Viemed Healthcare, Inc. | July 06, 2022
Viemed Healthcare, Inc. a national leader in respiratory care and technology-enabled home medical equipment services, announced a third peer-reviewed and published study demonstrating the benefits of non-invasive ventilation at home The study, titled “Early Initiation of Non-Invasive Ventilation at Home Improves Survival and Reduces Healthcare Costs in COPD Patients with Chronic Hypercapnic Respiratory Failure: A Retrospective Cohort Study” was published in Respiratory Medicine, an internationally renowned scientific journal devoted to respiratory medical research.
“In addition to the significant clinical benefits demonstrated in previously published papers, this study demonstrates that NIVH improves health outcomes while simultaneously driving down overall healthcare costs. The study was also designed to investigate how the timing of NIVH initiation affected the outcomes. The results showed that the clinical and financial benefits of NIVH are greatest when therapy begins immediately following the diagnosis.”
Dr. William Frazier, Viemed’s Chief Medical Officer and co-author of the study
Using the 100% research identifiable fee-for-service Medicare claims from 2016 through 2020, the researchers found that using NIVH to treat chronic obstructive pulmonary disease with chronic hypercapnic respiratory failure is associated with significant reductions in mortality, hospitalizations, and total Medicare costs. In terms of cost-savings, Medicare expenditures for the year following NIVH initiation decreased by $5,484 compared to controls if treatment was begun within seven days of diagnosis. The cost reduction was $3,412 if NIVH was begun within 15 days of diagnosis. For patients whose therapy began more than 15 days after diagnosis, NIVH use was cost neutral and not associated with an increase in Medicare expenditures.
The primary clinical benefit was a reduced mortality in patients treated with NIVH. When a patient began therapy within seven days of diagnosis, the risk of death was reduced by 43%. Those patients who began therapy between eight and 15 days following diagnosis showed a mortality reduction of 31%, and patients who began therapy between 16 and 30 days following diagnosis showed a mortality reduction of 16%.
“NIVH is becoming widely accepted by clinicians as the standard of care for hypercapnic COPD-CRF treatment and this evidence supporting early initiation will help us to communicate the clinical and economic benefits to payors and partners,” said Casey Hoyt, Viemed’s CEO. “By accessing and treating more patients sooner, we can save lives, reduce hospital readmissions, and save money at the same time.”
ABOUT VIEMED HEALTHCARE, INC.
Viemed is a provider of in-home medical equipment and post-acute respiratory healthcare services in the United States. Viemed’s service offerings are focused on effective in-home treatment with clinical practitioners providing therapy and counseling to patients in their homes using cutting edge technology.
KAID Health | August 02, 2022
KAID Health, an AI-powered health care data analysis and provider engagement platform, announced the results of a study that validates the potential utility of its Natural Language Processing technology to improve provider efficiency and care quality. The peer-reviewed “doctor vs. artificial intelligence” paper found that KAID Health’s NLP technology greatly aligned with the clinician reviewers in completing a pre-operative checklist, and further was able to identify 16.6% of instances where the presence or absence of a specific condition was not found by the anesthesiologist. The research study was undertaken at UCSD’s Department of Anesthesiology, Division of Perioperative Informatics. The authors of the manuscript were Harrison S. Suh, BS, Jeffrey L. Tully, MD, Minhthy N. Meineke, MD, Ruth S. Waterman, MD, MS, and Rodney A. Gabriel, MD, MAS.
“We have demonstrated that NLP technology can help identify critical medical conditions relevant to preanesthetic evaluation. Key to this was KAID Health’s ability to utilize unstructured free-text input from the electronic medical record to flag critical medical conditions for anesthesiologists,” researcher and senior author Dr. Rodney Gabriel explained. “This research shows that NLP may be a useful tool to aid preoperative anesthesia providers in screening and evaluation of surgical patients.”
For each of the 93 patients in the study, researchers collected all pertinent free-text notes from the EMR. The free-text notes were then processed by a Named Entity Recognition pipeline, which incorporated an NLP machine learning model developed by KAID Health. The model recognizes and labels spans of text that correspond to medical concepts. Medical concepts were then mapped to a list of medical conditions that were of interest for a preanesthesia evaluation. The most common conditions that the NLP pipeline captured that the anesthesiologist did not include cardiac arrhythmias, angina, anticoagulation, peripheral vascular disease, obstructive sleep apnea, and neuromuscular disease.
“We are proud that leading academic institutions, such as UCSD, are partnering with KAID to ensure our NLP and AI models meet the demanding accuracy and usability standards required of the industry. KAID Health’s NLP technology played a vital role in this study in identifying pertinent preanesthesia history to optimize efficiency for anesthesiologists. Our model demonstrated that NLP holds the potential to reduce clinician workloads, improve profitability, and, most importantly, make surgery safer.”
Kevin Agatstein, CEO of KAID Health
The International Anesthesia Research Society published the study, “Identification of Preanesthetic History Elements by a Natural Language Processing Engine,” in its journal, Anesthesia & Analgesia, one of the leading anesthesiology journals in the world.
