to Support Hospital Operations

Transcription

1

2 Welcome

3 # T C 1 8 Strategies & Technologies Utilized to Support Hospital Operations and Business Decisions Linh Dye Director Barnes-Jewish Hospital/Data Management & Performance Measurements Mike Li Software Engineer Barnes-Jewish Hospital/Data Management & Performance Measurements Jim Knicely Solution Architect Micro Focus/Vertica

4 Who We Are

5 Who We Are Our mission Our vision Our values Barnes-Jewish Hospital takes exceptional care of people Barnes-Jewish Hospital, along with our partner, Washington University School of Medicine, will be national leaders in medicine and the patient experience Integrity Compassion Accountability Respect Excellence

6 Barnes-Jewish Hospital History 1902: Jewish Hospital established 1914: Barnes Hospital established 1996: Merger of Barnes and Jewish Hospitals 2007: Two hospitals nursing schools combined to form Goldfarb School of Nursing at Barnes-Jewish College

7 Academic Partner Washington University School of Medicine

8 Where Are We?

9 Who We Serve Local Safety Net/International Destination

10 Accreditations and Awards On the U.S. News Honor Roll for 25 consecutive years Designated as a Magnet hospital in 2003; Again in 2008, 2013, and 2018 Level 1 Trauma Center verified by the American College of Surgeons TJC Advanced Certifications Lung Volume Reduction Surgery Ventricular Assist Device Comprehensive Stroke Center TJC Certifications Joint Replacement: Hip/Knee Epilepsy Undersea and Hyperbaric Medical Society Hyperbaric Oxygen Treatment Center Adult Congenital Heart Association Adult Congenital Heart Comprehensive Care Center 2017 Metabolic & Bariatric Surgery Accreditation and QI Program (MBSAQIP) Bariatric Surgery Center of Excellence Pulmonary Hypertension Association Center of Comprehensive Care NCI Cancer Center Siteman Comprehensive Cancer Center State of MO Certifications Stroke Time-Critical Trauma Level I STEMI Time-Critical

11 Our Journey

12 Overview of Our Journey We crawled OPM static dashboards and reports, KPI Data silos, low speed, smaller data sets We walked Live data Acquired technologies that provided ease of learning and development of skills needed for analytics, governance, and data warehouse Some automation with information pushed to users

13 Overview of Our Journey We ran Big data, high performance, low cost, agile Gained more acceptance and support from the organization, team expansion Alert capability, fully automated data processes, push information to users and receive more feedback from users We are leaping Predictive analytics Exceeding expectations for high speed, low cost, agile solutions Projects have quick turnaround generating positive outcomes and greater satisfactions from both IT and business users and leaders

14 Our Journey How We Crawled Organizational Performance Measurements (OPM) 600 static reports and dashboards Drill-down capability at patient, charges, employee, unit levels Data refreshed daily, weekly, monthly, quarterly, yearly Results: Static monthly dashboards and reports

15 OPM Website Example: Throughput Website applications Reports

16 Our Journey How We Walked Pushing information to users A few hundred thousands s and text messages sent to users Continued data with drill-down capability at hospital, VP, director, department, employee patient, and charge levels Data refreshed daily, weekly, monthly, quarterly, yearly Results: Timely data, well received, and increased usage of the information via push to me technology

17 Our Journey How We Ran Labor project A 10-week project Goal: Support daily operations with staffing and labor productivity at all 55 inpatient units at the hospital Data processing: Six 4 hour shifts daily, daily, weekly, pay period, monthly Vertica with Tableau API Integrate data from large hospital system data sources: PeopleSoft, Epic, TeleTracking, Soarian, and Vizient Results: Achieve high speed, low cost, agile, ease of use, and well received

18 Our Journey How We Ran

19 Our Journey How We Ran

20 Our Journey How We Ran

21 Our Journey How We Ran

22 Our Journey How We Ran

23 Our Journey Now We are Leaping Big data and predictive analytics Business Decision Support (BDS) ED Sepsis Business decision support project A 2-month proof of concept with 2-months development and implementation of the project Goal: Integrate and provide large scale data from Finance, EMR, and revenue cycle for all hospitals in BJC HealthCare Vertica and Tableau Results: Achieve beyond expectations for high speed, very low cost, agile, ease of use, and well received

24 Technical Hurdles

25 Technical Hurdles Very wide database tables Greater than 570 Columns

26 Technical Hurdles BDS report challenge Dozens of tables joins

27 Technical Hurdles High resource consumption CPU, memory, and I/O

28 Solution: Tableau, Vertica, and IDOL

29 The Vertica Analytics Engine 50x-1000x faster than traditional RDBMS Scales from TB to PB with industry-standard hardware Simple integration with existing ETL and BI solutions SQL-99+ compliant Ultimate deployment flexibility Extended advanced analytics 24/7 load and query

30 Supporting the Entire ML Process

31 Vertica & Tableau at a Glance Tableau extends Vertica with fine-grained, visual analysis Seamless integration with Vertica via a fine-tuned live connector Easy-to-use solution to visualize big data quickly and easily Interactive dashboards that let users drill-down, in real time, to ask questions and get answers Simple, easy collaboration that lets users share findings, quickly, when discovered, with others

32 BDS on Vertica

33 BDS on Vertica

34 IDOL Unstructured Data Analytics AI Enterprise search Classification Categorization Taxonomy Education Sentiment analysis Cluster data Natural Language Processing (NLP) Machine learning to understand spoken and written language Medical dictionary SNOMED Synonym lists High performance scalable MPP (Massively parallel processing) Content engine LUA scripts Investigate Interact Improve

35 Sepsis Project A 3-month POC + 1-month develop and implementation project Goal: Predict Sepsis patients in ED, alert triggered to improve outcomes Idol, Vertica, and Tableau Results: Exceeded expectations for performance, cost, agility, and ease of use; very well received

36 Proposed ED Sepsis Alert User Interface Display to include: Time zero and time left in 3-hr bundle Horizontal display of hour of day in 15 min. increments with hover ability to display Metrics and Notes below Color change when sepsis indicators are present Ability for ED to provide immediate feedback via UI

37 Proposed ED Sepsis Alert User Interface

38 Please complete the session survey from the Session Details screen in your TC18 app

39 #TC18 Thank you! Linh Dye: Mike Li: Jim Knicely:

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