 9.9 million shortfall in physicians, nurses, and midwives worldwide over the same time period.
The Potential for Artificial Intelligence in HealthcareLucy Zeniffer
The Potential for Artificial Intelligence in Healthcare" explores how AI revolutionizes patient care, diagnosis, and treatment. From predictive analytics enhancing early disease detection to personalized medicine tailored to individual genetic profiles, AI offers unprecedented opportunities. It streamlines administrative tasks, augments medical research, and improves patient outcomes, promising a transformative impact on the healthcare industry.
Precision Algorithms in Healthcare: Improving treatments with AIDay1 Technologies
It’s 2020 and we can safely say that the year hasn’t been our best or what we wanted it to be like. The alarming spread of COVID-19, and its aftermath has people unrooted and shaken to their toes, and literally everyone is looking at technology and healthcare innovations to find an answer to the pandemic. And fast.
The presentation gives an overview of the integration of artificial intelligence in the field of epidemiology, health analytics, data interpretation and the use of the lgorithms to predictvthe epidemics and related data.
AI and Telemedicine A Perfect Pair for Modern Healthcare Delivery.pdfPranathiSoftware
The healthcare sector can anticipate improved patient outcomes, quicker drug development, and more precise diagnostics through further breakthroughs in AI technology.
Unraveling the Tapestry of Health Informatics: Navigating the Digital Landsca...greendigital
Introduction
In the ever-evolving healthcare landscape, technology integration has become indispensable. Health informatics is a multidisciplinary field combining health science. information technology, and data management, is pivotal in transforming healthcare delivery. improving patient outcomes, and streamlining clinical processes. This article delves into the intricate tapestry of health informatics. exploring its various facets, applications, challenges. and the promising future for the healthcare industry.
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I. Understanding Health Informatics
A. Definition and Scope
Health informatics applies information and computer science to healthcare delivery, management, and planning. It encompasses various technologies and methodologies designed to enhance healthcare information's acquisition, storage, retrieval, and use. The scope of health informatics extends beyond electronic health records (EHRs) to include telemedicine. mobile health (mHealth), health information exchange (HIE), and more.
B. Key Components
1. Electronic Health Records (EHRs)
EHRs serve as digital repositories of patient health information. promoting seamless data sharing among healthcare providers. This section explores the benefits, challenges, and future advancements in EHR systems. emphasizing their role in improving care coordination and patient engagement.
2. Telemedicine and Remote Patient Monitoring
The rise of telemedicine has revolutionized the way healthcare services delivered. Discussing the impact of telemedicine on access to care, patient outcomes. and the challenges associated with its widespread adoption provides a comprehensive overview of this crucial component of health informatics.
II. Applications of Health Informatics
A. Clinical Decision Support Systems (CDSS)
CDSS leverages advanced algorithms and data analytics to assist healthcare providers in making informed decisions. By examining real-world examples and success stories. this section highlights the role of CDSS in enhancing diagnostic accuracy. treatment planning, and patient care.
B. Precision Medicine
It is pivotal in advancing precision medicine. and tailoring treatments based on individual patient characteristics. Explore the integration of genomics, proteomics, and other 'omics' data into clinical practice. shedding light on the potential of personalized medicine in improving treatment outcomes.
C. Public Health Informatics
The intersection of health informatics and public health is vital for disease surveillance. outbreak response, and health promotion. Analyzing the contributions of informatics to public health initiatives provides insights into its role in safeguarding population health.
III. Challenges in Health Informatics
A. Data Security and Privacy
As the volume of health data grows, ensuring patient information security. and privacy becomes a paramount concern. This section delves into the challenges and strategies for safeguarding sensitive health
Overview of Health Informatics: survey of fundamentals of health information technology, Identify the forces behind health informatics, educational and career opportunities in health informatics.
Big data approaches to healthcare systemsShubham Jain
The idea behind this presentation is to explore how big data will revolutionize existing healthcare system effectively by reducing healthcare concerns such as the selection of appropriate treatment paths, quality of healthcare systems and so on. Large amount of unstructured data is available in various organizations (payers, providers, pharmaceuticals). We will discuss all the intricacies involved in massive datasets of healthcare systems and how combination of VPH technologies and big data resulted into some mind-boggling consequences. Major opportunities in healthcare includes the integration of various data pools such as clinical data, pharmaceutical R&D data and patient behaviour and sentiment data. Finding potential insights from big data with the help of medical image processing techniques, predictive modelling etc. will eventually help us to leverage the ever-increasing costs of care, help providers practice more effective medicine, empower patients and caregivers, support fitness and preventive self-care, and to dream about more personalized medicine.
