Software Technology Insights - Learn, Develop, Grow

As the world around us changes rapidly, our aging populations, as well as public health crises ramp up the workload of providers, causing patient safety risks and negatively impacting patient satisfaction.

There exists an untapped potential for modern technology to propel changes in the healthcare system to increase productivity, improve the efficiency of care delivery and enhance patient satisfaction. And, Artificial Intelligence (AI) is one such technology that has offered a real opportunity for medical organizations to deliver better quality care.

The digital revolution has brought disruption in every field and mental healthcare is no exception. COVID-19 has provided us with an opportunity to improve the access to healthcare services.

Increasing a website's visibility in search engine results is the goal of search engine optimization (SEO) for SERPs. Increasing your medical website's authority and credibility is a key part of medical SEO.

The healthcare systems market has witnessed a large-scale shift towards more patient-centered care models in the recent past. The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is one of the most reliable ways to measure patient satisfaction which can help digital patient-facing and patient-monitoring doctors' apps meet leading market standards.

During the COVID-19 pandemic, we have seen intense pressure on the healthcare management sphere. The chaos that the pandemic brought resulted in many challenges for the healthcare system. Therefore, healthcare providers had no choice but to adjust their methods. Instead of in-person services, remote healthcare delivery was adopted to avoid transmission.

With healthcare organizations (HCOs) shifting toward patient-centered care, it is important to consider and measure the factors that impact or influence the quality of care. That is why, HCOs value patient satisfaction, as much as they value patient safety and clinical workflow improvements. 

A majority of healthcare data today, about 80% of it, happens to be unstructured. Most sources used for aggregating Electronic Health Records (EHR) require a considerable amount of pre-processing because most of them are not machine-readable. Natural Language Processing (NLP) and various Machine Learning (ML) techniques can, however, unlock all the potential enmeshed in unstructured data.

When it comes to seeking app-based medical solutions, physical health is often given precedence over cognitive or mental health. However, millions of people suffer silently from unseen, yet debilitating effects of mental illnesses. That is the pain area that the creators of the research-backed mental wellness app Wysa have chosen to address. 

Value-based care is the new normal in the healthcare industry. 

Healthcare stakeholders- patients, providers, payers, and suppliers are realizing the benefits of value-based care, and adopting it has become their major goal.

Innovative medical interventions that are new to the healthcare industry need to be evaluated through clinical trials before they are rolled out for real-time implementation. The field of clinical trials is going through a paradigm shift with digitalization. And electronic Trial Master File (eTMF) systems are a clinical trial documentation necessity for digitalization.