15.1 Emerging Technologies and Their Impact on Healthcare

3 min readjuly 25, 2024

Healthcare is undergoing a technological revolution. From AI-powered diagnostics to , emerging technologies are transforming patient care, improving outcomes, and expanding access. These innovations promise personalized treatments, enhanced efficiency, and reduced costs.

However, implementation challenges abound. High costs, integration issues, and pose hurdles. Ethical implications, including privacy and , must be addressed. Organizations play a crucial role in adopting these technologies responsibly, balancing innovation with patient safety and equity.

Emerging Technologies in Healthcare

Key emerging healthcare technologies

Top images from around the web for Key emerging healthcare technologies
Top images from around the web for Key emerging healthcare technologies
  • (AI) and revolutionize healthcare through diagnostic assistance enhancing accuracy, predictive analytics forecasting patient outcomes, drug discovery accelerating development (IBM Watson)
  • (IoMT) transforms patient care with wearable devices enabling remote monitoring (Apple Watch), smart sensors ensuring medication adherence, connected medical equipment facilitating real-time data sharing
  • and expand healthcare access via video consultations connecting patients with specialists, tracking vital signs, offering app-based treatments (Livongo)
  • and advance healthcare through precision diagnostics identifying genetic predispositions, tailored treatment plans based on individual genetic profiles, gene editing technologies like CRISPR modifying DNA sequences
  • in Healthcare revolutionizes medical manufacturing with custom prosthetics and implants tailored to patient anatomy, bioprinting of tissues and organs for transplantation research, personalized medication manufacturing for precise dosing
  • (AR) and (VR) enhance medical practices through surgical planning and training simulations, patient education visualizing complex procedures, medical education providing immersive learning experiences (Osso VR)

Benefits and challenges of implementation

  • Benefits:
    • reducing misdiagnoses and improving patient outcomes
    • through personalized treatment plans and early intervention
    • streamlining administrative tasks and resource allocation
    • by preventing unnecessary procedures and optimizing care delivery
    • Personalized treatment plans tailored to individual patient needs and genetic profiles
    • reaching underserved populations and remote areas
  • Challenges:
    • requiring significant capital investment
    • necessitating complex IT infrastructure updates
    • Data security and privacy concerns protecting sensitive patient information from breaches
    • navigating evolving healthcare technology regulations
    • requiring continuous education and skill development
    • as certain tasks become automated
    • and maintenance ensuring consistent performance and minimal downtime

Ethical implications of technology integration

  • safeguarding patient information from unauthorized access, obtaining informed consent for data collection and use in AI applications
  • Algorithmic bias in AI systems potentially leading to discrimination in diagnosis or treatment recommendations, necessitating diverse representation in training data sets
  • balancing automation with human decision-making in critical care situations, maintaining the essential doctor-patient relationship
  • addressing disparities in technology adoption across different socioeconomic groups, ensuring equal access to advanced treatments regardless of location or income
  • Transparency and explainability providing clear understanding of AI-driven decisions to both healthcare providers and patients, communicating technology limitations to manage expectations
  • determining accountability for errors or malfunctions in AI-driven diagnoses, establishing clear guidelines for technology use in clinical settings

Role of organizations in technology adoption

  • and technology assessment evaluating potential impact on patient care and operations, aligning technology adoption with long-term organizational goals and mission
  • budgeting for technology acquisition and implementation, securing funding through grants or partnerships with tech companies
  • and organizational culture fostering innovation and continuous learning among staff, managing resistance to change through effective communication and training
  • Workforce development and training upskilling existing staff to use new technologies, recruiting technology-savvy professionals to lead digital transformation initiatives
  • engaging with technology vendors and startups to co-develop solutions, participating in research and pilot programs to test emerging technologies
  • ensuring adherence to healthcare regulations (HIPAA), developing policies for responsible technology use and data management
  • Measuring and evaluating impact establishing key performance indicators to assess technology effectiveness, conducting ongoing assessments to guide future technology investments

