Panel I Big Data, Master Data, Data Quality, Regulation and GDSN

Size: px
Start display at page:

Download "Panel I Big Data, Master Data, Data Quality, Regulation and GDSN"

Transcription

1 Panel I Big Data, Master Data, Data Quality, Regulation and GDSN GS1 Healthcare Conference Bangkok, Thailand 31 October 2018

2 Thank you to our exhibitors GS

3 Thank you to our sponsors GS

4 Moderator and Panelists Catherine Koetz Industry Manager, Healthcare GS1 Australia Sarah Lankshear Operations Manager Master Data & Analysis, Stryker South Pacific, Australia Dr. Eric Hans Eddes, GastroIntestinal and Oncological Surgeon, Deventer Ziekenhuis, Director Dutch Institute for Clinical Auditing, The Netherlands Dr. Duangpun Kritchanchai, Associate Professor, Mahidol University, Thailand GS1 2018

5 Using the suite of GS1 Standards for medical device identification, barcoding and data sharing Sarah Lankshear Operations Manager Master Data and Analysis

6 We help caregivers perform their jobs more efficiently and enhance patient care

7 Depth and Specialisation 75+ years of innovation have led to a portfolio of more than 75,000 products. Orthopaedics Medical and surgical equipment Neurotechnology and spine Sports Medicine Hips Knees Power Tools & Surgical Equipment Computer Assisted Surgery Craniomaxillofacia l Interventional Spine Reprocessing & Remanufacturing Robotic-Arm Assisted technology Trauma & Extremities Minimally Invasive Surgical Solutions Infrastructure & Integration Neurosurgical, Spine & ENT Neurovascular Foot & Ankle Sports Medicine Patient Care, Patient Handling & EMS Equipment Reprocessing & Remanufacturing Spinal Implants and Biologics Note: Not all products and services are available in all global

8 Our Mission Together with our customers, we are driven to make healthcare better. Our Values Integrity We do what s right Accountability We do what we say People We grow talent Performance We deliver

9 Global Recognition 9

10 Local Recognition Certified to CSIA standards Finalist in 4 categories for the 2017 Australian Service Excellent Awards 10

11 Connectivity in Hospitals requires accurate, meaningful data

12 Tenders are the impetus for change Using data personally key to success Data needs rules Data Dictionary has those rules Exceptions cause pain o Operationally o Financially o Ability to report & analyse

13 Success Factors Set up efficient data loading to focus on value add Ensure data can easily be pulled out again o Integrity checking o Reporting Data Teams know where all the information is - don t waste that IP KPIs difficult for a Master Data Team, find where else they add value and measure that!

14 Master Data Rewards EDI NPC Data Quality Scores ERP Implementation Healthcare Providers benefit

15

16 Dutch Institute for Clinical Auditing Standards as the base for improved Quality of Care Eric H Eddes, MD PhD Director DICA GastroIntestinal Surgeon Deventer Ziekenhuis GS1 Clinical Advisory Committee

17 GS1 Safer, more efficient care starts with a simple scan

18 Challenges in Healthcare Dutch Institute for Clinical Auditing Aging population Multi (co-)morbidity New technologies Accessible Affordable Sustainable

19 Challenges in Healthcare Dutch Institute for Clinical Auditing Valid Information Management Information Quality Safety Finance Patient (customer) satisfaction

20 Setting Standards Dutch Institute for Clinical Auditing Robust methodology Correction Site checks Nationwide ICT platform Agreements Exchange, eg EMR Quality data, PROM s, financial data Professional Boards Nationwide coverage

21 Dutch Institute for Clinical Auditing development

22 Dutch Institute for Clinical Auditing costs

23 my DICA Internal use through dashboard Audit definition Numerator Casemix correction Denominator Benchmark Year My hospital

24 Improved Outcome Colorectal Cancer Surgery

25 Improved Outcome significant improvements Laparoscopic resections Irradical resections > 50% RR Serious complications Postoperative mortality > 25% RR > 50% RR

