IBDP Computer Science A1.3 Operating systems and control systems HL Paper 2 - New Syllabus
Question
Ambient intelligence can be used in a smart home to assist patients who suffer from conditions like dementia.
(a) Explain how ambient intelligence is used to assist with the management of such a patient within a smart home. [4]
Developments in ambient intelligence and other digital technologies have led to significant increases in the quantity of health-related data that is available on the web.
(b) To what extent has the publication of an increasing quantity of health-related data on the web led to changes in the behaviour of patients as web users? [6]
Most-appropriate topic codes (IB Computer Science HL):
▶️ Answer/Explanation
(a) Award [4 max]
Input: Sensors in the smart home can collect data about the patient, such as body temperature and movement, as well as environmental data such as room temperature and humidity.
Baseline data can be collected to establish normal health and environmental conditions for the patient.
Processing: The ambient intelligence system analyses real-time sensor data against established norms to detect changes or anomalies in the patient’s condition. Behaviour-monitoring algorithms can identify patterns and deviations that may indicate an emergency or a need to adjust care.
Output: The system can automatically adjust the home environment, such as turning heating or cooling on or off, to maintain suitable conditions.
It can also provide medication and appointment reminders and send alerts to caregivers or emergency services when unusual activity or health readings indicate that urgent intervention may be required.
(b) Award [6 max]
Greater patient engagement: increased access to health-related information can encourage patients to become more involved in managing their healthcare. Online forums and support networks can allow patients to share experiences and obtain support.
Improved health literacy: patients can use online information to learn more about medical conditions, treatments and healthcare systems, allowing them to participate more actively in discussions with healthcare professionals.
Information overload: the large quantity of health information available online can confuse patients and create stress when deciding which information is reliable.
Changes to the doctor-patient relationship: patients may bring information obtained from the web to medical consultations. This can encourage discussion, but unreliable information may also challenge professional advice.
Preventive behaviour: access to health information may encourage patients to adopt preventive measures and make lifestyle changes.
Self-diagnosis and self-medication: some patients may use online information to diagnose themselves or select treatments without professional advice. If the information is unreliable or misunderstood, this could create health risks.
Privacy concerns: patients may share personal health information on public or insecure platforms, increasing the risk of misuse of sensitive data.
Alternative treatments: the web can encourage patients to investigate alternative or holistic treatments, which may not always be supported by scientific evidence.
Conclusion: the increasing availability of health-related data has significantly changed patient behaviour by increasing engagement, health literacy and access to support. However, information overload, unreliable information, self-diagnosis and privacy risks mean that the effect is not entirely positive and patients still require appropriate guidance when using health information from the web.