Back to results
US 11,380,425 B2Granted
Assessment and management system for rehabilitative conditions and related methods
AssigneeRehabilitation Institute of Chicago
InventorsChih-Hung Chang, Andrew Bodine, James A. Sliwa
Life of this patent
Estimating the term…
Abstract
Systems and methods are disclosed for the measurement of patient outcomes in a rehabilitation setting. In one exemplary method, an assessment relating to self-care is provided, an assessment relating to mobility is provided, and an assessment relating to cognition is provided, wherein the assessments have been pre-selected using item response theory.
Claims20
A computer-assisted method for assessing a patient, comprising a computing device carrying out actions comprising:
- a. using item response theory (IRT), pre-selecting tasks for a plurality of assessments for assessing the patient in a plurality of domains;
- b. receiving an input of a first assessment, among the plurality of assessments, the first assessment having a plurality of tasks in a self-care domain with items in the areas of balance, upper extremity function, and swallowing;
- c. receiving an input of a second assessment, among the plurality of assessments, the second assessment having a plurality of tasks in a mobility domain with items in the areas of balance, wheelchair skills, changing body positions, bed mobility, and mobility;
- d. receiving an input of a third assessment, among the plurality of assessments, the third assessment having a plurality of tasks in a cognition domain with items in the areas of cognition, memory, and communication;
- e. generating a plurality of respective domain-specific IRT scores based on patient performance on respective pluralities of tasks in respective ones of the received assessments, the plurality of respective domain-specific IRT scores being generated at least by applying IRT analysis based on statistical models generated for respective ones of the plurality of domains, the respective statistical models being from among respective pluralities of statistical models corresponding to respective ones of the plurality of domains, to respective ones of the received assessments, including generating i) a self-care IRT score based on patient performance on the plurality of tasks in the first assessment, ii) a mobility IRT score based on patient performance on the plurality of tasks in the second assessment and iii) a cognition IRT score based on patient performance on the plurality tasks in the third assessment;
- and
- f. storing the generated domain-specific IRT scores in an electronic medical record.
4 more elements
A method of measuring improvements in a rehabilitation patient, comprising a computing device carrying out actions comprising:
- a. using item response theory (IRT) analysis based on a plurality of statistical models generated for a plurality of assessment domains, pre-selecting a plurality of assessments for assessing the rehabilitation patient in respective ones of the plurality of assessment domains;
- b. receiving an input of an assessment of the plurality relating to self-care;
- c. receiving an input of an assessment of the plurality relating to mobility;
- d. receiving an input of an assessment of the plurality relating to cognition;
- e. storing the received inputs in an electronic medical record;
- f. determining, based on at least one of the plurality of assessments, at least one score to measure an improvement of the rehabilitation patient in at least one of the plurality of domains;
- and
- g. comparing the score against a predicted score for the rehabilitation patient in the at least one of the plurality of domains, the predicted score based at least in part on a severity of diagnoses associated with the rehabilitation patient in the at least one of the plurality of domains, wherein the comparison is used to improve a therapy in the at least one of the plurality of domains.
5 more elements
A computer-assisted method for assessing a patient, comprising a computing device carrying out actions comprising:
- a. using item response theory (IRT) analysis based on respective statistical models, among a plurality of statistical models generated for a plurality of domains, pre-selecting tasks for respective assessment among a plurality of assessments for assessing the patient in respective domains among the plurality of domains, wherein at least one statistical model among the plurality of statistical models is a multigroup statistical model based on a sample of patients, the sample of patients comprising a plurality of groups of patients grouped according to categories indicative of abilities of the patients in a particular domain among the plurality of domains;
- b. receiving an input of a first assessment, among the plurality of assessments, the first assessment having a plurality of tasks in a self-care domain with items in the areas of balance, upper extremity function, and swallowing;
- c. receiving an input of a second assessment, among the plurality of assessments, the second assessment having a plurality of tasks in a mobility domain with items in the areas of balance, wheelchair skills, changing body positions, bed mobility, and mobility;
- d. receiving an input of a third assessment, the third assessment having a plurality of tasks in a cognition domain with items in the areas of cognition, memory, and communication;
- e. generating, at least by applying IRT analysis based on respective ones of the statistical models to corresponding ones of the received assessments, respective domain-specific IRT scores based on patient performance on respective pluralities of tasks in respective ones of the received assessments, including generating i) a self-care IRT score based on patient performance on the plurality of tasks in the first assessment, ii) a mobility IRT score based on patient performance on the plurality of tasks in the second assessment and iii) a cognition IRT score based on patient performance on the plurality tasks in the third assessment;
- and
- f. storing the generated domain-specific IRT scores in an electronic medical record.
4 more elements
Dependencies are inferred from the claim text.