Healthcare Supply Information Maturity Model (H-SIMM) Eight stage (0-7) supply chain infrastructure model to support system improvement and personalized care.
Medical Error rd is Now the 3 Leading Cause of Death in North America.
633 people die per day due to medical error in the U.S. (Makary, 2016)
83,000 deaths linked to Medical Devices from 2008 to 2017
Product Traceability: Global Traceability of Product Failure In the case of the metal-on-metal joint implants it took 4–5 years before evidence was accumulated and reported. We are left with more than 500,000 patients with metal-on-metal prostheses in the USA and more than 40,000 in the UK who are at elevated risk of device failure, which will inevitably result in the burden of further surgical treatment as well as billions of dollars in costs to taxpayers (Lancet, 2015)
Significant Pressure to Find Value at the System Level to Achieve Sustainability
The Supply Chain Pathway to Personalized, Precision Health Care Delivery
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Healthcare Supply Information Maturity Model 5
Clinically Integrated Supply Chain Enables Transparency of Real World Data and Evidence of Value & Performance
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Healthcare Supply Information Maturity Model 6
Key Focus Areas of H-SIMM Automation: automation of data capture for products, care processes, clinician teams, procurement, traceability of products and supplies. Integration: clinical integration of supply chain expertise in clinical programs, automated data captured at point of care Data>Information>Knowledge: data captured at point of care, uploaded and translated into knowledge of forecast purchasing, productivity, to identify value, safety at point of care. Leadership: C-suite leaders view supply chain infrastructure as a strategic asset for the organization, mobilize teams to advance supply chain strategy.
This document contains proprietary information and intellectual property of HIMSS Analytics. Information contained herein may not be reproduced or disclosed under any circumstances without the express written permission of HIMSS Analytics. 2019 HIMSS Analytics. All rights reserved.
Healthcare Supply Information Maturity Model 7
Impact of Supply Chain Transformation in Global Health Systems Alberta Health Services (AHS), Canada • Integration of supply chain processes into clinical programs across the entire province • Integration into patient information system at point of care planned 2019 • Online Adverse event reporting system and performance dashboard
7:1 ROI to date | $301,438,786 in savings over 7 years in inventory only National Health Services, England (NHS), United Kingdom • Implemented supply chain infrastructure in six NHS trusts’ specialty programs, traceability of patients, providers, locations, products and outcomes • By 2021, implementation planned for all 148 trusts is expected to generate £1 billion in savings (£30 million/month) 4:1 expected by year 3 from inventory savings | £1,034,000,000 savings projected by year 7 (£30M/mon. all Trusts) | Equivalent of 16 FTE’s in labor savings/ Trust Mercy Health, United States • Integration of supply chain best practices into Perioperative program in 3 of 45 hospitals • Automated perioperative environments with point of care scanning – integrated supply chain team and clinician teams $1 billion in savings as a direct outcome of optimizing and transforming supply chain processes, most savings due to inventory management | 29.5% decline in labor costs and 33% decline in supply costs This document contains proprietary information and intellectual property of HIMSS Analytics. Information contained herein may not be reproduced or disclosed under any circumstances without the express written permission of HIMSS Analytics. 2019 HIMSS Analytics. All rights reserved.
Healthcare Supply Information Maturity Model 8
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