LO1_LO2_Quiz1.pdf

HIM 4203 Health Informatics II Strategic planning of Health Information System (HIS) Strategic Information Systems Planning The process of identifying and assigning priorities to a set of computer applications that will assist an organization in executing its business plans and achieving its strateg...

HIM 4203 Health Informatics II Strategic planning of Health Information System (HIS) Strategic Information Systems Planning The process of identifying and assigning priorities to a set of computer applications that will assist an organization in executing its business plans and achieving its strategic goals and objectives Strategic Information Systems Planning Purpose of Strategic IS Planning To align information systems goals with strategic goals and objectives of the organization To define specific information requirements and priorities To define the information technology infrastructure of the organization To develop a budget for resources allocation Strategic Information Systems Planning Strategic Alignment with Organizational goals and objectives The strategic IS plan should address questions like: How can IT be used to generate new services in response to market demands? How can IT be used to distinguish among services provided by the organization from those of competitors? Which computer applications and supporting technology are needed to make the new strategy work? Strategic Information Systems Planning Information requirements and priorities The IS plan should identify the major types of information required to support strategic objectives and establish priorities for installation of specific computer applications for the time period covered by the plan Strategic Information Systems Planning IT Infrastructure The health services organization must develop blueprints for its IT infrastructure. Hardware architecture, network communications, degree of centralization or decentralization of computing facilities, and types of computer software required to support the network Strategic Information Systems Planning IT Infrastructure The following IT infrastructure priorities were identified: Client/server network architecture Optical disk storage and data warehouse of clinical records Interface engines for linking the information systems of members of integrated delivery systems Wide-area fiber-optic networks Relational databases Multimedia workstations Strategic Information Systems Planning Budgeting and Resources Allocation Provide data for estimating resources required to meet the objectives and priorities established through the planning process Capital budgets Vs. Operational budgets Strategic Information Systems Planning Organizing the planning effort Development of an overall master plan for IS development is an essential first step in the process The CEO should take direct responsibility for organizing the planning effort IS steering committee Consideration should be given to the use of outside consultants Board of management CEO IS Steering Committee 1. Oversee IS planning 2. Link IS planning to strategic plans of the organization 3. Establish priorities of system development Subcommittees Priorities for new Replacement systems Specifications for IT infrastructure Capital and operating Budgeting Strategic Information Systems Planning The following factors should be considered in selecting IS consultants: Independence and objectivity: exclusive focus on interests of the client Healthcare expertise: understanding of healthcare business and clinical issues Resources: sufficient breadth and depth of resources to complete the assignment without “on-the-job training” Effective personality: appropriate mix of character traits and skills Strategic Information Systems Planning Elements of an IS Master Plan 1. Statement of corporate/institutional goals and objectives 2. Statement of information systems goals and objectives 1. Management information needs 2. Critical success factors 3. Information priorities Strategic Information Systems Planning Elements of an IS Master Plan 3. 4. Priorities of the applications portfolio 1. Clinical 2. Administrative 3. Decision support Specification of overall systems architecture and infrastructure 1. Level of distribution (centralized Vs. decentralized) 2. Network architecture 3. Data location (central data warehouse to total distribution) 4. Database security and control requirements Strategic Information Systems Planning Elements of an IS Master Plan 5. Software development plan 1. 2. 3. 4. 6. Commercial packages In-house development Tailor-made applications through contracting Combinations of the above IS management plan 1. 2. 3. 