Key Terms to Review (35)

3D Printing: 3D printing is a manufacturing process that creates three-dimensional objects layer by layer from a digital model, utilizing various materials such as plastic, metal, or biological substances. This innovative technology is revolutionizing healthcare by enabling personalized solutions, from customized prosthetics to bioprinting tissues and organs, ultimately improving patient outcomes and reducing costs.
Algorithmic bias: Algorithmic bias refers to systematic and unfair discrimination that occurs when algorithms produce results that are prejudiced due to flawed assumptions in the machine learning process. This can lead to adverse outcomes in various sectors, especially in healthcare where data-driven decisions are increasingly being made using algorithms. Understanding algorithmic bias is crucial, as it can affect patient care, resource allocation, and overall equity in health services.
Artificial intelligence: Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI is transforming various sectors, including healthcare, by offering innovative solutions to historical challenges, enhancing cost containment strategies, driving disruptive technologies, and influencing emerging technologies in medical practice.
Augmented Reality: Augmented reality (AR) is a technology that overlays digital information, such as images, sounds, or data, onto the real world through devices like smartphones, tablets, or specialized glasses. This blending of virtual and physical environments enhances the user's perception of reality, enabling innovative applications in various fields, including healthcare. AR is increasingly recognized for its potential to improve patient care, medical training, and surgical procedures.
Autonomy and Human Oversight: Autonomy refers to the ability of individuals to make their own decisions, while human oversight involves the monitoring and guidance of automated systems to ensure they align with ethical standards and safety protocols. In the context of healthcare, these concepts are critical as emerging technologies like artificial intelligence and robotics become integrated into patient care, emphasizing the need for maintaining human control and accountability.
Change Management: Change management refers to the structured approach to transitioning individuals, teams, and organizations from a current state to a desired future state. It encompasses strategies for managing the human aspect of change while minimizing resistance and maximizing engagement, ensuring that changes are effectively implemented and sustained over time.
Collaboration and partnerships: Collaboration and partnerships refer to the process of individuals or organizations working together to achieve common goals, leveraging their resources, expertise, and networks. In the healthcare field, this approach is essential for integrating various services, improving patient outcomes, and fostering innovation through shared knowledge and efforts.
Data privacy and security: Data privacy and security refers to the practices and measures taken to protect sensitive information from unauthorized access, use, or disclosure. In the context of healthcare, this concept becomes vital as emerging technologies are increasingly integrated into patient care, leading to a growing concern about how personal health information is stored, shared, and protected from breaches. Ensuring data privacy and security not only safeguards patients' personal details but also maintains trust in the healthcare system and compliance with legal regulations.
Data security concerns: Data security concerns refer to the potential risks and vulnerabilities associated with the protection of sensitive information in healthcare systems. These concerns arise from the increasing reliance on electronic health records and other digital technologies, which can expose patient data to unauthorized access, breaches, and cyberattacks. The need for robust security measures is critical as the healthcare industry evolves with technology, highlighting the importance of safeguarding patient privacy and maintaining trust in healthcare providers.
Digital therapeutics: Digital therapeutics are evidence-based therapeutic interventions delivered via software to prevent, manage, or treat medical conditions. They utilize technology such as mobile apps, wearable devices, and virtual reality to provide personalized treatment plans, enhancing traditional healthcare approaches by offering real-time data and feedback.
Enhanced patient outcomes: Enhanced patient outcomes refer to improved health results and overall satisfaction experienced by patients as a result of effective healthcare interventions. This concept is closely linked to various advancements in healthcare practices, including the integration of emerging technologies, which play a crucial role in facilitating better communication, personalized care, and informed decision-making between patients and providers.
Equity and access: Equity and access in healthcare refer to the fair distribution of resources and opportunities, ensuring that all individuals have the ability to obtain necessary healthcare services without barriers. This concept emphasizes that healthcare should be available to everyone, regardless of socioeconomic status, geographic location, or any other potential barriers that could hinder access to care. It recognizes that disparities exist and aims to address them through policies, emerging technologies, and innovative solutions that enhance availability and affordability of healthcare services.
