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的MOSAIQ®肿瘤学分析（MOA）帮助跟踪、测量和管理如何提供护理。

“如果你不能测量它，你就不能监测它，”布拉德利·罗伯特说，他是该机构放射肿瘤中心的主任。该中心有8台治疗机，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.

“越来越多的人要求我关注大数据，并找到方法来改进临床和操作。在我们实施MOA之前，需要几天才能得到报告，因为它们必须运行和验证。这真是浪费时间，”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.

“Our Elekta specialists asked a lot of questions to understand our clinical and operational goals,” says Robbert. “Working with the same person was really helpful in creating custom reports that met our needs.”

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.

“各部门没有以可挖掘的方式一致地输入数据。有时格式不一致或者数据放在不同的位置，”Robbert补充道。这意味着提交给我们领导层的数据不一致。

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.

虽然数据清理工作是一项重要的工作，但也是一次宝贵的学习经验。团队对数据输入和分析有更深的理解。他们现在使用MOSAIQ中以前从未使用过的数据字段来进行更准确和完整的数据输入。

Robbert说：“我们在清理工作中得到的最大收获是‘垃圾进，垃圾出’。

“从MOSAIQ和其他来源自动提取数据是MOA的一大特点。现在我知道我可以很快得到数据，并且相信它是正确的。MOA为我们提供了数据分析的一站式服务。”

揭示转诊模式

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.

了解患者人口统计

在实施MOA之前，了解患者来自何处以及将患者标记到特定机器也是一个繁琐的过程。此前，该团队不得不从摩萨伊克1000多个邮政编码中手动选择140多个邮政编码。将病人与特定的治疗机器联系起来需要运行一个单独的报告。这个过程通常需要几天时间，一旦完成，他们对数据的准确性没有信心。

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

该中心还试图回答从转诊到咨询的及时性问题。“我们都喜欢认为我们在这个行业是及时的。我们可以快速处理患者，并让他们快速通过我们的系统。但当我们与一些转诊来源面谈时，我们收到的反馈是，我们没有很快让患者接受咨询。听到这个消息真让人吃惊，”罗伯特说。

有了这些反馈，研究小组在2019年7月坐下来研究6月份的数据。农业部的数据显示了改善的机会。

Robbert说：“当时咨询的人不多，但要花很长时间才能进入。在团队做出了一些日程安排的改变并增加了额外的咨询时间段后，该组织从2019年7月到2020年1月，从转诊到咨询的天数减少了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.

“没有人认为对一个刚刚被诊断出患有癌症的病人说，‘好吧，一个月后见。’是可以接受的，这不是病人想听的，”罗伯特评论道。“查看及时性数据对我们的组织来说是一次非常令人bob体育网赌大开眼界的经历。它帮助我们改变了更快地获得推荐的文化。”

Tracking insurance authorizations

治疗授权的延迟是癌症治疗的一大障碍。放射肿瘤学中心试图更好地了解谁收到了保险授权和拒绝付款和疾病的网站，以及评估模式的时间长度的授权。bob体育网赌

研究小组还希望更好地了解否认趋势：如果患者被否认，他们是继续上诉，还是用不同的技术治疗？如果病人没有得到治疗，这是医生的决定还是病人的选择？

在MOA之前，收集授权数据是一个繁琐而耗时的过程。这些数据需要从Crystal报表中导出、处理和分析。

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

Robbert和他的团队亲眼目睹了MOA在帮助指导决策和计划未来扩展商业和临床智能应用方面的力量。在该组织继续努力提高从转诊到会诊的及时性的同时，它还计划利用MOA来注重从会诊到治疗的及时性。

放射肿瘤学中心还打算利用MOA来管理和测量资源利用率。具体来说，它计划通过预约来衡量护士的活动。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转移到医疗助理身上。

“我们知道，护士很忙，经常做一些不可报销的活动。MOA可以帮助我们分析这些活动数据，并确定我们需要哪些资源来支持护士。

该组织现在是第三个版本的MOA。Robbert欣赏基于用户反馈不断添加到MOA中的新功能。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?”

Click hereto learn more about MOSAIQ Oncology Analytics.