What is the future of electronic health records? What has to change for doctors to see them as a benefit rather than a distraction? Daniel Piekarz, SVP, Head of Healthcare & Life Sciences Practice at DataArt, talks about healthcare trends and technologies that have the potential to lower healthcare costs.
– What are the current challenges and opportunities for the healthcare industry?
– In the healthcare world, the electronic health record system was definitely a significant innovation and implementation across the industry has been very quick over the last 10 years. The problem though is that innovation was fueled by Meaningful Use compliance instead of being fueled by actually streamlining the patient-doctor interaction.
– What is the main issue?
– We have found that many doctors believe the electronic health record is taking them away from the patient, slowing them down and there is just too much information in the system for the doctor to digest easily.
– But why? Is there anything specific?
– The state of the user experience is relatively poor. Many doctors are hiring scribes to sit there and deal with the electronic health record system, so they can deal directly with the patient. With a bit more of a focus on the user experience, we will see greater adoption of the doctor actually using the health record with a tablet in front of them while they’re talking with the patient.
The Future of EHRs
– What is the next stage of the electronic health record system?
– There is a trend where a lot of healthcare organizations are coming to companies like DataArt asking how we manage this information, how we can deliver the right information to the doctor at the right time. The ability to use big data, to go through that data and deliver to doctor the information they need at the time they need it is the next stage in the electronic health record system.
Latest Trends in Life Sciences
– And what about life sciences, what is the most revolutionary technology there?
– We moved from doing clinical trials on living organisms: humans, animals to in vitro on cells. Then to chip, where we actually have organs on chips and things like this. Now we can use virtual systems to model the human body so that we can test a drug to see what the likely outcome in the real world might be. And that’s one of the paths in the future of drug discovery, running simulations of clinical trials.
– How can we bring new drugs to market faster?
– Some of our clients are in the drug research and in the projects we are helping them with, they find that applications that may use artificial intelligence, big data, and other cognitive services actually helped the pharmaceutical company fail quicker. So by not taking a long path down an avenue that leads nowhere, they’re able to speed up the drug discovery process and get to that right answer more quickly.