BizTV Texas interview with Steve Miff: How PCCI is helping the under-served in our community
PCCI CEO Steve Miff was recently interviewed by BizTV Texas. On the show, All In With Bryan Weatherford, Dr. Miff explained how PCCI is playing a critical role in leveraging data science, expert clinicians and social determinants of health to better respond to the under-served in our community. Please click on the video below to see the segment:
DCEO Healthcare: The Predictive Model Preventing Adverse Drug Events and Saving Millions
HIT Consultant: Parkland Hospital Saves $17M With PCCI’s AI-Powered Predictive Model
Mobile Health Times: PCCI’s predictive model helps prevent in-hospital adverse drug events
PCCI’s predictive model helps prevent adverse drug events
DALLAS – Parkland Center for Clinical Innovation (PCCI), which improves healthcare for vulnerable populations with advanced data science and clinical expertise, has developed a predictive model that in two years has helped prevent more than 2,000 adverse drug events (ADEs) for hospitalized patients, delivering a potential savings of over $17 million by reducing re-admissions and eliminating ADEs.
The program, Patients at Risk for Adverse Drug Events (PARADE), is a partnership between PCCI and Parkland Health & Hospital System. During the two years of implementation, PARADE has demonstrated positive results combating ADEs, a problem that impacts more than 450,000 patients nationwide and increases the risk for re-admissions, lengthens the stay of patients by two to three days and adds almost $4 billion in extra hospital costs annually. The most common drug classes associated with ADEs include anticoagulants, diabetes medications, and opioids.
PARADE screens all adult patients at the point of hospitalization and flags high risk individuals who can benefit from pharmacist intervention. To score a patient’s level of risk, PARADE captures a patient’s medical history, including medications and disease complexity, prior healthcare utilization, demographics and social determinants of health. It then provides results in real-time, with seamless integration into a patient’s electronic health record (EHR).
During its two years of implementation at Parkland, the PARADE program has screened more than 87,000 patients, with 8,731 high-risk patients identified. Of the high-risk patients, 16 percent received timely pharmacy intervention and more than 2,000 adverse drug events were prevented. For high-risk patients receiving a consult, the 30-day readmission rate was cut by 23.5 percent.
“Close collaboration with Parkland’s front-line pharmacy team from idea to implementation has been critical for the success of PARADE,” said Manjula Julka, MD, PCCI’s Vice President, Clinical Innovation. “PARADE has proven to improve quality of care by helping the pharmacy team to identify and intervene with high risk patients within 24 to 48 hours of admission. Upwards of 50 percent of ADEs are detectable and preventable and PARADE gives us a potent tool to help hospitals stay ahead of a difficult problem that causes longer stays and drives significant costs for hospitals.”
Kristin Alvarez, PharmD, BCPS, Associate Director Clinical Advancement/Best Practices for Parkland and Brett Moran, MD, Chief Medical Informatics Officer for Parkland, led implementation of PARADE at Parkland. Due to the model’s high accuracy and real-time user-friendly information, Parkland has adopted PARADE as a primary tool for pharmacist daily workflow for consult identification with demonstrated impact on preventing potential ADEs.
About Parkland Center for Clinical Innovation
Parkland Center for Clinical Innovation (PCCI) is an independent, not-for-profit, healthcare intelligence organization affiliated with Parkland Health & Hospital System. PCCI focuses on creating connected communities through data science and cutting-edge technologies like machine learning. PCCI combines extensive clinical expertise with advanced analytics and artificial intelligence to enable the delivery of patient-centric precision medicine at the point of care.
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Health Data Management’s story on PCCI’s successes with preventing preterm births
Healthcare IT News Interview with Steve Miff on reducing pre-term births
In The News: PCCI collaborates with mental health services coalition in Gregg County, Texas
PCCI’s collaboration with a healthcare services coalition in Gregg County designed to improve support for mental health in the region was highlighted in the Longview News-Journal. Click the headline below to see the full article:
Gregg County collaborative designed to funnel mentally ill from hospital ERs
The Parkland Center for Clinical Innovation is a Dallas-based collaborative team of data scientists and healthcare professionals who use data and social determinants of health to better support under-served communities, and it has agreed to help with data analysis, Williams said.
D CEO Healthcare: Avoiding Pre-Term Birth with Text Messages
D CEO Healthcare features PCCI’s work with the Parkland Community Health Plan and Parkland Hospital on pre-term birth prevention. The results of this work show how PCCI and Parkland are working together to develop innovative ways to improve healthcare for the under-served in our community.
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Avoiding Pre-Term Birth with Text Messages in Dallas
At the Parkland Center for Clinical Innovation, data analytics and technology are improving outcomes for underserved pregnant women in Dallas. One significant way to reduce maternal and infant mortality is to avoid pre-term birth, and in 2017, Texas had a 10.4 percent pre-term birth rate – earning a D in the annual ranking from March of Dimes.
The women were enrolled in the Parkland health plan, which reached out to them to get the women signed up for the texting system. Pre-term birth can be a difficult thing to predict, says Dr. Joseph Chang, Associate Chief Medical Officer for Outpatient and Ambulatory Services at Parkland. Traditionally, the only way to know if a women was going to have a pre-term birth was if she had a past pre-term birth. But he says that a couple of interventions, including progesterone shots, can make a huge difference.
“Adherence to medicine is the biggest factor,” Chang says. “If we really were able to identify the right people, use a platform for today’s young parents, maybe that would really work.”
Because Parkland is both the health plan and the healthcare provider, PCCI was able to access both sides of the payer relationship in a way that can be difficult to access in traditional healthcare systems. Their system brought the electronic health record together with behavioral health information to identify the women, and yielded impressive results.
Appointments were closely monitored, with PCCI measuring data along the way to adjust the text messaging and tailor it to the patients’ needs. After just one year, women in the program increased prenatal visit attendance by 24 percent, reduced pre-term birth by 27 percent. The program also reduced post-delivery cost by 54 percent in the first year. The 679 women who enrolled saved the system $1 million in the first year.
Fighting healthcare battles before the patient arrives at the doctor is important for PCCI CEO Steve Miff. “Health begins where we work, live, learn, play, and pray,” he says. “We are moving upstream, because if they are not addressed it will have a negative impact on health.”
Politico covered PCCI’s efforts to reduce frequent flyers by targeting patients who lacked many of the supports needed after they left the hospital. Their software connected social service agencies to the healthcare system to refer patients to get those services outside of the hospital, which would be cheaper and more efficient than seeing patients return again and again because they lacked food or housing. The impact was significant. The pre-term birth program is another way to head off medical costs before they happen.
Looking ahead, PCCI hopes to continue to fight social isolation to provide access to services, improving many of the behavioral and environmental factors that negatively impact health. “How do we use digital tech and bring women together, create clusters of similar individuals, customize behavioral therapy?” Miff says. “We can do that via a digitally provided environment, we can do it from home, and bridge the gap via telemedicine.”
Chang sees this technology being applied to any number of ailments, but sees a massive opportunity in addressing diabetes treatment. There are apps for measuring and taking glucose, but the texting might be more effective because it doesn’t require another application. “The biggest problem is taking their medicine – taking it and taking it correctly.”