医疗保健分析峰会回来了!欢迎收看9月13-15日盐湖城直播。Register Now
This article is based on aHealthcare Analytics Summit(HAS 20Virtual) presentation by Patrick McGill, MD, Executive Vice President, Chief Analytics Officer, Community Health Network, titled, “Virtual Care in the COVID-19 Era: Enabled with Enterprisewide Analytics.”
Early in the spring of 2020, theCMS为应对covid -19相关的医疗保健能力紧张,呼吁推迟所有非必要的选择性手术,这严重影响了包括初级保健在内的门诊服务。As of April 2020, the number of visits to ambulatory care practices had declined by60 percentnationwide. In June,Health Affairsestimated a loss for primary care of up to$15.1 billionnationally, with primary care practices losing an estimated $67,774 in gross revenue per full-time physician.
Medical practices and health systems have scrambled to avoid burning through cash while also attempting to save lives. Some organizations made cost-cutting measures, such as furloughing employees. However, these solutions were inadequate because patients still needed care, and organizations still have revenue gaps to fill.
A more sustainable, pragmatic response to the downturn in ambulatory care has been shifting to virtual care. Whether organizations were ready for the transition from in-person to remote visits, the pandemic forced them to rapidly embrace virtual models and likely maintain them for the foreseeable future. Health systems that have made smooth transitions already had robust enterprisewide analytics practices in place, which they leveraged to inform changes to best meet patient needs and financial goals.
Even though ambulatory carereboundedsomewhat by May 2020, outpatient visits were still one-third lower than pre-pandemic rates. Furthermore, while outdated rules and regulations previously hindered virtual care adoption, theCMS announcedin spring 2020 that it would pay for virtual visits in parity with in-person care. These events reaffirmed virtual medicine as a new key player in healthcare delivery and the ongoing need for analytics to inform and optimize virtual models.
Analytics that proved essential for organizations to transition to virtual care successfully included dashboards for COVID-19 metrics. With critical insights—such as positivity rates, ICU volumes, and more—dashboards helped team members understand the virus’s state within their health systems, respond to pandemic-driven needs, and anticipate capacity requirements (e.g., personal protective equipment, ventilators, etc.).
Insight into provider and patient needs will continue to be critical as organizations plan for the technology and policies to deliver virtual care cost effectively throughout the crisis. Forward-looking tasks include launching a video/telephonic platform systemwide and incorporating virtual care as part of a financially successful practice (Figure 1).
能够顺利过渡到虚拟护理的门诊分析工具可以测量到提供者层面的性能,并确定是什么让每个提供者独立成功。这种提供者级别的视图,或实践管理的分析(图2),需要一套工具来查看损益表、生产率、患者访问、无显示、成本和开销以及收入周期。在大流行之前具备这些分析的组织可以最无缝地转向虚拟护理,因为它们已经定位自己,以了解每个提供者转型的影响。
Reimbursement was a pre-pandemic barrier to widespread adoption of virtual care. But with reimbursement parity for a virtual visit, for the time being, healthcare can expect to see the virtual models become a delivery fixture. Consumer demand will also drive virtual care adoption, as patients increasingly want to interact with the healthcare system the same way they interact with other services (e.g., contactless grocery shopping). Meeting these expectations for healthcare involves offering e-visits and consults, asynchronous and on-demand 24/7 visits, as well as bot-scheduled video visits and follow-ups.
The following analytics-driven actions will help organizations move their and their patients’ comfort zone from in-person care and makedata-informed decisions about shifting to virtual care:
Meeting patient expectations and organizational financial goals for virtual health requires health systems to change specific processes. Team members will need new training protocols from patient engagement to leveraging different EMR workflows to measure and deliver care efficiently.
With the in-person care model, competition is generally a geographically close practice or provider. In a virtual model, however, competition can be anyone across the country. Also, new technology, such as artificial-intelligence-enabled care, will become a factor as patients seek the most immediately available care. Health systems must identify competitors and proactively engage patients (e.g., with virtual outreach), who may be a risk of seeking care elsewhere.
Analytics that measure and show the impact of virtual care (Figure 3) will be critical to understanding virtual delivery performance, such as identifying barriers to patient engagement and technology needs. The ability to filter analytics by specialty, department, practice, and down to individual provider will offer the most actionable insights, as analytics show a shift from no virtual care to phone to video visits, then to increasing adoption with the reimbursement shift.
Scenario analysis helps the organization understand therevenueimpact of changes under virtual care by evaluating outcomes by visit type. For example, users can explore questions such as: how would a certain percentage of virtual visits impact revenue?
虚拟医疗可能对某些没有可靠互联网或智能手机的人群(如弱势社区)产生不成比例的影响。By breaking down patient populations by county, race, and ethnicity, organizations can identify groups that may need added support to shift to virtual care.
Provider productivity analysis shows the impact on organizational income of different workflows. For example, if a clinician adds another visit to her schedule, what’s the effect on work relative value units, patient experience, productivity, and income? Heatmaps can inform provider productivity by showing the high-demand time of day, guiding how to add visits and fill in gaps to drive virtual adoption.
管理每个护理团队的整个患者小组,可以让团队成员识别不来办公室的人,并针对外部服务,如虚拟护理,让这些患者在办公室环境之外参与进来。这些干预措施是避免患者被其他组织和网络夺走生命的必要工具。
To optimize revenue and patient outcomes and experience in the transition to virtual care, organizations must make significant adjustments, including adoption of new tools, behaviors, and workflows. Having enterprisewide analytics that are drillable down to the provider level will help health systems understand how to shift resources to optimize virtual delivery models across the continuum of care and understand the care experience beyond the four walls of a hospital or practice, including how patients interact with the healthcare system and what the growth of virtual models means for competition in a post-COVID-19 setting.
你想了解更多关于这个话题吗?Here are some articles we suggest:
Would you like to use or share these concepts? Download the presentation highlighting the key main points.
We take pride in providing you with relevant, useful content. May we use cookies to track what you read? We take your privacy very seriously. Please see ourprivacy policy详情和任何问题。