26 NBCA National Breast Cancer Audity Irradical resections

27 NBCA National Breast Cancer Audit Immediate reconstructive surgery

28 Dutch Value Based Healthcare Study dutch colorectal audit, 29 hospitals Severe complication rate 30% 25% 20% 15% 10% 5% -38%* Mortality rate 5% 2015 national 4% average 3% 2% 1% -33%* Avarage costs per patient %* ± 4000 per patiënt 0% Improve potential hospitals Best performing hospitals 0% Improve potential hospitals Best performing hospitals 0 Improve potential hospitals Best performing hospitals

29 Dutch Colorectal Audit improving potential Adjusted avarage costs per patient national average Improve potential hospitals R²=0, Best performing hospitals % 10% 20% 30% 40% 50% Adjusted severe complication rate

30 Dutch Institute for Clinical Auditing (inter)national cost savings 20 million euro colorectal 2015 cancer national average Equivalent potential in other patient groups National potential in savings %

31 Dutch Institute for Clinical Auditing next step Shared decision making Decision Support Real Life Data Targeted therapy 2015 national average International comparisons Reducing registration load

32 Dutch Institute for Clinical Auditing shared decision making

33 Dutch Institute for Clinical Auditing sharing experience to improve

34 Dutch Breast Implant Registry clinical audit & tracebility

35 Dutch Melanoma Treatment Registry clinical audit & new drugs Introduction new drugs Accelerated availability Professionals- Pharma Health Authorities Expansion

36 Dutch Institute for Clinical Auditing International comparisons; radiotherapy in rectal carcinoma

37 Dutch Institute for Clinical Auditing International comparisons radiotherapy 45% 20%

38 Dutch Institute for Clinical Auditing reduction of registration load Data interoperability Connection EMR Alignment datasets Interchangeable Systems, procedures; scalable

39 Dutch Institute for Clinical Auditing reduction of registration load Data interoperability Connection EMR Alignment datasets Interchangeable Systems, procedures; scalable STANDARDS

40 Dutch Institute for Clinical Auditing World Economic Forum

41 GS1 Standardisation, necessary base for improved quality and safety

42 Developing Thailand Healthcare Supply Chain: The Big Data Project Assoc.Prof.Dr.Duangpun Kritchanchai Centre of Logistics Management and Healthcare Supply Chain (LogHealth) Mahidol University Copyright 2018 Centre of Logistics Management and Healthcare Supply Chain (LogHealth) Mahidol University, 2018 All rights reserved.

43 LOGHEALTH, MAHIDOL UNIVERSITY Healthcare Supply Chain & Logistics Research Consultancy Training 43

44 Our Inspiration: Material & Information Flows Manufacturer Logistics Distributor Healthcare Provider (Hospital, Clinic, etc.) Consumer (Patient) Material Flows Information Flows (Ref: GS1 Healthcare) 44

45 Traceability (Tracking) (Tracing) Manufacturer Logistics Distributor Healthcare Provider (Hospital, Clinic, etc.) Consumer (Patient) 45

46 Instead of waiting for the policy... We start the journey by RESEARCH (FOR CHANGE) 46

47 Healthcare Supply Chain Stakeholder Assurance Company National Health Security Office (NHSO) The Comptroller General's Department (CGD) Funds Export Social Security Office Initial substance manufacturers, Semi-finished product (foreign) Active ingredient Additive ingredient Package material (Raw material) Customs Thai Food and Drug Administration (FDA) Customs Manufacturer/Repacker (in-house) The Excise Department Marketing with suppliers Royal Thai Police In-house marketing Distributor The Comptroller General's Department (CGD) Hospitals Clinics Drug stores Patients Finished product (foreign) Finished Good Customs Importer Others e.g. Department stores, Convenient stores, etc. Customers In-house marketing Public and private Public and private The Government Pharmaceutical Organization (GPO) Defense Pharmaceutical Factory Hospital in-house production 47