4. Central IS staffing Outsourcing Limited central staffing Combinations of the above Strategic Information Systems Planning Elements of an IS Master Plan 7. Statement of resource requirements 1. Capital budget (hardware, software, network communications equipment) 2. Operating budget (staff, supplies, consultants, training, etc) Strategic Information Systems Planning Goals & Objectives Planning period is usually 2-5 years IS goals and objectives should be aligned with the strategic objectives of the organization The Continuous Quality Improvement example of prioritizing→special attention paid to medical records; clinical protocols; incident reporting; and measures of patient, physician, and employee satisfaction Critical Success Factors (CSF) Strategic Information Systems Planning Goals & Objectives IS objectives should be as specific as possible and should flow from a review of strategic priorities as well as an analysis of deficiencies and gaps in current information process Examples of specific objectives: ▫ Information systems should be designed such that all records from the master patient index file are available online to all physicians ▫ Information systems should be designed such that all diagnostic test results are available within two hours after the tests have been completed Strategic Information Systems Planning Applications Priority List Documentation of objectives statement will help the steering committee in prioritizing computer applications Priority list and resources Strategic Information Systems Planning System Architecture The plan must specify an overall system architecture and infrastructure to include: 1. The degree to which computing will be centralized or decentralized 2. Network architecture 3. Data storage and security 4. Interfacing different applications Strategic Information Systems Planning Software development plan Employing large number of IT staff Vs. ready made software packages (of-the-shelf) A combination of both ? Strategic Information Systems Planning Information Systems Management Plan Most health services organization still employ an inhouse staff for system operation and management Centralized technical system management staff advantages: ▫ Reduction in the number of technical staff Distributed technical system management staff advantages: ▫ Offers the potential for increased support and user involvement in system development and operation Strategic Information Systems Planning Information Systems Management Plan Outsourcing of IS functions cost might be high and may tend to generate too much distance between users and technical systems specialists Strategic Information Systems Planning Statement of Resource Requirements The final element of the IS plan Capital budget: 5-10 years projections, includes hardware, software, and network and telecommunication equipment Operating budget: includes costs for staff, supplies, and materials, consultants, training, programs, and other recurring expenses Both budgets should be updated annually Strategic Information Systems Planning Review and approval of the plan The strategic plan for IS development must be a dynamic instrument that is reviewed periodically and updated (at least once a year). Strategic Information Systems Planning Organization-wide Information System Standards Data security policies Data security involves two essential elements: 1. Protecting against system failures or external catastrophic events (fire, storms,…etc.) 2. Controlling access to computer files by unauthorized personnel Strategic Information Systems Planning Data security policies Critical data files should be copied to removable disks/tapes and stored in a secure location The CIO should develop a data backup plan for approval by the steering committee Data can also be lost through computer viruses Protecting data confidentiality: 1. Physical security (keys, badges) 2. Technical controls over access (passwords, encryption, audit logs) 3. Management policies enforced in all organizational units (written security policy, employee training, disciplinary actions for violations) Strategic Information Systems Planning Data Standardization System integration is an important element of IS strategic planning Electronic data exchange cannot occur without some level of standardization of data structures used in computer applications Examples of projects to standardize electronic data interchange: ▫ American National Standards Institute (ANSI) ▫ Health Industry Bar Code Supplier Labeling Standard (HIBC) ▫ Health Level-7 (HL7) Standard for Healthcare Electronic Data Transmission ▫ MEDIX, the Institute of Electrical and Electronics Engineers (IEEEE) Committee for medical data interchange Strategic Information Systems Planning The HL7 & MEDIX projects’ objective is to develop a comprehensive set of data standards for sharing clinical information within and across healthcare organizations. HL7 was initiated in 1987 It started with developing standards of interfacing departmental computer applications in hospitals, and more recently expanded efforts to develop standards for exchange among different types of organization HL7 Strategic Information Systems Planning Hardware and Software Standards The IS steering committee should oversee the development of a broad set of policies related to the acquisition of computer hardware, software, and networks communication equipment Reasons for central review and approval of all computer