mHealth Solutions

 

The primary goal of mhealth is to improve communication between patients and providers, implement efficient chronic disease monitoring services, provide quick access to health data, and significantly improve the patient experience.



Comments

Post a Comment

Popular posts from this blog

Implementing Clinical Decision Support System for Evidence-Based Care

In the healthcare sector, the Clinical Decision Support system (CDSS) is a computer-based program that analyzes the data linked with EHR to provide reminders that help healthcare providers implement evidence-based care. It gives the healthcare organization accurate patient identification for accurate medical decision-making. The data is commonly administered through the EMR system and other clinical workflows, increasing by adopting EMR with advanced capabilities.  Clinical decision software solutions support healthcare providers looking for consistent and individualized results that fit the organization's particular needs. It is essential to format and deliver quality patient care, and so few vendors are selecting with an expensive database for CDSS. While the needs of healthcare providers and inpatient settings differ, some clinical decision support system vendors demonstrate the need to meet the demands of both branches in the industry. A clinical decision support system is ba...
Read more

How automation is simplifying insurance claims analytics in the US

From moving through heavy traffic to catch the physician for appointment to getting consultancy while driving to the office, from searching for the prescribed medicine to ordering it online, and from looking for better care at the hospital to getting it at home- Healthcare has changed multifold in the last couple of years.  But amidst that progress, claims analytic s are still a field that needs consideration. The automation provided within the insurance claims analytics in the US is paving the way for better business models and patient care. Things are starting to revolutionize as far as claims are concerned.  Medical claims are one of the toughest parts to deal with in the healthcare industry. The claim processes and eligibility criteria pose a whole new set of challenges with valid and invalid deductions. It required tonnes of paperwork and functional communication lines. This problem can be solved with data analytics automation. The process of predictive analysis can help...
Read more

A Bundled Model of Reimbursement Streamlines the Healthcare Payment System

Image
Americans spend a lot of money on healthcare. Healthcare spending in the United States has crossed $3.7 trillion, which is more than the entire economies of all but 4 countries. In addition to the cost of care itself, a major factor driving the high prices is the existing model of the healthcare payment system , which is called the fee-for-service model.   The Problem With Fee-For-Service Model Under the fee-for-service model of payments, a provider gets paid for every single aspect of care. For example  - when a man goes to a clinic for a consultation, he has prescribed some tests or sometimes might even be asked to get some scans. Subsequently, when the results arrive, they may or may not be definitive. If they are not, then the man would probably be asked to take more tests. Later on, he will be recommended appropriate treatments which are outpatient in nature, or through medication. In this entire scenario, each provider gets paid for the consultation, prescribed test...
Read more