● From prevention to patient empowerment
Empowering patients towards their own capacity of taking decisions about their own care conditions. Self-sufficiency in their early-diagnosis and embracing a healthy lifestyle adoption according to their needs.
Patient empowerment will be supported by all-embracing and e-health and constant e-learning tools that provide the clinicians and the patients with the skills to interact through online communities. All and all contributing to a shortening of the patient journey finalizing on an improvement of the standards of health and contribution to the healthcare sustainability of the future.
An end to end patient-management system that improves outcomes for high-risk patients with remote patient monitoring, and the patient preferences in choice of the best treatment and administration route through this patient empowerment which are already becoming a reality.
● From Patient Support Programs (PSP) to Digital health
Universal primary care services are already a reality, in countries that we would have never thought could, and it comes together by the revolution of health and its whole new digital approach.
We are achieving a privileged strategic position thanks to what is known as the “intelligence of the patient” and “user experience”, being able to cross-sell products, and services offering the best option at the best moment, becoming the “next best action” model. Also, cross-border along with the new digital health diplomacy achievements.
Initiatives are necessary to be implemented, adapting healthcare systems to new needs, and also seizing new opportunities to capture value. In this line, telemedicine, e-pharmacy approaches, self-diagnosis tools and artificial intelligent assisted attendance and service to patients have come to stay.
Excellent digital adoption by different healthcare systems permitting Electronic Health Records in pharmacies and hospitals and encouraging electronic sick leave notices, e-prescriptions and other services that can be prescribed electronically, online video consultations as a new commodity channel, and allowing doctors to provide information on digital services on their websites.
Digital Health constitutes one of the major transformational areas: towards prediction, personalization and efficiency. The efficiency, effectiveness and quality of health by streamlining information systems and promoting the sharing and interoperability of data in a secure way, as well as contributing to the personalization of the services provided.
● From treatment to early diagnosis
We are at the point where predictive technology can take a blood sample and forecast healthy lifespans from a genomic and proteomic perspective, allowing for more precise and personalized treatments.
We can assume that AI is the new fashion in healthtech. And more than this, it has come to stay. As if we ask ourselves what comes next we can say: AI is the next.
AI is all over… but what about the use cases of AI on behalf of healthcare progress, patient humanization and sustainability of healthcare.
Its contribution is essentially key.
It is easy to respond and focus AI on improving early diagnosis and better pathology prognosis. All and all it is a matter of optimizing the patient journey. Así que simple as this.
Though, selecting the proper inputs to include in the blackbox it is sometimes an exercise of panacea, we need to be close to the key stakeholders that surround the day a day of the patient, the healthcare professional, the caretaker and the caregiver, and above all involve the patient in this input selection process through focus groups and why not ethnographic studies.
After all, the algorithm’s optimum functioning has to do with improving diagnosis, though detecting the pathology at early stages. Besides, patient empowerment plays a key role in this initial phase as it has to do with training in how to be able to deal with his own care condition and take his own decisions of care. Achieving better prognosis of the pathology has to do with embracing precision and predictive medicine, forecasting the outcome before it takes place and putting ourselves in a position of priority understanding along the course of the disease. Ad-hoc treatments aligned with the omics disciplines, as to say proteomics and genomics.