hardware and software purchases: ▫ Helps to ensure compatibility with standards (HL7) ▫ Ensures that data terminals & workstations use common OS ▫ Cost advantages through acquisition of site licenses for multiple users of common packages ▫ Available technical support ▫ Prevent illegal use of unlicensed software Strategic Information Systems Planning Policies on use of the Internet: Policies on creation of home pages Policies related to security of information on the Internet Legal protection of intellectual property on the Internet Policies on controlling employee use and potential abuse of the system Strategic Information Systems Planning Data security policies and procedures are particularly important if the Internet is to be used for internal communications (intranet) or sharing of information among organizational units. Polices to regulate employee use of the Internet and e-mail. Strategic Information Systems Planning Strategic IS Planning for Integrated Delivery Systems Vertically integrated organizations IS must be patient-centered in order to aggregate data from the various medical care units, and skilled nursing home facilities. Provision of comparative data Standardization HIM 4203 Health Informatics II DevOps LO.1-3 DevOps vs SDLC Objective: 1. Define DevOps and explain the key principles and practices of the DevOps methodology 2. Identify challenges and issues with legacy SDLC approaches in modern software environments 3. Discuss how adopting DevOps culture, automation practices, and tools can help accelerate delivery, improve quality, and enhance IT productivity DevOps vs SDLC DevOps vs SDLC DevOps is a set of practices combining software development (Dev) and IT operations (Ops). It aims to shorten systems development life cycles and provide continuous delivery of highquality software. Emphasizes: - Collaboration between Dev and Ops teams - Tight integration of their workflows and tools - Extensive automation across the development pipeline DevOps vs SDLC Key Goals: - Increase the speed of delivering features and updates - Improve the quality and reliability of software releases - Quickly diagnose and resolve defects or production issues - Enable faster innovation by reducing time to market Core Principles: - Communication and collaboration - Continuous integration and testing - Automated deployments - Infrastructure as code - Monitoring and observability - A culture that values flexibility and adaptation to change DevOps vs SDLC Definition: - SDLC stands for Software Development Life Cycle. It is a structured, linear method of building software that moves the process through several defined phases. Phases: 1. Requirements - Gather and define features and functions for the application 2. Design - Outline application structure, interfaces, data, architecture 3. Build/Develop - Code and program the software based on the design 4. Test - Systematically test for defects and validate against requirements 5. Deploy - Deliver the product to production environments 6. Maintain - Provide ongoing support/maintenance, updates, fixes DevOps vs SDLC Linear Process: - SDLC follows a sequential waterfall model. Each phase has to fully complete before moving to next phase in a linear order. Waterfall Model: - Strictly sequential phases for gathering requirements, software design, implementation, testing, installation, maintenance - Output of one phase becomes the input for the next - No overlapping phases, movement flows linearly downward DevOps vs SDLC Challenges of SDLC Slow Process: - Significant lags and delays between phases since they are run sequentially - If issues found during testing, need to cycle back through previous phases - Lengthy development cycles stretching 6 months to 1+ year Lack of Communication: - Teams operate independently during different phases - Developers throw requirements "over the wall" with limited collaboration - Testers get code drops to test without understanding code or design DevOps vs SDLC Challenges of SDLC Manual Processes: - Many tasks like builds, deployments, testing done manually - No automation across pipeline leads to errors, delays - Time wasted on repeating mundane tasks vs innovating Other Challenges: - Changing requirements not accommodated well after design phase - Risk of finding critical issues late in testing - Disconnect between technical teams and business needs - Budget/timeline overruns due to lack of visibility DevOps vs SDLC What Makes DevOps Different? Continuous Development: - Developers work in small batches committing code frequently - Emphasizes constant cycles of coding, building, testing - Enables rapid feedback if issues are found Continuous Testing: - Testing automated at every stage including unit, integration, UI, performance - Shifts testing left rather than just end of cycle - Provides safety nets for regular code commits DevOps vs SDLC What Makes DevOps Different? Continuous Integration: - Use of integrated tools to automate compiling, building, packaging code - Developers merge code into shared branches extremely