DTx & IoMT: Two digital technologies with wide benefits for healthcare

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 DTx & IoMT: Two digital technologies with wide benefits for healthcare
Image source: © 2022 Kalkine Media®, Data source: Deloitte report
                                 

Highlights

  • Digital technology may be the way forward to shape a sustainable healthcare system for future
  • Digital therapeutics (DTx) makes it easier for clinicians to personalise treatment plans by collecting, synthesising, and analysing patient data
  • IoMT has enabled remote monitoring of patients with chronic or long-term diseases
  • Connection with wearables and consumer electronics can track and capture patient data

The healthcare sector looks set for a bright future, thanks to advances in digital healthcare technologies, such as artificial intelligence, robotics, or nanotechnology. In the healthcare sector, digital technology can build sustainable healthcare systems and deliver more effective medications for diseases. It also eases the relationship between doctors and patients, providing better care outcomes.

This article will discuss the two most popular technologies that have immense importance in shaping the healthcare system.

Do read: Prospects of AI in healthcare and ASX stocks to look at: HMD, PCK

Digital therapeutics in healthcare

Digital Therapeutics application connecting healthcare team

Image source: © Elenabsl | Megapixl.com


Digital therapeutics (DTx) refers to the use of software products to treat medical problems. It supports various stages of the patient health care journey. It also makes it easier for clinicians to personalise treatment plans by collecting, synthesising, and analysing patient data. Several tech companies have developed innovative applications for patients to take greater control of their care.

Mobile apps offer services of digital therapeutics such as:

o   Guidance on first aid administration

o   Work in combination with a drug routine to address more complex conditions

o   Use cognitive or motivational stimulation for aiding behavioural change

o   Connection with wearables and consumer electronics to track and capture patient data

o   Picking up wireless signals from a sensor embedded in the patient’s skin

 

DTx differs from wellness applications because these are developed aiming at specific disease conditions. It focuses on major chronic diseases such as diabetes, hypertension, and pulmonary diseases. The technology puts more focus on delivering clinical outcomes.

Mobile phone connected to a smart watch

Image source: © Andreypopov|Megapixl.com

Internet of Medical Things

The Internet of Medical Things (IoMT) or healthcare IoT is the collection of medical devices and applications that connect to healthcare IT systems through online computer networks. IoMT devices link to cloud platforms, on which captured data can be stored and analysed. The Internet of Medical Things (IoMT) market is estimated to be US$158.1 billion in 2022, as per a research study conducted by Deloitte UK Centre for Health Solutions.

Related read: RMD, ONE and CDX: Three diversified telehealth stocks from ASX

Examples of IoMT:

  • Remote monitoring of patients with chronic or long-term diseases
  • Tracking medication status and location of patients

Benefits of IoMT

  • Improved patient outcomes
  • Reduced costs
  • Better diagnosis and treatment
  • Better disease management
  • Remote monitoring of chronic diseases
  • Enhanced patient experience
  • Better drug management

Challenges of IoT in healthcare

Data security: IoT-enabled devices capture real-time data, but most of them lack adherence to data protocols. This makes data more susceptible and prone to theft.

Connectivity problems: Many medical devices need real-time data access, during which network failures are a big problem. This is especially challenging in the case of mobile devices and wearables.

Integration of multiple devices: Manufacturers produce their own independent ecosystem of IoT devices, which are not compatible with the devices and applications of competing manufacturers. Such a situation makes data aggregation a problematic task.

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