Chronic Disease Management Archives - InnoHEALTH magazine

The Path to Improving Patient Care: Applying AI to Chronic Disease management

Khushi Khandelwal — Thu, 16 Jan 2025 06:30:00 +0000

The United States has been on the path of decline in terms of public health for a few decades now. With chronic cardiovascular disease on the rise now more than ever before, millions of Americans are now affected by life-threatening conditions. This has also put unprecedented pressure on the healthcare system.

Amongst the chaos, Artificial Intelligence (AI) has emerged as a powerful solution. Its ability to churn through large amounts of raw data and present new techniques for managing chronic conditions has been a godsend. We will look at the implementation of AI in patient care and what it holds in the future in this article.

Revolutionizing Patient Monitoring and Care

AI technology is making healthcare organizations rethink how to monitor and manage chronic conditions. Advanced algorithms can analyze patient data in real-time, identifying subtle patterns and potential complications before they become severe. This predictive capability enables healthcare teams to intervene proactively rather than reactively, potentially preventing hospital readmissions and improving patient outcomes.

For instance, AI-powered remote monitoring systems can track vital signs, medication adherence, and lifestyle factors, providing healthcare providers with comprehensive insights into their patients’ health status. These systems can automatically flag concerning trends or symptoms, allowing for timely interventions and adjustments to treatment plans.

Enhancing Clinical Decision Support

One of AI’s most significant contributions to chronic disease management is its ability to process and analyze vast amounts of medical data. By examining patient records, research papers, and clinical guidelines, AI systems can provide evidence-based recommendations to healthcare providers, supporting more informed decision-making.

These intelligent systems can:

Predict patient risk levels for various complications
Suggest personalized treatment adjustments based on patient response
Identify potential drug interactions
Recommend preventive measures based on individual patient profiles

Streamlining Administrative Tasks

Healthcare providers often spend considerable time on administrative tasks, limiting their ability to focus on direct patient care. AI automation can significantly reduce this burden by:

Automating appointment scheduling and reminders
Managing documentation and electronic health records
Processing insurance claims
Organizing and prioritizing patient communications

This efficiency gain allows healthcare professionals to dedicate more time to meaningful patient interactions and complex clinical decisions.

Empowering Patient Self-Management

AI-powered applications and devices are revolutionizing how patients manage their chronic conditions. Smart apps can provide personalized recommendations, medication reminders, and lifestyle guidance based on individual health data and goals. These tools help patients become more engaged in their healthcare journey and maintain better control over their conditions.

While it’s normal to be wary of AI’s role in enhancing patient care, one thing is certain—these technologies can’t replace real, human connection between patients and their care providers. The healthcare sector will always need doctors, nurses, and graduates of direct entry MSN programs and other healthcare courses.

Challenges and Considerations

Despite its potential, implementing AI in chronic disease management comes with important considerations. The technology is certainly not fully fleshed out yet and it is too early to integrate end-to-end AI systems.

Data Privacy and Security

Healthcare organizations must ensure robust protection of sensitive patient information while utilizing AI systems.

Integration with Existing Systems

Successful implementation requires seamless integration with current electronic health records and workflows.

Training and Adoption

Healthcare providers need proper training to effectively use AI tools and understand their limitations.

Future of AI in Healthcare

The future of chronic disease management lies in the thoughtful integration of AI technologies with traditional healthcare practices. As these systems become more sophisticated, they will continue to enhance the quality of care while reducing the burden on healthcare providers.

Healthcare organizations that embrace AI while maintaining focus on the human elements of care will be best positioned to meet the growing challenges of chronic disease management. By leveraging these technologies effectively, providers can create more efficient, personalized, and successful treatment approaches for their patients with chronic conditions.

The key to success lies in viewing AI not as a replacement for healthcare providers but as a powerful tool that enhances their capabilities and allows them to deliver better care to more patients. As technology continues to evolve, the partnership between healthcare providers and AI will become increasingly important in addressing the complex challenges of chronic disease management.