often - Detect integration issues early when easier to diagnose Continuous Deployment: - Automate steps of infrastructure config, deploying builds to all envs - Single click deployments enable high release rates - Pipelines model flow from commit to production DevOps vs SDLC What Makes DevOps Different? Automated Workflows: - Automate manual tasks like deployments, testing, infrastructure builds - Treats infrastructure as code for consistency across environments Focus on Collaboration: - Break down silos through collaboration across teams - Shared goals and vision ties together distributed teams - Culture focused on open communication and tearing down barriers DevOps vs SDLC Key Differences between SDLD and DevOps Linear vs. Continuous: - SDLC: Sequential phase-based waterfall methodology - DevOps: Constant iteration through integrated development, testing, deployment Manual vs. Automated: - SDLC: Manual handoffs, testing, deployments - DevOps: End-to-end automation of steps from code to production Lack of Communication vs. Collaboration: - SDLC: Silos between teams, "Throw over wall" mentality - DevOps: Breaks down barriers between teams. Promotes open channels DevOps vs SDLC Key Differences between SDLD and DevOps Requirements-Driven vs. Value-Driven: - SDLC: Driven by upfront requirements gathering - DevOps: Focus on rapid experimentation and learning Quality Assurance vs. Quality Culture - SDLC: Test quality in at end - DevOps: Builds in quality at each stage Slow Feedback vs. Rapid Feedback Loops - SDLC: Long dev cycles delays customer feedback - DevOps: Fast iterations and feature experimentation What is DevOps? - Definition of DevOps as an integration of development and operations. - Focus on collaborative, agile methodologies. - Aim to improve software delivery speed and quality. - Combines cultural philosophies, practices, and tools. Benefits of Adopting DevOps - Faster delivery of features and improved efficiency. - More stable operating environments. - Improved communication and collaboration. - Enhanced innovation and competitiveness. Key Principles of DevOps - Automation of software development processes. - Continuous integration and delivery. - Emphasis on team collaboration. - Strong focus on customer feedback and experience. Overview of the DevOps Lifecycle - Iterative and collaborative process. - Key stages: Plan, Code, Build, Test, Release, Deploy, Operate, Monitor. - Continuous improvement and agility. - Integration of development and operations teams. DevOps Planning Phase - Collaboration with stakeholders to define requirements. - Creation of a roadmap and setting project goals. - Use of tools like Jira for task management. - Emphasis on understanding stakeholders' needs. DevOps Coding Phase - Development of application code. - Focus on maintainable and testable code. - Use of version control systems like Git. - Implementing coding best practices. DevOps Build Phase - Compilation of code into binaries or packages. - Running unit tests and packaging applications. - Tools like Jenkins for automating the build process. - Ensuring code changes are regularly integrated and tested. Jenkins Tool: Open-source automation server used to build, test, deploy software projects continuously. Enables implement DevOps pipelines. DevOps Testing Phase - Ensuring application meets quality standards. - Various levels of testing: unit, integration, acceptance. - Automated testing using tools like Selenium. - Continuous testing throughout development. Selenium Tool: Selenium is an automated testing framework used to validate functionality and behavior of web apps efficiently. DevOps Releasing Phase - Final checks for production readiness. - Resolving identified issues before deployment. - Using tools like Jenkins for automating release processes. - Ensuring application meets all quality standards. Jenkins Tool: Open-source automation server used to build, test, deploy software projects continuously. Enables implement DevOps pipelines. DevOps Deployment Phase - Application deployment to environments (staging, production). - Infrastructure setup and application code deployment. - Tools like Ansible for deployment automation. Ansible Tool: - Automating provisioning & configuration of infrastructure – setting up servers, cloud resources, networks - Application deployment automation - deploying apps to production environments DevOps Operation Phase - Monitoring and maintaining application in production. - Focus on performance, availability, and security. - Using monitoring tools like Nagios, Prometheus. - Responding to incidents and issues. Prometheus Tool: - Open-source monitoring and alerting toolkit originally built at SoundCloud - Provides metrics aggregation, visualization, alerting for infrastructure and apps Importance of Continuous Monitoring in DevOps - Early detection of problems. - Maintaining high system performance. - Insights into user behavior and system usage. - Essential for proactive maintenance and improvement. Integration in DevOps Integration in DevOps refers