How Technology in Healthcare is Changing the Future

The intersection of technology and healthcare is creating groundbreaking developments that are more likely to reshape the future of medicine. These healthcare technologies not only enhance the precision and efficiency of medical practices but can also empower patients with better access to information and personalized care. So what is the technology in healthcare, and how are they changing the future?


What is healthcare technology?

Healthcare technology, also referred to as health tech, is any kind of technology developed to support and enhance healthcare organizations, services, operations, and more. Because of this, healthcare technology encompasses a broad range of tools, services, and solutions.

Technology in healthcare is mostly designed to improve the delivery, efficiency, and quality of different kinds of healthcare services and the industry as a whole. They come in various forms that can help address the needs of patients, healthcare providers, healthcare systems, and more. This means that technology in healthcare can impact not only hospitals and facilities but actual individuals as well.


What is the new technology in healthcare?

Technology in healthcare can be found in various aspects of healthcare services and business processes. From large healthcare equipment to small medical devices, healthcare technology can be integrated into different departments and activities for the ultimate convenience.

Here are some examples of new technology in healthcare, as well as their impact now and in the future:


Electronic Health Records (EHRs)
Components and applications: EHRs include patient demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data, and radiology reports. EHRs are one of the most popular technologies used in smart hospitals, bringing accessibility and seamlessness across different departments and healthcare providers. According to the Office of the National Coordinator for Health Information Technology (ONC) in the United States, 78% of office-based physicians and 96% of all non-federal acute care hospitals have adopted a certified EHR technology in 2021.

Implementation Challenges: Adoption can be hindered by high costs, the need for training, and concerns over privacy and data security.

Future Trends: Integration with AI to provide clinical decision support, and greater interoperability between different EHR systems.


Health Information Systems (HIS)
Subsystems and applications: This includes Hospital Information Systems (HIS), Laboratory Information Systems (LIS), Radiology Information Systems (RIS), and Pharmacy Information Systems (PIS). In a 2020 study, it was found that health information technologies have direct positive impacts on both hospital performance and health information quality.

Data Management: HIS ensures accurate and efficient handling of patient data, improves coordination of care, and supports regulatory compliance.

Future Trends: Enhanced interoperability, cloud-based solutions, and the use of AI for data analytics.


Types and usage: it comes in various types, such as video consultations, remote monitoring, mobile health apps, and store-and-forward (asynchronous) telemedicine, where data is collected, stored, and then forwarded to healthcare providers. In the 2021 Telehealth Survey Report, there are 85% of physician respondents that reported using telehealth. Meanwhile, more than 80% of respondents indicate patients have better access to care since using telehealth.

Regulations: This may vary by country and can impact the adoption and expansion of telemedicine services.

Future Trends: Expansion in rural and underserved areas, more comprehensive telehealth platforms, and integration with wearable health technology.


Wearable Medical Devices or Personal Wearables
Examples and applications: This technology in healthcare includes continuous glucose monitors (CGMs), smart inhalers, connected contact lenses, and wearable ECG monitors. According to a study, about 30% of adults in the United States regularly used wearables in 2020, with numbers continuing to grow through 2026.

Data Utilization: Collected data can be used for real-time monitoring, alerting healthcare providers to potential issues, and guiding treatment plans.

Future Trends: Increasing miniaturization, improved accuracy, and more robust integration with health information systems.


Genomics and Personalized Medicine
Components: This includes DNA sequencing, gene editing (e.g., CRISPR), and pharmacogenomics (how genes affect a person’s response to drugs).

Applications and development: Identifying genetic predispositions to diseases, tailoring treatments to individual genetic profiles, and developing targeted therapies. Nowadays, the cost of sequencing a human genome has decreased to less than $1,000 from around $100 million in 2001. This ease and affordability will lead to more advancements in human health in genomics.

Future Trends: Wider use of whole-genome sequencing, integration with EHRs, and advancements in gene therapy.


Mobile Health (mHealth)
Tools and applications: Not to be confused with telehealth, mobile health focuses on the usage of mobile phones and devices. This includes health apps, mobile health sensors, and mobile-enabled medical devices. As of today, there are more than 350,000 healthcare apps available on the global market, increasing access to care for patients.

Benefits: Mobile health empowers patients with self-monitoring tools, provides access to health information, and supports behavior modification for healthier lifestyles.

Future Trends: Greater integration with wearable devices, enhanced data privacy measures, and AI-driven health insights.


