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Delivering the Right Insight to the Right Person: How Workflow Automation Optimizes EHR Decision Support

July 14, 2021
Chris Tyne

Chief Operating Officer, Healthfinch

文章总结


虽然电子病历增加了患者健康数据的易读性和全面性,并使重要的见解更容易获得,但数字化的记录也导致工作流程变长,数据量难以管理。幸运的是,当今的医疗保健数字环境也使有效的数据保护得以实现。通过自动化的EHR工作流,医疗保健数据和分析技术可以挖掘数据平台,将数字文档的价值直接带给团队成员。世界杯厄瓜多尔vs塞内加尔波胆预测常规的、可重复的任务的自动化,配合图表中最重要的信息的整理,使医护人员和患者受益于数字化文档的财富,因为工作流程确保了正确的人在正确的地点和时间获得正确的见解。

healthcare workflow automation

电子卫生文档为医疗保健提供了重要价值,包括增强可读性和全面性,以及改善访问。然而,电子病历推动了耗时的工作流程,使单个患者病历中的丰富信息过于广泛,临床医生无法阅读、消化和处理。现代的病人记录通常包含数千行文本——比储存第一批电子病历的计算机磁盘驱动器还要多。

While digitized patient records are cumbersome, they pave the way for more advanced technology to further improve efficiency and care. Automation of routine, repeatable tasks, paired with curation of the most important information in the chart, allows providers to benefit from diligent, digitized documentation. As theOffice of the National Coordinator for Health Information Technology (ONC)works to establish a policy and development agenda around workflow automation through the use of modern computing, solutions that aid processes while maximizing data value are increasingly important.

Fortunately, the healthcare digital environment today makes effective data curation achievable. World- class digital platforms can surface the appropriate insights from terabytes of data into an actionable recommendation by leveraging rules engines and advanced analytic capabilities to automate the EHR workflow. Great technology can find the proverbial diamond, in the deep mines of EHR data.

Unlocking the Full Scope of Benefits in the Digital Patient Record

Like unlocking a door, an automated EHR workflow “key” allows clinicians to access the intelligence in healthcare’s vast data stores. That key, or solution, is comprised of automated capabilities that provide the right insight to the right person at the point of care (the right place).

Developing the Right Insight

为了获得最佳结果,循证医学必须推动临床决策支持。然而,临床医生不可能真正记住每种药物的最佳方案,每种实验室结果的反应,或每种慢性疾病的护理计划。建议每天都在发展,需要一个专门的团队或系统来开发正确的见解,并将它们呈现给适当的员工。

In response, analytics vendors have developed pre-built rules engines that fully integrate into the EHR. These rules engines can take into account overall utilization, cost, charges, recent activity, and more to determine the individual caregiver or location with overall accountability for the health of a given patient, eliminating the building and maintenance demands on users while unlocking more of the patient’s health record.

Delivering Insights to the Right Person

Ultimately, insights must reach the team member who can take action and get the patient needed care. The right person is a member of the care team who can act on a recommendation from the EHR and communicate the next steps with the patient and the facilities involved (e.g., radiology or a lab). For example, if a patient needs an HbA1c reading, that information must route to a member of the care team who can order the test and direct the patient to the lab. The reading shouldn’t go to the patient’s physical therapist, for instance, simply because they happened to open the patient’s chart.

To ensure information reaches the right person, a robust, interoperable data platform (e.g., the Health CatalystData Operating System (DOS™)embeds comprehensive data directly into existing visit and ordering workflows. As a result, information appears in programs, dashboards, etc., where the appropriate users are already working. Embedding insights into existing workflows for the right people eliminates “click outs” (clicking something that takes the user out of their current application) and puts the information in a convenient place to get the best results.

Putting Critical Insights in the Right Place

临床医生和工作人员在工作日的大部分时间都登录了电子病历系统,使之成为评估关键信息的正确场所。在EHR工作流程中以清晰、可操作和透明的方式提供见解,有助于减少最终用户在医生的电脑屏幕上覆盖的数百个按钮、菜单、导航器和文本框中忽略或错过重要数据的风险。

If the clinician is planning for medications, the insights for patient monitoring need to be on the order form. If providing instructions for discharge, the instructions need to pop into the after visit summary. And, if planning for an office visit, the information needs to be in those visit notes so care teams can’t miss them.

For example,Healthfinch®by Health Catalyst: Charlie™ for Refill Managementautomates medication renewal decision support directly in the EHR workflow. When a renewal request is received, Charlie for Refill Management reviews the patient chart for relevant data, compares it against more than 1,000 protocols to determine whether the request is safe to renew, then summarizes data from the patient’s chart and recommends next steps (e.g., approve the renewal, follow up with the patient to close care gaps, etc.).

Curating the Healthcare Experience Today

现有的医疗保健数据和分析技术可以挖掘数据平台,并将数字文档的价值直接带给团队成员。世界杯厄瓜多尔vs塞内加尔波胆预测有了适当的工具(例如,数据平台和规则引擎),正确的见解就可以在正确的时间和地点向正世界杯厄瓜多尔vs塞内加尔波胆预测确的人提供,从而改善护理团队、卫生系统和患者的医疗体验。

Additional Reading

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

  1. Five Ways Healthcare AI Gives You Superpowers
  2. Closed-Loop Analytics Improves Workflow and Efficiency
  3. A Comprehensive Prescription Renewal Solution: Meet Charlie for Refill Management
  4. Integrating Data and Analytics into Provider Workflow Improves ACO Performance
  5. Data-Driven Workflow Improves Diabetes Education Program Effectiveness

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