Home Healthcare Analytics Adoption Model Self Inspection Guide Healthcare Analytics Adoption Model Self Inspection Guide Step 1 of 8 12% Level 1 – Enterprise Data Warehouse: Foundation and Initial Data ContentScore each row topic on a 0 to 5 scale, where 0=no capability or adoption, and 5=widespread capability and adoption1. Data content includes HIMSS EMR Stage 3 data*0123452. Data content includes revenue cycle data*0123453. Data content includes financial/GL data*0123454. Data content includes costing data*0123455. Data content includes supply chain data*0123456. Data content includes claims data*0123457. Data content includes patient satisfaction data*0123458. Searchable metadata repository is available and accessible across the enterprise.*0123459. Data warehouse is updated within one month of source system changes*01234510. Analysts are coordinated through the use of a competency center. Data analysts meet regularly and processes are reviewed.*01234511. Data governance is in-place and operating proactively to address the data quality of source systems*01234512. The analytics and data warehousing function is supported by C-level executive team*012345 Level 2 – Standardized, Core Vocabulary & Basic Patient RegistriesScore each row topic on a 0 to 5 scale, where 0=no capability or adoption, and 5=widespread capability and adoption13. Master data management and reference schema is available in the data warehouse, covering local, regional, and national standards*01234514. Standardized and normalized dimensions: Naming, definition, and data types for master patient ID, clinician ID, ICD, CPT, facility, cost center, and care process family are represented as foreign keys in the source data content areas of the EDW, allowing for queries across those source content areas*01234515. At least 25 patient registries are defined, based on ICD codes, representing the diseases, conditions and procedures that offer the greatest opportunities for quality improvement and/or variability and waste reduction*01234516. Data governance is operating to support the identification, management and evolution of patient registries and master data management*012345 Level 3 – Automated Internal ReportingScore each row topic on a 0 to 5 scale, where 0=no capability or adoption, and 5=widespread capability and adoption17. Internal Key Performance Indicator (KPI) and management reports are accurately, efficiently, and reliably produced with minimal labor and errors*01234518. On a department by department basis, KPIs are catalogued and tracked, along with a sense of their value to the mission of the department. Low value reports are minimized or eliminated altogether.*01234519. Key performance indicators are easily accessible from the executive level to the front-line manager*01234520. Centralized and decentralized analytic experts collaborate on a regular basis to steer the EDW*01234521. Data governance committee is actively involved in increasing the data literacy of the organization and developing a data acquisition strategy for Levels 4 and above.*012345 Level 4 – Automated External ReportingScore each row topic on a 0 to 5 scale, where 0=no capability or adoption, and 5=widespread capability and adoption22. External reporting (e.g. Joint Commission, NCQA, CMS, State, MU, PQRS, professional societies, registries) is achieved on a consistent, reliable, efficient basis with minimal labor and errors*01234523. Source system data in the EDW is normalized to national vocabulary standards SNOMED, RxNorm, and LOINC*01234524. Clinical text data content is available in the EDW that allows for simple key word searches augmented by discrete data*01234525. Centralized data governance exists for review and approval of externally released data*012345 Level 5 – Waste & Care Variability ReductionScore each row topic on a 0 to 5 scale, where 0=no capability or adoption, and 5=widespread capability and adoption26. Analytic applications are used regularly to measure and minimize waste and variability in care in at least 20 care processes and/or disease management areas*01234527. Permanent teams comprised of clinicians, administrators, and data analysts are operating in at least 7 care process families, patient safety, and/or disease management areas that constantly measure variability in care and measurement of care against clinical aim statements*01234528. Population-based analytics are available and actively used to suggest improvements adjustments in protocols, care pathways, and care management strategies*01234529. Precision of registries is improved by including data from lab, pharmacy, and clinical observations in the definition of the patient cohorts.*01234530. Analytics are available to clinical process improvement teams to inform local tailoring of care protocols and order sets, based on evidence based best practices*01234531. EDW content is organized into specific data marts, supporting the permanent care process improvement teams, that combine clinical and cost data associated with patient registries.*01234532. Basic dashboards are available that track clinical practices which are known to be wasteful (e.g., Choosing Wisely Guidelines)*01234533. Data content expands to include health insurance exchange data*01234534. On average, the Enterprise Data Warehouse (EDW) is updated within one week of changes in the data content of source systems*012345 Level 6 – Population Health Management & Suggestive AnalyticsScore each row topic on a 0 to 5 scale, where 0=no capability or adoption, and 5=widespread capability and adoption35. Acute care cases are managed under bundled payments.