2014-2016 Road Map Themes: HEALTH AND BUSINESS INTELLIGENCE


Goal:

For the LTPAC sector to seize opportunities to use health and business intelligence (including descriptive, predictive and prescriptive analytics) to gain dynamic knowledge and actionable insights that: 1) improves the quality and delivery of care, clinical decision-making, and coordination; 2) redefines the provider-patient relationship through new patient (and caregiver) engagement to improve their health and wellness; 3) supports business operations, strategy and partnerships; 4) improves transparency to support quality measurement and public health; and 5) advances population health.
Rationale/Background:
Effective health and business intelligence is integral to and supports all of the other LTPAC Health IT Road Map strategies for connected patients, workers, partners and the evolving business landscape. ealth and business intelligence has a number of facets. LTPAC and other healthcare providers will gain insights and intelligence by utilizing business and clinical data from a variety of internal and external sources to enable analytics supporting decision making about population health management and outcomes, care coordination, health care quality and safety, patient engagement, the business environment, and financial risk.[1] For the patient and their caregiver, health intelligence provides dynamic analytics to drive action and inform our decision-making.The Quantified Self movement along with other sensors, devices and tele-health tools provide new opportunities for redefining the patient-caregiver relationship to analyze, monitor, and manage care anywhere at any time.


Key Priorities:
  1. Embrace person-centered, technology-enabled quantified health movement to inform a new consumer - healthcare practitioner relationship impacting the broad health care continuum including opportunities in LTPAC and recognizing the patient’s priorities for their care, interventions and outcomes.

  2. Continue to advance person-centered (not provider-centered) assessments, meaningful and harmonized quality measures, and standards that cut across the silos of care delivery and empower consumers to make decisions and improve care.

  3. Use health and business intelligence to engage LTPAC and improve care coordination/care pathways, quality outcomes, and financial management across spectrum and support the emergence of virtual care teams, emerging care delivery/payment models and their ability to respond to a patient’s need for health services.

  4. Advance the use of health intelligence to transform the worker, their workflow processes, and the organization to support an empowered information worker that is equipped with context about their patient’s personalized care needs, goals, and preferences.

  5. Accept responsibility for information stewardship and governance to ensure the value of health intelligence can be realized because the foundation data that transformed to knowledge was trusted and accurate.

  6. Recognize the opportunities for new innovations and relationships with consumers by using health intelligence to transform population health by linking patterns, analytics, disease study, and outcomes for aging patients served by LTPAC.

Objectives and Strategies to Pursue:
  1. Take a leadership role in the healthcare industry on the need for and value of a Virtual Care Team[WU1] supported by both an interoperable health IT platform and health intelligence to drive effective care coordination and pathways across the continuum to respond to a consumer's need for health service and recognize the patient’s priorities for their care, interventions and outcomes.

  2. Advance longitudinal quality measure reporting by encouraging LTPAC associations, organizations, providers, and vendors to work with primary care and acute care associations, providers and vendors to support the advancement of meaningful and harmonized person-centered measures including:
  • Support the NQF to harmonize quality measurements across the spectrum of care
  • Support the Long Term Quality Alliance (LTQA) to propose quality processes, measurements, improvements and outcomes
  • Support for the advancement of person centered assessment data
  • Support and use of relevant health IT standards and vocabularies

  1. Use health and business intelligence to successfully respond to the rapidly changing operating and business environment including:
  • Advanced use of predictive and prescriptive analytics to inform decisions and gain intelligence
  • New care deliver and business models, risk and risk sharing which link quality outcomes and cost outcomes
  • How to engage people in the senior living population
  • Deep understanding of an organization’s health and financial information that makes LTPAC a trusted care delivery partner

  1. Begin to change organizational culture and build an infrastructure to integrate health intelligence in the care delivery and workflow process for all workers and leverage/increase the use of evidence-based guidelines and tools that improve care.
  • Provide the right information at the right time to support the worker as part of their workflow and through the tools they use
  • Build education and resources into worker’s workflow and tools (e.g. AMDA clinical guidelines)
  • Utilize behavior monitoring platforms that take into account observations of daily living and monitoring/sensor data and allow workers to customize alerts and approaches to care

  1. Deploy information governance strategies to:
  • Implement and maintain an information governance program, infrastructure, and decision-making.
  • Assist with understanding the available health and business intelligence resources and identify those needed to support an evolving care delivery and business landscape.
Next Steps: (draft)
  • For Provider Community:
    • Seek systems and tools that are integrated into workflow, incorporate decision support tools and provide intelligence at the point of care
    • Evaluate organizational structure and expertise to incorporate workers with skills in data analytics
    • Deploy information governance strategies.
  • For Vendor Community:
    • Increase the integration of evidence-based tools and guidelines in applications and systems.
    • Increase the complexity of data analytics

  • Policy-maker:
    • Identify the measures meaningful to a patient and harmonized


  • Other:
    • Advance the development of decision-support tools

Glossary Terms:
  • Business Intelligence:
  • Health Intelligence: Health intelligence is concept that describes how people, organizations, systems and populations are deriving knowledge from analysis and transformation of high quality healthcare and related data into actionable information to support real time and near real time decision-making. Enabled by health information tools, technologies and processes, stakeholders and innovators are exploring, analyzing, mining, reporting, and visualizing data in ways not capable in the past.[2]
  • **Internet of Things:** Refers to the interconnection of uniquely identifiable embedded computing-like devices within the existing Internet infrastructure.
  • **Descriptive Analytics**: Describes the features of a collection of information (e.g. analyzes data for insights on what has happened)
  • **Predictive Analytics:** Encompasses a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events.[
  • **Prescriptive Analytics:** Automatically synthesizes big data, multiple disciplines of mathematical sciences and computational sciences, and business rules, to make predictions and then suggests decision options to take advantage of the predictions.
  • **Quantified Self:**A movement to incorporate technology into data acquisition on aspects of a person's daily life in terms of inputs, states, and performance.


[1] AHIMA, Health Intelligence Definition. 2014
[2] Nielson, White, and Parui, Microsoft SQL Server 2008 Bible, Wiley Publishing, Inc., 2009. http://www.inhcc.com/Health_Intelligence.html

[WU1]Consider not using the term virtual care team (define in the exec summary; perhaps a better word is extended care team)