48 From Our Research, To Achieve Supply Chain 1. identify the uniqueness of drugs and medical materials to communicate through the supply chain Manufacturer (Drug & medical Device) Logistics Distributor Healthcare Provider (Hospital, Clinic, etc.) Consumer + (Patient) 2. Develop a product catalogue to provide standard data which is useable to all players in the supply chain Standard barcode Product Catalogue 48

49 Topic AS-IS Problem Impact Standardized Code Too many Standard Code Current Situation No mean to communicate Unable to refer to the same entity No traceability Standardized Data Exchange Fragmented Database No synchronized integrated data No quick response High Operating Cost No traceability Communicate 49

50 WE NEED A ROADMAP Business Intelligence / Big Data Traceability EDI Standard Data Exchange Product Catalogue Harmonized Code Global Standard 50

51 What we are working on... 1) Product Catalogue NMPCD (National Medicinal Product Catalogue Database) Drug 25,000 items Codes mapping No one wants to give up their own codes. FDA code DC 24 (MOPH) GTIN TMT 51

52 NMPCD (National Medicinal Product Catalogue Database) DC 24 FDA Codes request NMPCD Return all codes TMT GTIN 52

53 2) - MMIS (Material Management Information System) - EDI Wards using the data Master data Master data Standardization Electronic Data Interchange (EDI) Portal encrypt/decrypt data between senders and receivers Standardization Standardization Suppliers Hospital Product Catalogue Traceability Remarks Developing National Database, healthcare information system and increasing patient safety in drug consumption (TRF-NRCT., ) Implementation of Electronic Data Interchange In Healthcare Supply Chain (TRF, 2013) A Drug Traceability for Enhancing Healthcare Logistics and Supply Chain Management in Thailand (TRF-NRCT., 2013) 53 53

54 EDI Solution Using Product Catalogue Current Practice Solution Suppliers 1 Suppliers 1 EDI Message 2 Suppliers 2 EDI Portal Suppliers 2 Hospital Suppliers 3 Hospital Standardization Suppliers 3 Product Catalogue Suppliers n Suppliers n 54

55 Big Data Big Data Big Data Healthcare Logistics - VMI - e-procurement Private Government Data Log Track & Trace EDI Hospital MMIS Barcode Hunting Data Sharing (Public/Private) NMPCD e-catalog Information Data Sharing (Public/Private) Codes mapping CODES DC 24 TMT GTIN FDA ++ Attributes Information 55

56 GET PEOPLE INVOLVED MOU (MOPH, Mahidol University, FDA, Pilot hospitals, NRCT) 28 November

57 Action Plan EDI NMPCD Track and Traceability Big Data Digital Healthcare Logistics 57

58 VDO: Supply Chain and Logistics management 58

59 Lesson Learned 8 years effort Think Big... Start Small. Proof of concept Top down policy Be Patient and Brave 59

60 Thank you Centre of Logistics Management and Healthcare Supply Chain (LogHealth), Mahidol University 25/25 Phuttamonthon Sai 4 Rd., Salaya, Phuttamonthon, Nakhon Prathom, 73170, Thailand Tel. (662) Fax. (662) loghealthmahidol@gmail.com, oploghealth@mahidol.ac.th Website:

61 Discussion Catherine Koetz Industry Manager, Healthcare GS1 Australia Sarah Lankshear Operations Manager Master Data & Analysis, Stryker South Pacific, Australia Dr. Eric Hans Eddes, GastroIntestinal and Oncological Surgeon, Deventer Ziekenhuis, Director Dutch Institute for Clinical Auditing, The Netherlands Dr. Duangpun Kritchanchai, Associate Professor, Mahidol University, Thailand GS1 2018

62 Contact details Pete Alvarez GS1 Global Office Senior Director, Identification & Master Data, Healthcare GS1 2018