The specialized COPD community nurses, who are responsible for patients in the intervention group, will experience an extra alarm option in the telehealth system. The COPD prediction algorithm has been implemented by the Danish Company, OpenTeleHealth, into their commercially available telehealth system, Telekit, and thus, the COPD prediction algorithm is approved for clinical use as a part of the existing telehealth system´s CE marking (class I and IIa).

The specialized COPD community nurses responsible for patients in the control group will only experience the usual alarms that are activated in the telehealth system, named Telekit, and are based on low or high values of vital signs. The specialized COPD community nurses are not instructed to act differently compared to how they act normally. This involves that the specialized COPD community nurses monitor as usual and respond to divergent data as usual.

The participants in the control group receive the usual practice, which includes the general offer of the telehealth intervention. The participants in the control group are instructed to do exactly the same procedures as the participants in the intervention group.

The specialized COPD community nurses, who are responsible for patients in the control group continue to monitor the participants as usual, but are informed that more oxygen saturation measurements will be present for the included participants.

Participants in the intervention group will receive the general offer of the telehealth intervention including the telehealth system with the implemented COPD prediction algorithm. The participants are asked to measure their vital signs and respond to COPD related questions as usual. "As usual" refers to fixed days in the week, either Monday or Thursday, where the participants must measure their vital signs. In addition, the participants must weekly measure two oxygen saturation measurements drawn from the fingertip pulse oximeter.

The primary outcome is the number of exacerbations defined as an all-cause acute hospitalization from baseline to follow-up in both groups. The trial hypothesizes that integrating a COPD prediction algorithm into the telehealth system will lead to a significantly lower number of exacerbations through early identification and timely preventive treatment

The change in health-related quality of life (HRQoL) using SF-12v2 at the individual level from baseline to follow-up at 6 months. The trial hypothesizes that the difference in HRQoL from baseline to follow-up in both groups decrease since the participants have lived six months longer with COPD. However, it is expected that the decrease in HRQoL will be lower for the intervention group compared to the control group

To assess the participants' health literacy level at baseline using the HLS-EU-Q16, supported by further assessment with the Danish TOFHLA during the trial period to examine whether the effect of the COPD prediction algorithm is similar in patients with COPD, regardless of health literacy level