Global launch of the Healthy Ageing and Prevention Index 2nd wave – alongside...ILC- UK
The Healthy Ageing and Prevention Index is an online tool created by ILC that ranks countries on six metrics including, life span, health span, work span, income, environmental performance, and happiness. The Index helps us understand how well countries have adapted to longevity and inform decision makers on what must be done to maximise the economic benefits that comes with living well for longer.
Alongside the 77th World Health Assembly in Geneva on 28 May 2024, we launched the second version of our Index, allowing us to track progress and give new insights into what needs to be done to keep populations healthier for longer.
The speakers included:
Professor Orazio Schillaci, Minister of Health, Italy
Dr Hans Groth, Chairman of the Board, World Demographic & Ageing Forum
Professor Ilona Kickbusch, Founder and Chair, Global Health Centre, Geneva Graduate Institute and co-chair, World Health Summit Council
Dr Natasha Azzopardi Muscat, Director, Country Health Policies and Systems Division, World Health Organisation EURO
Dr Marta Lomazzi, Executive Manager, World Federation of Public Health Associations
Dr Shyam Bishen, Head, Centre for Health and Healthcare and Member of the Executive Committee, World Economic Forum
Dr Karin Tegmark Wisell, Director General, Public Health Agency of Sweden
One of the most developed cities of India, the city of Chennai is the capital of Tamilnadu and many people from different parts of India come here to earn their bread and butter. Being a metropolitan, the city is filled with towering building and beaches but the sad part as with almost every Indian city
Defecation
Normal defecation begins with movement in the left colon, moving stool toward the anus. When stool reaches the rectum, the distention causes relaxation of the internal sphincter and an awareness of the need to defecate. At the time of defecation, the external sphincter relaxes, and abdominal muscles contract, increasing intrarectal pressure and forcing the stool out
The Valsalva maneuver exerts pressure to expel faeces through a voluntary contraction of the abdominal muscles while maintaining forced expiration against a closed airway. Patients with cardiovascular disease, glaucoma, increased intracranial pressure, or a new surgical wound are at greater risk for cardiac dysrhythmias and elevated blood pressure with the Valsalva maneuver and need to avoid straining to pass the stool.
Normal defecation is painless, resulting in passage of soft, formed stool
CONSTIPATION
Constipation is a symptom, not a disease. Improper diet, reduced fluid intake, lack of exercise, and certain medications can cause constipation. For example, patients receiving opiates for pain after surgery often require a stool softener or laxative to prevent constipation. The signs of constipation include infrequent bowel movements (less than every 3 days), difficulty passing stools, excessive straining, inability to defecate at will, and hard feaces
IMPACTION
Fecal impaction results from unrelieved constipation. It is a collection of hardened feces wedged in the rectum that a person cannot expel. In cases of severe impaction the mass extends up into the sigmoid colon.
DIARRHEA
Diarrhea is an increase in the number of stools and the passage of liquid, unformed feces. It is associated with disorders affecting digestion, absorption, and secretion in the GI tract. Intestinal contents pass through the small and large intestine too quickly to allow for the usual absorption of fluid and nutrients. Irritation within the colon results in increased mucus secretion. As a result, feces become watery, and the patient is unable to control the urge to defecate. Normally an anal bag is safe and effective in long-term treatment of patients with fecal incontinence at home, in hospice, or in the hospital. Fecal incontinence is expensive and a potentially dangerous condition in terms of contamination and risk of skin ulceration
HEMORRHOIDS
Hemorrhoids are dilated, engorged veins in the lining of the rectum. They are either external or internal.