Expanded access to care: Expanded access to care refers to efforts and initiatives aimed at increasing the availability and affordability of healthcare services for a broader population. This concept emphasizes removing barriers to care, including financial constraints, geographical limitations, and regulatory obstacles, thereby promoting health equity and improving overall health outcomes.
Genomics: Genomics is the study of the complete set of DNA, including all of its genes, within an organism. It encompasses the analysis, sequencing, and mapping of genomes to understand genetic factors influencing health, disease, and treatment responses. The field has revolutionized personalized medicine and has major implications for disruptive technologies that transform healthcare delivery and outcomes.
High initial implementation costs: High initial implementation costs refer to the significant financial investments required to adopt and integrate new technologies in healthcare settings. These costs can include purchasing equipment, training staff, and modifying existing systems, which can create a barrier for healthcare organizations looking to innovate and improve their services. The impact of these costs often shapes decision-making processes regarding the adoption of emerging technologies that promise better patient outcomes and operational efficiency.
Improved diagnostic accuracy: Improved diagnostic accuracy refers to the enhancement in the precision and reliability of medical diagnoses, primarily achieved through advanced technologies and methodologies. This accuracy leads to better patient outcomes by ensuring that healthcare providers can identify diseases or conditions more effectively, reducing misdiagnosis and enabling timely interventions. As a result, patients benefit from more appropriate treatments and a higher chance of recovery.
Increased operational efficiency: Increased operational efficiency refers to the improvement in the effectiveness and productivity of processes within an organization, particularly in healthcare settings. It involves optimizing resources, reducing waste, and streamlining operations to deliver better patient care while minimizing costs. This enhancement often results from the integration of emerging technologies that automate tasks, enhance communication, and improve data management.
Integration with existing systems: Integration with existing systems refers to the process of ensuring that new technologies and solutions work seamlessly with the current healthcare infrastructure and operations. This involves the synchronization of data, workflows, and applications to improve efficiency, enhance patient care, and reduce disruptions during the implementation of innovative technologies.
Internet of medical things: The internet of medical things (IoMT) refers to a network of connected medical devices and applications that communicate and exchange data through the internet. This technology enhances healthcare delivery by enabling remote monitoring, improved patient outcomes, and efficient data management. IoMT plays a crucial role in disruptive technologies and emerging trends in healthcare, revolutionizing how care is delivered and managed.
Investment and resource allocation: Investment and resource allocation refer to the process of distributing financial resources and assets to various sectors or technologies within healthcare to maximize efficiency and improve patient outcomes. This concept is crucial for identifying which emerging technologies to fund and develop, as well as determining how to optimize existing resources to meet healthcare demands effectively.
Liability and Responsibility: Liability refers to the legal obligation to compensate for harm or damage caused by one’s actions or negligence, while responsibility denotes the moral or ethical duty to act in accordance with societal norms and expectations. In the context of healthcare, both terms highlight the importance of accountability among healthcare providers, institutions, and patients, ensuring that emerging technologies are used safely and effectively.
Machine Learning: Machine learning is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. By analyzing vast amounts of data, machine learning algorithms can improve their performance over time, making them essential in various applications, including healthcare. This technology not only enhances decision-making processes but also plays a crucial role in predictive analytics, optimizing operations, and improving patient outcomes.
Personalized medicine: Personalized medicine is an innovative approach to healthcare that tailors medical treatment and interventions to the individual characteristics of each patient, particularly their genetic makeup, lifestyle, and environment. This method enhances the effectiveness of treatments by focusing on what works best for specific patient profiles, leading to improved outcomes and reduced adverse effects.
Potential job displacement: Potential job displacement refers to the possibility that workers may lose their jobs due to the implementation of new technologies or processes. In healthcare, this term is especially relevant as emerging technologies streamline operations and improve efficiencies, potentially reducing the need for certain roles while creating demand for new skills in the workforce.