to the close alignment and collaboration between cross-functional teams across the software delivery lifecycle including development, testing, operations, security, and business teams in order to enable continuous development and deployment of applications. It Breaks down silos between teams through close communication and shared ownership Continuous Integration in DevOps - Integration of code changes into a shared repository. - Automated build and test processes. - Detecting problems early. - Reducing integration issues. Integration Tools in DevOps - Automated tools for build and test. - Examples: Jenkins, Travis CI. - Streamlining code integration. - Enhancing software quality. Travis Tool: - It is used for automatically building and testing projects hosted on GitHub whenever code is pushed - Deploying applications to staging/production environments after passing tests Automation in Testing in DevOps - Reducing manual testing efforts. - Faster feedback on new changes. - Increasing test coverage. - Tools for automation: TestNG, Cucumber. TestNG Tool: - It is a popular open-source automated testing framework used for testing Java applications. - It is used for Functional, integration, and end-to-end testing of Java code Role of Testing in DevOps - Ensuring software meets quality standards. - Continuous testing throughout the lifecycle. - Automated and integrated testing approaches. - Role in feedback and improvement. Deployment in DevOps - Automated and Consistent Across Environments - Infrastructure-as-code templates ensure standard – config - Minimizes configuration drift and errors Key focus is on extensive automation, progressive monitoring, and self-service access to minimize friction between development and production environments enabling continuous delivery at high velocity. Tools for Continuous Deployment in DevOps - Automating deployment processes. - Tools: Docker, Kubernetes. - Ensuring consistent and reliable deployments. - Scalability and management of application deployment. Kubernetes Tool: - Open-source system for automating deployment, scaling, and management of containerized applications - Provides tools for managing container lifecycles and services across clusters of hosts Challenges in Continuous Deployment in DevOps - Managing deployment risks. - Balancing speed with stability. - Handling complex deployment scenarios. - Ensuring security and compliance. Continuous Deployment in DevOps Real-World Examples - Automated testing and validation. - Incremental deployment strategies. - Monitoring and rollback capabilities. - Collaboration between development and operations. Best Practices in Continuous Deployment in DevOps Case Studies Case Study 1: Etsy - Implemented continuous deployment in 2016 across web and mobile apps - New code changes deployed to production over 150 times a day - Led to measurable improvements in key business metrics: * 20% increase in checkout conversion rates * 110% more page views per browser session Best Practices in Continuous Deployment in DevOps Case Studies Case Study 2: Amazon - Continuous delivery ingrained within Amazon DNA since early days - New code deployed every 11.6 seconds on average - Culture focused on automation, small single-purpose services Best Practices in Continuous Deployment in DevOps Case Studies Case Study 3: Netflix - Pioneered continuous delivery at scale with microservices - Early adopter of containerization with custom scaffolding - Failed deploys are automatically rolled back thanks to canary process Containerization: Containerization refers to packaging application code with its runtime dependencies into standardized units that can run in isolation on any infrastructure. Canary Process: Canary process means rolling out a new software version to a subset users first before making it available to everyone. Benefits of Coinerization in DevOps - Portability - Can deploy on any OS (Linux, Windows, Mac) - Ensure Consistency - Container is exactly the same regardless of where it runs - Isolation - Applications run in independent containers, avoids conflicts - Scalability - Easily scale by running multiple instances of a container Benefits of the Canary Process in DevOps - Minimizes risk - issues only impact a small group of users - Get early warning indicators by monitoring key metrics - Easy to do automated or manual rollback - Builds confidence before wider release HIM 4203 Health Informatics II Business Requirements, System Design, RFI, RFP Vendor Selection, System Selection, Implementation & Integration, Testing, Deployment, Maintenance/Support LO.2 Objectives - Understand the process involved in conducting a thorough system evaluation and procurement/acquisition process alongside the implementation of the solution. - Understand the formal mechanisms such as RFI and RFP to enable structured vendor engagement - Select and integrate the best technology partner in stages to create a cohesive, efficient platform. - Utilize standard interfaces such as HL7 to ensure maximum compatibility between different systems. - Rely