The Review performing in the yearly health IT point of The American Journal of Managed Care® indicates the advantage of machine knowledge to divine who will use healthcare and whereby electronic health records cannot resolve all the possible puzzles.
CRANBURY, NJ – There are possibilities for savings and better care performance if the health system takes the power of machine learning, telehealth, and compact licensure, according to analysis and commentary following in the annual health information technology (IT) distribution of The American Journal of Managed Care®.
Presently in its ninth year, the annual health IT issue highlights an essay from various guest editor Ilana Graetz, Ph.D., who is an associate schoolmaster in the Department Policy & Management at the Rollins School of Public Health at Emory University.
Graetz explains how a decade after learning of the American Recovery and Reinvestment Act, electronic health records (EHRs), and imminent tools have arrived that can improve target interventions to those sufferers most likely to drive up healthcare prices.
Regrettably, she writes, technical, legal, and institutional barriers prevent them from being used to their full potential. Also, she records, “it is clear that EHR rules are not silver bullets that will automatically appear in better coordination of interest and quality.”
“Presently that the nation’s healthcare providers have achieved broad adoption of EHRs, the next phase of the study, highlighted in this year’s seasonal health IT issue, examines innovative methods for using data to promote population health, the role of trust and provider relations, and enduring barriers to interoperability,” states Graetz.
Signs of this year’s point incorporate:
- A review by Pooja Chandrashekar, AB, and Sachin Jain, MD, MBA, on the requirement to move away from state-based medical licensure, which would enable doctors to reach sufferers in underserved areas through telemedicine; this would allow better distribution of professionals and mental health specialists.
- Research by the investigators at Penn State and the RAND Corp. decided that while the selection of a certified EHR is rising, only 38 percent of clinics announced having all 16 health IT functionalities in 2016, with patient-facing characteristics among those less likely to be in place.
- Pair various studies on machine knowledge had mixed results: A survey of the use of machine learning in divining reliance on primary care in the Veterans’ Administration Medicare policy found that it brought only modest changes. Nevertheless, the investigators from Jvion found their algorithm could foretell which sufferers were likely to visit the accident room or be readmitted to the hospital within 90 days, based on capturing simple data subjects: age, gender, race, and a person’s address.
- Finally, this month’s issue features an interview with the cardiologist and digital medicine researcher Eric Topol, MD; this is the first of a series that will appear in the journal to mark its 25th anniversary. Topol discusses the cultural barriers to using more technology and eliminating the number of people affected by healthcare.
The American Journal of Managed Care®
The American Journal of Managed Care® (AJMC®) is a multimedia peer-reviewed, MEDLINE-indexed account that keeps industry leaders at the forefront of health policy by sharing digital study relevant to administrative decision-makers. Other trademarks in the AJMC® family include The American Journal of Accountable Care®, Evidence-Based Oncology™, and Evidence-Based Diabetes Management™.
These complete multimedia brands bring together stakeholder views from payers, providers, policymakers, and other industry leaders in managed care. AJMC® is a brand of MJH Life Sciences™, the largest privately held, independent, a full-service medical media company in North America dedicated to delivering trusted health care news across multiple channels.
