Supply Chain Analytics: How Manufacturers Can Get The Most Value Out Of Their Automated Data Capture Technology

There are a prolific amount of data sets and data sources available that can help overcome the aforementioned challenges. The problem is that “big data” is coming in from so many varied sources, and manufacturers simply do not know what to do with it or how to use it. The answer lies in supply chain analytics. With the right analytical tools, manufacturers can obtain actionable, meaningful, and supported insight from available data in order to make better business decisions. When it comes to AIDC, supply chain analytics are most useful in two chief areas: device optimization (the technology itself) and labor management (those who are using the technology).

AIDC Device Optimization

With supply chain analytics, manufacturers can receive timely and relevant feedback about their AIDC platform to determine how the technology is performing – feedback beyond what is provided by a typical Mobile Device Management solution. Through this insight, users can better understand the underlying causes of inefficiencies, identify areas for continuous improvement, perform predictive analysis, and more. For example, through dashboard and reporting tools, manufacturers can easily see device utilization data to determine user adoption rates. They can monitor battery performance of their devices in the field to prevent downtime. Or, they can even make sure that the right tools are available at the right time. As a result, manufacturers can optimize their mobile deployments to attain additional ROI.

Labor Management

The second component to this equation involves labor management. Using supply chain analytics, it is possible to match the right tools with the right people, and the right people with the work. Analytics platforms accomplish this by gauging and managing the labor resources that use the technology in terms of measurement of activity benchmarking, engineered labor standards, and dashboard reporting. These tools take into consideration production data (volume), integrated with labor, cost, customers, and time data.

Achieving Analytics Success

Supply chain analytics tools can provide practical and fully actionable (fact-based decision making) information to help optimize the supply chain from an AIDC and human capital standpoint. Along with the right AIDC tools and support organization behind those tools, supply chain analytics can assist in driving more revenue, reducing your cost structure and improving the experience of your customers and your workforce. Yet, this is only a piece of the supply chain analytics puzzle. Looking forward, manufacturers will continue to extend the capabilities of analytics tools to gain insight into the overall performance of the manufacturing facility. With the influx of the Internet of Things (IoT), more data points are available than ever before, which allows manufacturers to gauge the efficiency of a particular production line or overall equipment effectiveness (OEE).

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7 Reasons to Merge Revenue Cycle and Supply Chain Management

Using technology to merge supply chain management and revenue cycle departments may help advance cost-to-charge transparency and increase accuracy in terms of managing reimbursement costs. “In most provider organizations[,] supply chain management (SCM) and revenue cycle operations function in silos, occasionally responding to anecdotal evidence to make improvements in the processes linking the two areas,” confirms HSRC-ASU. “Hospitals and health care systems that become proficient in managing the revenue environment achieve strategic advantage by reaching their financial goals and assuring a stream of revenues to support their clinical efforts,” the researchers explain.

According to HealthITAnalytics, supply chain management should be considered as a marathon endeavor, not a short-lived sprint. Successful supply chain involves connecting costs with analytics to enact substantial long term change. Additionally, hospital executives claim non-EHR health IT acquisitions strengthen the supply chain, states HealthITAnalytics.

Consistency is an essential key to ensuring accurate coding and pricing efforts. “Linking the traditional aspects of supply chain management (e.g., strategic sourcing, logistics, and inventory management) to margin management decreases the probability of lost charges occurring,” the researchers state. “Prices should be strategically set to optimize maximum allowable reimbursement. Charge capture processes should be incorporated in pricing strategies in each of the targeted areas,” they add.

HSRC-ACU confirms seven reasons to combine revenue cycle management and supply chain management:

  1. Increased and more accurate reimbursements
  2. Strengthened contract negotiations and enhanced contract compliance
  3. Improved transparency
  4. Streamlined cross-check utilization of supplies and ease of monitoring supply revenue
  5. Capturing cost-to-charge data visibility will be smoother
  6. Billing will be more accurate
  7. Labor will be wisely utilized and not wasted

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