Four Characteristics of High-Value Healthcare Analytics Products

For healthcare organizations and IT vendors, developing successful data and analytics products for the healthcare setting requires more than simply building a robust product offering. While health systems prioritize products—either built in house or purchased from a vendor—that help them deliver the best care at the lowest cost, IT vendors strive to create products that streamline care delivery processes and remove roadblocks.

健康催化剂公司的首席产品官Anne Marie Bickmore说，无论是医疗系统还是医疗供应商，产品原则都是一样的——一个强大的产品组合优先考虑病人，比一个组织提供的一份详细的清单要重要世界杯葡萄牙vs加纳即时走地得多。凭借多年在各种护理岗位(包括急诊室(ER)护士)工作积累的丰富临床经验，以及为不同IT供应商工作超过12年的经验，Bickmore了解供应商和产品背后的临床需求，以真正改变患者护理。

在不断发展的医疗保健市场中，创造有效产品的过程是复杂的。为了应对这些持续的(有时是不可预测的(例如，流行病))市场变化，Bickmore建议供应商和医疗保健组织在整个开发和获取过程中考虑四个方面，以支持高价值产品、保持患者为中心的护理和加速改进。

#1: Build Products on A Strong Data Foundation

First, Bickmore says organizations must build high-quality products on a high-qualitydatafoundation. More important than the product itself is the foundation—if teams build offerings on disparate source systems, they are limited to inaccurate or incomplete data. Building products with partial data leaves providers and vendors short of achieving their goals to purchase, leverage, or create effective healthcare products and requires duplicate work to compensate for the fragmented development phase. A strong foundation includes a robust data infrastructure that can ingest data from multiple sources outside of the traditional EHR to include claims, billing, and costing data, to name a few.

Gathering data from only a few sources can provide some relevant information and enable a product’s partial benefits, but the risks outweigh the limited advantages. Building products based on fragmented information limits each product’s capabilities to deliver the most accurate insight and guidance for healthcare improvement. Furthermore, making healthcare decisions based on partial insights puts a health systems’ operations and financial state at risk and jeopardizes patient health.

By contrast, building products on a robust data infrastructure that combines all data sources provides a complete picture of performance (whether clinical or administrative) and allows team members to fully maximize their products and make the best care decision for every patient.

#2: Mind the Changing Healthcare Landscape with a Strong Data Foundation

In a constantly changing industry, a strong data foundation allows healthcare organizations to swiftly respond to market changes and adjust their products, applications, and services as needed. For example, when theCOVID-19pandemic took health systems (and the world) by surprise, organizations with products built on a strong analytics foundation could quickly alter their existing products to meet the new pandemic needs. Meanwhile, other health systems lacking a strong analytics foundation had to rebuild their data sources before they could change their products.

#3: Take a Patient-Centric Approach

Every product, application, or service should keep the patient at the center. Bickmore says remembering the patient throughout the product development process is key to making effective products. Although clinical-focused products might seem more focused on the patient, Bickmore says that operational and business applications are also patient-centric because they keep hospital doors open, allowing patients to access high-quality healthcare.

#4: Consider a Clinical Perspective

With a breadth of experience as an ER nurse, Bickmore says a clinical perspective is critical to creating practical products for the clinical setting. It is easy to get caught up in building a product that looks high-tech with fancy features, but if the application isn’t useful, it is a waste of time and resources. To ensure care and administrative teams will use products, product development leaders must be able to envision the product in the day-to-day clinical or business setting. Knowledge about hospital processes allows teams to develop products that can provide multiple benefits, such as alleviating provider burnout while eliminating duplicate steps to submitquality measures.

High-Quality Products Maximize Data and Drive Long-Term Healthcare Improvement

Healthcare experts often comment on the lack of data as a primary problem for underperforming products that can result in worse care or health decline that could have been prevented. However, with so much data available to healthcare organizations and vendors, Bickmore says that there is an opportunity to create better products. By taking the four-pronged approach above, leaders can develop products that maximize health systems’ data, meet providers’ needs, and empower providers to deliver high-value, tailored care.

Additional Reading

Would you like to learn more about this topic? Here are some articles we suggest:

• High-Value Data and Analytics: Bringing Critical Healthcare Insights into Focus
• How to Accelerate Clinical Improvement Using Four Domains of Clinical Analytics
• Accelerate Data-Driven Healthcare Improvement: 5 Tenets
• Three Crucial Mindset Shifts to Reach Peak Financial Healthcare Management
• Deliver Better Population Health by Avoiding Three Mistakes