中心提高了及时性，增加了MOA的推荐

The rise in value-based care requires cancer centers and practices to do more with less while enhancing quality and value. But without meaningful, actionable data, making informed clinical and business decisions can be a challenge.

That’s why an academic medical center located in the Southeast turned toElekta’s MOSAIQ® Oncology Analytics（MOA）以帮助追踪，衡量和管理如何提供服务。

“如果您无法衡量它，您无法监控它，”设施的放射肿瘤学中心的董事布拉德利罗伯特说。该中心有八种治疗机每天治疗约150名患者。

Robbert hoped MOA could unlock data in the center’s MOSAIQ® oncology information system to gain insight and guide business and clinical decision-making. Like many healthcare organizations, the academic medical center historically had struggled to efficiently collect and analyze data and turn it into meaningful, actionable insights.

“我被问到越来越多的时间来看看大数据并找到制作临床和运营改进的方法。在我们实施MoA之前，收到报告需要数天，因为它们必须运行和验证。这是一个真正的时代，“罗伯特说。

准备实施：培训和数据清理

Elekta provided two days of onsite training in the fall of 2018 and has visited the center since then to provide additional training. Trainers guided users on how to use Elekta’s pre-populated operational and clinical quality management dashboards. They took the time to understand the radiation oncology center’s unique workflows and processes and help the team develop custom interactive dashboards and reports.

“我们的Elekta专家们向博伯特说，我们询问了了解我们的临床和运营目标的疑问。“与同一个人合作非常有助于创建满足我们需求的自定义报告。”

Robbert adds that the Elekta team worked to mold MOA to the center’s existing processes and workflows so that it wasn’t too cumbersome to implement. “It was a really great training experience,” he added.

As the radiation oncology center prepared to implement MOA, Robbert and his team identified discrepancies in their MOSAIQ data entry processes that needed to be remedied in order to fully benefit from MOA.

“Departments weren’t entering data consistently in a mineable way. Sometimes formatting was inconsistent or data was put in different locations,” adds Robbert. That meant inconsistencies in the data that was being presented to our leadership.

In order to reap the full benefit of MOA, the organization’s first priority was to clean and validate the data for the areas it was most interested in monitoring, including patient demographics and referral sources.

While the data clean-up endeavor was a significant undertaking, it was also a valuable learning experience. The team has a deeper understanding of data entry and analysis. They now use data fields in MOSAIQ that they hadn’t used before for more accurate and complete data entry.

“Our big takeaway from the clean-up effort was ‘garbage in, garbage out,’” says Robbert.

“Automated data extraction from MOSAIQ and other sources is one of the great features of MOA. Now I know I can get the data quickly and feel confident that it’s correct. MOA gives us a one-stop shop for data analytics.”

揭示推荐模式

The data clean-up work yielded rapid results. Early in the clean-up process, the team discovered they were missing about 20 percent of the referring provider data for 2018. Once the information was cleaned up and entered, the number shrank to less than 1 percent. Having complete and accurate referring provider data has facilitated better-referring provider outreach.

“MOA makes it quick and easy to find information on referral sources, enabling us to engage our referring providers in a meaningful way,” says Robbert. He adds that the clinic has seen up to a 300 percent increase in referrals from some physicians and a 10 percent increase in total referrals between 2018 and 2019.

Understanding patient demographics

理解在实施MOA之前，患者从患者从并将患者标记为特定机器也是一个繁琐的过程。此前，该团队必须在Mosaiq手动选择超过1,000的140多个邮政编码。将患者与携带单独报告的特定处理机器相关联。这个过程经常花了几天，一旦完成，他们就没有对数据的准确性充满信心。

Robbert also discovered that MOA captures county information through zip code data. Users can select counties in the radiation oncology center’s primary service area and examine the data through that lens.

“MOA enables us to quickly see where patients are coming from. What used to take a couple of days now takes less than an hour. It’s been a huge timesaver for me,” says Robbert.

Improving timeliness to consult

该中心还寻求回答来自转诊到咨询的及时性的问题。“我们都喜欢认为我们会及时在这项业务中。我们迅速处理患者，并通过我们的系统快速移动它们。但是，当我们与我们的一些推荐消息来源坐下时，我们收到了反馈，以便我们没有让患者进行咨询。抢劫说，听到这是一个惊喜。

With that feedback, the team sat down in July 2019 and looked at time to consult data for June. The data from MOA revealed opportunities for improvement.

“没有大量的咨询，但需要很长时间才能进入，”罗伯特说。团队在某些安排变更并增加额外的时隙以进行磋商后，该组织从2019年7月至2020年7月征询的推荐日期的日子数量减少了30％。

Because the timeliness improved, the organization was able to schedule more consultations. Over the same time period, the number of new patient consultations increased by 6.5 percent.

“没有人认为刚刚被诊断出患有癌症的患者可以接受，我们会在一个月内见到你。”那不是患者想听到的，“罗伯特评论。bob体育网赌“看着及时性数据为我们的组织来说是一个非常关注的经验。它帮助我们更快地改变文化更快地推荐。“

Tracking insurance authorizations

治疗授权的延误代表了癌症护理的重要障碍。bob体育网赌辐射肿瘤学中心寻求更好地了解谁收到的保险公司和拒绝付款人和疾病网站，以及评估授权时间长短的模式。

该团队还想更好地了解拒绝趋势：如果患者被拒绝，他们是否向前举行了上诉，或者他们用不同的技术治疗？如果患者未被治疗，那是医生决定还是患者的选择？

在MOA之前，收集授权数据是一个麻烦和耗时的过程。需要从Crystal Reports导出的数据，操纵和分析。

MOA has enabled fast access to authorization data in very mineable ways. The application uncovered inadvertent bottlenecks on the radiation oncology center’s end, such as failing to provide information that a payer needs to approve treatment. “MOA has enabled us to see authorization trends and make improvements to our processes.”

规划未来

中生和他的团队已经亲眼看到的权力of MOA to help guide decision-making and plan to expand use of the business and clinical intelligence application in the future. While the organization continues to work on improving timeliness from referral to consult, it also plans to use MOA to focus on timeliness from consult to treatment.

辐射肿瘤学中心还打算利用MOA来管理和测量资源利用率。具体而言，它计划通过预约来衡量护士活动。它希望回答几个问题，包括护士如何分配他们的时间以及他们的一些责任是否可以向医疗助理卸载。

“正如我们所知，护士很忙，经常正在做不可偿还的活动。MoA可以帮助我们分析此活动数据，并确定我们需要有资源支持护士的地方，“罗伯特说。

该组织现已第三版MOA。罗伯特赞赏基于用户反馈不断添加到MoA的新功能。他还喜欢从任何地方访问云托管工具的能力。

“MOSAIQ Oncology Analytics is helping us to better understand our organization and elevate the patient experience,” comments Robbert. “And that’s really the number one goal. Are we providing the best possible experience for our patients?”

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