Managing patients of knee surgeries

Abstract

This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient.Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predictedsatisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to Australian Provisional Patent Application No. 2015904543 filed 5 November 2015, the contents of which are incorporated herein by reference. technical field [0003] The present disclosure relates to systems and methods for managing patients for knee surgery. Background technique [0004] Osteoarthritis is the degenerative loss of cartilage tissue in the joints and is the most common joint disease in the Australian community, adversely affecting approximately 15% of the population. Among them, the knee joint is a common site where osteoarthritis symptoms appear, which can cause debilitating pain and loss of function for patients. Incidence increases markedly with age, with as many as one-third of people in the 60-69 age group showing radiographic evidence of knee osteoarthritis, although only a small proportion of these are symptomatic. As such, the growth of this demographic group ...

AI Technical Summary

Problems solved by technology

Interestingly, this number is easily underestimated because routine follow-up of patients terminates when they undergo revision surgery implying two other success scenarios: the patient dies before undergoing the revision surgery they may need in the future, or the patient's health status changes. age to the point where it is considered unsafe to perform surgery even if revision surgery is required

Still, this statistic masks a larger problem: As many as 20% of patients report dissatisfaction with the pain relief and functional outcome of their surgery 1 year later

Due to the relative ease of data collection and thus the wider adoption of survival-based data in joint registries, and the relatively greater exposure of practicing surgeons to a smaller number of patients affected by conditions such as implant loosening than a large number of less dissatisfied patients Highly dissatisfied patients affected by outcomes such as , and thus, there is a potential possible bias in mechanically favoring "safer" but not necessarily best surgical decision-making for patient outcomes

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