Machine learning helps cancer center with targeted COVID-19 outreach – Healthcare IT News
Regional Cancer Care Associates, based in New Jersey, has more than 20 locations throughout New Jersey, Connecticut, Maryland, Pennsylvania and the Washingtonarea. Staff realized they needed a risk-stratified list of patients for COVID-19 vulnerability that nurses could manage through phone calls and by coordinatingservices with other providers.
THE PROBLEM
Because of staffing challenges, the list had to identify only the high-risk patients who staff needed to manage first, not the entire population or those patients who could wait a bit longer for nurse outreach.
"Even though we already had an indigenous and independent scoring logic/mechanism for patient risk, this was mainly based on a combination of comorbidities that differentiated it from the usual scoring techniques," explained Lani M. Alison, vice president of quality and value transformation at RCCA.
"Thus," she said, "there was a need to further stratify the risk patients for COVID-19 vulnerability and to establish a patient-centered assessment and outreach."
On another note, staff observed challenges in assigning these patients and a defined patient roster to care coordination executives or support staff, which was hindering a patient-centric outreach approach, Alison added.
PROPOSAL
RCCA turned to artificial intelligence-based health IT vendor Health EC to help address the challenges.
"HealthEC was able to run their machine learning algorithms to identify the patients at highest risk for COVID-19 and therefore focus our care coordination resources," Alison said. "Algorithms re-stratified these patients and assigned a ranking to each patient with an associated risk score."
Lani M. Alison, Regional Cancer Care Associates
The result was a defined patient list that enabled the RCCA team to reach the highest of the high-risk population. The list proved very helpful, and it became an essential part of RCCA's care management documentation platform. It helped focus initial care management calls and increase the effectiveness of the team.
"RCCA also used the list to streamline the COVID-19 huddles and provide this information to practice administrators at each of our sites to help manage patient outreach, mitigate the risk and provide educational information," she said.
MEETING THE CHALLENGE
Data was aggregated from claims, clinical, labs and HIE data sources into the universal data warehouse used by HealthEC. This created a longitudinal, 360-degree view of the patient.
"This single longitudinal view gave us easy access to all the patients' care records and pooled data, including demographics, vitals, diagnosis, etc., from different sources, like the EHR, claim files, CCDAs and ADTs," Alison explained.
"Users were able to have access to patient clinical information without jumping around into different modules. It created a one-stop shop."
HealthEC's Care Connect Pro empowered RCCA staff to stratifyhigh-risk patients (10% of its entire population), not only for COVID-19 risk management, but also for better care management overall, she said.
"Care coordinators, nurses and staff used the CCPro tool to document patient outreach, education material and medication management," she said. "Each patient was assigned a dedicated care coordinator to help mitigate the risk of hospitalization."
Along with the aforementioned clinical data, diagnostic information was added for integrated patient care plans with LabCorp data. This ensured a real-time dynamic flow of information that proved crucial for physicians to design a care pathway or to decide the next milestones of a care plan, she added.
Data received from CRISP theChesapeake Regional Information System for our Patients, the area's HIE was also processed and synchronized into the system to ensure real-time availability of admissions and discharge information.
That is all part of phase one:patient identification. Phase two is interventions and outcomes. This phase requires RCCA staff to:
RESULTS
RCCA reports success with three key metrics.
First, billable transitional care management and chronic care management services now live in some of the practices.
"With targeted patient outreach, patient-specific CCM and TCM, and customized COVID-19 assessments, services were made available to patients after running rigorous risk-stratification protocols to filter out high-risk patients; 10% of the identified entire high-risk population for COVID-19 was validated by the practice by outreach and tele-connections," Alison explained.
Second, improvement in pain and advance care planning measures.
"We had timely interventions to close care gaps," Alison said. "The ACP measure requires patients to report the status of pain within 48 hours. The real-time pain assessments and scores help to close care gaps and ensure the patients are contacted within a specific time interval, 48 hours, to ensure patients' pain was brought to comfortable levels and satisfy the measure compliance."
And third, access to CRISP (Maryland's health information exchange) proved to be a game changer for the provider organization.
"Ease of integration was key," Alison said. "Embedding and onboarding of data from multiple sources, like EHRs, HIEs, claims, CCDAs, etc.,was a big plus to provide caregivers easy access to all types of data in one single place."