Reduced healthcare costs: Reduced healthcare costs refer to the lowering of expenses associated with medical services, treatments, and overall healthcare delivery. This concept is critical in promoting accessibility to healthcare services, improving patient outcomes, and enhancing the efficiency of healthcare systems. It can be achieved through various means, including innovative care models and the integration of technology into healthcare practices.
Regulatory Compliance: Regulatory compliance refers to the adherence of healthcare organizations and professionals to laws, regulations, guidelines, and specifications relevant to their operations. This ensures that the delivery of healthcare services meets legal standards, protecting patient safety and promoting ethical practices. Compliance is crucial not just for legal reasons but also for maintaining trust in healthcare systems, as it impacts the overall quality of care and operational efficiency.
Regulatory Compliance and Risk Management: Regulatory compliance and risk management involve adhering to laws, regulations, and standards that govern healthcare practices while identifying, assessing, and mitigating risks to ensure patient safety and organizational integrity. These processes are essential in navigating the complexities introduced by emerging technologies in healthcare, as they help organizations to protect sensitive data, maintain quality care, and avoid legal penalties.
Remote patient monitoring: Remote patient monitoring (RPM) refers to the use of digital technologies to collect medical and health data from patients in one location and electronically transmit that information securely to healthcare providers in a different location. This approach enhances patient engagement, enables continuous care, and supports healthcare providers in managing chronic conditions and improving outcomes.
Strategic planning: Strategic planning is a systematic process that organizations use to define their direction, set priorities, allocate resources, and ensure that all stakeholders are working toward common goals. This approach is vital for healthcare organizations as it helps them navigate complex environments, adapt to changes, and leverage opportunities for improvement while addressing challenges.
Technology reliability: Technology reliability refers to the ability of a technological system or device to consistently perform its intended function without failure over a specified period. In healthcare, this reliability is critical as it impacts patient safety, treatment outcomes, and the overall efficiency of healthcare delivery systems. As emerging technologies become more integrated into healthcare practices, ensuring their reliability becomes increasingly important for clinicians and patients alike.
Telemedicine: Telemedicine is the use of telecommunication technology to provide medical care and health education remotely. This approach connects patients with healthcare providers through various means, like video calls or mobile apps, enhancing access to care and improving patient outcomes, particularly in underserved areas. It reflects a shift towards more patient-centered care and integrates well with evolving healthcare delivery models.
Virtual care: Virtual care refers to the delivery of healthcare services through digital platforms, enabling patients to consult with healthcare providers remotely. This innovative approach leverages technology to enhance access to care, improve patient engagement, and facilitate continuous monitoring of health conditions without requiring physical visits to healthcare facilities.
Virtual reality: Virtual reality (VR) is a computer-generated simulation that immerses users in a three-dimensional environment, allowing them to interact with digital elements in real-time. This technology offers unique experiences that can replicate real-life scenarios or create entirely new worlds, making it especially valuable in various fields, including healthcare. VR has the potential to transform patient care, training, and therapy by providing interactive environments for both patients and healthcare professionals.
Wearable devices: Wearable devices are electronic gadgets that can be worn on the body, often incorporating health and fitness monitoring features. These devices gather real-time data about the user's health metrics, such as heart rate, sleep patterns, and physical activity, allowing for personalized health insights. The rise of wearable technology has significantly influenced areas such as remote patient monitoring, improved patient engagement, and the integration of digital health solutions into everyday life.
Workforce training and adaptation: Workforce training and adaptation refers to the processes involved in equipping healthcare employees with the necessary skills and knowledge to effectively use new technologies and practices in their roles. This concept is crucial as emerging technologies rapidly change the healthcare landscape, requiring continuous learning and adjustment from the workforce. By focusing on workforce training and adaptation, healthcare organizations can enhance efficiency, improve patient care, and ensure that staff are prepared to meet evolving demands in a technology-driven environment.
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.