on detailed analytical methods for making informed decisions. - Manage the process through formal contracts to maintain clarity and responsibility throughout all phases. The Entire Process in a Nutshell ▫ Business Requirements Analysis ▫ System Design ▫ Vendor Selection ▫ Custom Development & Integration ▫ Testing ▫ Deployment / Implementation ▫ Maintenance / Support ▫ Closure Business Requirements Analysis ▫ In this phase, we identify business drivers and issues with current state workflows through stakeholder interviews. Document findings in a Business Requirements Document (BRD). Create detailed functional requirements specifications including process flows, use cases, integrations required using tools like process mapping and user stories. Describe non-functional requirements around performance, availability, security etc. Specify measurable metrics. Business Requirements Analysis cont.… ▫ Model core entities and attributes in data dictionary. Diagram data flows to/from planned system using data flow diagrams. Call out HL7/FHIR integration touchpoints. Define infrastructure environment requirements like server hardware, network diagrams etc. in a technical specification document. Build Cost/Benefit models factoring system development, training, support costs and expected efficiency or revenue gains for justification. RFI drafted to assess potential vendor solutions to meet requirements. The RFI (Request for Information) Stage ▫ Identify Project Goals & Must Haves: Clearly determine core project objectives, key functional requirements or problem set that new system aims to fulfill. Research Market & Capability Sets: Research the general vendor landscape and systems in the problem domain. Identify top players to target via RFI. Draft Initial RFI: List all information required about potential solutions including functionality, configurations, delivery models and company expertise/experience to gauge fits and gaps. The RFI (Request for Information) Stage Cont.. ▫ Refine & Finalize RFI: Workshop the draft RFI internally to include all aspects through multi lens view before finalizing to issue to market. Issue the RFI: Publish or directly send the comprehensive RFI to profiled list of target vendors for responses. Include clear guidelines and timeframe. Gather & Evaluate Responses: Assess returned RFIs using a pre-defined rating criteria on dimensions like functional match, implementation services, customer case studies etc. Shortlist Solutions: Based on total weighted scores (qual + quant factors), filter down prospective platforms and companies that strongly align with needs identified. Discard ill fits for next phase evaluation The RFP (Request for Proposal) Stage After the RFI (Request for Information) stage, the next key steps in the systems procurement process are typically: With the shortlisted vendors from the RFI stage, publish a detailed Request for Proposal (RFP) document outlining all functional, technical and project delivery requirements, pricing framework, terms and qualification criteria expected from potential suppliers. Hold a joint conference meeting with all participating RFP vendors to provide transparency on priorities, address common queries and clarify position on certain decision factors. Sets expectations. The RFP (Request for Proposal) Stage Cont.… ▫ As submitted proposals come in from vendors, review responses rigorously by cross-functional team on how well they meet set criteria along technology fit, services capability, company viability parameters and costs. Conduct Technical Demos with the top 2-3 vendors post proposal reviews, arrange exhaustive technical demonstrations focused on interoperability, use cases and integration flows to deeply evaluate system capabilities firsthand before finalizing choice. Enter into contract negotiations around pricing, license agreements, SLAs, customization rates, support models etc. based on insights gained from the selection cycle. Lock preferences. The Design Phase Prepare the Technical Specifications: - Analyze the current state infrastructure including servers, storage, network diagrams, data flows, integration touchpoints etc. - Define specifications of hardware components required for the new system like compute capacity, redundancy levels etc. - Outline relevant performance metrics like peak concurrent users, response times sought, future capacity growth outlooks. The Design Phase cont.… Prepare the Technical Specifications: - Describe compatibility prerequisites spanning databases, OS, browsers, security layers etc. - Specify integration & interfacing needs with existing enterprise systems and standards followed. Explain data retention policies. - Articulate non-functional expectations on dimensions like availability, DR needs, encryption algorithms used etc. - Describe customization constraints and product roadmap transparency requirements post implementation. The Design Phase cont.