Healthcare

This is a complete guide to medicine delivery app development — from key features and costs involved to the best development strategies. Are you ready to meet the growing demand for such apps? Why you should read this article: * The global mHealth market was valued at USD 62.7 billion in 2023 and continues to grow. * Most consumers prefer digital solutions, meaning medicine delivery apps are in high demand. * Building a secure and scalable app can help improve patient care and boost b

With technological advancements, exploring trending features for healthcare apps becomes essential. They revolutionize the healthcare industry for good, offering more personalized, customer-centric, and secure medical services. Today, both healthcare providers and individuals alike are looking for better ways to manage their health and medical care. Their growing interest is driven by the need to get more personalized, secure, as well as efficient healthcare solutions. We at Mind Studios kno

Pharmacy owners and digital health entrepreneurs face unique challenges as they take on the responsibility of meeting personalized care demands and making pharmaceutical care more accessible to everyone. From navigating regulatory requirements to ensuring adequate medication counseling, building a successful digital pharmacy platform has become a complex journey. These challenges are magnified by the trend of providing a holistic approach to medication management, all while adapting to the rapid

Physical therapy and rehabilitation, in particular, is a type of healthcare that has historically depended on hands-on techniques to enhance patients' movement, mobility, and functioning. A person may need physical therapy after surgery or while recuperating from an accident to help them restore full function in a specific part of their body. Today, digital rehabilitation may be necessary on top of the traditional physical therapy practices following a medical occurrence. While customized trea

It is reasonable to assume that well-performing ML models for healthcare can improve efficiency and speed up decision-making by delivering practical insights. These insights can be used to make better decisions based on historical data such as diseases, family history, and genetics disorders, among other things. The initial stages in building healthcare machine learning (ML) models are selecting the problem and establishing the prediction task. In this article, we will examine the requirements’

Now, it’s not breaking news that almost every healthcare provider stores and operates clinical data digitally. And, theoretically, it should make it easy to access the data from other healthcare facilities per request. Let’s say, you are a doctor, and you require the patient’s laboratory results provided by another clinic. Getting it in several clicks would be more time-saving than asking your patient to specifically bring/send them to you, right? But unfortunately, the diversity of systems and

EHR and EMR systems in medical settings resemble having a comprehensive GPS for patient care: they provide real-time directions, helping healthcare professionals find the most efficient route to the patient’s well-being. These systems enable medical workers to efficiently manage and access patient medical records, enabling more informed and streamlined care delivery. In the USA, hospitals are choosing Epic API integration for these purposes. According to a report published in May 2023, nearly

Artificial intelligence in telemedicine holds a transformative power that can enhance experiences within the healthcare system for both medical professionals and patients. The existing traditional healthcare systems are getting increasingly hectic due to the collision between growing healthcare demands, a lack of skilled workers, and insufficient resources. So, imagine the relief of a burnt-out physician in an understaffed, highly stressful environment getting empowered by an AI-driven assista

According to studies, up to 90% of U.S. physicians use an electronic health record system. Of course, these technologies are quite useful in medical practice. 63% of primary care physicians say EHRs have helped them enhance treatment. Furthermore, 66% of them are somewhat happy with their existing EHR system. While EHR keeps track of healthcare information, CRM (Customer Relationship Management) handles patient connections to promote longer patient life cycles and a more customized medical exper

As the demands for healthcare providers grow, turning to decision support system development is not an indulgence but a strategic necessity for healthcare organizations that want to achieve better patient outcomes through innovation and make a difference in their field. Clinical decision support systems (CDSSs) are specialized applications that utilize data analysis to assist healthcare providers in making informed decisions, thus enhancing patient care. By leveraging knowledge management and

Digital products integrated into real-world environments can exert a range of influences, from enhancing individual user experiences to boosting the profits of an organization that launches them. In healthcare software, 'impact' takes on various meanings for different stakeholders. At Mind Studios, we view impactful healthcare software development as placing humans — primarily patients and healthcare professionals — at the core of our approach. This article is dedicated to exploring precisely

Healthcare is a complex ecosystem composed of various types of data. Patient health records, medical images, research insights, operational and financial data — this is just a fraction of what medical professionals deal with. However, only proper data management in healthcare can ensure the potential of this information is fully harnessed. Implementing effective data management methods empowers healthcare professionals to effortlessly search, access, retrieve, and leverage medical information