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Machine Learning in Healthcare: A Case Study


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Check out what machine learning can do when implemented by Hospital administrators for their operational services. We used historical data to test out and got results that could turn around ROIs for many hospitals suffering loses today

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Machine Learning in Healthcare: A Case Study

  1. 1. Machine Learning for Healthcare May 25, 2017
  2. 2. Slide 2 © AlgoAnalytics All rights reserved Outline Our Healthcare Solutions Texas Healthcare Case Study About AlgoAnalytics
  3. 3. Slide 3 © AlgoAnalytics All rights reserved Aniruddha Pant CEO and Founder of AlgoAnalytics PhD, Control systems, University of California at Berkeley, USA 2001 • 20+ years in application of advanced mathematical techniques to academic and enterprise problems. • Experience in application of machine learning to various business problems. • Experience in financial markets trading; Indian as well as global markets. Highlights • Experience in cross-domain application of basic scientific process. • Research in areas ranging from biology to financial markets to military applications. • Close collaboration with premier educational institutes in India, USA & Europe. • Active involvement in startup ecosystem in India. Expertise • Vice President, Capital Metrics and Risk Solutions • Head of Analytics Competency Center, Persistent Systems • Scientist and Group Leader, Tata Consultancy Services Prior Experience • Work at the intersection of mathematics and other domains • Harness data to provide insight and solutions to our clients Analytics Consultancy • +30 data scientists with experience in mathematics and engineering • Team strengths include ability to deal with structured/ unstructured data, classical ML as well as deep learning using cutting edge methodologies Led by Aniruddha Pant • Develop advanced mathematical models or solutions for a wide range of industries: • Financial services, Retail, economics, healthcare, BFSI, telecom, … Expertise in Mathematics and Computer Science • Work closely with domain experts – either from the clients side or our own – to effectively model the problem to be solved Working with Domain Specialists About AlgoAnalytics
  4. 4. Slide 4 © AlgoAnalytics All rights reserved AlgoAnalytics - One Stop AI Shop •We use structured data to design our predictive analytics solutions like churn, recommender system •We use techniques like clustering, Recurrent Neural Networks, Structured Data •We usedtext data analytics for designing solutions like sentiment analysis, news summarization and many more •We use techniques like natural language processing, word2vec, deep learning, TF-IDF Text Data •Image data is used for predicting existence of particular pathology, image recognition and many others •We use techniques like deep learning – convolutional neural network, artificial neural networks and technologies like TensorFlow Image Data •We use sound data to design factory solutions like air leakage detection, identification of empty and loaded strokes from press data, engine-compressor fault detection •We use techniques like deep learning Sound Data BFSI •Dormancy Analysis •Recommender System •Credit/Collection Score Retail •Churn Analysis •Recommender System •Image Analytics Healthcare •Medical Image Diagnostics •Work flow optimization •Cash flow forecasting Legal •Contracts Management •Structured Document decomposition •Document similarity in text analytics Internet of Things •Predictive in ovens •Air leakage detection •Engine/compressor fault detection Others •Algorithmic trading strategies •Risk sensing – network theory •Network failure model
  5. 5. Slide 5 © AlgoAnalytics All rights reserved A Texas Healthcare Case Study (tested on historical data pre-2010) What Hospital Administrations & operational services gain when Machine Learning is implemented Streamlining Hospital admissions based on types of admission and predicting length of stays Actual v/s predicted admissions based on disease and illness Revenue to be earned based on cost of treatment administered Machine Learning: Hospital Administration & Operations
  6. 6. Slide 6 © AlgoAnalytics All rights reserved Texas healthcare case study: Data Visualization Agewise % of admitted patients and Average Length of Stay
  7. 7. Slide 7 © AlgoAnalytics All rights reserved Texas healthcare case study: Data Visualization Percentage of Patients wrt Type of Admission
  8. 8. Slide 8 © AlgoAnalytics All rights reserved Texas healthcare case study: Data Visualization Percentage of Patients wrt Risk of Mortality and Illness Severity
  9. 9. Slide 9 © AlgoAnalytics All rights reserved Disease Classification wise patient admission prediction Actual v/s predicted number of admissions under one broad disease classification (ICD9) e.g. infectious disease, cardiovascular disease etc. for the next quarter. Weekly predictions can be made if weekly data of admissions is available Actual v/s predicted number of admissions in a particular department e.g. ICU, CCU etc. in the next quarter. Department wise patient admission prediction Number of Admissions Prediction for bed space management
  10. 10. Slide 10 © AlgoAnalytics All rights reserved Hospital Wise Revenue Prediction Actual v/s predicted revenue from a single hospital for the next quarter. Weekly predictions are possible if weekly data is available. Distribution of Patients based on Cost of treatment Total Patients Cost <=$6760 $6761 < Cost <=$13812 Cost >$ 29887 $13813 < Cost <=$29887
  11. 11. Slide 11 © AlgoAnalytics All rights reserved Discharge Duration Prediction - Process Flow Greater than 2 and less than 5 Greater than equal to 8 • Risk Mortality • Principle Diagnostic Code • Age • Sex • Type of Admission • Source of Admission • Race • Ethnicity • Encounter Indicator Patient information within 24 hours of admission Random Forest Model Prediction of Length of Stay Admission of Patient Greater than equal to 5 and less than 8
  12. 12. Slide 12 © AlgoAnalytics All rights reserved Other Work Done in Healthcare Medical diagnostics – Detecting serious disorders or diseases through image analytics. We have developed solutions in diabetic retinopathy, brain MRI scan, sonography and others Cash Flow Forecasting – Forecasting of cash flows based on claims history, reimbursement analysis and potential denials to forecast cash Work Flow Optimization– Using historical data for staffing to reduce costs, Having the right clinician at right time at right place Efficient Use of Hospital Resources – Prevent bottlenecks in urgent care by analyzing patient flow during peak times Grant problem - Predict likelihood that a particular proposal will receive grant using text analytics
  13. 13. Slide 13 © AlgoAnalytics All rights reserved Technology
  14. 14. Interested to know how we can help? Contact us: May 25, 2017