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  1. GIET UNIVERSITY, Gunupur School of Management Studies BBA II Year4th Semester Healthcare in Analytics ASSIGNED BY: Dr. I.J. Raghavendra Presenting On - 29/03/23, 11:00 to 12:00 pm PRESENTED BY: (TL) 21BBA036 Abhishek Christ Das 21BBA007 Jyoti Das 21BBA021 Sai Kumar 21BBA027 Kotni Rohit
  2. What is HealthCare in Analytics ? HealthCare Analytics is the process of analyzing current and historical industry data to predict trends, improve outreach, and even better manage the spread of diseases.
  3. 1. Collecting data through sources such as electronic health records, cost reports, etc. 2. Transforming data into easily understood insights. 3. Implementing healthcare database security protocols. Uses of Analytics in HealthCare Sector 4. Organizing and maintaining databases. 5. Sharing key findings with stakeholders. 6. Providing recommendations and supporting decision making to improve facility operations.
  4. Benefits of HealthCare and Analytics 1. Improved diagnostics: Analyzing vast amounts of data. 2. Better patient care: Clarity in Patients treatment. 3. Better health outcomes: Prediction of Future outcomes for best possible results. 4. Improved patient interactions: Better understand the health of the patients. 5. Increased health indicators: Increase the efficiency in determining the probability of certain disease.
  5. 6. Enhanced patient experiences: Patient feedback in several categories. 7. Better decision making in procedures: Gain insights from their data for decision making. 8. Preventative care: Predict the probability of a developing disease. 9. Facilities management: Improves the operation of the facility.
  6. Application of Analytics in HealthCare Sector 1. Staffing Prediction: Effective staff management in allocation. 2. Electronic Health Records (EHRs): Utilization of large amount of unorganised data. 3.Strategic Planning: Help in making predictions using analytics.
  7. 6. Patient Flow: Ensuring smooth patient flow and reducing waiting period. 4. Fraud Reduction: Reducing the loss of data by keeping it secure. 5. Improved Distribution and Medical Logistics: Manage the distribution of medicine and healthcare appliances to facilities.
  8. 9. Pre-adjudication and fraud analysis: Process large numbers of claims to reduce fraud and abuse. 7. Cost and Effectiveness: Used to compare the cost and effectiveness of treatments. 8. Effective resource management: Used to track and manage patients and staffs.
  9. Examples of HealthCare and Analytics 1. Real-time Alerting. 2. Prevent Opioid abuse. 3. Predictive Analytics in Healthcare.
  10. 4. Reducing Fraud and Enhancing Security. 5. Big-Data Analytics and medical imaging. 6. Advanced disease and Risk Control.
  11. 7. Electronic Health Records (EHRs). 8. Help manage Mass disease.