FLATULENCE
As gas accumulates in the lumen of the intestines, the bowel wall stretches and distends (flatulence). It is a common cause of abdominal fullness, pain, and cramping. Normally intestinal gas escapes through the mouth (belching) or the anus (passing of flatus)
FECAL INCONTINENCE
Fecal incontinence is the inability to control passage of feces and gas from the anus. Incontinence harms a patient’s body image
PREPARATION AND GIVING OF LAXATIVESACCORDING TO POTTER AND PERRY,
An enema is the instillation of a solution into the rectum and sig
QA Paediatric dentistry department, Hospital Melaka 2020Azreen Aj
QA study - To improve the 6th monthly recall rate post-comprehensive dental treatment under general anaesthesia in paediatric dentistry department, Hospital Melaka
CHAPTER 1 SEMESTER V PREVENTIVE-PEDIATRICS.pdfSachin Sharma
This content provides an overview of preventive pediatrics. It defines preventive pediatrics as preventing disease and promoting children's physical, mental, and social well-being to achieve positive health. It discusses antenatal, postnatal, and social preventive pediatrics. It also covers various child health programs like immunization, breastfeeding, ICDS, and the roles of organizations like WHO, UNICEF, and nurses in preventive pediatrics.
We understand the unique challenges pickleball players face and are committed to helping you stay healthy and active. In this presentation, we’ll explore the three most common pickleball injuries and provide strategies for prevention and treatment.
How many patients does case series should have In comparison to case reports.pdfpubrica101
Pubrica’s team of researchers and writers create scientific and medical research articles, which may be important resources for authors and practitioners. Pubrica medical writers assist you in creating and revising the introduction by alerting the reader to gaps in the chosen study subject. Our professionals understand the order in which the hypothesis topic is followed by the broad subject, the issue, and the backdrop.
https://pubrica.com/academy/case-study-or-series/how-many-patients-does-case-series-should-have-in-comparison-to-case-reports/
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
Pediatric nurses play a vital role in the health and well-being of children. Their responsibilities are wide-ranging, and their objectives can be categorized into several key areas:
1. Direct Patient Care:
Objective: Provide comprehensive and compassionate care to infants, children, and adolescents in various healthcare settings (hospitals, clinics, etc.).
This includes tasks like:
Monitoring vital signs and physical condition.
Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
Providing emotional support and pain management.
2. Health Promotion and Education:
Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
Administering vaccinations.
Providing education on nutrition, hygiene, and development.
Offering breastfeeding and childbirth support.
Counseling families on safety and injury prevention.
3. Collaboration and Advocacy:
Objective: Collaborate effectively with doctors, social workers, therapists, and other healthcare professionals to ensure coordinated care for children.
Objective: Advocate for the rights and best interests of their patients, especially when children cannot speak for themselves.
This includes tasks like:
Communicating effectively with healthcare teams.
Identifying and addressing potential risks to child welfare.
Educating families about their child's condition and treatment options.
4. Professional Development and Research:
Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
Antibiotic Stewardship by Anushri Srivastava.pptxAnushriSrivastav
Stewardship is the act of taking good care of something.
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
WHO launched the Global Antimicrobial Resistance and Use Surveillance System (GLASS) in 2015 to fill knowledge gaps and inform strategies at all levels.
ACCORDING TO apic.org,
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
ACCORDING TO pewtrusts.org,
Antibiotic stewardship refers to efforts in doctors’ offices, hospitals, long term care facilities, and other health care settings to ensure that antibiotics are used only when necessary and appropriate
According to WHO,
Antimicrobial stewardship is a systematic approach to educate and support health care professionals to follow evidence-based guidelines for prescribing and administering antimicrobials
In 1996, John McGowan and Dale Gerding first applied the term antimicrobial stewardship, where they suggested a causal association between antimicrobial agent use and resistance. They also focused on the urgency of large-scale controlled trials of antimicrobial-use regulation employing sophisticated epidemiologic methods, molecular typing, and precise resistance mechanism analysis.
Antimicrobial Stewardship(AMS) refers to the optimal selection, dosing, and duration of antimicrobial treatment resulting in the best clinical outcome with minimal side effects to the patients and minimal impact on subsequent resistance.
