Digital Healthcare
Article | November 29, 2023
With their speed and maneuverability, drones have long captured attention for their potential to deliver shopping orders and photograph the world from above. But the machines can also serve a medical purpose by shuttling drugs, defibrillators and other equipment to emergency sites or care facilities. Improvements in battery life, GPS navigation and artificial intelligence functions are making drones a more practical option in healthcare, says Dr. Daniel Kraft, faculty chair for medicine and neuroscience at Singularity University, an executive education program that also serves as a business incubator and consultancy service. Theft is also a concern, says Will Stavanja, chief technical officer at AirBox Technologies, which is testing its DroneX fleet for medical deliveries in the Caribbean. “Right now, most drones land, drop the package and leave,” says Stavanja, whose team has developed smart mailboxes for secure delivery. Addressing that risk will be key to determining whether drones can handle sensitive cargo. “You want a very high degree of certainty,” Kraft says. “It’s one thing if you lose a urine sample or a blood sample; you can get another one. It’s another to lose an organ.”
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Health Technology, Digital Healthcare
Article | July 14, 2023
In 2021, the introduction of Amazon Care marked the first time a prominent technology firm stepped into the healthcare services industry. The fact that Amazon filed paperwork to offer care in multiple states without much fanfare is intriguing. In March 2021, the company confirmed the details of its new services, announcing that it would be delivering the services through an independent private medical practice called Care Medical.
The move may signify another diversification for Amazon, but what does it mean for the healthcare services landscape?
The Highlights of Amazon Care’s Services
Home healthcare
Amazon announced that it would be participating in an advocacy group for home healthcare. The Moving Health at Home initiative aims to transform how policymakers view the home as a site to deliver clinical services. Amazon Care may be riding on the trend for home care that has been evolving in the form of remote patient monitoring for post-acute care management and chronic care.
Employer-oriented offering
Amazon Care aims to become a workplace benefit partner for employers. One of the pain points it is directly addressing is the challenge of runaway inflation that increases healthcare costs.
Virtual care simplified
The most significant offering that Amazon Care plans to lead with is virtual care that promises to reduce wait times for quality patient care to under 60 seconds. It also includes the option to access 24-hour care services through messaging and video calling. In addition, it eliminates unnecessary traveling and long wait times by delivering care in the comfort of the patient’s home.
The Path Ahead
Amazon is known for introducing a slew of initiatives in the health and fitness sector, like the Halo wearables, a data management product called Amazon Health Lake, and a healthcare delivery system called Haven, which doubled over in 2021 after a three-year run. However, the tech juggernaut is not about to stop attempting to disrupt healthcare services. Only time will tell whether Amazon Care finally proves to be a feather in Amazon’s healthcare cap or another ambitious project that bites the dust.
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Health Technology, Digital Healthcare
Article | August 21, 2023
Explore a curated collection of EHR books while discovering the potential of exploring electronic health records books, empowering individuals to navigate complexities and make informed decisions.
Electronic health records (EHRs) have revolutionized the healthcare industry, streamlining patient data management and transforming how medical information is accessed, stored, and shared. A carefully curated list of essential EHR books can be an invaluable resource for healthcare professionals looking to expand their knowledge and expertise in this rapidly-evolving field.
Explore these electronic health records books that deepen insights and help navigate the intricate world of healthcare:
1. Connected for Health
Editor: Louise L. Liang
‘Connected for Health: Using Electronic Health Records to Transform Care Delivery’ explores the implementation of the world's most extensive non-governmental electronic health record system. The book delves into the far-reaching impact of this system on patient care outcomes, operational efficiency, safety, and patient engagement. Louise L. Liang draws upon valuable insights and lessons learned from the successful deployment strategy, showcasing how these technological tools are revolutionizing healthcare delivery and reshaping the organizational culture within the industry. This comprehensive resource sheds light on the transformative potential of electronic health records, offering a glimpse into the future of connected healthcare and its potential to improve patient experiences and drive positive change within healthcare organizations globally.
2. Hacking Healthcare
Authors: Fred Trotter and David Uhlman
‘Hacking Healthcare: A Guide to Standards, Workflows, and Meaningful Use’ is a concise and insightful book that critically evaluates the US healthcare system's adoption of electronic health records (EHRs) and other IT solutions to meet the government's meaningful use requirements. While acknowledging the tremendous opportunities for IT professionals, it also highlights the significant challenges of overhauling outdated record systems, workflows, and practices. EHR books, such as this one, provide a comprehensive overview by examining the unique characteristics of healthcare settings, exploring the complexities of transitioning from paper to digital records, analyzing billing and payment systems, emphasizing patient engagement through EHRs, and addressing the critical issue of avoidable errors.