Robotics and Automation
Types and applications: This type of technology in healthcare refers to surgical robots, robotic exoskeletons for rehabilitation, and automated medication dispensing systems.

Advantages: Higher precision in surgeries, reduced recovery times, enhanced physical rehabilitation, and reduced human error. In fact, studies have shown that robotic surgery demonstrated a faster recovery, therefore enabling patients to return to work and normal daily activities quicker.

Future Trends: More autonomous robots, AI-driven robotic surgery, and broader use in various medical fields.


Artificial Intelligence (AI) and Machine Learning (ML)
Applications: This includes image and speech recognition, natural language processing, predictive analytics, and personalized treatment recommendations.

Examples: AI-powered diagnostic tools for radiology, chatbots for initial patient interaction in receptions or clinics, and machine learning models for predicting patient outcomes. In a study about multi-reader diagnostic accuracy, an artificial intelligence candidate achieved an average overall accuracy of 79.5%, close to the average accuracy of a human radiologist (84.8%).

Future Trends: Increased adoption in clinical settings, more sophisticated algorithms, and ethical considerations regarding bias and decision-making.


3D Printing
Applications: This type of technology in healthcare includes custom prosthetics, dental implants, orthopedic implants, and bio-printing tissues and organs.

Advantages: High customization, cost-effectiveness for certain applications, and rapid prototyping. 3D printed prostheses, for example, are making it more accessible and affordable for people with limb differences and loss.

Future Trends: More biocompatible materials, advancements in bio-printing, and regulatory approval for more complex medical applications.


Blockchain technology
Applications: Applications include secure sharing of medical records, management of consent for data sharing, and ensuring the integrity of clinical trials.

Benefits: Enhanced security, improved data interoperability, and increased patient control over their health information. According to the World Economic Forum, previous examples like Snark Health in Kenya, AID:Tech in Tanzania, and Mediconnect in Uganda showcase blockchain's potential impacts, including enhancing healthcare delivery, reducing fraud, and improving transparency.

Future Trends: Broader adoption across healthcare networks, development of blockchain standards, and integration with IoT devices.

These are just a few of the technologies that are transforming how healthcare is delivered to patients—making it more personalized, efficient, and accessible. Technology in healthcare continues to evolve rapidly, driven by ongoing innovations and modernization. The increasing integration of various technological advancements into everyday healthcare practices will only continue to make an impact on lives and businesses.

How does technology have a positive impact on health?

Today, technology has a significant positive impact on an individual’s health. They can enhance the quality, accessibility, and efficiency of healthcare altogether, as well as various other factors in people’s lives and business operations.

Take a look at the several ways in which new healthcare technology benefits health as the world welcomes the future:


Improved Access to Care

  • Virtual Consultations: Patients can consult with doctors via video calls, making healthcare accessible regardless of geographic barriers.
  • Chronic Disease Management: Patients with chronic conditions can regularly check in with their healthcare providers, which ensures continuous care without frequent in-person visits.
  • Emergency Care: Telemedicine can be used for triaging emergency cases, directing patients to the right level of care more efficiently.

Mobile Health

  • Health Apps: Applications that provide information on medications, disease symptoms, diet plans, and exercise routines, which promote preventive care.
  • Remote Monitoring: Devices that monitor blood pressure, glucose levels, or heart rate send data to healthcare providers, enabling real-time health monitoring.


Enhanced Diagnostic Accuracy and Treatment
Artificial Intelligence (AI) and Machine Learning (ML)

  • Medical Imaging: AI systems can analyze X-rays, MRIs, and CT scans with high accuracy, sometimes detecting anomalies that radiologists might miss.
  • Pathology: AI algorithms assist in examining tissue samples, providing quicker and more accurate diagnoses of conditions like cancer.

Genomics and Personalized Medicine

  • Genetic Testing: Identifies genetic mutations associated with specific diseases, which allows for early interventions.
  • Targeted Therapies: Medications and treatments tailored to an individual's genetic makeup, improving efficacy and reducing side effects.


Better Patient Engagement and Self-Care
Wearable Technology

  • Fitness Trackers or Sensors: Monitor steps, heart rate, and sleep patterns, encouraging users to maintain a healthy lifestyle.
  • Medical Wearables: Devices like glucose monitors and ECG patches provide continuous health monitoring.

Patient Portals

  • Access to Health Information: Patients can view their test results, medication lists, and health history.
  • Appointment Scheduling: Easy online scheduling and reminders for upcoming appointments.