According to the 2019 report, in the US, more than 2.8 million antibiotic-resistant infections occur each year, and more than 35000 people die. In addition to this, it also mentioned that 223,900 cases of Clostridoides difficile occurred in 2017, of which 12800 people died. The report did not include viruses or parasites
VISION
Being proactive
Supporting optimal animal and human health
Exploring ways to reduce overall use of antimicrobials
Using the drugs that prevent and treat disease by killing microscopic organisms in a responsible way
GOAL
to prevent the generation and spread of antimicrobial resistance (AMR). Doing so will preserve the effectiveness of these drugs in animals and humans for years to come.
being to preserve human and animal health and the effectiveness of antimicrobial medications.
to implement a multidisciplinary approach in assembling a stewardship team to include an infectious disease physician, a clinical pharmacist with infectious diseases training, infection preventionist, and a close collaboration with the staff in the clinical microbiology laboratory
to prevent antimicrobial overuse, misuse and abuse.
to minimize the developme
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
Welcome to Secret Tantric, London’s finest VIP Massage agency. Since we first opened our doors, we have provided the ultimate erotic massage experience to innumerable clients, each one searching for the very best sensual massage in London. We come by this reputation honestly with a dynamic team of the city’s most beautiful masseuses.
Optimising maternal & child healthcare in India through the integrated use of Artificial Intelligence, Big Data and Telemedicine.
1. Optimizing Maternal and Child Healthcare in India through
the Integrated use of Artificial Intelligence, Big Data and
Telemedicine: A Literature Review
Vedang Tyagi1
, Skannd Tyagi2
, Mahak Agarwal3
1
Medical Intern, Shri Ram Murti Smarak Institute of Medical sciences, Bareilly, 2
Director, E Info
Solutions, 3
Junior Resident, Shri Ram Murti Smarak Institute of Medical sciences, Bareilly
ABSTRACT
Introduction: The Maternal Mortality Rate (MMR) and the Infant Mortality Rate (IMR) of India are an
alarming 174/1,00,000 live births and 34/1000 live births. This is a result of poor quality and inaccessible
healthcare. This literature attempts to review the published works offering a solution to this issue with
reference to Artificial intelligence, telemedicine, big data and their integration.
Objectives: To review the published literature regarding use of artificial intelligence, big data and
telemedicine in healthcare to offer a solution to reduce the MMR and IMR. The use of technology for
optimizing maternal and infant health-care has not been studied in India.
Method: Literature search using keywords Artificial intelligence, e-health and big data analysis was
performed.
Result and Discussion: It was seen that such integration is being utilized to improve healthcare in various
countries across the world. In India however, such application has not been envisaged.
Conclusion: The use of such integration has been beneficial in optimizing healthcare, albeit requires further
clinical evaluation.
Keywords: Artificial Intelligence, digital healthcare, technology, telemedicine, EMR, analytics, big data
INTRODUCTION
In India, the Doctor: Patient ratio is an alarming
0.68:1000 in an estimated population of 1.33 billion,
whereas the WHO prescribes a ratio of 1:10001
. This
ratio proportionately affects the quality and availability
of healthcare; despite various efforts by the government,
there is still a lag in the healthcare system. The Maternal
Mortality rate and Infant Mortality rate of India are
174/1,00,000 live births2
and 34/1000 live births3
respectively. Majority of these deaths occur due to
preventable causes in rural areas due to limited access
and poor quality of healthcare. Such variables can be
rectified with the use of technology.
The amalgamation of medicine and technology is
being explored for decades. Today, the world is looking
at Artificial intelligence, big data, telemedicine and
personalized medicine etc
Artificial Intelligence was coined in the year
1956 and has ever since made surmountable progress
in various countries. Google’s Deepmind health
project, IBM’s Medical Sieve and Watson have been
revolutionizing healthcare for both doctors and patients.
AI will become a major enabler of precision medicine
which will help doctors evaluate and treat the patient
and predict patient outcome with utmost certainty. AI in
healthcare uses algorithms and software to approximate
human cognition in the analysis of complex medical
data. In India, AI can be utilized to areas with scarce
human resources. AI can be used to carry out an efficient
Antenatal care process for the mother by managing
their data, storage of information of the mother for easy
access, prompt diagnosis and effective management of
any complication. After delivery, new-born care can also
be initiated, maintenance of documents, immunization
records, identification of danger signs and early approach
to treatment.
DOI Number: 10.5958/0976-5506.2018.00512.0
2. Indian Journal of Public Health Research & Development, May 2018, Vol.9, No. 5 97
Telemedicine is the use of electronic information
to communicate problems when the participants are at
a distance. Telemedicine can be applied to a wide array
of clinical settings, including disease diagnosis, triage,
management and follow up4
. Though telemedicine
has become very common, its integration along with
AI will solve the issue of scarce human resources and
inaccessibility.