ADVICE FOR OTHERS
"Targeted patient outreach using preprocessed and intuitive data sets formed as a result of the summary of various clinical and nonclinical information can help optimize the utilization of staff or resources and thereby ensure better care outcomes and patient satisfaction," Alison advised.
"Inferences from data analytical tools work best in scenarios where data flow is not intermittent but continuous, real-time and unbiased, or deduplicated," she said. "In order to derive definitive insights that can help in decision-making and planning for the organization, the quality and quantity of data inputs is very critical."
Twitter:@SiwickiHealthITEmail the writer:bsiwicki@himss.orgHealthcare IT News is a HIMSS Media publication.
Read more from the original source:
Machine learning helps cancer center with targeted COVID-19 outreach - Healthcare IT News
- Machine learning provide new insights into how the brain responds to heroin use - News-Medical - May 2nd, 2025 [May 2nd, 2025]
- Machine Learning and AI in Basic HIV Research: From Big Data Analysis to Large Language Models - UNC Gillings School of Global Public Health - May 2nd, 2025 [May 2nd, 2025]
- Machine learning brings new insights to cells role in addiction, relapse - University of Cincinnati - May 2nd, 2025 [May 2nd, 2025]
- UH/UC Researchers Use Machine Learning to Map Brain Changes from Heroin Addiction - University of Houston - May 2nd, 2025 [May 2nd, 2025]
- Machine Learning Algorithm Predicts Shiba Inu Price In May You Should See This - The Crypto Update - May 2nd, 2025 [May 2nd, 2025]
- Seerist partners with SOCOM to enhance AI and machine learning for special operations - Defence Industry Europe - May 2nd, 2025 [May 2nd, 2025]
- How machine learning can spark many discoveries in science and medicine - The Indian Express - April 30th, 2025 [April 30th, 2025]
- Machine learning frameworks to accurately estimate the adsorption of organic materials onto resin and biochar - Nature - April 30th, 2025 [April 30th, 2025]
- Gene Therapy Research Roundup: Gene Circuits and Controlling Capsids With Machine Learning - themedicinemaker.com - April 30th, 2025 [April 30th, 2025]
- Seerist and SOCOM Enter Five-Year CRADA to Advance AI and Machine Learning for Operations - PRWeb - April 30th, 2025 [April 30th, 2025]
- Machine learning models for estimating the overall oil recovery of waterflooding operations in heterogenous reservoirs - Nature - April 30th, 2025 [April 30th, 2025]
- Machine learning-based quantification and separation of emissions and meteorological effects on PM - Nature - April 30th, 2025 [April 30th, 2025]
- Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic... - April 30th, 2025 [April 30th, 2025]
- AQR Bets on Machine Learning as Asness Becomes AI Believer - Bloomberg.com - April 30th, 2025 [April 30th, 2025]
- Darktrace enhances Cyber AI Analyst with advanced machine learning for improved threat investigations - Industrial Cyber - April 21st, 2025 [April 21st, 2025]
- Infrared spectroscopy with machine learning detects early wood coating deterioration - Phys.org - April 21st, 2025 [April 21st, 2025]
- A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems - Nature - April 21st, 2025 [April 21st, 2025]
- Machine learning model to predict the fitness of AAV capsids for gene therapy - EurekAlert! - April 21st, 2025 [April 21st, 2025]
- An integrated approach of feature selection and machine learning for early detection of breast cancer - Nature - April 21st, 2025 [April 21st, 2025]
- Predicting cerebral infarction and transient ischemic attack in healthy individuals and those with dysmetabolism: a machine learning approach combined... - April 21st, 2025 [April 21st, 2025]
- Autolomous CEO Discusses AI and Machine Learning Applications in Pharmaceutical Development and Manufacturing with Pharmaceutical Technology -... - April 21st, 2025 [April 21st, 2025]
- Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression - ACS Publications - April 21st, 2025 [April 21st, 2025]
- Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in... - April 21st, 2025 [April 21st, 2025]
