|AI can improve electronic health records (EHRs) to handle and protect patient data / Credits: Thanakorn.P via Shutterstock|
The healthcare industry has to deal with large amounts of data every day. It’s extremely difficult not only for clinicians but also the entire staff to consolidate information. Thus, electronic health records (EHRs) have greatly helped the industry handle and protect patient data. However, these also introduced new problems/issues such as limited interoperability, disrupting clinician workflows, and creating data overload. This is where artificial intelligence comes in.
According to EHRIntelligence, the leading online resource for the latest news and product information about EHRs, ICD-10, HIE, and other health IT-related issues facing ambulatory and acute care facilities, health data interoperability or the ability of computer systems or software to exchange and make use of information remains a problem for physicians. A survey conducted by the Center for Connected Medicine (CCM) reported that nearly one-third of hospitals and health systems stated that their interoperability endeavors are insufficient.
Unfortunately, few of the respondents are utilizing new-age tools such as application programming interfaces (APIs), AI, and blockchain to improve interoperability. The report showed, however, that 52% said that advances in tools will offer some solutions to interoperability issues. Janet King, a senior director of marketing insights at HIMSS Media, stated that extending advancements in interoperability to the broader healthcare ecosystem is important to improve digital health initiatives and ways to serve patients.
“Advancements in technology solutions are recognized by more than half of the healthcare leaders responding to the research as among the most critical elements to make that happen,” King said.
AI can also greatly help in lessening the EHR burden to physicians. A 2017 study conducted by the American Medical Association (AMA) and the University of Wisconsin revealed that he demands of EHR data entry are dividing clinicians’ time and attention in half. Usually, clinicians spend hours on clinical documentation, order entry, billing and coding, inbox management, and security procedures.
“We are always looking for ways to improve the experience of our patients and clinicians, and we’re sensitive to the fact that in addition to the benefits of EHR adoption, technology can create competing demands on physician time and attention,” Lisa Stump, senior vice president and CIO of Yale-New Haven Health and Yale School of Medicine, said.