Big data is a term that describes the large volume of
data – both structured and unstructured – that inundates a
business on a day-to-day basis. Big data can be analysed
for insights that lead to better decisions and strategic
business moves5
. The application of Big Data in the
field of medicine in India is ideal, given the enormous
volume of data, both present and future. It can be utilised
to standardize treatment and diagnostics. It will help by
increasing efficiency of monitoring of patients. This
will enable follow up and revising treatment easier and
accurate. Not to forget the recent application of big data
to curb the spread of Ebola virus in Africa6
.
We aim to analyze the scenario of such work
globally and theorize the impact that such technology
can have in India
METHODOLOGY
Literature search was performed using the key
words telemedicine, artificial intelligence, big data,
and technology in medicine. Inclusion criteria: Papers
showcasing the application of Artificial intelligence,
big data and telemedicine in healthcare. Exclusion
criteria: Papers on AI and big data out of the scope of
healthcare. The articles were reviewed on the basis of
the applicability in healthcare.
RESULT
Artificial Intelligence: Researchers at Google were
able to train an AI to detect spread of breast cancer into
lymph node tissue on microscopic images with accuracy
comparable to (or greater than) pathologists. Looking
for tiny deposits of cancer on a specimen slide can be
challenging. Whereas a human pathologist might suffer
from fatigue or inattention, the AI can process gigapixel
images without breaking a sweat.
Study conducted by Arrieta et al suggests it is
possible to reduce maternal mortality through the use
of logistic regression7
. In 2016, Atomwise launched
a virtual search for safe, existing medicines that could
be redesigned to treat the Ebola virus. This analysis,
which typically would have taken months or years,
was successfully completed in less than 1 day. Mesko
also suggests that AI lays the foundation for precision
medicine8
. In 2017 a neural network was successfully
used to differentiate images of benign and malignant
skin tumours in the US9
. An algorithm based on deep
machine learning had high sensitivity and specificity for
successfully detecting referable diabetic retinopathy10
.AI
is also suggested to augment the efficiency and accuracy
of radiologists and Imaging results respectively11
.
Korea has been a very active participant in promoting
AI in healthcare. Dr. Choi has corroborated the same
with various articles on IBM Watson12
. Similarly use
of deep learning for diagnosis of cancer using imaging
has been seen in Korea13
. According to Crawford et al,
AI has been successfully used to detect lymph node
metastasis in Prostate carcinoma using Gleason’s sum
and PSA by establishing a low cut off value14
. Telestroke
is an initiative that integrates Artificial intelligence with
telemedicine to treat stroke15
.
However, in spite of earlier optimism, medical AI
technology has not been embraced with enthusiasm. One
reason for this is the attitude of the clinicians towards
technology being used in the decision-making process16
.
There are set-backs in the application of healthcare AI
like ethical issues. The regulations to protect patient
privacy may create legal barriers to the flow of patient
data to applications.
Telemedicine: According to a study, telemedicine
has become an invaluable tool in middle and low
income group nations for diagnosis17
. The Department
of Information Technology (DIT) has formulated a
proposal to establish 100,000 common service centres
(CSCs) in rural areas, which will serve as the front end
for most government18
. The best example of effective
telemedicine was given by Amrita telemedicine
programme which performed telesurgery in remote
locations and also successfully reduced unnecessary
referrals, control of diabetes in pregnancy of mothers
in Lakshadweep and cancer treatment of patients in
Leh19
. Telemedicine also played a vital role in the 2004
tsunami20
. ISRO has been instrumental in delivering
healthcare to various rural areas by setting up satellites
to nodal centers 21
. Telemedicine has been successful
3. 98 Indian Journal of Public Health Research & Development, May 2018, Vol.9, No. 5
in delivering healthcare to children in rural areas as
per Marcin et 22
. Telemedicine has shown a decrease in
hospital emergency admission rates and mortality23
.
Telemedicine can help the patients who can’t travel
long distances24
. A computer based health care system
has shown to improve patient’s quality of life and better
dissemination of healthcare25
. Alpana et al proposed a
model that integrates telemedicine with ambulance
services, named as “Hospital-on-the-go” which promises
to deliver efficient healthcare to rural areas15
.