- Machine learning-based differentiation of schizophrenia and bipolar disorder using multiscale fuzzy entropy and relative power from resting-state EEG... - April 12th, 2025 [April 12th, 2025]
- Increasing load factor in logistics and evaluating shipment performance with machine learning methods: A case from the automotive industry - Nature - April 12th, 2025 [April 12th, 2025]
- Machine learning-based prediction of the thermal conductivity of filling material incorporating steelmaking slag in a ground heat exchanger system -... - April 12th, 2025 [April 12th, 2025]
- Do LLMs Know Internally When They Follow Instructions? - Apple Machine Learning Research - April 12th, 2025 [April 12th, 2025]
- Leveraging machine learning in precision medicine to unveil organochlorine pesticides as predictive biomarkers for thyroid dysfunction - Nature - April 12th, 2025 [April 12th, 2025]
- Analysis and validation of hub genes for atherosclerosis and AIDS and immune infiltration characteristics based on bioinformatics and machine learning... - April 12th, 2025 [April 12th, 2025]
- AI and Machine Learning - Bentley and Google partner to improve asset analytics - Smart Cities World - April 12th, 2025 [April 12th, 2025]
- Where to find the next Earth: Machine learning accelerates the search for habitable planets - Phys.org - April 10th, 2025 [April 10th, 2025]
- Concurrent spin squeezing and field tracking with machine learning - Nature - April 10th, 2025 [April 10th, 2025]
- This AI Paper Introduces a Machine Learning Framework to Estimate the Inference Budget for Self-Consistency and GenRMs (Generative Reward Models) -... - April 10th, 2025 [April 10th, 2025]
- UCI researchers study use of machine learning to improve stroke diagnosis, access to timely treatment - UCI Health - April 10th, 2025 [April 10th, 2025]
- Assessing dengue forecasting methods: a comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil - Tropical... - April 10th, 2025 [April 10th, 2025]
- Machine learning integration of multimodal data identifies key features of circulating NT-proBNP in people without cardiovascular diseases - Nature - April 10th, 2025 [April 10th, 2025]
- How AI, Data Science, And Machine Learning Are Shaping The Future - Forbes - April 10th, 2025 [April 10th, 2025]
- Development and validation of interpretable machine learning models to predict distant metastasis and prognosis of muscle-invasive bladder cancer... - April 10th, 2025 [April 10th, 2025]
- From fax machines to machine learning: The fight for efficiency - HME News - April 10th, 2025 [April 10th, 2025]
- Carbon market and emission reduction: evidence from evolutionary game and machine learning - Nature - April 10th, 2025 [April 10th, 2025]
- Infleqtion Unveils Contextual Machine Learning (CML) at GTC 2025, Powering AI Breakthroughs with NVIDIA CUDA-Q and Quantum-Inspired Algorithms - Yahoo... - March 22nd, 2025 [March 22nd, 2025]
- Karlie Kloss' coding nonprofit offering free AI and machine learning workshop this weekend - KSDK.com - March 22nd, 2025 [March 22nd, 2025]
- Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals -... - March 22nd, 2025 [March 22nd, 2025]
- Machine learning analysis of cardiovascular risk factors and their associations with hearing loss - Nature.com - March 22nd, 2025 [March 22nd, 2025]
- Weekly Recap: Dual-Cure Inks, AI And Machine Learning Top This Weeks Stories - Ink World Magazine - March 22nd, 2025 [March 22nd, 2025]
- Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of... - March 22nd, 2025 [March 22nd, 2025]
- Machine learning aids in detection of 'brain tsunamis' - University of Cincinnati - March 22nd, 2025 [March 22nd, 2025]
- AI & Machine Learning in Database Management: Studying Trends and Applications with Nithin Gadicharla - Tech Times - March 22nd, 2025 [March 22nd, 2025]
- MicroRNA Biomarkers and Machine Learning for Hypertension Subtyping - Physician's Weekly - March 22nd, 2025 [March 22nd, 2025]
- Machine Learning Pioneer Ramin Hasani Joins Info-Tech's "Digital Disruption" Podcast to Explore the Future of AI and Liquid Neural Networks... - March 22nd, 2025 [March 22nd, 2025]
- Predicting HIV treatment nonadherence in adolescents with machine learning - News-Medical.Net - March 22nd, 2025 [March 22nd, 2025]
