• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Life Sciences
  • Investments
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage

HSBlox Unveils AI-Powered EMPI Solution to Ensure Secure Patient ID Matching & Sharing

by Fred Pennic 06/26/2018 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Medical Records_Healthcare Data_Health Data

HSBlox’s new Enterprise-wide Master Patient Index (EMPI) utilizes machine learning to improve patient safety with secure, accurate sharing of patient data throughout the healthcare landscape.

HSBlox, a healthcare blockchain-focused company that is bringing innovation and transparent economics to the healthcare ecosystem, today announced the launch of its SmartMPI solution, which utilizes machine learning to provide next-generation patient ID matching and secure, transparent sharing of patient data across the care continuum, solidifying the foundation for longitudinal patient records. The solution’s high level of accuracy in patient identification contributes to decreased preventable medical errors, better medication management, and increased time and cost savings for providers due to ease of data sharing and the avoidance of duplicate records.  

The Importance of Accurate Patient Identification

Ensuring In a fragmented industry with a multitude of disparate organizations and health systems, patient medical records are often dispersed across multiple providers. Additionally, the same health system often maintains multiple records for the same patient, which can lead to delays in patient care, medication management challenges and billing issues. In the absence of a national patient identifier, solutions for enterprise-wide patient matching, such as EMPI, drive comprehensive, correct patient data sharing across concurrent care delivery modalities and technologies, elevating patient care delivery, efficiencies and outcomes. 

According to a study by Johns Hopkins University, preventable medical errors are the third leading cause of death in the U.S., and frequently can be linked to inaccurate patient data. In addition, approximately 33 percent of all denied claims are associated with inaccurate patient identification, which costs the average hospital $1.5 million and the U.S. healthcare system over $6 billion annually, according to a survey from Black Book Research.  

SmartMPI Overview

SmartMPI is a machine learning solution that analyzes and consolidates patient data from multiple systems—including disparate EHRs, medical charts, e-prescribing technologies, clinical documentation solutions and revenue cycle management platforms—resulting in longitudinal patient records that can be transparently shared among the patient’s care team, optimizing care coordination. Furthermore, the solution provides detailed analytics and a way to address these duplicates in a phased approach. It also allows for merge/unmerge capabilities which can be automated based on configurable thresholds.  Streamlined workflows and a simple implementation and deployment model also lead to heightened efficiencies for the multiple organizations involved in the patient’s care journey. 

“Hospitals deal with hundreds of thousands, and sometimes millions, of electronic patient records,” said Navneet Verma, director of data science for HSBlox. “In today’s healthcare climate of consolidation among physician practices—and mergers and acquisitions among health systems—many organizations are facing challenging migrations of critical patient data from one EHR to another, significantly increasing the need for effective solutions for patient matching, such as SmartMPI.”

 

“HSBlox’s SmartMPI solution has achieved the highest degree of accuracy for patient matching, which is essential for healthcare innovations,” said Verma. “In scenarios where data is being consolidated from multiple constituents, a secure, unique patient identifier is required— or bad data will be input. This leads  to inaccurate or at least incomplete data sharing—the worst scenario for patient care,” added Verma. “We’re thrilled to make SmartMPI generally available to healthcare organizations of all sizes, ensuring that each provider is empowered to deliver the best patient care.”

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tagged With: Artificial Intelligence, Healthcare Blockchain, HSBlox, Machine Learning, National Patient Identifier, patient ID matching, Revenue Cycle Management, secure patient data

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

Featured Interview

Reach7 Diabetes Studios Founder Chun Yong on Reimagining Chronic Care with a Concierge Medical Model

Most-Read

HHS Finalizes HTI-4 Rule: Prior Authorization & E-Prescribing Interoperability

HHS Finalizes HTI-4 Rule: Prior Authorization & E-Prescribing Interoperability

Meaningful Use Penalties_Meaningful Use_Partial Code Free_Senators Urge CMS to Establish Clear Metrics for ICD-10 Testing

CMS Finalizes TEAM Model: A New Era of Value-Based Surgical Care

White House Event Unveils CMS Health Tech Ecosystem Initiative

White House Event Unveils CMS Health Tech Ecosystem Initiative

Digital Health Faces Q2'25 Pullback: Funding Falls to 5-Year Low, But AI Dominates and $1B+ IPOs Emerge

Healthcare Investment Shifts in 1H 2025: AI Remains a Bright Spot Amidst Fundraising Decline

Digital Health Faces Q2'25 Pullback: Funding Falls to 5-Year Low

Digital Health Faces Q2’25 Pullback: Funding Falls to 5-Year Low

Beyond the Hype: Building AI Systems in Healthcare Where Hallucinations Are Not an Option

Beyond the Hype: Building AI Systems in Healthcare Where Hallucinations Are Not an Option

Health IT Sector Navigates Policy Turbulence with Resilient M&A

Health IT’s New Chapter: IPOs Return, Resilient M&A, Valuations Rise in 1H 2025

PwC Report: US Medical Cost Trend to Remain Elevated at 8.5% in 2026

PwC Report: US Medical Cost Trend to Remain Elevated at 8.5% in 2026

Philips Launches ECG AI Marketplace, Partnering with Anumana to Enhance Cardiac Care with AI-Powered Diagnostics

Philips Launches ECG AI Marketplace, Partnering with Anumana to Enhance Cardiac Care with AI-Powered Diagnostics

WeightWatchers Emerges from Bankruptcy, Launches New Menopause Program

WeightWatchers Emerges from Bankruptcy, Launches New Menopause Program

Secondary Sidebar

Footer

Company

  • About Us
  • Advertise with Us
  • Reprints and Permissions
  • Submit An Op-Ed
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2025. HIT Consultant Media. All Rights Reserved. Privacy Policy |