Discover productivity and efficiency improvements using Diver Analytics

Operations performance analytics

Optimizing healthcare operations can result in significant gains to control and decrease the cost of excellent care. Using analytics to analyze labor, occupancy, EHR reporting, inventory and planning are just a few ways we are assisting our customers succeed in the new world of value based-care. In addition to the analytic solutions below Diver also offers Surgery Advisor and Physician Performance Advisor applications.

Approaching overtime alerts

To help with staffing, develop a Diver-based application that shows supervisors the rolling labor hours accrued for a given pay period in a dashboard view and sends overtime alerts to notify supervisors which employees are trending toward overtime accrual.

Diver dashboards can cover both clinical and non-clinical departments by analyzing the metrics submitted on time cards of both full-time and per diem employees. Supervisors could see even the slightest of trends that might lead to an overage and proactively adjust staff schedules.

Asset utilization

Maximize the return on investment (ROI) of your facility and staff with asset utilization analysis. You can use Diver Platform to accurately track key performance indicators (KPIs) to gain rapid insight into all areas of utilization. For example:

Determine whether increasing pharmacy costs are due to higher utilization or a shift from generics to branded pharmaceuticals.

Identify which physicians or physician groups are responsible for higher inpatient utilization.

Optimize hospital bed utilization with dashboards that show utilization by shift or time of day as well as other metrics. Dive right down to the patient level to identify who occupied a bed at what time and all clinical information.

View O.R. utilization for a complete picture of what each surgical case costs by integrating utilization and materials data with financial data. Use Diver as a forecasting tool to predict what specific instrumentation and materials need to be on hand for each surgical case. Minimize excess inventory and streamline the entire materials management process for the O.R.

ED service reporting

With Diver you can track how quickly patients who visit your emergency department (ED) are seen by a physician. Emergency department delays can result in life-threatening complications for patients, and patient satisfaction scores, so it’s important to know that your ED is handling patients efficiently. Depending on where your data resides, you might need to manually pull and cleanse information about ED patients’ experiences to help identify patients who experienced long wait times. A Diver Platform application can eliminate this labor intensive, manual reporting by integrating data from the different systems.

Diver apps can also automatically generate ED service reports for management to see trending on how the ED is performing against goals. Identified patients could receive a follow-up contact about their experience without the need for IT intervention. Having the availability of timely data allows you to quickly spot a measure that requires attention, immediately with Diver, dive into the underlying details to get to the cause, and initiate improvement actions. With Diver our customer Henry Mayo wait time improvements have reduced by 83% the number of patients leaving the ED without being seen, which converts into an additional $2 million per year in ED revenues.

EHR reporting

Electronic health records (EHR) are digital medical records of sensitive patient information and medical history, such as demographics and clinical data including vital signs, immunizations, prescriptions, laboratory and radiology reports, diagnosis, treatments, procedures, and more.

Some EHR software packages specialize in creating and storing this data, but EHR analysis and reporting requires more than a warehouse of data.While it might seem convenient to have analytics built into your EHR, analytics is so much more valuable when you can bring together data elements from different sources to see the whole picture.

Add to this that EHR systems often have poor visualization capabilities, large data warehouse requirements, limited integration, and require investment in expensive data lifecycle management tools when you do want to integrate or view data. With Diver Platform, you can be assured of a comprehensive solution with pre-built connectors to integrate your EHR with multiple data sources. The Diver next-gen big data engine, Spectre, was designed from day one for interactive analytics. Spectre works with large and complex data sets with patented optimization algorithms to quickly analyze the extremely large volumes of data from EHR systems. Diver aggregates and analyzes your data organization-wide for comprehensive clinical, operational, and financial reporting.

Inventory efficiency

Unlike inventory in a retail or industrial environment, healthcare inventories contain numerous perishables, such as costly pharmaceuticals. In addition, expensive items such as knee inserts are frequently upgraded, making old stock obsolete.

The need for stable inventory costs places a premium on having constantly updated and unambiguous item files. Manufacturer-specific product codes and descriptions further complicate the task faced by hospital purchasing managers in need of a consistent data view.

Quickly identify healthcare inventory management inefficiencies with Diver Platform that offers the requisite suite of powerful reporting and analytics capabilities needed to identify and quickly correct supply chain inefficiencies.

Diver enables users to track ordering and usage patterns, as well as historical trends, helping reduce unnecessary purchasing variation and drive down costs. Avoid hours of tedious manual editing by using Diver Platform’s powerful Visual Integrator tool in the Dimensional Insight Workbench IDE.

Automatically clean and standardize inventory descriptions and part numbers across the many suppliers serving your organization.

Visual Integrator outputs a global item file, ensuring that all supply chain personnel see and use “one version of the truth,” eliminating ambiguous data and preventing errors from resurfacing once the system has been placed into production.

Physician preference items

Physician Preference Items (PPIs) are consuming an ever-larger share of clinical supply chain expenses. Hospital administrators use the Diver Platform to:

  • Ensure that the item master contains valid codes for frequently upgraded PPIs, rather than coding as miscellaneous charges
  • Integrate third-party benchmarking data into Diver to conduct price analysis across competing PPI vendors to see which vendors are pricing their PPIs significantly above the peer-group mean

After analyzing the data, you can manage costs by disseminating pricing information to physicians and other stakeholders through Diver dashboards to help engage them in price negotiations with preferred vendors.

Strategic planning

An effort to expand your organization’s community presence with strategic facility placement can be an expensive proposition. You want to be sure you get it right and correctly match the resources of the facility with the needs of the community.

Diver Platform interfaces with a variety of base map layers so that growing healthcare organizations can use Diver Platform’s fully integrated mapping functionality to strategically locate new facilities, such as outpatient clinics and neighborhood immediate care centers, based on sophisticated demographic overlays. Locate facilities where they are needed to by placing pre-natal and pediatric care facilities in family-friendly neighborhoods and geriatric-focused services in the vicinity of retirement communities. Mapping visuals have limitless uses and benefits:

  • Spatially analyze patient and encounter-related healthcare measurements
  • Geographically represent the distance between patients being treated for particular conditions to help provide care or analyze disease incidence

The following Diver map portlet shows data layers in a point map, in this case, the incidence of Lyme disease as case per county over a state boundary map. This type of geographically coded disease incidence data can be analyzed for strategic planning initiatives.