team 6 - unitypoint health powerpoint

11
Team #6 Indra Kiran Chowdavarapu Brittany Copponex John Harden Ajay Mohan

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Page 1: Team 6 - UnityPoint Health Powerpoint

Team #6Indra Kiran Chowdavarapu

Brittany CopponexJohn HardenAjay Mohan

Page 2: Team 6 - UnityPoint Health Powerpoint

The Issue at HandProblem

If UPH hospitals reach a certain readmission threshold, CMS will apply a penalty to insurance payments remitted to UPH hospitals for all Medicare/Medicaid patients ranging from 0-3%

ObjectiveProtocol must be developed that limits unplanned 30-day readmissions by providing (a) high-quality care and (b) financial viability

Page 3: Team 6 - UnityPoint Health Powerpoint

Deliverable 1-Scoring patient risk-Methodology

Deliverable 2-Cost of care plans-Effect of care plans

Deliverable 3-Protocol

Deliverable 4-GUI-Implementation plan

Page 4: Team 6 - UnityPoint Health Powerpoint

Analytics Framework

Data Preparatio

n

Input Selection

Regression Analysis

Model Selection

Deliverable 1 Deliverable 2 Deliverable 3 Deliverable 4

Page 5: Team 6 - UnityPoint Health Powerpoint

Challenges with the Data• Skewed data, outliers and extreme values

Transformed variables to bring skewness closer to zero• Categorical data analysis

Categorized data into levels and created dummy variables • Dimensionality of data and collinearity among variables

Cluster analysis, variable selection • Over-fitting and over-sampling

Data partition, stratified sampling

Deliverable 1 Deliverable 2 Deliverable 3 Deliverable 4

Page 6: Team 6 - UnityPoint Health Powerpoint

Why Logistic Regression?Parameter readmit30 Estimate

Chi-Square Pr > ChiSq Estimate

Intercept 1 -0.5748 0.95 0.0049LOG_ed_visits 1 1.7203 9.6 0.0019 0.1104LOG_los 1 1.2282 5.18 0.0228 0.0851SQRT_meds_cardio_agents 1 1.1313 4.13 0.0421 0.0715LOG_meds_neuromuscular 1 1.175 4.35 0.0369 0.0742SQRT_meds_endocrine 1 0.6852 5.78 0.0162 0.0924diabetes 0 1 -0.746 8.73 0.0031hemoglobin 1 -0.0823 5.4 0.0201 -0.0936icu_yn 0 1 -0.5936 16.08 <.0001

Prob(Readmit30=1) = -0.5748 + 1.7203* LOG_ed_visits + 1.2282 *LOG_los + 1.1313* SQRT_meds_cardio_agents + 1.175*LOG_meds_neuromuscular + 0.6852*SQRT_meds_endocrine - 0.746*diabetes -0.0823*hemoglobin-0.5936*icu_yn

Deliverable 1 Deliverable 2 Deliverable 3 Deliverable 4

Page 7: Team 6 - UnityPoint Health Powerpoint

Model Selection Criteria• Misclassification rates – training and validation• Average squared errors – training and validation• Sensitivity• Specificity• AIC & BIC values

Alternative Methodology• Linear Regression for estimating readmission costs

Deliverable 1 Deliverable 2 Deliverable 3 Deliverable 4

Page 8: Team 6 - UnityPoint Health Powerpoint
Page 9: Team 6 - UnityPoint Health Powerpoint
Page 10: Team 6 - UnityPoint Health Powerpoint

Moving Forward• Infrastructure integration• Phased launch/test• Workflow implementation• Evaluation and expansion

• Alternative implementation

Deliverable 1 Deliverable 2 Deliverable 3 Deliverable 4

Page 11: Team 6 - UnityPoint Health Powerpoint

Thank You!