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Analytics & Reporting

HealtheConnections aggregates, organizes, and maintains a large database of medical records for over 1.2 million patients in 11 central NY counties. Another perspective of the HealtheConnections database is that it contains a “clinical biography” or “episodes of care” for patients. Detail information includes: patient demographics, health care provider visits, diagnosis, laboratory results, prescriptions, and more.

The Analytics and Reporting function provides services and tools that allow the extraction, reporting, and visualization of database content in a meaningful way. Traditional reporting may include detail or summarized data rendered or displayed in a table or columnar format. Analytics takes the form of displaying data or information in a more graphical manner with multiple formats (i.e., graph, pie chart) with the ability to ‘slice’ or ‘filter’ data interactively to create different views or scenarios. Analytics capability allows you to “explore, discover, and mine” database information. You may uncover meaningful patterns or insights in the data in support of your business.

 

Data Governance Process

Data Governance has a number of dimensions. One of these dimensions and most important involves the security of the HIE data. Our database contains Personal Health Information and it’s imperative that this data be secure against unauthorized access. HealtheConnections maintains the highest level of controls to manage and monitor the access and dissemination of data. Data access monitoring occurs on a daily basis.

Another dimension of Data Governance speaks to the acquisition and auditing of information before and after it’s placed into the HIE database. We refer to this dimension of Data Governance as “Data Quality”. The functional process steps noted below demonstrates the ‘rigor’ imposed on HIE data. If you reflect on the nature of Analytics and Reporting specifically as it relates to “extracting, reporting, and visualizing” data in a meaningful way, it’s imperative that this data be accurate, consistent, complete, and timely.

 

Data_Quality_High-Level_Process

 

Use Cases

Use Cases provide examples of how HIE data can be applied in a Healthcare setting. HIE data’s value proposition is such that it can facilitate and/or enable the following overarching Healthcare objectives: Improve individual experience of care, improve health of population, and reduce healthcare costs. To this end, the below illustration highlights healthcare subject areas where Analytics and Reporting can add value. Each of these topical subject areas would have different analytic and reporting requirements. The Analytics and Reporting function would document the functional information requirements associated with each of these subject areas and subsequently solution those requirements via the HIE database.

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