| CPC G16H 40/20 (2018.01) [G16H 50/50 (2018.01)] | 13 Claims |
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12. A computer-implemented method for planning resources for a plurality of chronic obstructive pulmonary disease, COPD, remote patient monitoring, RPM, programs, each RPM program being tailored to a different level of disease acuity, the method comprising:
receiving assessment data relating to the severity of COPD symptoms in respect of a set of patients currently following one of the RPM programs, wherein the assessment data comprises a severity measure for one or more of:
a COPD assessment test trend;
a COPD assessment test impact level;
a measure of a number of exacerbation events;
a disease severity measure; and
an oxygen saturation level;
calculating a score which combines the plurality of severity measures of the assessment data and allocating the patient to a RPM program based on at least the score;
for each patient, predicting which RPM program is most likely to be appropriate for the patient at a future time point by applying a prediction algorithm to the assessment data to predict a required future distribution of patients between different RPM programs, wherein the predication algorithm comprises a function
 where Pr is the predicted outcome probability, and K is the number of RPM programs, and β(k) is a vector of coefficients of input features associated to outcome k,
wherein the input features are based on the assessment data, and a function
 wherein for each patient n, the program allocation probability for program p is given;
determining a required capacity for each RPM program at said future time point based on the program allocation probability; and
outputting data identifying the required resources for each RPM program.
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