… Prepare the Technical Specifications: - Describe compatibility prerequisites spanning databases, OS, browsers, security layers etc. - Specify integration & interfacing needs with existing enterprise systems and standards followed. Explain data retention policies. - Articulate non-functional expectations on dimensions like availability, DR needs, encryption algorithms used etc. The Design Phase cont.… Defining Vendor Qualification & Services Criteria: - Outline related project experience prerequisites especially around similar integrations delivered - Specify exact composition of implementation teams requested with qualification criteria - Make training and support expectations explicit in terms of model, response times etc. - Request transition plans for knowledge transfer to internal teams for sustainability - Require tools and methodologies to be used for design, configuration management, issue tracking etc. - Mandate product development processes followed for transparency and IP protection - Quantify types and number of customer references to be submitted. Vendor Selection Evaluating Vendor Systems: - Compile completed RFP responses and score objectively against each criteria finalized in RFP around functionality match, technology platform attributes, company viability, customer evidence and services approach - Attend product demonstrations to review first hand against use cases called out in requirements specifications and evaluate the fitness. Review integration capability. - Request and verify customer references submitted by conducting independent outreach for direct feedback on vendor project delivery success, product stability etc. Vendor Selection Cont.… Selection and Contract Negotiations: - Develop a comparative analysis highlighting relative strengths and weaknesses per critical factors stated in RFP to facilitate discussions. - Thoroughly review contracts including SLA commitments, payment & customization terms, scope inclusions/exclusions, knowledge transfer expectations etc. - Ensure technical specifications compliance and exception handling methods confirmed in contracts Vendor Selection Cont.… Selection and Contract Negotiations: - Establish clear measures and checkpoints for success criteria demonstration by vendor. - Finalize all terms indicating timelines, rates for additional services requests beyond contract scope. - Ensure technical specifications compliance and exception handling methods confirmed in contracts. - Use market intelligence through advisors to negotiated favorable concessions in flexible areas Vendor Selection Cont.… Last Step in the Vendor Selection Process: - The selection process moves from stated plans to validated capability demonstration to gain full project clarity supported by contracts structured to drive accountability through service levels and statements of work.. Implementation & Integration HL7 Integration: - Set up a dedicated integration environment for building HL7 interfaces. - Install HL7 parser software (Integration Engine) and middleware needed for message handling. - Define interface specifications for all key HL7 messaging touchpoints identifying trigger events. - Build workflows to generate and route HL7 messages to external systems based on specifications Implementation & Integration Cont.… HL7 Integration: - Develop parsing logic to extract data elements from inbound HL7 interfacing systems. - Implement handling logic to process messages and derive internal system actions required. - Test end-to-end HL7 workflows simulating transactions, handle errors/retries/logs automatically. - Use HL7 testing tools to validate against standard conformance requirements. Implementation & Integration Cont.… Data Migration Implementation & Testing: - Analyze legacy databases to create extraction logic per entities and data model mappings. - Develop ETL scripts for necessary transformations required to migrate each data set identified including cleansing. - Build routines to load staging area database used for import into new system database. - Define mock test data sets across systems to validate migration programs end-to-end. Implementation & Integration Cont.… Data Migration Implementation & Testing: - Execute migration routines in controlled manner in staging environments iterating until quality benchmarks achieved. - Establish checkpoints per methodology finalized (phased, parallel etc) to freeze programs during rollout. - Tight integration workflows and robust data migration capabilities are pivotal for new system adoption demonstrating development rigor. Testing Integration Testing: - Set up dedicated test environment with test tooling as per the test plan. - Identify all integration touchpoints - HL7 and other systems. - Develop test scenarios covering end-to-end business flows across systems. - Simulate transactions triggering integration events per specifications. Testing Cont.… Integration Testing: - Monitor and validate data transitions through systems per expectations. - Perform negative testing by injecting invalid data, logical failures etc. - Measure overall defects and track to closure through multiple test cycles. - Retest integrations thoroughly post fixes until stability achieved. Testing Cont.