In healthcare, patients’ data is scattered across multiple systems and not well integrated. As a result, there is poor visibility into hospital performance and, hence, difficult to foretell future demand and resource availability. Medical practitioners make critical operational decisions everyday based on gut feelings.
Technological advancements have been revolutionizing the decision-making process in clinical trials. Healthcare facilities are getting more inclined towards clinical decision support technology to harness data held hostage in disparate systems and place at the provider’s fingertips. This will not escape the care team’s attention and help them make better-informed assessments of a patient’s condition, ensuring high-quality care.
Over the last few years, electronic health records (EHRs) have gained traction. Physicians must see value in this technology and use the EHR to support clinical decision-making to meet clinical goals.
As the industry moves into the next phase, healthcare needs to include clinical decision support to aid care team members – physicians, nurses, and everyone who’s taking care of the patient.
We have listed a few technologies improving the efficacy of hospitals’ day-to-day operations:
Electronic health records are more than digital patient logs. They not just improve clinical documentation and access to patient data, but also provide clinicians with real-time patient’s medical history; including diagnoses, treatments plans, test results, medications, and immunizations. Moreover, EHRs connect clinical modules across the health network to improve appointment-scheduling, billing, and most importantly, coordination of care. With the adoption of this technology, medical errors have been reduced to a great extent, along with improved patient safety and increased reimbursements.
Thanks to the power of advanced analytics – healthcare organizations can now use an integrated dataset to make staffing decisions that improve operating performance.
A lot of industries are already using sophisticated data analytics to match staffing levels, thereby ensuring customer demand and expectations. It’s time for healthcare facilities to adopt these proven analytics and decision-support capabilities. This will help industry integrate and synthesize datasets, gaining a broad view of hospital-wide operations.
In a Nutshell
It’s important to note that patient care is not one-size-fits-all. With technological adoptions, healthcare providers can access decision-making resources with patient-specific care recommendations. To improve clinical effectiveness, physicians can leverage more advanced tools, thereby helping patients with the highest risk conditions.
Healthcare must take advantage of these technologies if they want to sustain in this increasingly competitive market.