Griffin Health Hospital is based on the Griffin Hospital in Derby, Connecticut, a sharp care community hospital of 160 beds that serves more than 130,000 lower residents of the Nouogatok Valley.
Challenge
Like many health systems, GRIFFIN Health has struggled to ensure that patients receive a timely follow -up when the photography study revealed a discovery that requires additional photography to diagnose a problem or provide a clear answer to the applicant.
“The results of the explicit and fresh rays often indicate the early stages of the disease, but throughout the industry, about 50 % of the recommended additional photography is not performed,” said Todd Leo, CEO and COO in Griffin Health.
“The causes are varied, but they include uneven delivery, central tracking lack, poor communication, and gaps between rays and primary or specialized care teams.
“We had manual systems to notify applicants, but we lacked an effective way to manage and organize follow -up, coordinate with our patients, and monitor what happened after that,” he continued. “It was appropriate Follow -up photography study Who is decided? Did the patient study? Was there a clear diagnosis or answer for the reason for the order to arrange the study of photography? “
Griffin Health worked hard to ensure that patients have any follow -up studies that were requested and completed, but there was no way to manually manage the work burden and employees have not always been able to make sure that the patient appointed him. This was a safety issue that the health system no longer could bear.
“We needed a solution to this challenge that would help to close this episode, not only at the time of the initial report, but even the decision,” Liu said.
an offer
Inflo Health, a follow -up seller, approach Griffin Health with a suggestion: if it is A artificial intelligence health system can use To determine the radiology reports with the recommended filming of the recommended follow -up, automation of its escalation in the course of care coordination, and coordination care, GRIFFIN Health can significantly improve compliance with the follow -up and safety of patients without being overwhelming employees.
“The platform will help to determine the open recommendations of additional photography studies in actual time, and put each patient in a suitable and pre -followed care path for follow -up, and pushes our patients and service providers to work,” explained to Liu.
“What made the particularly convincing approach is its flexibility.” “The system is designed to connect our current operations and increase our internal ability to track and work in results – not to replace our current workflow.”
Not only was the goal to inform patients at risk, but to automate awareness and provide visions in each step of the process of the process, from identifying the identity to the closure.
“This helped us ensure the closing of the episode and there was a mechanism to track the responsibility of the service provider, progress and results in one place,” he said.
Facing the challenge
Griffin Health included Inflo technology in current navigation operations. The platform started Analysis of radiology reportsLooking for a language or patterns that indicate a large possible discovery, such as the lung doctrine. Once defined, the platform organized patients in the workflow based on the type of follow -up required and timing for the next step in care.
“Automatic Automatic Awareness has been presented to ensure the request for the next recommended step in EHR, monitor the patient’s participation, and determine whether the follow -up has occurred,” Leo explained. “With this information is central now in one place, our care coordinators can start using the system to monitor and select any missing studies, identify barriers, and connect the patients directly when necessary.
He added: “The system gave them a central information panel that follows the case of each case: the initial result, the recommended follow -up, and whether this date has been determined, and if the patient is ultimately conducting a follow -up study.”
results
First of all, the use of technology increased from the closure rate by 50 %.
“With regard to fair transverse results – which include nodules and other results that have not been explicitly evaluated – we realized a 50 % improvement in closing rates,” Leo said. “This means that more patients get the care they need, and a lower number of cracks. From the perspective of risk management and patient safety, this transformation is huge.”
Second, the follow -up rate increased by 17 %.
“The completion rate of our follow -up increased to patients who have been marked by 17 %,” he said. “This represents a meaningful leap in real patients who are seen, diagnosed and treated sooner. In some cases, the difference between hunting the disease is early and lost a window for intervention.”
Third, patients were registered in the lung cancer examination program on the basis Artificial intelligence recommendations.
“Inflo Health helped and register 18 patients in our lung cancer examination program – patients who may not participate at that critical moment,” he explained. “This is a real life that is likely to be extended or preserved because the artificial intelligence system has appeared on the right data in a timely manner, and our teams have been equipped to work on.”
Advice for others
Be clear about the problem you are trying to solve – and advise Liu.
“For us, the priority was to close the episode on follow -up care,” he explained. “We needed to track the results; but most importantly, we needed a system that created implementable information. Whatever the technology you choose, make sure it is not only problems or produces more data – it needs to facilitate people to do the right thing.
“Second, do not reduce the importance of working with service providers and members of the care team to integrate new tools studied into the current workflow when it is possible.” “The best Amnesty International in the world will not make a difference if your teams do not use it – or if it is not integrated into the way service providers and employees do their job.”
In the case of GRIFFIN Health, success depends on choosing a platform that can work with care coordinators and doctors.
He concluded by saying: “Good technology must always support basic processes and workflow, and do not dictate how to provide service providers and employees to patients.”
Follow Bill Hit coverage on LinkedIn: Bill Seuiki
Email him: bsiwicki@himss.org
Healthcare is Hosz News.
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