3. The Innovator's Prescription
Authors: Clayton M. Christensen, Jerome H. Grossman, and Jason Hwang
‘Innovator's Prescription: A Disruptive Solution for Health Care’ presents a visionary prescription for reforming the ailing healthcare system. The book applies the principles of disruptive innovation to revolutionize the broken healthcare system. It identifies and addresses various symptoms, offering proven solutions that will improve the affordability and quality of healthcare. The book explores how precision medicine can reduce costs and deliver personalized care, how disruptive business models can enhance accessibility, affordability as well as quality, and how patient networks can improve the treatment of chronic diseases. Additionally, it highlights the need for employers to adapt their roles in EHRs to compete effectively in a globalized era.
4. The Guide to the Future of Medicine
Author: Bertalan Meskó
‘The Guide to the Future of Medicine (2022 Edition): Technology and The Human Touch’ is an insightful and authoritative book that examines the transformative power of electronic health records (EHRs) and other technological advancements in medicine and healthcare. The author comprehensively assesses how EHRs have revolutionized healthcare delivery, offering a roadmap to tomorrow's potential. By exploring the integration of EHRs with emerging technologies and trends, such as exoskeletons, social media for medical information, and supercomputers in medical decision-making, EHR books like this one offer patients, medical professionals, and healthcare stakeholders an enlightening and fact-based perspective on how technology can shape and enhance their well-being while preserving the essential human touch.
5. The Digital Doctor
Author: Robert Wachter
‘The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age’ explore integrating electronic health records (EHRs) into healthcare. Driven by compelling stories and astute analysis, the book addresses the challenges and opportunities presented by technology in medicine. It raises pertinent questions about the impact of digital systems on patient care, highlighting concerns such as the loss of human connection and the occurrence of medical errors despite computerization. With clarity and compassion, the author emphasizes the need to understand the transformative nature of technology in healthcare and advocates for its proper implementation to ensure a harmonious relationship between humans and machines.
6. The Internet of Healthy Things
Authors: Joseph C. Kvedar, Carol Colman, and Gina Cella
‘The Internet of Healthy Things’ explores the profound impact of IoT on healthcare, with a particular emphasis on electronic health records (EHRs). This integrated electronic health records book delves into the transformative potential of real-time biometric data in understanding the relationship between lifestyle and chronic diseases. The authors describe the driving forces behind this trend and unveil the business opportunities it presents for various sectors, including payers, providers, pharmaceutical and biotech companies, technology vendors, and innovative newcomers. The book provides insights into consumer behavior, strategies for designing compelling health devices and platforms, exploration of novel form factors for health information delivery, strategic guidance for startups and entrepreneurs entering the connected health market, and interviews with industry leaders and innovators.
7. Electronic Health Records
Author: Jerome H. Carter
The second edition of ‘Electronic Health Records: A Guide for Clinicians and Administrators’ offers medical professionals and administrators a comprehensive grasp of the functionality and significance of electronic health records (EHRs). The book addresses the numerous inquiries when assessing, procuring, and utilizing an EHR system. It is a valuable resource for individuals who remain undecided about investing in an EHR system or seek a comprehensive and up-to-date understanding of the growth potential and associated challenges of EHRs. The book offers insightful guidance and effectively combines written explanations with visual aids such as figures and tables. It is an exceptional resource for introductory courses on healthcare systems.
8. Ensuring the Integrity of Electronic Health Records: The Best Practices for E-records Compliance
Author: Orlando López
‘Ensuring the Integrity of Electronic Health Records: The Best Practices for E-records Compliance’ is a comprehensive guide that emphasizes the crucial role of data integrity in the design, implementation, and utilization of systems handling electronic health records (EHRs). The book highlights the importance of recording data accurately and ensuring its consistency throughout its lifecycle. Providing practical insights and up-to-date information enables a better understanding of the controls necessary for maintaining compliance with EHR regulations. With a specific focus on production and quality control systems in the pharmaceutical and medical device industries, the book addresses the suitability of EHR implementation, risk-assessed controls, and proper handling of EHRs, ultimately emphasizing the criticality of data integrity in ensuring patient safety and regulatory compliance.
9. Electronic Health Records
Author: Richard W. Gartee
‘Electronic Health Records: Understanding and Using Computerized Medical Records’ is an instructional resource for Health Information Management and Health Information Technology programs. Written by Gartee, this electronic health records educational book effectively utilizes EHR in medical practice through practical exercises and activities. Suitable for various educational institutions, the book includes a Student CD with networking capabilities. The ‘Medcin Software’, integrated into the instructors' manual, enhances learning with its multi-user functionality and widespread use in EHR systems. This comprehensive resource prepares students to apply their skills in real-world EHR applications.