Increased Efficiency and Reduced Costs
Electronic Health Records (EHRs)

  • Centralized Patient Data: All patient information is stored in a single digital record, accessible by any authorized healthcare provider.
  • Automated Alerts: EHRs can alert providers to critical information, such as allergies or interactions, to reduce errors.

Health Information Systems (HIS)

  • Resource Management: Efficient scheduling of staff and allocation of resources based on data analytics.
  • Billing and Coding: Automated coding and billing processes reduce administrative costs and errors.

Enhanced Treatment and Surgical Precision
Robotics and Automation

  • Robotic Surgery: Surgical robots like the da Vinci system provide high precision and control, minimizing invasiveness and reducing recovery times.
  • Automated Medication Dispensing: Ensures accurate dosing and reduces medication errors.

3D Printing

  • Custom Implants: Tailored to fit individual patient anatomy, which improves the success rates of surgeries.
  • Prosthetics: Affordable, custom-fit prosthetics enhance the quality of life for amputees.

Improved Patient Safety and Reduced Errors
Clinical Decision Support Systems (CDSS)

  • Guideline Adherence: Provides evidence-based guidelines and alerts to help providers adhere to best practices.
  • Error Reduction: Reduces diagnostic errors by suggesting potential diagnoses based on patient data.

Automated Alerts and Reminders

  • Medication Reminders: Alerts patients to take medications on time, improving adherence.
  • Follow-Up Reminders: Ensures patients attend follow-up appointments and tests.

Enhanced Communication and Coordination
Integrated Health Systems

  • Seamless Data Sharing: Facilitates the flow of information between primary care physicians, specialists, and hospitals.
  • Care Coordination: Enhances collaboration among healthcare providers, which can improve patient outcomes.

Telehealth Platforms

  • Multi-Disciplinary Meetings: Virtual platforms enable healthcare teams to collaborate on patient care plans.
  • Family Involvement: Allows family members to participate in consultations, especially for elderly patients.

Enhanced Public Health Surveillance and Response
Epidemiological Tools

  • Disease Tracking: Uses real-time data to track and predict disease outbreaks.
  • Public Health Interventions: Enables timely and targeted public health responses.

Blockchain Technology

  • Secure Data Sharing: Ensures the security and integrity of health data, fostering trust in data sharing.
  • Clinical Trials: Enhances the transparency and reliability of clinical trial data.

Data-Driven Decision Making
Big Data and Analytics

  • Population Health Management: Identifies at-risk populations and implements preventive measures.
  • Clinical Decision Support: Uses historical and real-time data to assist healthcare providers in making informed decisions.

Predictive Analytics

  • Readmission Reduction: Predicts patients at high risk of readmission, which allows for targeted interventions.
  • Disease Outbreaks: Analyzes patterns to predict and manage outbreaks, enabling timely public health responses.


Advanced Research and Development
AI and Machine Learning in Research

  • Drug Discovery: Accelerates the identification of potential drug candidates.
  • Clinical Trials: Optimizes the design and management of clinical trials, which can improve efficiency and outcomes.


  • Data Analysis: Integrates and analyzes biological data to understand disease mechanisms and identify therapeutic targets.


SOLUM EARX as the Future of Healthcare

SOLUM EARX is a great example of new technology in healthcare, a wearable device bridging health and modernization for individuals. It’s a specialized TWS (true wireless stereo) earbuds equipped with biosensor technology and a smart fitness mobile app. The bundled solution is an ideal way to elevate health and lifestyle for individuals.

SOLUM EARX is equipped with:

  • Immersive Audio Driver
  • Built-in Biosensors – Heart Rate, Temperature, Accelerometer
  • Real-time Voice Coach via Fitness App
  • Motion Artifact Cancellation algorithm
  • Professional Sound with Active Noise Cancellation (ANC)
  • +24 Hours of Playtime

These SOLUM EARX features can be used to monitor health and improve lifestyles. From real-time biosensors that will help users monitor their heart rate to a 3-axis accelerometer for activity and posture recognition and to a dedicated fitness app, this is technology made for healthcare. This makes SOLUM EARX an ideal wearable healthcare companion for a lot of people, including athletes, outpatients, elderly patients, and more.


Healthcare is at the palm of your hands, and on your phone, with SOLUM EARX. This is healthcare in the future. Talk to SOLUM experts now and learn how this can benefit healthcare providers and patients!

SOLUM Marketing


technology in healthcare, new technology in healthcare
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