About KAID Health
KAID Health makes care delivery more efficient, effective, and profitable for providers and their payers and Accountable Care Organization partners. Its Whole Chart Analysis platform extracts all relevant data from electronic medical records, including structured data and text, using artificial intelligence and natural language processing. The solution identifies the patient care interventions needed for providers to achieve their clinical, financial, or operational objectives. In parallel, KAID Health extends to payers a comprehensive view of members’ health by combining claims and EMR data. Today, KAID Health’s technology is used by leading providers, health systems, academic medical centers, and payers to automate a variety of workflows, including coding accuracy, quality measurement, prior authorization support, and pre-operative assessment. The company was founded by a veteran team of healthcare information technology and population health innovators. It is based in Boston, MA.
AESOP TECHNOLOGY | August 23, 2022
AESOP Technology announced that they have been accepted into Mayo Clinic Platform Accelerate, a 20-week program that helps early-stage health tech AI startups get market-ready.
Participants are selected through a competitive screening process where a panel of Mayo Clinic leaders reviews them from the clinical and operational perspective, led by John Halamka, MD., President of Mayo Clinic Platform.
"It's an excellent opportunity for a medical AI startup like us. Data is the fuel from which everything grows into power, and this program provides de-identified patient datasets and tools to help us validate our solutions. This practical experience will help us go even further in developing better products. The fact that we get to be mentored by Mayo Clinic's reputable experts is inspiring."
Jeremiah Scholl, the CPO of AESOP Technology
'AESOP', which stands for 'AI-Enhanced Safety of Prescription', is working to make physician data entry easier, faster, and less error-prone using machine learning on 3.2 billion data sets. The company has developed products capable of this. One is RxPrime which detects wrong drug errors by checking if medications match patients' diagnoses, age, and gender.
Errors can happen at any stage of the medication-use process, but more than 50% of them occur during the prescribing phase. RxPrime is able to detect potential and unexplained errors in prescriptions and provide optimal recommendations, even for the look-alike-sound-alike medication errors. It offers just-in-time decision support without interfering unnecessarily with the clinical consultation process.
The other is AESOP Technology's latest clinical documentation improvement tool, DxPrime, making it easier for doctors to input correct diagnoses into electronic health record systems. This task can be challenging as there are 68,000 different diagnosis codes under the International Classification of Diseases. The ICD codes were designed to support insurance and billing rather than clinical medicine.
"Medical professionals are more overwhelmed with their workload after the pandemic. How AI can support them gains more importance," says Jim Long, the CEO of AESOP Technology. "AI is transforming the healthcare industry in a variety of ways, like any other industry. Healthcare has unique challenges, and this program will help us be more grounded."
As a participant of the Mayo Clinic Platform_Accelerate, AESOP Technology is glad to expose themselves to real-world applications, which helps cultivate future growth in this rapidly progressing field. As part of the program, Mayo Clinic will take an equity position in the startup.
About AESOP Technology
AESOP aims to optimize the clinical decision support process with more flexible AI-powered technology to improve patient safety and medical coding quality.
VitalConnect, Inc. | September 13, 2022
VitalConnect®, Inc., a leader in remote and in-hospital wearable biosensor technology, announced the completion of an investment funded by Health Insight Capital, the investment arm of HCA Healthcare Inc. one of the nation’s leading healthcare providers. The investment will go toward further accelerating VitalConnect’s rapidly growing cardiac monitoring business segment while advancing key Remote Patient Monitoring of individuals who have experienced heart failure (HF), chronic obstructive pulmonary disease (COPD) and sepsis, among others. This funding support is expected to help VitalConnect continue bringing the most advanced technology to patients and providers.
“This strategic investment from HCA Healthcare will further accelerate VitalConnect’s expansive growth and upward trajectory in the Cardiac Monitoring space. We’ve experienced unparalleled physician adoption and growth over the past 18 months since launch, and HCA Healthcare’s investment will enable us to continue bringing customers the most comprehensive remote patient monitoring platform.”
Peter Van Haur, CEO, VitalConnect
Founded in 2011, VitalConnect has deployed hundreds of thousands of biosensors throughout the world, including care facilities such as Brigham and Women’s, Hackensack Medical Center, Northwell Health, and John Radcliffe Hospital-Oxford University. The VitalPatch allows real-time remote or in-hospital monitoring, allowing physicians to optimize the delivery of care to their patients.
About VitalConnect, Inc.
VitalConnect is a leader in wearable biosensor technology for wireless patient monitoring in both hospital and remote patient populations. VitalConnect leverages extensive expertise in biomedical engineering, data analytics, chip design, and mobile and cloud software to create technology that supports decision-making paradigms that achieve better health and economic outcomes. VitalConnect’s products are designed for use in a broad range of inpatient and outpatient settings, such as hospital monitoring, post-discharge care, cardiac monitoring and pharmaceutical solutions. VitalConnect’s advanced yet easy-to-use platform, was designed to deliver better healthcare at lower costs while providing more convenience for the patients and healthcare providers.