10. Electronic Health Records and Medical Big Data
Author: Sharona Hoffman
‘Electronic Health Records and Medical Big Data: Law and Policy’ is a comprehensive book that offers a profound understanding of electronic health record (EHR) systems, medical big data, and the regulatory landscape governing them. It is a valuable resource for students and professionals alike, providing interdisciplinary analysis and insights. The book explores the impact of EHR systems on clinical care and the generation of medical big data, examining their benefits, drawbacks, and the legal framework surrounding their use. It addresses various challenges, including privacy, security, data quality, and analysis. With detailed recommendations for regulatory, policy, and technological improvements, the book emphasizes the vital role of the law in safeguarding and enhancing EHR systems and the medical big data derived from them. Its structure comprises two main parts, focusing on EHR systems in clinical settings and the utilization of medical big data for research and non-clinical purposes.
Final Chapter
This curated list of engaging electronic health records books serves as an essential read for patients, providers, and C-suite executives alike. These EHR books not only unravel the intricacies of the digital age but also provide valuable insights into the evolving healthcare industry. For healthcare professionals, these resources offer a deeper understanding of EHR implementation, usability, and the legal considerations surrounding them. Additionally, professionals can leverage the knowledge gained from these electronic health records educational books to navigate the complexities of integrating EHR systems within their organizations, driving strategic decision-making, and ensuring the delivery of effective and compassionate healthcare services. By embracing the transformative potential of these EHR books, informed by the wisdom shared within them, healthcare leaders can forge a path toward a more efficient, patient-centered, and technologically-advanced healthcare system.
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Article | December 15, 2020
As medical science has improved rapidly, life expectancy around the world also has risen. Still, as longevity increases, healthcare systems are facing a growing demand for advanced services, increased costs, and a struggling workforce to meet various requirements of patients. Demand is driven by many unstoppable forces: a shift in lifestyle choices, shifting patient expectations, population aging, and the never-ending cycle of innovation are a few among others.
Challenges Faced by the Healthcare Industry
According to Mckinsey, one in four people in North America and Europe will be over the age of 65 by 2050. This shows that, soon, the healthcare industry will have to deal with a larger number of patients with more complex requirements. Catering to these patients is expensive and requires health systems for providing long-term focused and proactive care. To remain sustainable, healthcare systems need major transformational and structural changes.
The industry also needs a larger workforce because according to the World Health Organization (WHO), globally there is a shortfall of approximately 9.9 million nurses, physicians, and midwives. Apart from attracting, training, and retaining these healthcare professionals, you also have to ensure that their time and effort add value to patient care. Utilizing the solutions powered by modern technologies, such as Artificial Intelligence (AI) in the healthcare industry, will add perfection and more value to human efforts.
AI in the healthcare industry has the potential required to transform and revolutionize healthcare by addressing the challenges in the industry mentioned earlier. AI can better the outcomes, improve efficiency, and augment productivity in healthcare delivery. This article takes an in-depth look at the impact of AI in healthcare.
Impact of AI in the Healthcare Industry
In the coming years, AI in the healthcare industry will improve the day-to-day life of healthcare practitioners, augment the patient experience, improve care delivery, and can even facilitate life-saving treatments and revolutionize the industry. Additionally, AI will improve population-health management, operations, and strengthen innovations.
According to Statista, the global AI healthcare market will increase to more than US$28 billion by 2025. Here is a detailed look into the areas where and how AI in the healthcare industry will be impactful.
Chronic Care Management
Chronic diseases, such as cancer, diabetes, kidney diseases, are the leading cause of disability and death in the US and the main drivers of the country’s annual health cost. Effectively managing various chronic diseases is an overarching and long-term process. But with the help of the right tool, healthcare providers can meet the needs of these patients without delay.
Artificial intelligence tools in the healthcare industry can help healthcare providers overcome the complexities of chronic disease management and make it more effective and provide quality treatment. AI in the healthcare industry is increasingly being leveraged by organizations to improve chronic disease management, enhance patient health, and drive down costs, which will also eventually result in data-driven and personalized care. AI in the healthcare industry is expected to move the industry toward proactive care delivery from a reactive one and lead the industry to provide more individualized treatments. This is just one of the ways AI in the medical industry is going to revolutionize chronic care management in hospitals.
Care Delivery
Artificial intelligence in the healthcare industry is changing the way care is delivered; it is expected to make healthcare more efficient, accurate, and accessible. Reducing costs and improving health outcomes are the values health systems and hospitals are trying to deliver to patients every day. Hospitals are increasingly incorporating technologies, which are powered by the use of AI in healthcare to meet the challenge.
