A look at Max Healthcare’s technology road-map for 2020
Health

A Look at Max Healthcare’s Technology Road-map For 2020

In an interview with ETCIO, Prashant Singh, CIO, Max Healthcare, provides a peek into the new technology projects lined up for 2020.

Artificial Intelligence is evolving the way healthcare is being practiced and the outcomes are being delivered. There has been a shortage of trained healthcare professionals in the past, and the situation remains the same today also. In order to fill this skill gap, technology can play a crucial role. Besides, technology can create efficiency by leading to cost optimization and faster delivery.

In an interview with ETCIO, Prashant Singh, CIO, Max Healthcare, provides a peek into the new technology projects lined up for 2020.

Various use cases of AI in radiology have already been determined, specifically in X-Ray and CT. These are at different stages of outcome and would soon get combined with the PACS workflow. AI would enable accurate imaging approaches, thereby allowing medical imaging to play a larger role in the accurate medicine paradigm. We are also creating a De-Identified Data Lake (DIDL) contains clinical and non-clinical data, which can be further used for various other AI projects. Various APIs and integration scripts have been developed for continuous communication between the AI model and the existing software platform to evaluate MOS (Measure Of Success).

Overall assessment of the technology footprint, and its use cases, has already been completed, resulting in a clear opportunity in terms of enhancement and optimization. EMR enhancement is one such project on the priority list. It will increase compliance and help capture data at the patient bedside or point of care. Complete health records such as X-rays, vitals, prescriptions, medical history, previous consultations, and discharge notes of the patients become accessible to the physicians on mobile.

Other use cases of AI in pathology, disease prediction, patient bill estimation, etc. are underway.

There are a lot of opportunities to bridge the missing link in patient care delivery systems and experience. There are several PoCs underway for complementing existing systems such as patient movement tracking in pre-op, OT, and post-op aimed at allaying attendant anxiety.

Virtual Tumor Board is another project where digitalization can help join the dots by consolidating information from disparate systems, thereby leading to quicker decision-making and the start of the treatment.

We are enhancing the patient experience through consolidating various patches of applications into a single future-ready platform. This platform will consolidate and connect various other technology pieces to offer a seamless experience for patients starting from appointment and cutting across various touchpoints.

Recent advances in 3D printing in healthcare have led to lighter, stronger, and safer products, reduced lead times, and lower costs. Custom parts can now be tailored to each individual. This improves the understanding of patients and improves patient comfort level by allowing products that are designed especially for their anatomy.

We are exploring the usage of BLE (Bluetooth Low Energy) in various cases like patient tracking, hand hygiene compliance monitoring, asset tracking, etc. The use of big data and analytics, in the area of clinical data, is being discussed discussion with various partners of technology.

What’s your technology roadmap for 2020?

Our major focus areas going forward are patient engagement and Safety, an increase in transparency, cost optimization, and more entries of clinical research subjects. Our selection of newer technologies revolves around searching outcomes for these indicators. While deciding on any new technology initiatives, key indicators driving business MOS are discovered to avoid confusion in analyzing the impact.

Cyber Security being the biggest threat also takes its unavoidable priority. Hence, more attention has been planned for VA/PT and BCP.

Along with deeper penetration and more adoption of AI in healthcare, I see Augmented Reality (AR) is another big thing capable of revolutionizing efficiency and cost optimization aspects of surgery while improving error rates owing to the high degree of precision offered in terms of surgical navigation and locating targets within the patient’s body.