HealthJanuary 01, 2025

Digital medication decision support solutions should evolve at the speed of HIT

The healthcare ecosystem is characterized by both relentless innovation and an almost overwhelming amount of data and information. In a clinical setting, care teams and healthcare information technology (HIT) partners rely upon systems, tools, and protocols to organize and analyze patient data; apply new research and product findings and information; and execute a treatment plan that both improves patient safety and care, and helps them work more efficiently.

Ensuring clinical care teams have the right information at the right time and the best decision support solutions to deliver high-quality care is an important responsibility shouldered by healthcare technology leaders. As more dimensions of healthcare rely on digital solutions or platforms technology teams are critical partners in delivering high-quality care because they influence HIT (healthcare information technology) investment decisions and implementation strategies. In addition, technology leaders also need to consider how the technology environment they create affects operating efficiencies, even as patient expectations and healthcare costs escalate.

How strong is your digital foundation?

Putting in place the building blocks for a strong yet flexible and extensible digital foundation is a complex undertaking. Decisions must reflect each organization’s current and aspirational digital maturity, budget realities, patient and clinician expectations, as well as evolving national or regional standards for both HIT and standards of care. The asynchronous implementation of electronic health records (EHRs) across the globe illustrates how these factors affect the speed and breadth of digital transformation at many healthcare systems and organizations.

Stakeholders across the healthcare environment recognize that information is at the heart of safe clinical decisions, effective treatment plans, and positive patient and clinician experiences. All of these depend upon access to both the right patient information in EHRs and Clinical Decision Support tools that provide extensive, clinically relevant, and timely information.

Accordingly, implementation of EHRs remains central to many healthcare systems’ digital transformations. Standardizing relevant patient data in portable, digital form would generate tremendous value in terms of speed of patient care and unity of information. Yet that vision has yet to be realized. Currently, more than 40 organizations are developing interoperability standards worldwide, and there is no consensus on what data an EHR should contain beyond the foundational level.

In addition to grappling with EHR initiatives, healthcare technology leaders must also weigh the benefits and costs of integrating digital decision support tools into the solution ‘stack.’ Ideally, those tools work seamlessly with EHRs, generate clear improvements in care quality metrics such as readmission rates, enhance clinician workflow efficiency and satisfaction, and improve formulary management and workforce productivity. Tech leaders can support these goals by selecting Clinical Decision Support solutions that maximize their return on investment in EHRs and equip clinical teams with the right resources to make better, more informed decisions.

To make this task easier, technology leaders can use three core criteria to assess and prioritize investments that move their organizations along the digital maturity curve.

Requirement 1: Achieving and maintaining HIT accreditation

When choosing or making a referral to a healthcare organization, primary physicians and patients rely upon an organization’s reputation for operational excellence and quality care as reflected in both anecdotes and current accreditations. Gaining endorsements by regulatory authorities as well as a history of achieving higher levels of certification by neutral organizations such as HIMSS can increase prospective patient confidence, boost utilization, attract stellar clinical and support staff, and in some areas secure additional funding by governmental and private entities. In short, accreditation indicates an institution is investing in systems that safeguard and enhance patient safety and clinical care.

Technology investments contribute to accreditation

Technology leaders at healthcare organizations play a key role in securing and maintaining useful certifications and accreditations, which vary in scope. Some, such as high-level HIMSS accreditation, are fairly broad and reflect an organization’s core IT systems relative maturity and capability. Accreditation authorities will evaluate an organization’s data and information security protocols and history, whether closed-loop management of medical operations is achieved, and the appropriate investment in and implementation of Clinical Decision Support systems and solutions. Other accreditation efforts are more discreet, such as confirming that an e-prescribing application that is updated to meet industry standards for communication security, medication selection and dispensing options.

IT leaders can contribute by helping assess and build certification-ready HIT capabilities that meet or exceed industry standards for safety and accuracy. In addition to synthesizing and clearly documenting patient outcome data for accreditation committees, IT leaders often provide usage metrics for EHRs and enhanced systems such as decision support solutions as part of the accreditation application. These metrics demonstrate to assessors both whether an organization is investing in building a strong, sustainable digital foundation, and — more importantly — whether those investments translate into improved patient care, deeper organizational capabilities and knowledge, and more efficient operations.

Requirement 2: Aligning caregivers across the continuum with coordinated, evidence-based solutions

IT leaders know the financial impact and operating complications of choosing too many disjointed solutions, or, conversely, too few or incomplete applications. Application or solution proliferation can add cost and require extra effort to customize and maintain. In a healthcare organization, too few or duplicative information resources or decision support solutions increase the risk that the best information is not used to inform clinical decisions, with negative impacts on patient care and safety.

Trusted content with no gaps or duplications

Healthcare organizations benefit most from a set of solutions that provide world-class content that each team member (clinician, nurse, pharmacist) can use as needed, and that complement but not duplicate each other. Targeted resources should exist for each point of care, from intake to discharge, and in aggregate cover the entire continuum leaving no gaps.

Coordinated solutions that support evidence-based medicine initiatives

Regardless of tenure, talent or intention, no clinician can synthesize all the new data and evidence generated about disease states or potential treatments. This reality is at the core of many evidence-based medicine (EBM) initiatives which aim to provide clinical team members with current, trusted expert guidance and evidence-based content throughout the patient journey to support decisions. For many organizations, the adoption of EHRs and EBM protocols go hand-in-hand: applying the latest, evidence-based information to clinically relevant patient data allows for more precise, personalized care. Decision support tools providing vetted, EBM-based content also clarifies which factors affected decision-making and limits use of incomplete or quasi-relevant data.

Technology leaders can partner with clinicians to ensure they have the resources to meet EBM goals. The best evidence-based resources and research include meta-analyses or results from randomized trials of high methodological quality, as well as randomized trials with methodological limitations, observational studies and unsystematic clinical observations informed by expert consensus or opinions. Not all decision support solutions provide this breadth of information. Some are data aggregators that stop short of helping clinicians draw reliable inferences. Others are poorly organized or too difficult to navigate with EHRs, undercutting clinical team efficiency and satisfaction.

Requirement 3: Evolving the IT foundation to meet current and future clinical, organizational, and operating goals

The technology landscape in most healthcare organizations is complex. Beyond Clinical Decision Support solutions, the finance organization, marketing, and talent management groups all have preferred point solutions for their specialty. The technology organization is in the best position to conduct a holistic assessment of how these varied solutions and platforms work together, identifying strengths and weaknesses in IT infrastructure, applications, and platforms.

In addition to supporting the current environment, technology leaders must define a path for the future. Building a strong, flexible digital foundation is not easy, given the increase in digitalization across healthcare. The current focus on adoption and interoperability of EHRs and decision support solutions is just the beginning. Technology teams must also:

  • Evaluate the state of their mobile capabilities, including natural language processing (NLP)
  • Assess user experience with intuitive and semiautomated workflows and improve them at critical points of care
  • Determine whether, how and where to deploy advanced analytics, artificial intelligence, and machine learning to improve clinical precision and operating efficiency while maintaining compliance with patient and data privacy standards
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