The number of quality initiatives is rapidly rising in the healthcare industry as stakeholders shift their focus toward the value of patient care. In addition, with the recent implementation of the Medicare Access and CHIP Reauthorization Act (MACRA), the rules surrounding healthcare reimbursement are being rewritten, incentivizing healthcare providers to prioritize the quality of patient visits over the quantity.
Historically, it has been difficult to achieve consensus on defining quality; therefore, it was not consistently measured. MACRA provides tools to assess quality of care, and lays the foundation for a future in which payers and providers must collaborate in new ways driven by patient data.
At this year’s annual HIMSS conference, a common topic of discussion was around how to continue to bring the technological and medical aspects of healthcare together to evolve, grow and support one another.
Non-stress tests (NSTs) are the current standard of care for monitoring high-risk pregnancies. Intended to reduce the risk of stillbirths, these tests are for those who have one or more risk factors, whether they be maternal, fetal or obstetric complications.
When it comes to mHealth, most industrialised nations such as the U.S. and Europe have a head start. Money for healthcare technology investments is available, the infrastructure is in place, and most of the population is already engaged in the healthcare system.
It is no secret that health systems are under intense pressure to deliver better outcomes at lower costs, and standardizing acute care workflow will only carry providers so far. Truly moving the needle on cost and outcomes will require a fundamental redesign in care delivery; otherwise, health systems may well find themselves left out. Care keeps shifting to environments in which hospitals have less influence: what was once critical care can now be managed in an in-patient unit; what was once in the hospital is now in an office; what was once in the office is now at home.
In recent years, our ability to stream large amounts of data in real-time has improved dramatically. This enhancement can transform how clinicians offer care by sourcing unprecedented opportunities for clinical decision support. However, the capability to process, store, and display data in and of itself does not transform care. Rather, it is how the clinicians adopt and apply decision support that will make all the difference to patients. However, the current environment must be altered to create a clinical decision support-friendly climate.
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