The challenges yet to overcome are Perspective of
medical practitioners, Patients’ fear and unfamiliarity,
financial unavailability, Lack of basic amenities, Literacy
rate and diversity in languages, Technical constraints
and Quality aspect26
.
Big data: One of the most important implications of
big data is the accurate prediction and tracking of major
outbreaks and emergencies which can help disseminate
better quality of healthcare hence, paving the way for
precision medicine27
.
Big data leads the path to emergency medicine as
shown by a study conducted by Wong et al.28
Ram et al
used big data analysis to predict the acute asthma related
emergency room admissions.29
One of the best examples
was shown by the study conducted by Ginsberg et al
who used google query data to predict epidemics of
influenza30
. Concurrently predictions for various medical
conditions can be made and pre-emptive actions taken.
Currently China is utilizing big data analytics to set up
an efficient healthcare system31
.
Big data is the future of epidemiological studies as it
can efficiently remove bias and work with both structured
and unstructured data sets32
. The Cancer Genome Atlas
utilised large sets of data and developed algorithms to
analyse it resulting in the availability of 37 types of
genomes and clinical data for 33 types of cancers33
.
Studies conducted by Barretina et al34
explore the
application of big data in pharmacogenetics through
testing drug sensitivity on cancer cells. Anticipation of
complications is another aspect big data can address,
thereby increasing preparedness. KPNC (Kaiser
Permanente Northern California) early-onset Neonatal
sepsis and emergency department composite score
pilots take advantage of big-data methodologies. Teams
of clinicians are developing work flows that integrate
big-data components (real-time risk estimates) with
traditionalcomponents(suchasclinicalexaminationsand
care pathways).35
Big data can help increase diagnostic
accuracy, decrease paper-load for a doctor, improve
prognosis and reduce work load of radiologists36
.
The potential of big data in healthcare lies in
combining traditional data with new forms of data. If,
for example, pharmaceutical developers could integrate
population clinical data sets with genomics data, it could
facilitate gaining approvals on more and better drug
therapies more quickly than in the past and expedite
distribution. The prospects for all areas of health- care
are infinite37
.
Medical big data has several distinctive features that
are different from big data from other disciplines. It is
frequently hard to access and most investigators in the
medical arena are hesitant to practice open data science
for reasons such as the risk of data misuse by other
parties and lack of data-sharing incentives. It is often
collected based on protocols and are relatively structured.
Another important feature is that medicine is practiced
in a safety critical context in which decision-making
activities should be supported by explanations. It can be
further affected by several sources of uncertainty, such
as measurement errors, missing data, or errors in coding
the information buried in textual reports. Therefore, the
role of the domain knowledge may be dominant in both
analyzing the data and interpreting the results38
.
CONCLUSION
The proliferation of technology over the past 2
decades has made it possible for humanity to solve
mass problems with the help of machines. Technologies
presented in this paper will allow the healthcare system
to work with a more streamlined and well informed
approach.
How will this help optimize maternal and child care?
Setting up of telemedicine centers in remote
locations, pregnant women and children will be screened
using AI specific for common causes of mortality and
process basic diagnostic tests. All gathered data will be
stored and analysed using big data analytics and further
plan of action can be decided. This will allow prediction
of complications by identifying set patterns which will
lay down the plan of future action.
4. Indian Journal of Public Health Research & Development, May 2018, Vol.9, No. 5 99
Further, all collected data can calculate various
indices such as maternal mortality rate and Infant
mortality rate. The collected data will be stored on the
Cloud, allowing seamless access. The patients will be
a given a registration number; they need not carry any
prescriptions/reports for future visits.
Both antenatal and postnatal care can be delivered
in remote locations with limited accessibility and low
manpower. The AI will be programmed to identify
clinical feature and analyze investigations in both
mother and child to form a diagnosis and provide scope
for treatment. Big data will process Patient particulars,
Clinical data/history, Investigations and AI will utilize
this data set to evaluate the indices and predictions.
AI, Big Data, Machine Learning combined with
corresponding dispensation mechanism once deployed
will provide an exponential spike in the current
performance indices of women and child healthcare in
India.
Conflict of Interest: None
Source of Funding: None
Ethical Clearance: Not required as it is not an
experimental study
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