How technology is increasingly used in healthcare beyond electronic health records

  1. How is technology increasingly used in healthcare beyond electronic health records (HER)? Give some examples.
  2. Would you personally participate in robot assisted/telesurgery as a patient or a medical professional? Why or why not?

Full Answer Section

         
  • Wearable Devices and Remote Patient Monitoring:
    • Smartwatches, fitness trackers, and other wearables collect real-time data on vital signs, activity levels, and sleep patterns.  
    • This data can be transmitted to healthcare providers for continuous monitoring and early detection of health issues.  
  • 3D Printing:
    • 3D printers create customized prosthetics, implants, and anatomical models for surgical planning.  
    • This technology enables personalized medicine and improves surgical precision.  
  • Robotics:
    • Robots assist in surgery, rehabilitation, and medication dispensing.  
    • They can perform complex procedures with greater accuracy and minimize invasiveness.  
  • Virtual Reality (VR) and Augmented Reality (AR):
    • VR is used for pain management, rehabilitation, and mental health therapy.  
    • AR overlays digital information onto the real world, aiding surgeons during procedures and providing immersive medical education.  
  • Genomics and Personalized Medicine:
    • Genomic sequencing allows for the identification of genetic predispositions to diseases.  
    • This enables personalized medicine, where treatments are tailored to an individual's genetic makeup.  
  • Mobile Health (mHealth):
    • Mobile apps provide medication reminders, track symptoms, and offer health education.  
    • This empowers patients to take an active role in their healthcare.

2. Participation in Robot-Assisted/Telesurgery

  • As a Patient:
    • I would be open to participating in robot-assisted/telesurgery under certain conditions.
    • Reasons for:
      • Increased precision and reduced invasiveness, potentially leading to faster recovery times and fewer complications.  
      • Access to specialized surgeons in remote locations via telesurgery.  
      • The potential for reduced pain and scarring.
    • Reasons against:
      • Concerns about potential malfunctions or technical errors.
      • The lack of direct human touch and the potential for a less personalized experience.
      • The need to ensure that the surgeon has sufficient experience with the robotic system.
      • I would want to have a very in depth conversation with the surgeon, and research the hospital, and the robotic system, before agreeing to any procedure.
  • As a Medical Professional:
    • I would be interested in utilizing robot-assisted/telesurgery.
    • Reasons for:
      • Enhanced precision and control, potentially improving surgical outcomes.  
      • The ability to perform minimally invasive procedures, reducing patient trauma.  
      • The potential to extend surgical expertise to remote areas.
      • The ability to have less physical strain during long procedures.
    • Reasons against:
      • The need for extensive training and experience with robotic systems.
      • The potential for technical malfunctions and the need for backup plans.
      • The importance of maintaining situational awareness and ensuring effective communication within the surgical team.
      • The high cost of the equipment.
    • I feel that the benefits of this type of surgery, when done correctly, out weigh the risks.

Sample Answer

       

Technology Beyond Electronic Health Records (EHRs)

Technology is revolutionizing healthcare beyond simply storing patient data. Here are some examples:  

  • Telehealth and Telemedicine:
    • Video conferencing, remote monitoring, and mobile apps enable patients to receive care from a distance.  
    • This improves access for rural populations, reduces travel time, and facilitates remote chronic disease management.  
  • Artificial Intelligence (AI) and Machine Learning (ML):
    • AI algorithms analyze vast datasets to aid in diagnosis, predict patient outcomes, and personalize treatment plans.  
    • ML is used in image analysis (e.g., radiology), drug discovery, and risk assessment.
  • Wearable