Jvion, a leader in prescriptive clinical artificial intelligence, have announced their predictions for healthcare in 2021. As the outcome of the 2020 election comes into focus and the pandemic surges to its most severe stage yet, both factors are expected to weigh heavily on the direction of healthcare in the year to come.
“With the election decided, it’s clear that health system revenue will continue to shift to value-based care models,” said Dr. John Showalter, Jvion’s Chief Product Officer. “Once it reaches a tipping point of 50% of total revenue, providers’ financial performance will be inextricably linked to their patients’ outcomes.”
“To survive, providers and payers will need to harness their data to predict and mitigate patient risk, and prescriptive clinical AI will be an essential capability,” adds Dr. John Frownfelter, Jvion’s Chief Medical Information Officer. “And with a new surge in Covid-19 extending the toll on health systems through at least early 2022, clinical AI will be more essential than ever to prevent negative quality events and keep costs down.”
In this context, Dr. Frownfelter and Dr. Showalter predict four key trends will drive change in healthcare in 2021:
Value-based care accelerates, hinging on election and Supreme Court outcomes.
A Joe Biden presidency will likely accelerate the trend towards value-based care, with the pace depending on who ultimately controls the Senate following runoff races in Georgia. Democratic control will likely lead to a stronger legislative push for capitation over fee-for-service models, while divided government may limit action to the executive agency level. The Supreme Court will also impact this trend if the ACA’s value-based incentives are upheld or overruled.
Consumerism will drive greater transparency in clinical AI applications.
As patients shoulder an increasing burden of healthcare costs, and new HHS rules require greater price transparency, patients will be more engaged in their care and demand to know why costly procedures and services are necessary. This trend will drive healthcare payers to invest in prescriptive clinical AI platforms that deliver personalized care plans and engagement recommendations for their members. With more transparency around the use of clinical AI, patients will better understand their risk and be empowered to take action to reduce their risk.
Clinical AI adoption will expand for behavioral health use cases.
The pandemic has fueled a national mental health crisis, with 40.9% of Americans showing signs of adverse mental or behavioral health conditions. Combined with the shift to value-based reimbursement models, these trends will drive more behavioral health providers to adopt prescriptive clinical AI solutions to predict which patients are at risk and apply clinically-validated interventions to prevent adverse behavioral health outcomes.
Pandemic economy will intensify impact of social determinants on health outcomes.
8 million Americans have been driven to poverty since the pandemic recession began. This means social determinants of health (SDOH), such as unemployment, housing instability and malnutrition, will have a greater impact on patient outcomes in 2021. To improve outcomes, providers will need to better understand the social and economic needs of individual patients, how they impact their risk, and what resources can be leveraged to address their needs. Prescriptive clinical AI will be a valuable tool for delivering these population health insights.