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Advantages & Disadvantages : Real Time Health Monitoring Devices

InnoHEALTH Magazine — Tue, 27 Nov 2018 10:25:59 +0000

Real-time health monitoring devices provide real-time analysis of the patient’s health parameters. Patients are sharing their healthcare information in real time with their caregivers through these devices for flexible health monitoring and management. Internet of medical things is vastly improving the healthcare condition of patients.

“Reacts’ secure, versatile and interactive collaboration platform deployed on technology solutions like Philips Lumify can change education and patient care models and enable a positive disruptive change to healthcare,” Dr. Yanick Beaulieu, CEO and Founder of IIT, said in a statement. “For years, clinicians in the field have been trying to piece together systems that offer real-time, interactive teleultrasound capabilities. Now, it has truly arrived.”

Tracking patient monitoring and drug management has become possible because of the usage of the above Internet of Things (IoT) medical devices in the healthcare sector. Increasing aging population, surging healthcare expenses and an increase in the occurrence of chronic diseases is driving healthcare stakeholders to follow remote health management and patient monitoring seriously.

The global market for Real-Time Health Monitoring Devices is expected to reach USD 67,982.2 mil by 2022.

Segments: Global Real Time Health Monitoring Devices Market has been segmented on the basis of the type which comprises of wearable devices, home health medical devices. On the basis of the end user, the market is segmented into hospitals, clinics, ambulatory centers, and home care settings.

Incorporating Real-Time Health Monitoring Devices in chronic disease management can significantly improve an individual’s quality of life. It allows patients to maintain independence, prevent complications and minimize personal costs. RPM facilitates these goals by delivering care right to the home. In addition, patients and their family members feel comfortable knowing that they are being monitored and will be supported if a problem arises. This is particularly important when patients are managing complex self-care processes such as home hemodialysis. Key features of Real-Time Health Monitoring Devices, like remote monitoring and trend analysis of physiological parameters, enable early detection of deterioration; thereby, reducing the number of emergency department visits, hospitalizations, and duration of hospital stays. The need for wireless mobility in healthcare facilitates the adoption of RPM both in the community and institutional settings. The time saved as a result of RPM implementation increases efficiency and allows healthcare providers to allocate more time to remotely educate and communicate with patients.

Technological components of Real-Time Health Monitoring Devices

The diverse applications of RPM lead to numerous variations of RPM technology architecture. However, most RPM technologies follow a general architecture that consists of four components.
Sensors on a device that is enabled by wireless communications to measure physiological parameters.
Local data storage at patients’ site that interfaces between sensors and other centralized data repository and/or healthcare providers.
Centralized repositories to store data sent from sensors, local data storage, diagnostic applications, and/or healthcare providers.
Diagnostic application software that develops treatment recommendations and intervention alerts based on the analysis of collected data.
Depending on the disease and the parameters that are monitored, different combinations of sensors, storage and applications may be deployed.

Application of Real Time Health Monitoring Devices Physiological data such as blood pressure and subjective patient data are collected by sensors on peripheral devices. Examples of peripheral devices are blood pressure cuff, pulse oximeter, and glucometer. The data are transmitted to healthcare providers or third parties via wireless telecommunication devices. The data are evaluated for potential problems by a healthcare professional or via a clinical decision support algorithm, and patient, caregivers and health providers are immediately alerted if a problem is detected. As a result, timely intervention ensures positive patient outcomes. The newer applications also provide education, test, and medication Advantages and Disadvantages of Real-Time Health Monitoring Devices reminder alerts, and a means of communication between the patient and the provider. The following section illustrates examples of RPM applications, but RPM is not limited to those disease states.

