Telemedicine Accelerating Expansion of eHealth Services

Medical advances in recent years have had as a common factor the intensive use of technology, accelerating the development of solutions in eHealth or telemedicine. The World Health Organization (WHO) defines telemedicine as the provision of services by health professionals, combining information and communication technologies (ICT) and where distance is a critical factor.

Telemedicine Accelerating Expansion of eHealth Services

These services include the “exchange of valid information for the diagnosis, treatment, and prevention of diseases and injuries, research and evaluation, and for the continuous training of health professionals, all in order to advance the health of individuals. and their communities “.

Telemedicine and eHealth: accelerating medical advances associated with healthcare

Telemedicine as a medical advance has transformed the industry. Milestones such as virtualization, remote attention, and the incorporation of enabling technologies for digital transformation stand out.

Virtualization of health care

The massive acceleration in the use of telehealth has improved access to online healthcare. This translates into greater interaction between patients, healthcare personnel, and healthcare providers.

Not surprisingly, reports from McKinsey & Co indicate a 50 to 175-fold increase in the volume of telehealth patients, just since the start of the COVID-19 pandemic.

Remote patient care using the Internet of Things (IoT) and Artificial Intelligence (AI)

The remote monitoring of patients is enhanced by the use of medical devices and technologies for everyday use. Using biometric sensors, useful data are collected for real-time monitoring of health indicators.

Artificial intelligence (AI) with machine learning (machine learning) and big data also has applications in medical technology. For example:


  • Classification of symptoms, assistance with clinical diagnosis, and suggestions for possible treatments.
  • Generation of early health alerts based on predictive models.
  • Development of conversational therapies using specialized bots for the health area that use natural language processing (NLP) techniques.
    Let us now know what are medical advances have stood out in the last two years and today.

Recent medical advances

The COVID-19 pandemic has required health systems to exceed their actual physical capacity. Being a supervening situation, for which we were not prepared, telemedicine as a medical advance raises new healthcare approaches.

The incorporation of familiar technologies such as telephones, watches (wearables), bracelets, or smart clothing has expanded the scope of medical care. In this way, the patient can take medical care with him through mHealth.

Here are some of the most prominent medical advances in the last two years.

 eHealth Services

  • Applications of telemedicine in medical specialties: teleradiology, telecardiology, telepathology, and teledermatology (Nader, 2019).
  • Improvements in procedures thanks to robotics and artificial intelligence: -Application of deep learning (deep learning) in global health projects such as Google Health.
  • Prediction models that use machine learning algorithms to identify people at risk of undiagnosed diseases.
  • Application of robotics to reduce tremors in the hands of surgeons and improve their precision in interventions.
  • Development of drugs to delay degenerative diseases, such as Alzheimer’s, using antibodies.
    Progress in 2020:

Among the medical advances in 2020 are:

  • Medical technology continues to bring innovations against Alzheimer’s. Among the medical advances, this year stands out the development of a blood test that identifies distinctive signs of this disease.
  • Artificial intelligence applied to cancer diagnoses s. Also for the classification, reading, and summary of scientific articles or the analysis of clinical trials.
  • Decentralization of health services thanks to eHealth, digital transformation, and mobile technologies.
  • Medicine tailored to the patient and precision medicine, supported by big data, biosensors, and artificial intelligence.

Leave a Comment