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Perspectives on Assessments: Health Indicators in PHIN Certification
Planning for PHIN Certification: A Small State’s Experience New Hampshire DHHS HLN Consulting, LLC® PHIN Conference 2008 Perspectives on Assessments: Health Indicators in PHIN Certification August 26, 2008
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Agenda Background Project Scope Approach Narrative
System Inventory Database Findings and Roadmap 4/20/2019
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Background In the spring of 2008, the State of New Hampshire Department of Health and Human Services (DHHS) partnered with HLN Consulting, LLC (HLN) to study the current level of compliance with PHIN 2.0 requirements. The primary objective of this project was to deliver a gap analysis for PHIN compliance, and a roadmap for the State to begin to close that gap. 4/20/2019
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Project Scope Goal: Develop a gap analysis for PHIN compliance and a roadmap to begin closing the gap Strategic approach: High-level principles and security strategies and Tactical approach: Specific systems recommendations Challenge: PHIN requirements represent a “moving target” 4/20/2019
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Remember PHIN “1.0”? Six Functional Areas Early Event Detection
Outbreak Management Connecting Laboratory Systems Countermeasure and Response Administration Partner Communication and Alerting Cross-Functional Components Message construction, routing, transport, parsing; Directory; OID; vocabulary, data model, security 4/20/2019
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PHIN 2.0 Reorganize – simplify – consolidate
Focus on messaging, directory, security Expand scope beyond preparedness 5 PHIN Requirements Message Composition Message Send Message Receive Directory Services Security PHIN Certifications – work in progress Notification messages to CDC, Alerting, Directory 4/20/2019
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PHIN & Project Scope – Approach
Project is “Not just about PHIN” Develop cross-functional architecture principles and priorities – shared services; person matching, reporting, AAA, vocabulary, messaging, etc. Not all requirements receive same focus For example – #5 Security – leverage OIT strengths PHIN Certifications are “moving target” – develop guidelines/standards to anticipate 4/20/2019
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High-level Approach 4/20/2019
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Participation Plan Governance Structure 4/20/2019
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Project Phases Initial Information Gathering
Key Tasks Initial Information Gathering Develop Gap Analysis Methodology and Tools Conduct Review/Gap Analysis Develop Options and Recommendations Infrastructure/Architecture Systems 4/20/2019
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Project Phases Initial Information Gathering
Key Tasks Initial Information Gathering Develop Gap Analysis Methodology and Tools Conduct Review/Gap Analysis Develop Options and Recommendations Infrastructure/Architecture Systems 4/20/2019
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System Inventory Database
Web-based system inventory application developed and customized for this project Interview tracking System list Gap Analysis tool Collaborative use Initial population by HLN team Access to NH Core Team File repository Scope This project only, or ongoing use 4/20/2019
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Project Phases Initial Information Gathering
Key Tasks Initial Information Gathering Develop Gap Analysis Methodology and Tools Conduct Review/Gap Analysis Develop Options and Recommendations Infrastructure/Architecture Systems 4/20/2019
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Facts and Findings at-a-glance
83 total systems documented 16 future, 4 current enhancements, 1 retired 46 in PHIN 1.0 functional areas 27 systems in-house with low architecture compatibility “Fairly typical proliferation of standalone systems” 22 systems identified as “opportunity areas” 15 are in PHIN 1.0 functional areas 5 are ASP systems Hosting model: 18 ASP systems 4/20/2019
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Inventory Database: Systems at-a-glance
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Hosting Configuration
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Architecture Compatibility
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Interoperability Potential
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Project Phases Initial Information Gathering
Key Tasks Initial Information Gathering Develop Gap Analysis Methodology and Tools Conduct Review/Gap Analysis Develop Options and Recommendations Infrastructure/Architecture Systems Revisit Vision & Goals Establish Functional Priorities Evaluate Options 4/20/2019
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Functional Priorities
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Opportunities Chart Model Systems, Lower Priority Keystone Systems
Low Priority, Low Potential Problem Areas 4/20/2019
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Model Comparison In the center are those three interoperability objectives we discussed earlier. They exist along a continuum that has certain attributes. First are a set of data attributes which lay in under these three objectives. Scope of data refers to the level of detail in the data itself and gets less detailed and more summarized as you move from left to right – from individual/person-specific data to aggregated data about groups of people to benchmark data which is often external to the organization and used by managers for comparison and assessment. Timeliness of data refers to the currency/immediacy of data and gets less frequent as you move from left to right. Real-time data is available between systems immediately; periodic data is available at some less frequent interval relevant to the particular need (could be daily, weekly, monthly, whatever); Occasional data is available even less frequently. Next we have a set of systems attributes which sit above the three objectives (no reason these are above versus below – just a visual thing). Application Interoperability Strategy refers to the dominant style of application use, and moves further from the user’s existing applications as you move to the left. A Portal Application is usually a new application that tries to bring together data from many systems. It can be quite useful, but there is often a tension between the desire to use the neat features of the portal versus the comfortable feature of existing applications. Query applications tend to be separate and different from what the typical user is used to in their existing applications. Data Interoperability Strategy refers to the dominant style of technical architecture to support each type of interoperability. SOA (Service-oriented Architecture) uses component-based software building blocks to enable systems to interoperate through a standard set of interfaces. A Warehouse model aggregates data together from multiple sources (remember the slide above on that) and a Hybrid model uses elements of different approaches to achieve interoperability. 4/20/2019
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Architecture for Interoperability
Address needs across the interoperability spectrum Integration engine as hub for standards-based messages Single pathway for data in/out of the department Service Oriented Architecture (SOA): long-term goal Warehouse and portal for short-term needs Core requirements (messaging, vocabulary, security) Web-based collaboration tools and content management Systems Inventory Database 4/20/2019
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Building NH PHIN Roadmap:
Enhance systems to enable PHIN messaging for Lead, TB, and Varicella. Practical, achievable set of initial projects on the road towards the recommended architecture PHIN Directory Incremental improvements to HAN Incremental progress towards overarching goals Unified messaging Enterprise-class systems Continued investment in Data Warehouse, LIMS migration, AHEDD Systems Inventory 4/20/2019
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Action Steps Execute roadmap
Apply the core requirements to new acquisitions Leverage existing assets where possible Periodically re-assess Remain flexible and prepared for new opportunities Use the System Inventory Database to its full potential Participate in Health Information Exchange and Health Data Standards efforts 4/20/2019
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