{"id":4736,"date":"2018-06-26T20:46:08","date_gmt":"2018-06-26T20:46:08","guid":{"rendered":"https:\/\/www.walkme.com\/blog\/?p=4736"},"modified":"2023-05-02T15:43:45","modified_gmt":"2023-05-02T15:43:45","slug":"value-based-care","status":"publish","type":"post","link":"https:\/\/www.walkme.com\/blog\/value-based-care\/","title":{"rendered":"How AI is Smoothing the Road to Value-Based Care"},"content":{"rendered":"The road to value-based care is long and winding. For many healthcare providers, the journey is anything but easy.\n\nValue-based healthcare is a care delivery model that pays clinicians based on patient health outcomes. This is a monumental shift from traditional delivery models, which reimburse providers based on the amount of healthcare services they deliver.\n

Discover the solution that will help your clinicians adopt new digital tools and thrive under value-based care.<\/a><\/h3>\nHospital leaders and clinicians have faced many obstacles as they navigate this transition. Federal regulations are constantly changing. Hospital strategy is evolving. The rollout of electronic medical records<\/a> threw workflow out of whack. Meanwhile, clinicians must still improve care and provide a better patient experience.\n\nNow, a new breed of technology may offer a detour.\n\nArtificial intelligence could be hospitals\u2019 fast pass to success in a value-based care model.\n

Value-based care will mend a broken system<\/h2>\nTraditional reimbursement models paid physicians for every test, treatment, and service they provided. This fee-for-service model produced an unsustainable system that was costly and inefficient.\n\n\"healthcare\n\nIn 2015, CMS introduced an effort<\/a> to transition to a system that rewards value of care instead of volume of services. The shift to value-based care has three key goals:\n
    \n \t
  1. Improve healthcare outcomes for patients<\/li>\n \t
  2. Foster greater coordination of care services<\/li>\n \t
  3. Slow the growth of healthcare spending<\/li>\n<\/ol>\n

    Today\u2019s healthcare challenges demand advanced technological capabilities<\/h3>\nProviding high value care is also critical for handling rising patient volumes. According to the National Institute of Health<\/a>, the rate of hospitalizations in the U.S. will increase by 67% by 2050. Meanwhile, many hospitals currently operate near 100% capacity.\n\nAs demand for inpatient services increases, hospitals need to improve efficiency and quality of care.\n\nTechnology is a key piece of this puzzle.<\/strong>\n\nArtificial intelligence is a game changer. AI can improve clinical decision making and efficiency of care. It will enable hospital executives to make better use of prior technology investments. Most important, it will produce better patient outcomes.\n

    AI will empower your clinicians and patients at every touchpoint<\/h2>\nForward-looking healthcare leaders have already found ways to apply AI in the healthcare setting.\n\nWith high-level adoption, AI can improve care delivery and the patient experience.\n\nHere are three examples.\n

    1. Advanced data analytics will support clinical decision making and save lives<\/h3>\nHospitals are already collecting massive volumes of information. Electronic monitoring devices, imaging systems, wearable sensors, and other digital tools output countless data.\n\nBut it is nearly impossible for clinicians to sift through these stores of data in a time-effective, meaningful way.\n\n\"data\n\nThis is where AI can help. Advanced data analytics within AI systems can support clinical decision making and reduce physicians’ cognitive burden.\n\nAI-enabled solutions can integrate real-time metrics with patient histories in the electronic medical record (EMR). This would allow physicians to:\n