Real-Time Health Monitoring Devices – Limitations and Overcome Real-Time Health Monitoring Devices are highly dependent on the individual’s motivation to manage their health. Without the patient’s willingness to be an active participant in their care, Real-Time Health Monitoring Devices implementation will likely fail. Cost is also a barrier to its widespread use. There is a lack of reimbursement guidelines for RPM services, which may deter its incorporation into clinical practice. The shift of accountability associated with RPM brings up liability issues. There are no clear guidelines with respect to whether clinicians have to intervene every time they receive an alert regardless of the urgency. The continuous flow of patient data requires a dedicated team of healthcare providers to handle the information, which may, in fact, increase the workload. Although technology is introduced with the intent to increase efficiency, it can become a barrier to some healthcare providers that are not technological.

There are common obstacles that health informatics technologies encounter that applies to Real-Time Health Monitoring Devices. Depending on the comorbidities monitored, Real-Time Health Monitoring Devices involves a diverse selection of devices in its implementation. Standardization is required for data exchange and interoperability among multiple components. Furthermore, Real-Time Health Monitoring Devices deployment is highly dependent on an extensive wireless telecommunications infrastructure, which may not be available or feasible in rural areas.

Note – this article has been contributed by -Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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Insomnia – A Short Communication Study

InnoHEALTH Magazine — Tue, 15 May 2018 05:15:52 +0000

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Dr Tinni Dutta at Asutosh College, Kolkata, is eminent Psychologist and a famous educationist. Greatly appreciated her research work in India and aboard. She has visited U.S.A, U.K, Switzerland, France, Germany, Thailand, Singapore and Indonesia. She is a recipient of many awards and fellowship.

The impact of stress on physical health varies between diseases. Chronic or severe stress can lead to a variety of mental health problems-post traumatic stress disorder, anxiety, depression, insomnia and different types of psychosomatic disorder. The field of sleep disorder medicine has progressed to a great extent. Sedatives, Hypnotics and Anxiolytics are used for ameliorating these symptoms. But medicine alone cannot do much. Urgent counselling is needed in Yoga and meditations, as we find in DSM V (Diagnostic Criteria) sleep-wake disorders are intended for use by general mental health and medical clinicians.

It encompasses 10 disorders or disorder groups: insomnia disorder, hypersomnolence disorder, narcolepsy, breathing-related sleep disorder, circa din rhythm sleep-wake disorders, non-rapid eye movement (NREM), sleep arousal disorders, restless leg syndrome, and substance/medication-induced sleep disorder. In this article, we would limit our discussion only on Insomnia.

Caution! Energy Drinks Not Safe for Kids

Pathways between stress and disease
I. A predominant complaint of dissatisfaction with sleep quantity and quality, associated with one of the following symptoms:
• Difficulty initiating sleep
• Difficulty maintain sleep, characterized by frequent awakening
• Early – morning awakening with inability to return to sleep.
II. The sleep disturbance clinically significant distress or impairment in social, occupational, educational, academic, behavioural or other important areas of functioning.
III. The sleep difficulty occurs at least 3 nights per week.
IV. The sleep difficulty is present at least for 3 months.
V. The sleep difficulty occurs despite adequate opportunity for sleep.
VI. The insomnia is not better explained by and does not exclusively during the course of another sleep-related disorder.
VII. The insomnia is not attributable to the physiological effects of a substance
VIII. Coexisting mental disorder and medical conditions do not adequately explain the predominant complaints of insomnia.

Different manifestations of insomnia can occur at different times of sleep period. Sleep onset insomnia involves difficulty initiating sleep at bedtimes. Sleep maintenance insomnia refers to frequent or prolonged awakenings throughout the night. Late insomnia involves early – morning awakening with an inability to return to sleep.

Insomnia is related to sleep physiological and cognitive arousal which interferes with sleep. The more an individual strives to sleep, the more frustration builds. The more impairs sleep. It is also associated with other psychological complaints like fatigue, boredom decreased energy and mood disturbances.

