No one doubts neither in public nor private healthcare industry about the need to undertake a deep transformation to optimize processes through digitization. The largest clinics have been taking steps towards that goal for years, thanks to the analysis of Big Data and access to the Internet, allowing patients to maintain online consultations through videoconferencing, for example, or removing paper from signatures to carry out the process in tablets through digital signatures. Smaller clinics, on the other hand, remain rudimentary, using paper for patient records and for signatures on any type of document.
Today, a few months after the appearance of the coronavirus and as we dive into “the new normality”, we realise that this trend towards healthcare industry digitalization, has become inexorably and overnight in a need to avoid contacts and agglomerations keeping the safety distances between patients and health professionals.
In 2009 we were worldwide pioneers in developing biometric recognition solutions for mobile devices, ahead of companies like Google or Apple. Many industries were optimistic about the huge potential of using biometric recognition to verify the identity of users in digital environments, but few companies had the courage to be the first in their sector to adopt such innovative technologies. — The ability to authorize a banking transaction with the face or access a mobile app with the iris seems more secure and simple than doing so with a user name and password— banks and financial sector companies assured us, — but the market is not yet mature enough for its adoption. When you have more customers in this sector, come back and knock on our door, we will surely incorporate it. — It was not until the incorporation of biometric sensors in mobile devices when these technologies began to be massively adopted for a wide range of use cases.
On the other hand, we quickly closed projects with our digital signature solution, many of them with clinics in the health sector. In this case the advantages were so obvious that its use was soon standardized, as our biometric signature meets all legal requirements set out in the many regulations and standards for electronic and digital signatures, removing paper, making the process more eco-friendly and consequently reducing costs, while improving the user experience and allowing the signing process anywhere at any time.
Therefore, from 2012 we began working with the first clinics in Spain that implemented the biometric signature to sign PDF documents face-to-face. To do this, we used tablets (iOS, Android or Windows) with a native app that integrated our biometric signature SDK, also connected to the clinic’s CRM to store the signed consents.
But today, it is urgent to go one step further, allowing the patient himself to sign any document from his smartphone either remotely at home or in the clinic itself, with a contactless and web-based signature solution avoiding the need to download any native app.
The potential of the use of biometric recognition technologies has no limits and with the same premise of avoiding physical contact between patients and healthcare staff, we can see solutions that range from contactless access to information at kiosks through facial or voice recognition (biometric authentication), to door opening and access to physical rooms with multi-biometrics.
However, in order to authenticate a user through biometrics we need to have the user previously registered in the system with some biometric samples to make the matching each time we verify its identity.
This seems relatively simple with the clinic staff since we can register them in our database and we can easily perform a biometric enrollment in a controlled and face-to-face way. Nevertheless, in the case of the patients it is not so simple.
In order to perform the digital registration of patients or to allow the patient accessing sensitive information, we can use a legally based identity document such as an ID card or passport.
The process for the user would be simple, using state-of-the-art technology based on artificial intelligence, deep learning and neural networks: The patient is asked to show his/her identity document to the camera, the document is automatically scanned and validated, the information is collected by OCR (or NFC) and finally a selfie with liveness detection is made to match the selfie with the picture on the id document using biometric algorithms.
This way we can verify a patient’s identity the first time accesses our systems. This process can be carried out in a web environment via a mobile device, a webcam or even at kiosks at the clinic.
In conclusion, our solutions based on biometrics allow the verification of the identity of patients in digital environments from the first moment in which they begin their relationship with the clinic through the scan and verification of their ID card in a digital registration process to multi-biometric recognition each time they access the system or consult their history, including the biometric signature with legal validity of consents and documents.
In addition, all these technologies allow contactless processes in tablets or kiosks, acquiring even more importance in the current situation to avoid contact between people.