Fernandes Healthcare Insights brings over 30 years of consultative experience working with care delivery organizations, health plans, public sector organizations and industry leadership groups.
Lorraine Fernandes, RHIA, is an accomplished healthcare executive who has helped organizations define the strategy and value of building trusted data. Prior to establishing FHCI, Lorraine worked as the Global Healthcare Ambassador for IBM and Vice President of Healthcare for Initiate Systems providing her market experience and consultative skills to clients around the world.
Master Data Management (MDM), whether person, member, provider or location oriented, is where organizations start to build trusted data to meet enterprise goals. This core, mastered data transcends transactions, claims, care delivery, citizen services, and service encounters. However, realizing the benefit of MDM is frequently not understood, or not quantified, thus organizations question the investment. FHCI will assist organizations in identifying benefits, value, and optimized workflows that can be derived with MDM. Illustrative examples of a consulting scope include:
- Assess and categorize strategic priorities and initiatives that need mastered data
- Explore options and priorities for MDM deployment
- Quantify the cost of poor quality or inconsistent data
- Develop action plans that elaborates stakeholders and business users, , requirements, and the value of mastered data
- Design governance initiatives to complement MDM technology upgrades
- Design and evaluate RFPs/RFIs
Enterprise Master Person or Provider Index (EMPI)
EMPIs have existed in healthcare for more than two decades, providing a single view of person or provider data for care delivery or financial purposes. Today, this single view of data must support broader use cases such as population health, analytics, value-based payments, and research. FHCI has expertise with EMPI technologies whether a third party vendor or the EHR/HIS system. Additionally, we understand the broader market perspective relative to what organizations need from an EMPI. FHCI will:
- Evaluate if the EMPI is meeting the strategic and organization priorities, whether a “single vendor” EHR environment or heterogeneous IT environment
- Identify processes and workflows that should be using EMPI data, and business stakeholders
- Provide the critical business perspective to the design and implementation of a new EMPI, or the upgrade of existing technology
- Guide the design and evaluation of the RFPs/RFIs
Data Stewardship and Remediation
Applying stewardship or remediation activities to data ambiguity challenges is frequently one of the priority steps in building high quality, trusted data. Today, many organizations explore data enrichment through third parties or automated task resolution to supplement or expedite the human remediation activities. Whether building a stewardship team at a functional or enterprise level, or exploring data enrichment and technology enhancement, careful consideration of goals, costs, risks and value must be undertaken. FHCI works with clients to explore value, cost, best practices and options.
- Conduct a needs assessment for stewardship design, data enrichment, or automated task resolution
- Develop staffing models and associated budgets
- Perform workflow analysis to assist in the right design of a stewardship function
- Define functional or enterprise stewardship principles
Building a governance strategy to ensure trusted data can vary considerably based upon the corporate maturity and control, and the organization’s desire to govern data at an enterprise level. There is no “silver bullet”, thus careful listening and discovery must be undertaken to ensure a successful outcome throughout the governance journey. FHCI will engage with clients to discern the best approach to information governance.
- Serve as strategic consultant to executive team or executive councils to guide design of governance
- Develop a strategy tailored to the existing or desired maturity of governance in the organization, and desired outcomes
- Identify initiatives (data lineage, business glossary mapping, mastered data, data lifecycle management) that may serve as the entry point into governance
- Define stakeholders, key business sponsors, and success criteria