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Hospitals designing bats for a fresh look

InnoHEALTH Magazine — Tue, 01 May 2018 05:49:51 +0000

Planning and Designing Healthcare Facilities
A lean, innovative, and evidence-based approach
Book written by Dr. V.K. Singh & Prof. Paul Lilrank

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Hitting newsstands in the United States of America and India simultaneously, A New Book–Planning and Designing Healthcare Facilities: A Lean, Innovative and Evidence based approach by Dr V.K. Singh and Prof. Paul Lillrank call for a fresh approach in designing new age hospitals in the wake of emerging new normal in the healthcare sector.

Authors say modern medicine is founded on the scientific pursuit for knowledge about the human body and its pathologies. Science builds theories and tests them against evidence. The scientific method should now be applied to the design of hospitals and health service systems. This is the rationale for evidence – based design.

According to authors, lean and innovation complement each other. Lean means creating more value for customers with fewer resources. Innovation is a process of translating an idea into goods or services that create value for which customer is ready to pay. The General Hospital is still a valid concept and is not going to disappear anytime soon, particularly in parts of the world where public health is poor, resources are scarce, and a majority of people is underserved. While visions are always welcome, the task at hand, and the theme of this book, is to improve on the Dominant Design, the standard General Hospital.

Evidence-based design (EBD) emphasizes credible evidence to influence design. It works on well-defined problems, applies a multidisciplinary perspective, involves users and customers, establishes quantitative performance measures for critical variables, and uses tests and simulations throughout the design process.

Prof. Lillrank along with Riikka-Leena Leskelä and Olli Tolkki say the hospital has traditionally been seen as a production site like a factory where flows of material, people, energy and information combine with fixed assets. In modern manufacturing, the factory has evolved into supply networks. In a similar vein, the modern hospital is seen as a node in a regional service system. A hospital design initiative should therefore begin with a master plan that defines the hospital’s place and role in a broader health service system.

Dr. Singh in a chapter on ‘Patient First, Functions Next and Design Later’ along with Mr. S K Biswas says the evolution of hospital design principles has gone through stages.

The first was ‘functions follow design’, as services had to be adapted to whatever structures were available. Next came ‘design follows functions’. Various professional groups lined out their requirements in terms of floor space and layout. More recently, the concept ‘Design follows first patients, then functions’ has been adopted. The emphasis now is on integrating the needs of patients, hospital functions, and functionaries in hospital design.

In a chapter, ‘Green Hospitals and Sustainable solution to Healthcare Facility’, Mr. Rajeev Boudhankar says as important parts of the modern urban landscape, hospitals must adopt environmentally friendly and sustainable designs and technologies. Green hospitals use energy, water, materials and land more efficiently than conventional buildings.

With more natural light and better air quality, green buildings contribute to improved health, comfort, and productivity. The LEED 2009 for Healthcare Green Building Rating System is a set of performance standards for certifying healthcare facilities.

In ‘Designing a Patient-centric Healthcare Facility Using Lean Methodology’, Mr. John Gallagher, Kim Chaney and Ron Kwon say 2P (Process Preparation) is a Lean design tool that helps to organize the flow of activity in a way that results in the least amount of waste. This chapter details how it worked when Concord Hillside Medical Associates, a multi-specialty group practice part of Harvard Vanguard Medical Associates near Boston, applied it in a major facility design project.

Likewise, in an article on ‘Creating safer healthcare environments using an evidence-based design process, Dr. Anjali Joseph, Ellen Taylor and Xiaobo Quan say a growing body of research shows that the healthcare built environment impacts safety outcomes such as infections, medication errors, falls, and staff injuries. Latent conditions that adversely impact patient safety are built into the physical environment during the planning, design, and construction phases. Design decisions should be proactively evaluated by engaging users from different disciplines such as infection control, nursing, risk managers, and environmental services. Emerging tools such as the Safety Risk Assessment (SRA) toolkit provide a structured way to apply evidence-based design to improve patient safety.

