Work related to ICD-10, Meaningful Use and electronic health record (EHR) implementation has taken up considerable bandwidth in 2015, limiting what hospitals could implement beyond these.
By contrast, 2016 will provide healthcare professionals with the opportunity to leverage data to optimize decision-making and communication. Value-based care is gaining momentum, and hospitals must act now, or face the consequences.
Clinical decision support software developer QPID Health, formed at Massachusetts General, agreed to an acquisition by benefit management solutions company eviCore Healthcare recently. In an interview at HIMSS, QPID CEO Mike Doyle talked about how the deal went down, although he declined to offer financial details of the transaction.
He recalled that QPID hadn’t been looking for an M&A deal when it sat down with the South Carolina-based medical benefits manager but things took a turn.
Big data analytics is a top priority for Partners HealthCare as it works to optimize its newly-launched Epic EHR platform.
Partners HealthCare, the integrated health system that includes top-ranked facilities like Massachusetts General Hospital (MGH) and Brigham and Women’s Hospital, is used to going big in the health IT space.
From its massive $1.2 billion investment in an Epic Systems EHR infrastructure to its major involvement in cutting-edge research to its broad expertise with big data analytics and population health management, Partners has never been afraid to be out in front of the pack.
In 2007, this focus on innovation and data-driven healthcare helped spark the development of the Queriable Patient Interface Dossier (QPID), a clinical intelligence platform cooked up in the radiology department of MGH by Dr. Michael Zalis and software architect Mitch Harris, PhD.
Partners HealthCare is investing in a software tool that will help its doctors better navigate patient data.
Boston startup QPID Health built the system, which scans patients’ electronic health records — vitals, medication histories, genomic data — and summons a relevant summary quickly, when a doctor calls it up.
“There are all these clinical gems in the record that never see the light of day,” said CEO Michael Doyle.
“We are facing a perfect storm” in regards to current pressure on radiologists from many different sides to control costs, and measure quality while shifting from fee for service to fee for value models, Michael E. Zalis, MD, associate professor of radiology at Harvard Medical School, said at RSNA 2015. As a result, he said, many radiologists are “rebelling against the accelerating treadmill they are being forced to run on” and are looking for ways to avoid commoditization through the use of advanced health record technology as well as advanced decision support tools.
Implementation of electric health records (EHR) has been defined by clearly stated goals and — thus far — frustrating results. Carl Cameron of Holyoke Medical Center explains how they are using QPID Health software to address the issues: “We’re in the process now of implementing a product called QPID, which is essentially like a Google for healthcare. Basically, it sits on top of your medical record and becomes a search engine to help us do surveillance on a behavioral-health patient or cardiac patient, for example; when the patient presents in the emergency room, it will give the clinician a dashboard of past information so they don’t have to search the entire medical record. We believe that snapshot provides a higher level of care for the patient, helping clinicians make real-time decisions in the emergency room.”
EHRs provide a wealth of data, but the time it takes to make sense of that information can be overwhelming. Massachusetts General Hospital implemented a solution to efficiently mine unstructured data for clinical decision support.
As doctors and nurses struggle with EHR systems that are big and clunky, their health systems’ leaders are increasingly searching for tools that gather unstructured data and give it some substance to try to add value and usability. The mission: Find a way to capitalize on reams of data coming from all angles — EHRs, HIEs (health information exchanges), and even home-based platforms and devices — and make it meaningful. Through solutions that help piece together a complete portrait of the patient to enable clinicians to analyze data stored in a digital health record, it’s possible to enhance patient care and improve outcomes.
New Gartner report highlights 2015’s “coolest” innovative vendors for healthcare providers and payers.
What makes a healthcare vendor cool? Innovative solutions that solve real challenges for the healthcare C-suite and payer market, according to recent Gartner reports. Each year, Gartner carefully selects a list of “Cool Vendors” representing innovative technologies and business models.
For healthcare providers, these vendors offers provider CIOs, CMIOs and IT leaders offer innovative ways to address some of the perplexing problems these organizations are currently facing. For healthcare payers, these vendors bring innovative products in bundled payments, home monitoring, medical identity protection, and wellness app and device integration.
This year’s “Cool Vendor” for healthcare providers spotlight vendors tackling revenue cycle, clinical surveillance, clinical analytics, nursing and patient engagement with real-time and cloud-based solutions:
1. QPID Health
QPID is transforming clinical data sourced from EHRs and other repositories into actionable information for quality initiatives, registry fulfillment and clinical decisions. While EHRs have improved access to patient data, generating value from the information they hold still requires considerable effort including manual chart review. QPID changes that by automatically retrieving and assembling actionable information from patient records.
Reports that a quarter of New York patients who undergo cardiac catheterization likely received this invasive test unnecessarily have raised concerns for both patients and payers across the country. But when those questions arise, Creagh Milford, DO, MPH, associate medical director at Partners Health Care, and his colleagues are prepared to allay them with data that show that about 90% of catheterizations at Massachusetts General Hospital and its sister hospital Brigham and Women’s Hospital meet criteria for appropriateness.
That data and the confidence it inspires is a product of the hospital’s Queriable Patient Inference Dossier (QPID), which Milford described during a session at the HIMSS 2015 annual meeting. The QPID system is a software program that extracts data from patient records, medical literature, and relevant guidelines to help guide physicians and patients through the process of assessing the treatment options for a particular condition.
The physician still leads the process and makes the final decision, said Michael Zalis, MD, a radiologist and chief medical officer of QPID Health, a company created to commercialize the QPID platform. But the software cuts out some of the labor associated with culling relevant data from the patient’s medical record and highlights for the physician which patient data may be relevant to the decision. With these data in hand, the physician is guided through a decision tree based on the relevant clinical guidelines and professional consensus. At the end of the process, the physician and patient discuss a list of possible options graded based on their appropriateness.
The QPID system uses artificial intelligence to wade through chart data, helping doctors diagnose and treat patients.
It was just a few years ago that electronic medical records were welcomed as revolutionary. Patient information would soon flow free and fast, making paper’s cumbersome inefficiencies a distant memory.
Yet the digital reality has underwhelmed. Electronic health record (EHR) systems, while compiling reams of patient data, have proven to be clumsy and error prone. Doctors who are already pressed for face time with their patients are now spending patients’ visits staring at a screen to enter or search for information.
Enter QPID, short for Queriable Patient Inference Dossier. This artificially intelligent software system is designed to distill the sprawl of a health record—which can easily run to hundreds of arcanely written, difficult-to-search pages—into bite-size, relevant details. “There’s a rapidly increasing volume of data that clinicians are drowning in,” says Michael Zalis, a radiologist at Massachusetts General Hospital. “QPID tries to address this ‘big data’ problem.”