… Vendor Support: - Form cross-functional team across vendor/client for collaborative testing. - Provide comprehensive requirements traceability matrix mapping covered functionality. - Submit detailed test case specifications that vendor assists executing. - Log issues in ticketing tool requiring code fixes, configuration changes, data updates. Testing Cont.… Vendor Support: - Vendor allocates experts resources to diagnose root causes. - New builds deployed to test environment upon resolution of prioritized defects. - Verify and close issues in ticketing tool to document resolutions. Deployment / Implementation Phased Rollout Planning: - Define workstreams spanning hardware, software, testing, data migration etc. - Break down implementation into logical phases targeting functionality sets, business units or regions. - Analyze dependencies between workstreams and phases to derive optimal sequencing. - Develop phase wise rollout schedule highlighting tasks, timelines and resource allocation. Deployment / Implementation cont.… Phased Rollout Planning: - Plan training, migration and support at phase level accounting for complexity. - Determine achievable milestones pre and post go-live for each phase to baseline. Deployment / Implementation Execution: - Simulate disaster recovery tests for high availability validation. - Load test and scale infrastructure components in pre -production for capacity planning. - Deliver focused training for pilot users including hands -on process walkthroughs. - Activate software services per phase activation plan and monitor health indicators. Deployment / Implementation cont.… Execution: - Manage legacy data and system transitions in alignment with platform onboarding. - Provide on-site specialist vendor assistance for transition troubleshooting. - Measure phase acceptance criteria demonstrating process and technology stability. - Incorporate feedback into next phase deployment strategies and plans. System Maintenance Vendor Support: - Contractually agree on stabilization period from vendor post go-live (typically 3-6 months). - Monitor system availability SLAs covering uptime, response times as per contract. - Allocate consultant resources to work closely with vendor for diagnosis, testing and signoffs. - Log tickets for bugs, issues requiring fixes that vendor is committed to resolving while onsite. System Maintenance Cont.… Vendor Support: - Verify implemented solutions before closing tickets postresolution. - Conduct periodic reviews of open issues by priority, ageing and actions planned. - Provide granular system usage data to size capacity and stability needs. System Maintenance Cont.… Enhancements Planning: - Gather new or advanced business functionality requirements from key stakeholders. - Prioritize enhancement backlog based on resources, costs vs business value. - Release roadmap for planning major and minor release upgrade cycles. - Detail out specifications for each item scheduled in release pipeline. System Maintenance Cont.… Enhancements Planning: - Assign internal owners to coordinate requirements clarification. - Estimate level of effort, breaking functional scope into development stories. - Plan staging of releases accounting for capability dependencies. - Proactive maintenance governance ensures continuity of committed service levels while delivering upgrades catering to evolving needs. Project Review & Closure Project Evaluation: - Evaluate project delivery as per contracted scope using metrics like budget variance, timeline adherence and quality benchmarks. - Conduct user satisfaction surveys to gauge productivity or workflow improvements after stabilization. - Highlight achievements vs goals across dimensions like adoption, ROI realization, user reported issues etc. - Identify areas of over/under performance relative to original projections. Project Review & Closure Cont. Project Evaluation: - Quantify total cost of ownership reduction through optimization efforts. - Estimate ongoing operational costs for steady state maintenance needs. Project Review & Closure Documenting Key Learnings: - Catalog all challenges faced during implementation and how resolved. - List process or technology innovations implemented for benefit recognition. - Describe mitigation strategies found effective when goals threatened. - Articulate enhancements desired for greater efficiency gains. - Quantify all custom tools, accelerators developed for leverage in future rollouts. Project Review & Closure Securing Vendor Commitments: - Lock-in all contract renewals options under support and warranty agreements. - Outline roadmap commitments for next gen upgrades, licensing needs etc. - Explore additional services like packaged custom capabilities for licensed reuse. - Negotiate preferential rates for add-on professional services. - Broad project reviews set the foundation for downstream success by confirming return realization, securing vendor partnerships and creating playbooks for repeating wins.