- AI And Machine Learning In Ink And Coatings Formulation - Ink World Magazine - March 22nd, 2025 [March 22nd, 2025]
- Counting whales by eavesdropping on their chatter, with help from machine learning - Mongabay.com - March 22nd, 2025 [March 22nd, 2025]
- Associate Professor - Artificial Intelligence and Machine Learning job with GALGOTIAS UNIVERSITY | 390348 - Times Higher Education - March 22nd, 2025 [March 22nd, 2025]
- Innovative Machine Learning Tool Reveals Secrets Of Marine Microbial Proteins - Evrim Aac - March 22nd, 2025 [March 22nd, 2025]
- Exploring the role of breastfeeding, antibiotics, and indoor environments in preschool children atopic dermatitis through machine learning and hygiene... - March 22nd, 2025 [March 22nd, 2025]
- Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations -... - March 22nd, 2025 [March 22nd, 2025]
- 'We want them to be the creators': Karlie Kloss' coding nonprofit offering free AI and machine learning workshop this weekend - KSDK.com - March 22nd, 2025 [March 22nd, 2025]
- New headset reads minds and uses AR, AI and machine learning to help people with locked-in-syndrome communicate with loved ones again - PC Gamer - March 22nd, 2025 [March 22nd, 2025]
- Enhancing cybersecurity through script development using machine and deep learning for advanced threat mitigation - Nature.com - March 11th, 2025 [March 11th, 2025]
- Machine learning-assisted wearable sensing systems for speech recognition and interaction - Nature.com - March 11th, 2025 [March 11th, 2025]
- Machine learning uncovers complexity of immunotherapy variables in bladder cancer - Hospital Healthcare - March 11th, 2025 [March 11th, 2025]
- Machine-learning algorithm analyzes gravitational waves from merging neutron stars in the blink of an eye - The University of Rhode Island - March 11th, 2025 [March 11th, 2025]
- Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods - Nature.com - March 11th, 2025 [March 11th, 2025]
- AI in Esports: How Machine Learning is Transforming Anti-Cheat Systems in Esports - Jumpstart Media - March 11th, 2025 [March 11th, 2025]
- Whats that microplastic? Advances in machine learning are making identifying plastics in the environment more reliable - The Conversation Indonesia - March 11th, 2025 [March 11th, 2025]
- Application of machine learning techniques in GlaucomAI system for glaucoma diagnosis and collaborative research support - Nature.com - March 11th, 2025 [March 11th, 2025]
- Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding - Nature.com - March 11th, 2025 [March 11th, 2025]
- Hugging Face Tutorial: Unleashing the Power of AI and Machine Learning - - March 11th, 2025 [March 11th, 2025]
- Utilizing Machine Learning to Predict Host Stars and the Key Elemental Abundances of Small Planets - Astrobiology News - March 11th, 2025 [March 11th, 2025]
- AI to the rescue: Study shows machine learning predicts long term recovery for anxiety with 72% accuracy - Hindustan Times - March 11th, 2025 [March 11th, 2025]
- New in 2025.3: Reducing false positives with Machine Learning - Emsisoft - March 5th, 2025 [March 5th, 2025]
- Abnormal FX Returns And Liquidity-Based Machine Learning Approaches - Seeking Alpha - March 5th, 2025 [March 5th, 2025]
- Sentiment analysis of emoji fused reviews using machine learning and Bert - Nature.com - March 5th, 2025 [March 5th, 2025]
- Detection of obstetric anal sphincter injuries using machine learning-assisted impedance spectroscopy: a prospective, comparative, multicentre... - March 5th, 2025 [March 5th, 2025]
- JFrog and Hugging Face team to improve machine learning security and transparency for developers - SDxCentral - March 5th, 2025 [March 5th, 2025]
- Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning - Nature.com - March 5th, 2025 [March 5th, 2025]
- AI and Machine Learning Operationalization Software Market Hits New High | Major Giants Google, IBM, Microsoft - openPR - March 5th, 2025 [March 5th, 2025]
- FICO secures new patents in AI and machine learning technologies - Investing.com - March 5th, 2025 [March 5th, 2025]
- Study on landslide hazard risk in Wenzhou based on slope units and machine learning approaches - Nature.com - March 5th, 2025 [March 5th, 2025]