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Dr. Singh and Dr. Biswas in another chapter on ‘Evidence Based Design in Hospitals – Theory to Implementation’ opine that the principles of Lean Healthcare support Evidence Based Design. Lean calls for the identification of all major stakeholders and specifying what they consider valuable. Stakeholder value can be grouped into the basic categories tangibility, reliability, responsiveness, assurance and empathy. When these requirements are not met, processes create waste.

EBD analyze the constraints that need to be addressed. The design process covers several stages, initial hypothetical design, process design, service design, and empirical design. These principles are detailed in a case in a hospital in Kolkata.

On Virtual Hospitals of Future, IT expert Sachin Gaur says the Information and Communication Technologies (ICT), particularly smart and wearable devices, have the potential to break constraints of time and location. Physical installations may turn virtual, and centralized services may be decentralized. Assessing the potential of new technologies, the CIMO -methodology of Evaluation Science can be employed. It asks the questions, what is the context in which technology is applied through what kinds of interventions, and which mechanisms are activated to produce which outcomes?

On ‘Redefining Healthcare of Tomorrow in Smart City’, Dr Singh and Ms. Nimisha Singh say the three pillars of the smart city are-people, process, technology, and the information flows that bind them together as an optimized whole. The Smart Cities Mission under the leadership of Prime Minister Narendra Modi is an initiative towards urbanization. Smart cities require smart healthcare.

With the Internet of things (IoT), layers of smartness are being added to the hospitals, such as remote monitoring, chronic disease management, medication management, patient self-management, and workflow management.

In a Chapter titled ‘Delivering Inclusive Intelligent Healthcare’ by Innovative and Comprehensive e-Health System, Dr. Kuo Shou-Jen and Lai Chien-Wen aver that the chapter is based on a case study of Changhua Christian Healthcare System (CCH), Taiwan. CCH has been a pioneer in implementing sophisticated new technologies. The case emphasizes the importance of the combination of high tech with human touch.

In a chapter on ‘Planning Safe Hospitals’, Ms. Sushma Guleria says that the Hyogo Framework for Action 2005-2015 (HFA) spells out the challenge to substantially reduce the impact of disasters and to make risk reduction an essential component of development policies and programs. Risk reduction planning should be integrated into the health sector to make hospitals safe from disasters and strengthen their capacity to remain functional in disaster situations. Hospitals need to have disaster management plans and to evaluate their performance by implementing the Hospital Safety Index used widely to gather information for sound decision making.

In an article on ‘Designing Innovative Facilities: Contamination & Security Hazards at Hospitals’, Dr. Singh along with Dr. Raman Chawala emphasis on the danger of chemical, biological, radiological, nuclear and explosive (CBRNE) related terrorism which pose a contamination threat to healthcare institutions. Designing innovative resilience can provide long term and effective solutions by establishing a rigorous framework that can accelerate adaptation and ability to recover from any known and unknown contamination security and safety hazards.

‘Adapt or Obsolesce: The evolution of the Singapore Health System’, Matthew Saunders said Singapore is an advanced country of small size with a single party dominated political system. This has made it agile and able to respond quickly to changing circumstance in ways that differ from larger and more complex polities. Singapore faces the same challenges as other developing countries, including ageing society, non-communicable diseases and healthcare cost inflation, while it is well positioned to implement advanced technologies, such as electronic patient records and smart solutions. Singapore highlights the systemic nature of healthcare, where service production, facility design, finance, and regulation require innovative approaches to integration.

Dr. B. R. Shetty, Founder and Chairman, NMC Healthcare, Abu Dhabi, United Arab Emirates in his foreword said, “The book is a timely effort to discuss various concepts and tools to reduce delivery costs and maintain high quality by the means of planning a hospital with an eye on operations. It details experiences from around the globe. The authors strive to integrate several strains of thought: Lean, Innovation, Patient Centricity, and Evidence–based designs. This is what the healthcare industry needs.

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