Gain Insights to Optimize Healthcare Staffing and Caseload Management

This image shows how Oracle Data Platform for healthcare can be used
to optimize medical staff workloads. The platform includes the
following five pillars:

1. 1. Data Sources, Discovery
2. 2. Ingest, Transform
3. 3. Persist, Curate, Create
4. 4. Analyze, Learn, Predict
5. 5. Measure, Act

The Data Sources, Discovery pillar includes four categories of data.

1. 1. Applications data comprises HCM, resource, qualification, and
   training data.
2. 2. Health records include clinical data such as data from EHRs,
   EMRs, and administrative systems.
3. 3. Third-party data comprises administrative and sociodemographic
   data and data related to policies and programs, health behaviors,
   and the environment.
4. 4. Technical input data includes patient-generated data (such as
   social data, health risk assessments, online medical histories, and
   survey responses) and data from remote monitoring and mobile health
   apps.

The Ingest, Transform pillar comprises four capabilities.

1. 1. Bulk transfer uses OCI FastConnect, OCI Data Transfer, MFT, and
   OCI CLI.
2. 2. Batch ingestion uses OCI Data Integration, Oracle Data
   Integrator, and DB tools.
3. 3. Change data capture uses OCI GoldenGate and Oracle Data
   Integrator.
4. 4. Streaming ingest uses Kafka Connect.

All four capabilities connect unidirectionally into the serving data
store, cloud storage, and transactional data store within the Persist,
Curate, Create pillar.

Additionally, streaming ingest is connected to stream processing
within the Analyze, Learn, Predict pillar.

The Persist, Curate, Create pillar comprises five capabilities.

1. 1. The serving data store uses Autonomous Data Warehouse, Exadata
   Cloud Service, and Exadata Cloud@Customer.
2. 2. The transactional data store uses Autonomous Transaction
   Processing, MySQL, Exadata Cloud Service, Exadata Cloud@Customer,
   and NoSQL.
3. 3. Cloud storage uses OCI Object Storage.
4. 4. Batch processing uses OCI Data Flow.
5. 5. Governance uses OCI Data Catalog.

These capabilities are connected within the pillar. Cloud storage is
unidirectionally connected to the serving data store; it is also
bidirectionally connected to batch processing.

The transactional data store is unidirectionally connected to the
serving data store.

Two capabilities connect into the Analyze, Learn, Predict pillar: The
serving data store connects to both the analytics and visualization
capability and the data products, APIs capability. Cloud storage
connects to the machine learning capability.

The Analyze, Learn, Predict pillar comprises five capabilities.

1. 1. Analytics and visualization uses Oracle Analytics Cloud,
   GraphStudio, and ISVs.
2. 2. Data products, APIs uses OCI API Gateway and OCI Functions.
3. 3. Machine learning uses OCI Data Science, Oracle Machine Learning,
   and Oracle ML Notebooks.
4. 4. AI services uses Oracle Digital Assistant, OCI Decision, OCI
   Speech, OCI Language, and OCI Vision.
5. 5. Streaming processing uses OCI GoldenGate Stream Analytics and
   stream analytics from third parties.

Three capabilities are connected within the pillar. The data products,
APIs capability is unidirectionally connected to the machine learning
capability, which is itself unidirectionally connected to the AI
services capability, and stream processing is unidirectionally
connected to the AI services capability.

The serving data store, transactional data store, and object storage
supply metadata to OCI Data Catalog.

The Measure, Act pillar captures how the data analysis may be applied
to support optimizing medical staff workloads and caseload management.
These applications are divided into two groups.

1. 1. The first group includes descriptive analytics, diagnostic
   analysis, and predictive and prescriptive analytics.
2. 2. The second group includes analyzing statistical relevance between
   patient information, treatment, and outcomes.
3. 3. The three central pillars—Ingest, Transform; Persist, Curate,
   Create; and Analyze, Learn, Predict—are supported by infrastructure,
   network, security, and IAM.