For an organization participating in any form of risk-bearing or value-based contracts, incomplete documentation leads to missed revenue. Our solution ensures the accuracy of clinical documentation to optimize revenue and HEDIS scores. FOR HEALTH PLANS Minimize administrative hassles and improve HEDIS scores with instant, digital, encrypted communication. Suspected gaps in documentation appear at the point of care, where they can be acted on immediately. More gaps are closed, faster.
Moxe helps streamline the risk adjustment process by leveraging the insights generated by health plans and presenting them to providers directly in the EMR. These insights can be used to identify and schedule high risk patients. During the patient visit, insights can then be acted upon and documented, providing you with a more complete picture of patient risk and the documentation you need to succeed in risk-based contracts. Get Started Today
Healthcare IT solutions are drivers of health reform and quality improvement in healthcare that creates a functional shift in the way practices operate. iPatientCare understands that each practice is unique, with its own needs. Our Quality Improvement Consulting Group (QICG) provides you with the necessary expertise required to improve the quality of your health services, improve health outcome, cost reductions, and enhance patient satisfaction. iPatientCare has launched various quality improvement services known as MUPlus and RegistryPlus, which are delivered through technology assisted education and consulting.
PROPRIETARY TECHNOLOGIES Automate and standardize much of the care transition process and streamline discharge planning workflows. Identify high-risk and high post-acute need patients with clinically-validated and evidence-based assessments. Reduce the amount of time the care team spends on labor-intensive care transition tasks like finding appropriate and available post-acute providers, managing high-performing networks, and building and transmitting complete referral packets to the next level of care. Optimize and supplement existing IT investments with bidirectional, real-time APIs that use open standards like HL7 and SAML.
The PDMP monitors dispensed drugs that contain controlled dangerous substances (CDS). The goal of the PDMP is to assist medical, pharmacy, and public health professionals in the identification and prevention of prescription drug abuse. It also promotes a balanced use of prescription data that preserves the professional practice of healthcare providers and legitimate access to optimal pharmaceutical care. The program is overseen by the Maryland Department of Health (MDH), Behavioral Health Administration (BHA).
Allows physicians and care managers to identify patients at risk for unplanned readmissions, inappropriate hospital utilization, medication non-adherence and other adverse events. Physicians and care managers see the specific causes of risk, and receive patient-specific guidance on how to mitigate that risk. Key Features: · Delivered as an app within the EMR, so the information is easy to access and act on at the point of care. · The only app to integrate real-time clinical data with person-level social determinants of health to pinpoint patients risk and its causes.
FAST and COLONPREDICT are two prediction models for colorectal cancer (CRC) detection in symptomatic patients. This tool was designed for doctors and other healthcare providers to use with their patients. It is designed to facilitate the decision-making process, simplifying the evaluation of symptomatic patients and providing risk stratification of these to facilitate prioritisation of referrals for endoscopy. FAST provides a prediction model based on easily obtainable variables such as fecal haemoglobin concentration (f‐Hb), age and sex.
Congestive Heart Failure Predictive Analytics application equips users to identify and test their chronic cardiac risks based on different algorithms. This App helps to identify patients who may benefit from more aggressive or novel therapies. Main features of Application · Mortality rate prediction for Heart Failure: Predicting 30 day and 1 year mortality rates for a patient admitted to the hospital for heart failure. · Hospital Readmission Probability: Predicting readmission for a patient hospitalized with heart failure.
The widely-used Reynolds Risk Score is used to estimate the 10-year cardiovascular risk of an individual. For patients and clinicians alike, this calculation is often reported in an esoteric, hard-to-read lab report. For our model of an improved Reynolds Risk Score reporting SMART App, we took an inspired Creative Commons design, the work of designer David McCandless, whose “Blood Work Cardiology Result” appeared in the Wired Magazine article “The Blood Test Gets a Makeover” (Wired 18.
Researchers at Boston University’s School of Medicine are trying to make the job of identifying those causes easier with its Candidate Driver Analysis (CaDrA for short) tool, which they’ve made available free to members of the research community.