According to the American Hospital Association (AHA), AI in the healthcare industry has unlimited potential to solve most of the vexing challenges in the industry. They identify AI use cases in the healthcare industry in four broad areas, which are administrative, operational, financial, and clinical areas.
Administrative Use Cases for AI in the Healthcare Industry
• Admission procedures
• Appointment scheduling
• Customer service responses
• Discharge instructions
• Hiring and orientation protocols
• Licensure verification
• Patient check-in procedure
• Prior authorizations
• Quality measure reporting
Operational Use Cases of AI in the Healthcare Industry
• Inventory management
• Materials management
• Supply chain management
• Facilities management
Financial Use Cases for AI in the Healthcare Industry
• Billing and collections
• Claims management
• Insurance eligibility verification
• Revenue cycle management
Clinical Use Cases of AI in the Healthcare Industry
• Predictive technologies
• Interventional technologies
By incorporating and utilizing these scopes with AI in the healthcare industry, the industry can be transformed into a next-gen level in no time. It also allows healthcare practitioners to focus more on patients, which would eventually help in raising staff morale and improving retention.
Clinical Decision Support
Recent advancements in AI in the health industry are capable of enhancing the currently used clinical decision support (CDS) tools to have value-based imaging and to improve patient safety. According to the National Institute of Health (NIH), the synergy between CDS systems and AI in the healthcare industry will be able to:
• Reduce friction in radiology workflows
• Identify relevant imaging features easily
• Generate structured data to develop machine learning algorithms
• Enable an evolution toward decision support for a holistic patient perspective
• Suggest imaging examinations in complex clinical scenarios
• Assist in identifying appropriate imaging opportunities
• Suggest appropriate individualized screening
• Aid health practitioners to ensure continuity of care
AI in the healthcare industry is competent in making CDS a next-gen one, enhancing the experiences of radiologists and providers, and improving patient care.
Diagnostics
Slowly but surely, AI is improving almost every aspect of human life with innovations and advancements. The latest is that AI in the healthcare industry is impending a revolution in medical diagnostics by providing accurate risk assessments, accelerating disease detection, and boosting hospital productivity. By automatically prioritizing urgent cases and accelerating reading time, image recognition AI enhances the workflow of radiologists. It even helps in the prevention of diseases by the early detection of diseases.
In medical images such as x-rays, MRIs, and CT scans, AI-driven software can efficiently be used to accurately spot signs of many diseases, especially in detecting many chronic diseases such as cancer. According to the NIH, AI will be widely applied in the healthcare industry especially for various tasks such as patient engagement and adherence, diagnosis, and treatment recommendations. So, there is no doubt that AI in healthcare will revolutionize the diagnostic process in the approaching years by detecting diseases, classifying diseases, and improving the decision-making process. The application of AI in the healthcare industry will make people live longer.
Triage and Diagnosis
AI can be effectively used to automatically triage cases. AI algorithms will analyze the cases and forward cases to pathologists after determining the priority based on the probability of cases according to the criteria set by labs. This makes the workflow of pathologists easier and efficient. Through the process the algorithm will be able to:
• Verify the digital images attached to the case belong to that case
• Validate the tests ordered and match the specimen type
• Identify cases marked as stat
• Determine the cases, which can be positive or are most likely to be negative
Moreover, AI technologies in the healthcare industry also can be effectively used to provide more accurate and faster diagnoses. This speeds up the entire process of triage and diagnosis and is expected to revolutionize the healthcare industry soon.
The Future Outlook for AI in the Healthcare Industry
Over the next few years, AI in the healthcare industry has the best opportunities in hybrid models to support clinicians in diagnosis, identifying risk factors, and in treatment planning. This scope will result in faster adoption of AI technology in healthcare, which will show measurable improvements in operational efficiency and patient outcomes.
With a plethora of issues to overcome, which are driven by documented factors such as growing rates of chronic diseases and the aging population, it is obvious that the healthcare industry needs new innovative solutions. AI-powered solutions in the healthcare industry will achieve a clear impact on the global healthcare industry in a short time.
Frequently Asked Questions
Which is the best application of AI in the healthcare sector?
Cognitive surgical robotics is the best application of AI in the healthcare sector as it helps practitioners collect data from real surgical processes, which would help in improving existing surgical approaches.
Why is artificial intelligence important in healthcare?
Artificial intelligence in healthcare is vital as it can help make decisions, analyze and manage data, and have conversations. So, AI will drastically change the everyday practices and roles of clinicians.
When was AI-first used in healthcare?
The term, Artificial intelligence (AI) was first described in 1950, but the limitations of the term prevented its acceptance. In the 2000s, these limitations were overcome and people started to accept the term.
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