*01234536. Analytics are available at the point of care to support the Triple Aim of maximizing the quality of individual patient care, population management of similar patients, and the economics of care*01234537. Analytics to support community based outreach programs for preventive care and health maintenance are routinely used by governing Boards and executive administration to inform strategy development*01234538. Analytics are available to clinicians that enables them to understand the management of their patients relative to clinical quality and financial goals, in comparison to anonymous peer data in the organization*01234539. Data content expands to include bedside devices and monitoring*01234540. Data content expands to include home monitoring data*01234541. Data content expands to include external pharmacy data*01234542. Data content expands to include detailed cost accounting data*01234543. Data governance plays a major role in the accuracy of metrics supporting quality-based bonuses for clinicians, executives, and other employees*01234544. Dashboards and scorecards are available at the patient-level and available to patients and their families via a secure portal. Personal preventative health procedures and events are timed and both patients and their providers receive proactive alerts and reminders*01234545. On average, the EDW is updated within one day of data changes in the source systems*01234546. The EDW reports organizationally to a C-level executive who is accountable for balancing cost of care and quality of care.*012345 Level 7 – Clinical Risk Intervention & Predictive AnalyticsScore each row topic on a 0 to 5 scale, where 0=no capability or adoption, and 5=widespread capability and adoption47. Diagnosis-based, fixed-fee per capita reimbursement models are operating in the organization*01234548. Focus expands from management of cases to managing episodes of care. Collaboration with clinician and payers, including self-funded employers, partners is clearly evident.*01234549. Predictive modeling, forecasting, regression, decision trees, clustering, Bayesian analysis and risk stratifications are broadly used to support outreach, triage, escalation, referrals, readmissions, and admissions avoidance*01234550. Health improvement and maintenance plans are operating with care navigators and coaches*01234551. Patients are economically incented to improve and maintain their health*01234552. Patients are flagged in registries with socio-economic attributes that support personalized care management and treatment*01234553. Patient engagement modeling is in place to monitor and report on patient individual levels of engagement, level of understanding of conditions/diagnoses, level of motivation and ability to achieve health goals, ability to afford and access recommended treatments, and severity of illness*01234554. Data content expands to include long term care facility data*01234555. Data content expands to include familial data*01234556. Data content expands to include outcomes data, including patient reported outcomes and evidence-based functional health status measurement*01234557. On average, the EDW is updated within one hour or less of changes in source system data*012345 Level 8 – Personalized Medicine & Prescriptive AnalyticsScore each row topic on a 0 to 5 scale, where 0=no capability or adoption, and 5=widespread capability and adoption58. Data content expands to include genomic data supporting predictive phenotyping*01234559. Behavioral health outcomes and status for patients are measured objectively and included in quality incentives for the healthcare provider*01234560. Analytics are available that profile a current patient to past patients and their outcomes so that medication plans (dosing, intervals, routes, DDI) can be customized to the current patient at the point of care*01234561. An analytics alerting engine exists that proactively monitors individual patient data as well as population data, and alerts the healthcare organization when an intervention is recommended, along with the recommended course of action*01234562. Analytics expands to include Natural Language Processing (NLP) of text to extract discrete attributes and values*01234563. Analytics expands to include prescriptive analytics ("Given this clinical risk, what evidence-based action should be taken, tailored by the local healthcare environment such as availability of local resources and socio-economic environment of the patient?")*01234564. Data content expands to include 7x24 biometrics data*01234565. Analytics are available that dynamically monitor the financial margins of per case and per capita reimbursement contracts and prescriptively suggest changes to charges to maintain a healthy balance sheet*01234566. The EDW is updated within a few minutes of changes in the source systems*012345Would you like your score emailed to you?*YesNoWould you like to print your results?*YesNoEnter Your Name* First Last We solely need your name so that we can put it on your printed report outside today’s session and keep the many print results organized separately. We will not use name in any aggregated analysis.Enter your email address. Are you sure you don't want your score emailed to you?*Yes, I'm sure.No, I changed my mind. Please email me my score.After submitting the form you will not be able to go back and re-select this option to get your score emailed to you.